BUSINESS INTELLIGENCE ANALYST JOB DESCRIPTION

Few professionals touch as many decisions per quarter as a Business Intelligence Analyst working across an enterprise. Dashboard refresh cycles, KPI definition debates with VP-level stakeholders, and the quiet work of tracing a number back to its source table - this role owns all of it. What makes it genuinely hard is the dual mandate: translating ambiguous business questions into precise SQL logic while simultaneously translating query output into narratives that non-technical leaders can act on. The analyst sits at the intersection of a data warehouse and every department that depends on it for planning, performance tracking, and resource allocation.

As the Business Intelligence Analyst, you are accountable for the full pipeline from raw warehouse data to decision-ready reporting, owning dashboard development, KPI frameworks, and the analytical deliverables that drive planning cycles across finance, operations, marketing, and product teams. You will work across a matrixed organization, partnering with business stakeholders to translate strategic questions into data requirements and delivering findings to audiences ranging from individual contributors to senior leadership.

Career Impact: Deep fluency in enterprise KPI frameworks and large-scale SQL warehousing builds the credentials that distinguish a BI Analyst from a generalist analyst and qualify them for senior analytics engineering or data product roles within three to five years.

Business Impact: Accurate, timely dashboards from this role feed planning cycles across finance, marketing, and operations; when the figures are wrong or late, leadership enters business reviews without the data needed to make sound resource decisions.

Growth Opportunity: Sustained exposure to cross-functional data domains, revenue attribution, supply chain scorecards, and marketing funnel metrics expands analytical breadth in ways that command higher market value when moving into data science or analytics management tracks.

• Design and develop dashboards and recurring reports that track KPIs across finance, operations, marketing, and product functions, ensuring data accuracy and stakeholder usability.
• Write optimized SQL queries against large relational and columnar data warehouses to extract, transform, and prepare datasets for analysis and visualization.
• Partner with business stakeholders across departments to gather reporting requirements, define metrics, and validate that analytical outputs align with decision-making needs.
• Build and maintain data documentation including data dictionaries, query run books, and process guides to support governance and self-service reporting adoption.
• Conduct ad hoc quantitative analysis to investigate performance trends, anomalies, and root causes, presenting findings to cross-functional and executive audiences.
• Develop forecasting and predictive models that inform planning cycles, budget reviews, and performance target-setting for senior leadership.
• Monitor data integrity across reporting pipelines, identifying gaps, inconsistencies, and upstream data quality issues and escalating to data engineering counterparts.
• Support self-service reporting initiatives by training non-technical users on dashboard tools and coaching teams on how to interpret and validate data outputs.

• Bachelor's degree in Computer Science, Statistics, Mathematics, Business Analytics, or a related quantitative field, or equivalent work experience.
• 3 or more years of business intelligence or data analytics experience, with demonstrated ownership of production dashboards and KPI reporting frameworks.
• Advanced SQL proficiency, including writing complex, optimized queries against large relational and columnar databases.
• Demonstrated ability to translate ambiguous business questions into structured data requirements, metrics definitions, and analytical deliverables.
• Experience designing and publishing dashboards and data visualizations for non-technical stakeholders across multiple business functions.
• Strong written and verbal communication skills, including the ability to present data narratives to senior and executive-level audiences.
• Working knowledge of ETL concepts, data warehouse architecture principles, and data quality monitoring practices.
• Ability to manage multiple concurrent projects, prioritize competing requests, and deliver accurate results within defined timelines.

• Experience working in an agile development environment, including participation in sprint planning, backlog grooming, and requirements documentation with technical teams.
• Familiarity with cloud data warehouse environments and query optimization techniques for large-scale distributed datasets.
• Exposure to statistical modeling, predictive analytics, or machine learning concepts applied to business forecasting or customer segmentation use cases.
• Experience supporting financial reporting workflows including budget variance analysis, revenue attribution, or cost performance tracking.

• Dashboard adoption rate, measured by the percentage of target stakeholders actively using published reports each period.
• SQL query performance, tracked by average query runtime reduction following optimization efforts on high-frequency production queries.
• Report delivery timeliness, measuring the percentage of recurring reports published within the agreed SLA window each cycle.
• Data quality error rate, reflecting the frequency of downstream corrections required after a published dashboard or dataset goes live.
• Stakeholder requirements closure rate, tracking the percentage of submitted analytics requests resolved within the agreed response timeframe.
• Typical tools: BI visualization platforms (commonly Power BI or Tableau); query and warehouse environments (commonly SQL Server or Redshift).

• Base Salary Range: $75,000 to $115,000 annually, depending on experience and location
• Bonus: Annual performance bonus of 5% to 15% of base salary
• Equity: RSUs or stock options common at mid-to-large technology and fintech employers
• Health Benefits: Medical, dental, and vision coverage; employer contributions vary by organization
• PTO: 15 to 20 days annually, plus public holidays and sick leave
• Common Perks: Remote or hybrid flexibility, professional development budget, data certification reimbursement

Figures are estimates based on general US market benchmarks and may be outdated. Adjust based on location, company size, and seniority level.

Background checks, including criminal history review and verification of employment eligibility, are a standard condition of hire for this position. All applicants are evaluated without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other characteristic protected under applicable federal, state, or local law. Reasonable accommodations will be provided to qualified individuals with disabilities throughout the application and employment process upon request. Candidates must be authorized to work in the United States.

The Business Intelligence Analyst owns the end-to-end development of SQL queries, automated reports, and dashboards that surface performance trends and support cross-functional decision-making across the organization. Serving a data and analytics team, this role reports to analytics leadership and delivers credibility-assured insights that directly enable accurate business decisions.

Key Responsibilities

• Develop SQL queries and generate automated daily and weekly reports.
• Create relevant KPIs and metrics.
• Integrate data from multiple datasets to streamline information.
• Gather, analyze, and interpret data from submitted requests for reports.
• Design, develop, support, and maintain dashboards and reports.
• Ensure data credibility of all results by correctly understanding both the data and business requirements behind requests.
• Create visualizations, charts, tables, and other report objects for use by non-technical users in self-service reporting tools.
• Support cross-functional teams on the day-to-day delivery of projects, initiatives, and decision-making.
• Find, clean, and integrate data into usable and helpful information.
• Drive the generation of insights that identify and utilize data analysis and measurements effectively to identify performance trends and shortfalls.
• Become the content expert regarding the database by creating clear, concise documentation for queries and processes, and regularly maintaining a descriptive database map with comprehensive descriptions.
• Formulate procedural manuals for scheduled reports and processes.
• Work with the analytics team to drive development of tools and data models to better support analytics.
• Monitor and identify gaps in reports and processes to improve efficiency and effectiveness, and monitor performance, integrity, and security of SQL instances.

Required Qualifications

• Bachelor's, Master's, or PhD in a related field with 5 or more years of experience.
• 3 or more years of querying experience using SQL, with the ability to write complex, highly optimized queries across large volumes of data.
• 3 or more years of experience analyzing financial business data using SQL.
• In-depth knowledge and understanding of underwriting desired.
• Preference given to those with experience in data visualization and delivery of results in a highly digestible format.
• Strong SQL abilities and experience with massive relational database systems.
• Proven track record of assisting business decisions with accurate data and analysis.
• Analytical mind with a proven ability to analyze, develop, and maintain ongoing metrics, reports, analyses, and dashboards to drive key business decisions.
• Strong communicator, including the ability to provide analysis with a level of complexity appropriate for different audiences.
• Ability to work with software developers, data scientists, and non-technical staff effectively.
• Ability to be both proactive and reactive in a fast-paced environment supporting multiple concurrent projects.
• Highly organized and proficient at creating clear, concise documentation.

Embedded within a cross-functional analytics environment, the Business Intelligence Analyst develops forecasting models, consumer and business intelligence databases, and reporting tools that monitor KPIs to guide strategic decision-making. Working closely with business and technology teams, this role measures program impact and presents consumer insights across the organization to directly inform investment and growth decisions.

Core Functions

• Measure the impact of major programs and initiatives on consumer behavior and perceptions, the response to digital experience testing, and the relative returns on investments.
• Develop forecasting models to predict the impact of potential actions or programs being considered.
• Determine relevant data sources applicable to business questions and diligently verify data quality and accuracy.
• Design and develop reporting tools that monitor key performance indicators and trigger actions to reinforce or redirect measures of success.
• Partner with relevant teams to determine business objectives, key drivers of success measures, and identify KPIs to collect and measure.
• Continually assess the utility of ongoing reporting to optimize the set of reports used for business measurement.
• Represent consumer and market insights across the organization through presentations, consultation, and participation in cross-functional teams.
• Develop strong relationships that enable learning about the business and how work directly impacts decisions.
• Stay current on new analytical approaches, new technologies, and new tools.
• Structure, build, and maintain consumer and business intelligence databases.
• Assist in building and maintaining databases enabling more efficient and effective analyses, and assure consistency of information used across functions.
• Maintain proficiency with major business systems and the data on which they rely, including data warehouse, web logs, and analytics platforms.

Qualifications & Experience

• Bachelor's degree.
• 4 to 6 or more years of experience.
• Exposure to and experience with a variety of advanced analytical tools and methods, including very advanced Excel, SQL, and OLAP functions, as well as statistical packages such as SAS or R.
• Experience with methods such as test-control and experimental design, regression including multivariate, data modeling techniques, cluster analysis, and factor analysis.
• SQL proficiency and database structure knowledge, including relational, columnar, and Hadoop systems.
• Ability to construct algorithms and measure model performance in applications such as search optimization, product recommendations, and marketing offer optimization.
• Ability to develop and test predictive models by designing data experiments and manipulating and preparing data for optimal use within models.
• Experience with advanced analytics or primary research methods and tools.
• Advanced knowledge and experience with various methodologies and data sources used in a consumer insights environment.
• Ability to analyze data employing statistical concepts and present recommendations based on that data.
• Ability to work with considerable independence.
• Expert writing and presentation skills, with strong oral and written communication skills, initiative, negotiation, and attention to detail.

Reporting to analytics and executive leadership, the Business Intelligence Analyst designs and develops interactive dashboards and scalable SQL solutions that support weekly business reviews, program management reviews, and monthly operational reporting. Partnering with data engineers, customer teams, and domain specialists, this role translates complex source data into accessible self-service reporting that enables leaders to manage their areas effectively.

Primary Duties

• Design and develop interactive dashboards and data solutions utilizing SQL, Tableau, and other tools.
• Understand data in source systems and develop requirements for shaping raw data to meet business requirements.
• Develop scalable SQL queries to satisfy self-service and ad-hoc analytics requirements.
• Develop and maintain documentation, run books, data dictionaries, and guides.
• Collaborate with executive partners and program management to identify and create metrics and KPIs that enable leaders to manage their areas.
• Collaborate with data and business intelligence engineers to develop strategic reporting solutions to support weekly business reviews, program management reviews, and monthly operational reporting.
• Work with customer partners and domain specialists to generate reporting, application, and integration requirements.
• Provide business analysis and technical expertise to internal and external partners.
• Maintain day-to-day workflow and communication with a variety of partners across the organization.

Skills & Qualifications

• Bachelor's degree or equivalent experience.
• 3 or more years building business reporting datasets and data visualizations.
• Experience reporting off large and sophisticated datasets.
• Experience working with end users to build mockups and design documents, and crafting user stories in a Tableau reporting environment.
• Strong analytical SQL skills, with knowledge of ETL tools and processes and familiarity with OLAP data warehouse systems including Redshift, with experience in query scaling and performance tuning.
• Familiarity with AWS services, especially Redshift, S3, RDS, and EC2, and familiarity with version control for production code in a shared repository.
• Experience with implementing data quality monitoring and alerting systems, and experience with hierarchical data structures and recursive processing techniques.
• Experience with JIRA, GitLab, and Confluence.
• Familiarity with manufacturing, PLM tools, and supply chain operations, with business domain knowledge in procurement, supply chain, manufacturing, and aerospace.
• Data warehouse architecture and modeling experience.
• Excellent written communication and presentation skills, with attention to detail and a high level of accuracy.

Sitting at the intersection of data governance and analytics delivery, the Business Intelligence Analyst builds accurate reports, visualises complex datasets, and contributes to all aspects of analytics project lifecycles to improve organizational quality and efficiency. Operating across data, compliance, and stakeholder functions, this role gathers requirements from business stakeholders and works with subject matter experts to identify data sources and implement innovative analytical solutions.

Duties

• Contribute to the creation of key data processes and procedures, and provide input to manage business definitions and metadata.
• Build, deploy, and maintain accurate and effective reports for the business.
• Stay vigilant to potential non-compliance with rules and procedures, providing guidance where possible, and report issues and risks to the Data Governance Council.
• Assist with collecting, collating, and evaluating issues and problems with data and platforms, and monitor data usage and adherence to set procedures.
• Analyse and visualise large and complex datasets, providing high-quality insight, and present findings to key stakeholders.
• Gather and interpret requirements from key business stakeholders, and liaise with internal experts to identify new innovative analytical solutions.
• Work with subject matter experts to identify data sources that can satisfy analytical requirements, and contribute to all aspects of analytics project lifecycles.
• Use a variety of tools and statistical methods to build and deliver insight.
• Assist in identifying and implementing the latest analytics tools and processes to deliver tangible business benefits.

Experience & Qualifications

• Bachelor's degree in a highly numerate discipline, such as Mathematics, Statistics, Economics, or Computer Science.
• Experience in IT or database administration.
• Experience with Java GUI front-end development, SQL, Postgres, or equivalent database tools.
• Experience with BI and advanced visualisation and analytical tools, such as Tableau, Power BI, or SAS.
• Strong IT skills, with creative problem-solving and analytical thinking abilities.
• Ability to explain complex issues to non-specialist individuals and to work with domain professionals.
• Proven ability to multi-task, work under pressure, and meet strict deadlines while prioritising workload accordingly.
• Ability to take initiative and work independently as well as in a team.
• Strong collaboration skills with excellent oral and written communication skills.
• Detail-oriented and capable of delivering a high level of accuracy.

A key member of the analytics and HR operations team, the Business Intelligence Analyst builds and maintains Power BI dashboards, extracts and cleans HR data from Workday and SQL Server, and troubleshoots reporting issues to ensure accurate, timely insights for business stakeholders. Collaborating across organizational functions, this role communicates data narratives including trends and anomalies to directly support evidence-based decision-making.

Functions

• Build and maintain dashboards and visualisations in Microsoft Power BI.
• Conduct user acceptance testing and data validation.
• Extract, compile, and clean HR data from Workday, SQL Server, and various other sources.
• Seek out new opportunities to optimise capabilities while considering downstream impact and ensuring data integrity.
• Provide data analysis for a variety of needs to better inform decision-making, and effectively communicate the narrative of the data, including trends and incongruities.
• Partner with business stakeholders to understand their requests and ensure a solution that meets their needs.
• Follow established service standards and procedures while ensuring that deadlines are met within expected time frames and quality expectations.
• Maintain a solid understanding of organisational goals and objectives.
• Troubleshoot and identify the cause of questionable results within extracts and reports.
• Communicate effectively with business clients to identify needs and evaluate alternative solutions.
• Analyse issues independently, use judgement to make decisions, and take necessary action.

Background & Experience

• Bachelor's degree in Computer Science, Information Systems, Business Management, Finance, Mathematics, Statistics, Economics, or an equivalent combination of education and experience.
• At least two years of experience with Microsoft Power BI creating dashboards and visualisations.
• At least one year of SQL Server experience.
• Expert working knowledge of Role Level Security and Z Order in Microsoft Power BI.
• Working knowledge of Microsoft Office with expert working knowledge of Excel.
• Knowledge of applicable data privacy practices and laws.
• Excellent attention to detail and problem-solving ability.
• Ability to work in a high-stress, fast-paced environment managing multiple priorities simultaneously while consistently exercising good judgement.
• Ability to gather process information and make recommendations and decisions based on data and findings.

Reliable learning data and high-quality analytics reporting depend on the Business Intelligence Analyst, who builds and maintains audience rules within Oracle Transactional Business Intelligence, designs visualisations in OTBI and Tableau, and troubleshoots issues across Oracle HCM systems to ensure requirements are met. Based within an agile product team, this role owns relationships with designated learning partners and drives process improvements that raise client satisfaction and internal efficiency.

Accountabilities

• Build and maintain audience rules within reporting analysis objects on the Oracle Transactional Business Intelligence platform.
• Own the relationship with designated learning partners and ensure their requirements are met, balanced with system considerations.
• Ensure quality and accuracy in analysis build work, and follow control routines in line with team best practices.
• Troubleshoot issues related to learning assignments, analysis queries, Oracle HCM systems, and HR data.
• Design and build reports and visualisations on OTBI and Tableau systems per requirements.
• Participate in agile routines to organise and synchronise with learning product owners and other feature teams.
• Contribute to team meetings for knowledge sharing and continuous learning of Oracle HCM system and process developments.
• Work as a product owner to write requirements and conduct tests on software developments related to learning applications.
• Drive improvements to the build and engagement process to deliver higher client satisfaction and internal efficiencies.

Professional Experience

• At least two years of experience building business intelligence solutions in a corporate or academic setting.
• Experience with agile practices and methodology.
• Experience with Oracle HCM or learning management systems strongly desired.
• Experience with robotic process automation strongly desired.
• Experience with SQL, Business Objects, Tableau, or Alteryx is a plus.
• Strong interpersonal, collaboration, communication, and presentation skills.
• Strong sense of accountability and ownership over end-to-end client deliverables.
• Ability to meet design deliverables and deadlines, with consistent follow-through and the ability to work independently.
• Ability to quickly problem-solve and get to the root cause.
• Ability to work in large, collaborative teams to achieve organisational goals.

As the Business Intelligence Analyst, this role shapes the marketing and sales reporting infrastructure by building budget forecasts, prediction models, LTV reports, and lead scoring systems that raise ROI and reflect accurate purchase conversion rates. The marketing and sales teams rely on this work to access clean visualisation tooling, understand attribution across channels, and align spend decisions with data-driven growth targets.

Day-to-Day Responsibilities

• Help prioritise the most important questions to answer to drive marketing and sales growth.
• Participate in department goal-setting and ongoing performance tracking.
• Act as a coach and mentor to the team and show stakeholders monetisation and growth opportunities.
• Define sales and marketing reporting structures.
• Build budget forecasts and monitoring reports of actuals versus targets.
• Set up visualisation tooling for internal stakeholders to access data directly.
• Report accurately on marketing attribution so stakeholders understand which marketing channels play what part in the complete portfolio.
• Build prediction models to assess marketing spend to raise efficiency and increase ROI.
• Generate LTV reports to align accurate CPAs for marketing spend.
• Create a robust and accurate account and lead generation scoring system to accurately reflect purchase conversion rates.

Knowledge Skills & Abilities

• Proven experience working with data and analytics, including statistical knowledge.
• Experience developing and driving the reporting strategy of digitally focused marketing campaigns.
• Experience presenting and interpreting content insights, especially to non-researchers.
• Expert in SQL and data manipulation to create clear visual reporting.
• Expert within the technology ecosystem, including HubSpot, Microsoft Suite, CRMs, Facebook Business Manager, and Google Analytics.
• Excellent verbal and written communication skills to tell a story using data.
• Strong strategic planning skills with the ability to manage and prioritise multiple projects with varying objectives.
• Significant attention to detail, particularly when navigating numerous data sources.

Business Intelligence Analyst delivers timely and accurate reporting solutions by selecting and applying BI tools and techniques, integrating data for analysis, and supporting users in adopting self-serve dashboards across an agile squad environment. Success in the position means ensuring data integrity through testing and controls, driving efficiency improvements in existing reporting, and enabling the business to make better decisions through high-quality visualisations built primarily in Power BI.

Scope of Work

• Develop, test, and deploy timely and accurate reporting solutions in line with agreed business and management requirements.
• Select and apply business intelligence tools and techniques to provide insights and aid decision-making.
• Select, acquire, and integrate data for analysis.
• Support users with the adoption of self-serve reporting solutions and support the definition and interpretation of dashboards, actively seeking improvements to drive efficiency.
• Ensure integrity of underlying data within reporting solutions by performing testing and implementing appropriate controls.
• Work in an agile way with squad members to understand data requirements and drive the best solution to meet needs.
• Undertake additional duties appropriate to the individual's skills and experience.

Position Requirements

• Experience using a variety of querying languages and datasets to obtain data and perform analytics.
• Experience working in an agile development environment.
• Expert in defining, building, and implementing high-quality dashboards and reports.
• Strong planning and organisational skills with the ability to work to deadlines.
• Naturally inquisitive with a data-driven approach.
• Adaptable and resourceful, with the ability to work with both autonomy and accountability.
• Ability to establish and maintain constructive and collaborative relationships.
• Passionate about data and insights, with the ability to tell a clear story from complex data using good visualisations.
• Proficient with a variety of data visualisation tools, primarily Power BI.

The Business Intelligence Analyst produces learning and knowledge management reports and visualisations for R&D and global academy stakeholders, serving as the subject matter expert on report development within the R&D academy's data-driven decision-making initiatives. Reporting to analytics and R&D leadership, this role partners across R&D, global academy, and HR functions to mature analytical solutions and translate business needs into accessible reporting outputs.

Role Responsibilities

• Collaborate with various teams to gather requirements within R&D.
• Drive conversations about data-driven decision-making within the R&D academy.
• Serve as a subject matter expert in learning and knowledge management report development.
• Visualise reporting requirements to ensure that the requested information is easily accessible.
• Collaborate with data analytics specialists to mature the solutions created for the business.
• Work as a business partner across the organisation with relevant stakeholders in R&D, global academy, and HR.

Qualifications & Experience

• Master's degree in Information Management, Business Administration, or Economics preferred.
• At least 3 to 5 years of experience as a business analyst.
• Experience working with project teams to understand and document business requirements and effectively communicate with reporting DevOps teams.
• Experience with Learning Return on Investment analytics preferred.
• Proven experience with Excel and Spotfire or similar reporting analytics tools.
• Strong analytical skills and a structured way of working.
• Ability to effectively connect as a knowledgeable and critical partner to both business and data expert teams.
• Ability to challenge stakeholders and work in multi-disciplinary teams.
• Fluent in English, both verbally and in writing.

Embedded within a government-facing intelligence support function, the Business Intelligence Analyst develops custom reporting, data automation, and workflow solutions from personnel, ERP, and training systems to deliver statistical analysis that supports mission-critical decision-making. Working closely with customers and data teams, this role leads knowledge transfer sessions and serves as a recognised subject matter expert whose outputs directly enable operational performance and process improvement.

Key Deliverables

• Provide support for raw data analytics from data warehouses to supply basic, advanced, predictive, and trend statistical analysis.
• Analyse raw data sets extracted from existing personnel systems, enterprise resource planning systems, training systems, and other government-provided information.
• Render data into simple reports and spreadsheets via Microsoft Excel or data reporting tools such as SQL Reporting Services, Power BI, PowerApps, Appian, Tableau, and other data modelling and visualisation tools.
• Lead knowledge transfer sessions for customers in the creation of customised reporting tool datasets, and provide templates, data automation, and workflows.
• Research industry trends for the application of process improvement techniques and best practices.
• Serve as a recognised subject matter expert in business intelligence analysis.
• Participate in special projects as required.
• Utilise strong communication, writing, and interpersonal skills throughout workplace performance.

Education & Experience

• Bachelor's degree in Information Technology, Computer Science, or a related technology field.
• Active Top Secret security clearance with SCI eligibility, based on a T5 or T5R investigation.
• DoD Instruction 8570 Level II Certification required within 6 months of assignment.
• Basic programming, coding, or script writing knowledge and database fundamentals knowledge.
• Excellent written communication skills.

Reporting to senior and executive leadership, the Business Intelligence Analyst prepares KPI reports, manages SQL data flows, and creates custom presentation decks that communicate product velocity, saturation, and placement performance for recurring business team meetings. Partnering with business and support units, this role assists with monthly variance analysis against budgets and forecasts and contributes to the product R&D budgeting process to support financial planning outcomes.

Areas of Ownership

• Present findings on product velocity, saturation, and placement figures.
• Assist the business and support units with various analysis or planning requirements and monthly analysis of variances against budgets and forecasts.
• Create custom presentation decks and schedules for senior and executive leadership on product placement performance.
• Prepare Key Performance Indicators for recurring business team meetings.
• Manage data flow and input into the organisational SQL database from corporate systems for reporting.
• Aid in the product R&D budgeting process and align that to a product financial forecast plan.

Minimum Qualifications

• Bachelor's degree with a major in Business, Finance, or Accounting.
• Minimum 5 or more years of experience.
• Advanced proficiency in Microsoft Excel.
• Experience with SAP and Business Warehouse is a plus.
• Experience with SQL, Access, VBA, or Tableau a plus.
• Strong verbal and written communication skills.

Sitting at the intersection of business intelligence and enterprise data architecture, the Business Intelligence Analyst develops robust data models, workflows, and company-wide analytics solutions that translate functional stakeholder requirements into scalable, data-driven decisions across CRM, project, financial, and HR datasets. Operating across technical and business teams, this role applies technical leadership to design dashboards in Tableau or equivalent platforms while managing Snowflake-based ETL processes to ensure consistent, high-quality organizational reporting.

Work Activities

• Understand various aspects of the business and underlying data, including CRM, project, financial, and HR data, to build appropriate operational reporting.
• Assist functional stakeholders in quickly and efficiently gaining insights to support decision-making.
• Translate business metrics requirements from functional stakeholders to technical scope.
• Load data from various source systems into the data warehouse.
• Develop robust and scalable data models, workflows, and security matrices to build out a company-wide analytics solution that enables efficient data-driven decisions.
• Modify and build metrics and visualisations using the analytics technology platform.
• Collaborate with functional stakeholders and the technical team, applying technical leadership to ensure stakeholder needs are met.
• Manage projects of competing priorities simultaneously.
• Design and publish dashboards and analysis to support the changing needs of the business.

Technical Qualifications

• Completion of a degree in Management Information Systems, Data Science, Data Analytics, Computer Science, or a related discipline, or an equivalent combination of education, training, and experience.
• Experience implementing data analysis and reporting projects.
• Experience designing dashboards and analysis in Tableau or other visualisation applications.
• Knowledge of how to utilise and manage ETL tools in relation to Snowflake.
• Knowledge of database management systems and SQL skills.
• Good business sense in combination with technical knowledge, including an understanding of the rationale behind KPIs and the ability to discuss them with stakeholders.
• Ability to absorb and learn new concepts quickly and multi-task across different projects.

A key member of the healthcare analytics team, the Business Intelligence Analyst develops and manages BI solutions, creates documentation, and uses data visualisation and mining tools to generate insights into clinical outcomes, employee productivity, and client satisfaction that improve organizational quality and reduce costs. Collaborating across analytics and operations teams, this role analyses business requirements, recommends process changes to leadership, and identifies development needs to streamline operations for efficiency and profitability.

Performance Expectations

• Develop and manage business intelligence solutions for the organisation.
• Provide reports to improve business processes and monitor performance.
• Collaborate with team members to collect data and execute the organisation's mission.
• Analyse business requirements and processes and recommend them to leadership for implementation.
• Create and maintain documentation that includes design, requirements, and user manuals.
• Identify development needs for the purpose of streamlining and improving operations for efficiency and profitability.
• Use data visualisation and mining software to make inferences about client satisfaction, employee productivity, employee retention, workplace culture, and health and clinical outcomes.

Required Qualifications

• Bachelor's degree in business, economics, information science, business analytics, or a related field preferred.
• A Certified Business Analysis Professional certification is a plus.
• 3 years of experience in business intelligence and at least 2 years of experience in an analytics role.
• Excellent interpersonal, communication, listening, and presentation skills.
• Excellent problem-solving and analytical skills.
• Strong management and leadership skills.
• An understanding of budgeting procedures, methods, evaluation criteria, and resource planning.
• Knowledge of business policies and regulations.

Accurate supply chain performance management and strategic planning depend on the Business Intelligence Analyst, who architects and publishes supply chain metrics, manages the analytics roadmap, and leads benchmarking activities to support data-driven cost savings and executive-level KPI reporting. Serving as the primary analytics resource within the supply chain department, this role partners with Finance, trains and mentors team members, and governs the supply chain planning process to ensure plans and roadmaps are properly developed and reviewed.

Job Functions

• Support the multi-year analytics roadmap to transform how the supply chain department uses data for decision support and process improvement.
• Architect, build, and publish supply chain metrics, analytics, and reporting for inclusion in supply chain and business communications.
• Extract and aggregate datasets from various sources, including databases and flat files.
• Apply data analytics practices and the appropriate tools, including Power BI, Python, SQL, and Hadoop.
• Gather requirements, formulate metrics, and synthesise analytics into dashboards and reports.
• Present data and information in both technical and business terms, with a compelling final product that tells a story to management.
• Analyse data sources, taxonomies, and methodologies regularly to ensure data integrity from all relevant sources.
• Identify statistically significant patterns, correlations, and compelling questions raised by such analysis.
• Govern the overall supply chain planning and performance process to ensure that plans and roadmaps are properly developed and reviewed on an established basis.
• Support the supply chain cost savings validation process, and coordinate and drive the collection, verification, and reporting of scorecard executive-level metrics and initiatives.
• Coordinate and drive development of annual performance goals, target setting, and tracking, including incentive metrics and organisational KPIs.
• Lead and support supply chain benchmarking activities by providing performance and cost information to third-party benchmarking organisations and consultants.
• Support the portfolio of projects comprising the supply chain strategic plan by tracking and monitoring milestones needed to achieve delivery.
• Partner with the Finance department and provide ad-hoc financial reports and analysis as required.
• Manage stakeholder relationships effectively and create rapport with others, anticipate needs, and accept ownership.
• Train, coach, and mentor other supply chain team members.

Qualifications & Experience

• Bachelor's degree in a technical or business-related field, with 0 to 10 or more years of related professional experience depending on level, or equivalent experience instead of a degree.
• Ability to gather requirements, formulate metrics, and convert data analysis into tangible reporting products.
• Experience with data management, report design, data visualisation, and presentation techniques.
• Advanced proficiency in Microsoft Suite and experience with BI reporting tools such as Power BI.
• Adept at SQL queries and report writing.
• Ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy.
• Strong conceptualisation skills for converting ideas and mockups into practical tools.
• Superior analytical and problem-solving skills, with the ability to work effectively with minimal supervision.
• Ability to apply project management principles.
• Intermediate-level presentation skills, including to management and executive audiences.

As the Business Intelligence Analyst, this role develops and operationalizes end-to-end BI solutions by designing, coding, and debugging Power BI and Excel applications connected to SAP and SharePoint, and building statistical models and KPIs to evaluate financial initiatives, including accounts receivable and payment datasets. The Finance, Legal, Safety, and Supplier teams rely on this work to manage data gaps, execute change management activities, and receive timely, accurate analysis that supports senior management decisions.

Core Responsibilities

• Design, code, debug, test, and document solutions based on established business requirements.
• Support BI applications such as Power BI and MS Excel, including connections to platforms such as SharePoint and SAP.
• Develop clear and well-structured analytical plans and analyze large datasets.
• Analyze data related to accounts receivable, payments, and other financial datasets, including statistical analysis of a sensitive nature.
• Identify, communicate, and resolve data gaps that impact the fulfillment of functional requirements.
• Identify, evaluate, and document potential data sources in support of project requirements.
• Build and operationalize processes that ensure timely data loading and maintain the accuracy and relevance of data.
• Develop logical and conceptual data flows in support of departmental project requirements and guide business departments in effective use of data.
• Support and execute change management activities regarding data analysis across business departments.
• Identify and communicate risks and issues in projects and programs, relaying this information to relevant leadership.
• Develop KPIs to identify trends and evaluate the success of business initiatives.
• Develop models and ad hoc reports, sharing observations and recommendations with senior management and stakeholders.
• Build, diagnose, validate, and improve statistical models over time, and create efficient and reusable SQL code for data manipulation and analysis.

Skills & Qualifications

• Bachelor's degree in Computer Science, Information Technology, Economics, Information Systems, Statistics, Applied Mathematics, Business Administration, Industrial Engineering, or a related field.
• At least 5 years of experience in a data analyst position.
• Experience in report creation, modeling, and trend forecasting.
• Background in SQL, including experience performing administrative tasks on SQL servers.
• Fast-paced and dynamic environment.
• Ability to work with diverse, cross-functional teams, including Finance, Legal, Safety, and Suppliers.
• Strong attention to detail regarding design and user experience.

Business Intelligence Analyst refines the full project and analytics delivery lifecycle by gathering and documenting business requirements, developing Qlik dashboards, managing stakeholder relationships, and coordinating internal resources and third-party vendors to execute analytics projects on time and within scope. The work directly supports the organization's data governance goals by acting as a data steward, identifying source quality issues, and ensuring all BI solutions align with global policy and business needs.

Strategic Responsibilities

• Assist business stakeholders across all levels in defining project scope and objectives.
• Gather and document business requirements.
• Develop project charters and effective project plans, including documenting data sources.
• Develop rough dashboard prototypes, including preliminary mapping of data sources and relationships to ensure alignment with the project sponsor.
• Coordinate internal resources, engineering teams, and third-party vendors for the execution of projects.
• Ensure resource availability and allocation.
• Negotiate with stakeholders to prevent scope creep.
• Maintain relationships with clients, stakeholders, and project teams, including third-party vendors.
• Create and maintain comprehensive project documentation, including status reports to management.
• Act as a data steward by investing in understanding data sources and key data integration points.
• Identify source data quality issues and suggest improvements.
• Collaborate with functional business owners and end users to determine needs and develop Qlik solutions in line with global policy.
• Participate in new development, ongoing support, and testing to ensure systems meet business needs.
• Develop applications such as dashboards and SharePoint tools for business systems and provide ongoing support.
• Prepare technical and functional documentation for solutions and work with IT teams to test and deliver.
• Update and maintain user guides, manuals, and related materials, and share knowledge with the IT team on implemented solutions.

Education & Experience

• PMP certification required.
• Experience working with data analytics and visualization tools, including Qlik Sense, QlikView, and Tableau.
• SQL and data modeling expertise.
• ETL skills, including extract, transform, and load processes, with knowledge of Alteryx highly desirable.
• Agile project management skills, with experience on analytics projects strongly desired.
• Working knowledge of Microsoft Project.
• Ability to translate business needs into technical specifications.
• Critical thinking and ability to drive conclusions based on data findings.
• Strong communication skills to interact with all levels of internal stakeholders.

The Business Intelligence Analyst creates analytical solutions and data quality reporting for global operational and product intelligence projects, translating business needs into dashboards and ETL pipelines that drive organizational change around BI standards and practices. Reporting to senior management across the organization, this role engages with internal collaborators to define requirements, partners with engineering counterparts on technical solutions, and delivers client-facing and internal outputs that advance data management outcomes.

Ownership Areas

• Lead global projects for operational analytics, business performance management, and data quality reporting.
• Demonstrate subject-matter expertise in organizational business intelligence.
• Engage with internal collaborators to understand business needs and define requirements, including performing data profiling and data analysis to drive decision-making.
• Partner with engineering counterparts by providing clear prioritization, defining return on investment, and collaborating on technical solutions.
• Deliver both product and operational analytical insights and visualizations, including client-facing and internal data management outputs.
• Develop processes to scale impact and address unstructured problems.
• Act as an internal consultant by interpreting business needs into data and analytical solutions.
• Champion organizational change around business intelligence through standard practices and training.
• Continue learning about industry trends, standards, and innovation within the business intelligence and data management domain.
• Contribute code to improve features and functionality of the technology stack.
• Work alongside senior management across the organization to meet product needs.

Required Qualifications

• Bachelor's degree in a business, finance, or technology field.
• Professional work experience in business analysis, data management, or data quality.
• Knowledge of financial markets.
• Strong analytical and dashboarding skills, with Qlik Sense and Python as a plus.
• Proficiency in data modeling and working directly with databases, with SQL as a plus.
• Proficiency in data transformation and extract-transform-load pipelines, with Python as a plus.
• Knowledge and applied understanding of industry-standard data quality dimensions and related KPI metrics.
• Strong time management and prioritization skills.
• Strong collaboration skills to work across departments and with global teams.
• Project management skills, including ideation, prioritization, communication, and delivery.

Embedded within a Data and Analytics Division, the Business Intelligence Analyst develops dashboards, decision models, and structured reports from structured and unstructured datasets to support business stakeholders across the analytics lifecycle, from data capture and transformation through to insight presentation. Working closely with senior division members and cross-functional stakeholders, this role manages metadata, ensures data quality, and communicates the impact of analytical solutions in Agile team environments supporting digital transformation.

Key Responsibilities

• Identify, analyze, and interpret trends or patterns in complex datasets using scripting languages.
• Perform analysis of structured and unstructured datasets to develop metrics, reports, and visualizations of trends and patterns.
• Use data visualization programs and techniques to generate dashboards, reports, and presentations that aid in data storytelling and interpretation of trends of business importance.
• Create and maintain decision models and business rules for ongoing and ad hoc review and analysis of data.
• Understand data requirements from within and outside the Data and Analytics Division and analyze business needs while assisting senior division members to develop the required technical requirements.
• Communicate and align with stakeholders on the purpose and impact of analytical solutions on the business.
• Collect data from different sources to enable analysis.
• Explore data for availability, quality, and completeness, and identify actions to take for data management.
• Manage data by maintaining metadata and ensuring processes and rules are managed effectively.

Qualifications & Experience

• Bachelor's degree in Statistics, Mathematics, Quantitative Analysis, Computer Science, Software Engineering, or Information Technology.
• At least 1 year of relevant experience in data-related roles.
• Experience in data management, ETL, and analysis functions.
• Experience with data analysis and BI tools such as Tableau, QlikView, and Spark.
• Basic knowledge of Python, SQL, Scala, or Java.
• Understanding of Agile principles, practices, and Scrum methodologies.
• Experience working in Agile teams to support digital transformation projects.

Reporting to business and technology leadership, the Business Intelligence Analyst generates statistical analyses using tools such as Tableau, Power BI, R, and MicroStrategy, and collaborates with partners to implement findings at scale across processes and applications that improve customer value delivery. Partnering with cross-functional business and technology teams, this role explains the research behind analytical products to clients, summarises findings for both technical and non-technical audiences, and enables data assets to solve real business problems.

Core Functions

• Generate thought-provoking analysis using BI and statistical tools such as Tableau, Power BI, R, and MicroStrategy.
• Provide client support by explaining the research behind analytical products and responding to customer support inquiries.
• Work with team members and business partners to identify opportunities where data assets and analysis can help solve business problems and improve customer value delivery.
• Create statistical analyses that answer business questions and provide context to the analytical approach used.
• Summarize and present analysis findings in a clear and actionable manner to both technical and non-technical audiences.
• Collaborate with partners across business and technology teams to implement analysis findings at scale in various processes and applications.

Skills & Qualifications

• Bachelor's degree in Computer Science, Statistics, Business, or a related field, or equivalent experience.
• At least 1 year of business analytics experience.
• Experience with AWS S3, Glue, and Snowflake is a significant plus.
• Experience providing analytics in online marketing, product development, and operations is valuable.
• Demonstrated knowledge of BI tools and statistical data analysis techniques, including Tableau, Power BI, Alteryx, and MicroStrategy.
• Proficiency in retrieving information from a variety of data storage platforms, including relational SQL databases and big data tools such as Hadoop, Hue, and Datameer.
• Strong verbal and written communication skills, including the ability to influence internal and external audiences.
• Ability to create project plans and take initiative to execute against milestones and adjust as analysis dictates.
• Ability to manipulate, mine, and analyze large and complex datasets, including combining data from disparate sources.

Sitting at the intersection of growth strategy and data engineering, the Business Intelligence Analyst executes end-to-end BI projects using PySpark and SQL to process raw data, automate reporting, and deliver actionable insights that track the performance of growth and marketing campaigns across user experience, conversion rates, and cost efficiency. Operating across data, technology, product, finance, and accounting teams, this role bridges analytical output with business needs and ensures accurate, high-quality data is consistently collected and reported.

Primary Duties

• Execute end-to-end Business Intelligence projects, including identifying success metrics, analyzing data, and building dashboards to drive and track the performance of growth and marketing teams.
• Use PySpark and SQL to process raw data, perform deep analysis of growth and marketing campaigns, and present findings in actionable insights consistent with business needs.
• Handle ad hoc requests and solve business questions to identify opportunities to enhance user experience and conversion rate.
• Automate reporting and analysis tools wherever possible.
• Ensure accurate and high-quality data is collected and reported consistently.
• Collaborate with multiple teams, including data, technology, product, finance, and accounting, and act as a bridge in tracking new schemes, products, and features to evaluate performance and cost efficiency.

Experience & Qualifications

• Bachelor's degree in Computer Science, Engineering, Statistics, or Economics.
• At least 3 years of relevant work experience in data analytics, business intelligence, or big data environments.
• Experience in data visualization platforms, including Tableau and Power BI.
• Experience with big data processing, including filtering and presenting large quantities of data.
• Advanced Microsoft Excel skills, including analytical add-ins.
• Proficiency in programming languages such as SQL and Python.
• Ability to prioritize multiple concurrent projects while delivering timely and accurate results.
• Ability to work effectively with data engineers to mine the correct data sources efficiently and accurately.

A key member of the strategic analytics team, the Business Intelligence Analyst guides the creation of senior leadership reporting, predictive models on market data, and structured, compelling messages addressed to various audiences to support business transformation across international markets. Collaborating with internal teams and senior leaders across sales and account development, this role coordinates risk mitigation, strategic alignment, and analytical work that links data to business strategies and specific growth initiatives.

Operational Focus

• Create senior leadership reporting, data analysis, planning, and performance measurement outputs.
• Manipulate multiple datasets to create different views across international markets.
• Consult and collaborate with internal teams to analyze strategic business initiatives and drive performance and profitability across sales and account development.
• Perform analytics and build predictive models on market data to support growth initiatives.
• Perform complex analysis to provide key summaries and recommendations by manipulating data.
• Identify opportunities to initiate analysis that creates a positive impact on the business.
• Adopt a broad perspective and link data into information that supports business strategies and specific initiatives.
• Act as an agent of change by initiating and adapting to change.
• Provide solutions to address business transformation, strategic alignment, technology implementation, and culture change.
• Incorporate risk mitigation planning and execution into analytical work.
• Write structured and compelling messages addressed to various audiences and levels within the organization.

Requirements

• Bachelor's degree or equivalent experience in a relevant field.
• Extensive analytical experience to support business reviews and special projects.
• Strong strategic and analytical thinking skills.
• Excellent analytical and problem-solving skills.
• Strong communication and relationship-building skills.

Rigorous control environment evaluation and continuous risk assessment depend on the Business Intelligence Analyst, who executes data validation, regression modeling, and NLP-driven analytics to support all stages of the audit lifecycle and improve governance and risk management processes. Serving as the analytics resource for the internal audit team, this role works alongside the audit committee and management, providing both advisory and systematic analytical support that elevates the effectiveness of auditing and standalone reporting projects.

Key Deliverables

• Use data creatively to discover insights, identify anomalies, and validate existing business practices and controls.
• Design experiments to confirm assumptions and answer business questions.
• Consult with cross-functional partners and senior leaders on insights, trends, and data-driven recommendations and solutions.
• Identify opportunities for using data analysis to enhance the internal audit team's role.
• Provide both advisory and analytical support by identifying, developing, documenting, and executing analytics during all relevant stages of an audit.
• Assist the audit committee and management in accomplishing objectives by bringing a systematic and disciplined approach to evaluating and improving the effectiveness of the control environment, risk management, and governance processes.
• Gain extensive exposure to diverse aspects of the business through audit and standalone projects, including reporting dashboards, process automations, and continuous auditing and risk assessment models.

Background & Experience

• Bachelor's degree in Mathematics, Statistics, Physics, Engineering, Computer Science, Operations Research, Economics, or a related field.
• Master's degree preferred.
• At least 4 years of relevant work experience.
• Experience with data validation techniques.
• Experience with Alteryx, NLP, text mining, Python, and R.
• Experience with applied statistics, including regression models.
• Proficiency in SQL and Microsoft Office Suite.

The Business Intelligence Analyst gathers and compiles intelligence from company data, industry reports, and purchased sources to identify markets, monitor customers, and shape recommendations for future product development and sales improvement. Working alongside cross-functional stakeholders, this role builds the analytical foundation that connects market trends to actionable business strategy.

Key Responsibilities

• Gather business intelligence from a variety of sources, including company data, industry reports, public information, and purchased sources.
• Assess market strategies by analyzing related products, markets, and trends.
• Use business intelligence data and tools to identify and monitor current and potential customers.
• Identify markets for future product development and methods to improve sales of existing products by analyzing technology trends.
• Compile business intelligence and trends to support actionable recommendations.
• Maintain current knowledge of industry and business trends through communication with professional organizations, suppliers, customers, and competitors.

Required Qualifications

• Bachelor's degree in a relevant field, such as Computer Science or Software Engineering.
• Prior experience in an analyst role.
• Proven experience writing MySQL queries and generating datasets.
• Thorough understanding of business processes and the industry.
• Excellent ability to analyze information and think systematically.
• Ability to handle databases and understand technology-driven business intelligence tools.
• Proficiency in Microsoft Office Suite or related software.
• Extremely organized with strong attention to detail.
• Ability to work independently and as part of a team.

Embedded within a data-driven organization, the Business Intelligence Analyst partners with operations, delivery, finance, product, engineering, and machine learning teams to build understanding, surface insights, and identify trends that improve decision-making across the business. Working closely with ETL and data warehouse developers, this role advances the data architecture and client-facing reporting that translate user patterns and model performance into measurable outcomes.

Key Deliverables

• Help all departments leverage data to build understanding, insights, and identify trends and opportunities.
• Partner with the operations team to improve and maintain operations dashboards that support team efficiency.
• Partner with the delivery team to develop and expand client-facing reporting that provides actionable insights.
• Partner with the finance team to improve financial reporting and planning.
• Partner with product and engineering teams to understand user patterns, design experiments, and measure the impact of new features.
• Partner with machine learning developers to build datasets and measure the impact of models in production.
• Collaborate with ETL and data warehouse developers to improve data architecture.

Qualifications & Experience

• At least 4 years of experience as a business intelligence or data analyst.
• Expert knowledge of SQL and NoSQL databases.
• Proficiency with Tableau.
• Proficiency in data modeling and data mining.
• Proficiency with Python is a plus.
• Understanding of machine learning fundamentals.
• Excellent verbal and written communication skills.
• Ability to manage multiple requests and priorities and set clear expectations with stakeholders.
• Ability to take ambiguous requirements and translate them into a design or project plan.

Reporting to business partners across multiple project areas, the Business Intelligence Analyst translates complex business problem statements into analysis requirements, drives root cause identification, and builds metrics tables that support strategic business review. Partnering with a central BI team, this role aligns metrics definitions and guarantees data fidelity across large-scale databases and data warehouses to deliver insights with significant business impact.

Core Functions

• Work with business partners from multiple project areas and define the analytical approach for required analysis.
• Translate complex or ambiguous business problem statements into analysis requirements.
• Derive business insights from analysis and make recommendations.
• Drive to the root causes of problems and identify root causes.
• Proactively identify problems with significant business impact and create actionable priorities.
• Build metrics tables for business review documents.
• Serve data requests from internal customers and business partners.
• Work with a central BI team to align on metrics definitions and centralization projects.
• Audit data and work with data owners to guarantee data fidelity.

Skills & Qualifications

• At least 6 years of experience in data mining and analysis, working extensively in large-scale databases and data warehouses.
• At least 6 years of experience in advanced SQL operations, with Redshift preferred.
• Advanced Microsoft Excel skills.
• Strong analytical skills with a focus on understanding customer behavior.
• Excellent written and verbal communication skills.

Sitting at the intersection of data analysis and business operations, the Business Intelligence Analyst documents dataset requirements and constructs forecasts, recommendations, and strategic plans to address issues across credit, collections, invoicing, and customer service teams. Operating across cross-functional teams, this role leads consultations with users, directly produces datasets and reports using system reporting tools, and converts business data into specifications that guide day-to-day operational decisions.

Primary Duties

• Document dataset requirements for analysis to address issues in the day-to-day operations of credit, collections, invoicing, and customer service teams.
• Identify and interpret trends and patterns in datasets to locate influences.
• Construct forecasts, recommendations, and strategic and tactical plans based on business data and market knowledge.
• Create specifications for reports and analysis based on business needs and available data elements.
• Provide consultation to users and lead cross-functional teams to address business issues.
• Directly produce datasets and reports for analysis using system reporting tools.

Education & Experience

• Bachelor's degree with 1–2 years of relevant experience, or an equivalent combination of education and experience.
• Basic understanding of data analysis and modeling tools.
• Proficiency in MS Excel for complex tasks.
• Basic experience working with MS Power BI reports.
• Proficiency with SQL and Access is a plus.
• Basic mathematics, finance, and business administration skills.
• Demonstrated analytical skills, including the ability to define problems, collect data, establish facts, draw conclusions, and make recommendations.

A key member of the IT and business intelligence function, the Business Intelligence Analyst designs coaching curricula, develops standards and policies, and supports the user community in querying data sources and using BI tools to enhance decision-making capability. Collaborating across business and technology teams, this role sustains implemented BI solutions through performance monitoring, query tuning, and communication of functional and technical issues that affect data integrity and system performance.

Day-to-Day Responsibilities

• Work closely with business partners to understand and implement key business drivers for business intelligence initiatives.
• Implement static and flexible presentation of data, including reports, visualizations, dashboards, and custom formats.
• Design and coordinate a curriculum for coaching and training business partners in the use of business intelligence tools to enhance decision-making capability.
• Support the user community in using business intelligence tools to query data sources for report outputs.
• Follow and develop standards, policies, and procedures for the form, structure, and attributes of business intelligence tools and systems.
• Support implemented BI solutions through performance monitoring and query tuning, address data integrity concerns, monitor system performance, and communicate functional and technical issues.

Technical Qualifications

• Bachelor's degree in Computer Science, Information Technology, or equivalent experience.
• At least 3 years of IT experience.
• Experience writing optimized queries.
• Experience with BI technologies such as Qlik, Tableau, or Power BI.
• Experience with reporting platforms such as SSRS or NPrint.
• Experience with SaaS solutions.

Data-driven business direction depends on the Business Intelligence Analyst, who owns deep-dive analyses, maintains and advances Power BI reporting and dashboarding platforms, and simplifies complex concepts for partners across the enterprise to drive data-driven outcomes. Based within the data and analytics group, this role implements analysis best practices and liaises with business and technology partners to build insightful analytical solutions grounded in sound data warehouse principles.

Scope of Work

• Maintain and advance reporting and dashboarding platforms in Power BI.
• Liaise with business and technology partners to build insightful analytical solutions and dashboards.
• Complete statistical analysis of large datasets to derive insights.
• Own and deliver deep-dive analyses in the form of narratives that influence business direction.
• Work closely with the data and analytics group to implement data analysis best practices.
• Simplify and communicate complex concepts to partners across the enterprise to drive data-driven outcomes.

Experience & Qualifications

• Bachelor's degree in Business, Computer Science, Analytics, or another quantitative discipline.
• At least 3 years of experience in a data analyst, business intelligence, or similar role.
• Experience creating advanced solutions using Power BI.
• Proficiency in SQL in a business environment.
• Understanding of data warehouse principles and familiarity with data modeling concepts and methodologies.
• Mastery of data visualization and analytical best practices.
• Business analysis, report design, and presentation skills.

As the Business Intelligence Analyst, this role supports and owns the delivery of business reporting requirements across multiple platforms while maintaining data warehousing solutions and resolving data integrity issues. The BI and data infrastructure team relies on this work to ensure that Power BI reporting, self-service tools, and enterprise data warehouse solutions remain accurate, current, and accessible to end users and business stakeholders.

Activities

• Support and own delivery of business reporting requirements via different reporting platforms.
• Maintain and support data warehousing solutions to ensure they are kept up to date and resolve any data integrity issues.
• Support the capturing of requirements and functionality for new reporting projects.
• Work with the business to deliver reporting requirements via Power BI or self-service tools.
• Work with the support desk to resolve requests and issues.

Background & Experience

• At least 3 years of experience in a BI specialist role.
• Experience with Analysis Services and delivering business intelligence information to end users.
• Experience working with numerous data sources to provide enterprise data warehouse solutions.
• Strong understanding of Power BI and similar data visualization tools.
• Proficiency in SQL Server Reporting Services 2008 and 2016.
• Strong Business Objects skills.
• Strong analytical and problem-solving skills.
• Ability to develop and present clear and insightful reports to stakeholders.

Business Intelligence Analyst produces and maintains actionable dashboards and reporting that identify business trends from internal and external data, supporting IT data warehouse development in a high-growth environment. Success in the position means translating ERP, CRM, and statistical analysis outputs into structured, accurate, and timely reporting that drives measurable business performance across the organization.

Accountabilities

• Partner throughout the business to identify reporting needs and translate them into actionable dashboards.
• Facilitate change management of reporting options and usage throughout the organization.
• Partner with IT data warehouse development to build structured, accurate, and timely reporting.
• Identify business trends utilizing internal and external data.
• Test and solve problems to help drive business performance.

Professional Experience

• Bachelor's degree in a related technical field, such as business or computer science, with a master's degree as a plus.
• At least 5 years of associated work experience in a high-growth and fast-paced environment.
• Prior experience with ERP systems such as SAP and Oracle, and CRM systems such as Salesforce and MS Dynamics, including reporting through visualization tools.
• Proficiency in Tableau Desktop, Tableau Prep or Alteryx, and SQL Server Management Studio.
• Proficiency in statistical analysis tools, including R, SPSS, and SAS.
• Proficiency in SQL and Python.

The Business Intelligence Analyst builds databases from provided information, creates requested dashboards, and produces reports to support operations while working closely with local and global project stakeholders to implement process improvements. Reporting to project stakeholders across local and global teams, this role delivers data visualization and query-driven analysis that directly supports operational efficiency and decision-making.

Key Responsibilities

• Analyze databases and create the queries necessary for operations.
• Build databases from provided information.
• Create requested dashboards.
• Produce reports related to the information analyzed.
• Work closely with local and global project stakeholders to implement solutions that improve processes.

Required Qualifications

• Bachelor's degree in Engineering or a related field.
• At least 1.5 years of experience in a relevant role.
• Excellent knowledge of SQL.
• Power BI and data visualization skills.
• Intermediate-level English proficiency.
• Self-driven and goal-oriented with the ability to multitask and a high level of accountability.

Embedded within a dedicated seven-person IT team at Kensington Mine Site, the Business Intelligence Analyst designs, creates, and maintains physical and logical data models while meeting with stakeholders at all levels to accurately identify the scope and needs of requested reports and dashboards across surface, underground, and field environments. Working closely with local management and corporate vendors, this role builds data collection systems, develops visualizations in Alteryx and Tableau, and maintains flexible on-call support to advance operational data infrastructure in a physically demanding setting.

Core Functions

• Evaluate current systems and methods and develop data collection systems, databases, strategies, and improvements to efficiency and quality, providing direct support to end users for visualization.
• Work with local management to prototype and implement new data collection systems from various on-site, underground, and field sources back to the local data warehouse.
• Develop general and detailed designs and quality documentation, and maintain accurate documentation on all data systems, hardware, and software, including technical documentation on configuration and collection procedures.
• Perform regular database monitoring, maintenance, and upkeep, including working with system administration to verify hardware health, server and storage resources, and data health.
• Review data collection systems for cost-effectiveness, compliance with standards, flexibility, and efficiency to meet future needs.
• Assist, support, and troubleshoot issues, and recommend solutions for data producers, users, and consumers.
• Work with users to produce effective and meaningful dashboards via Alteryx and Tableau.
• Work with local and corporate vendors to plan, requisition, install, maintain, and troubleshoot various data collection systems.
• Assist other members of the IT department as prescribed by management and maintain flexible on-call weekend rotation status.
• Maintain current understanding of new and upcoming BI and data-related technologies and continuously improve personal and professional BI knowledge through technical articles and online courses.
• Promote safe behavior and work safely at all times.

Qualifications & Experience

• Bachelor's degree in Computer Science, Information Management, Data Science, or a related discipline, or equivalent experience preferred.
• Approximately 2–5 years of proven work experience with BI processes and data analytics.
• Strong knowledge of reporting packages, databases, programming, and dashboarding software.
• Knowledge of database design, systems, and backup standards and best practices.
• Excellent organizational and project management skills.
• Ability to produce high-quality data visualization objects in reports or dashboards.
• Ability to write effective queries, write reports, and present findings.
• Ability to communicate with all levels of management and employees, both written and verbally.
• Ability to work independently and within a team.
• Ability to translate business needs into technical solutions.
• Ability to safely load and operate vehicles in a variety of conditions, including heavy rain, snow, and varying underground conditions.

Reporting to senior leadership, the Business Intelligence Analyst performs heavy data analysis, documents business processes, and develops T-SQL stored procedures, SSRS reports, and ETL/SSIS solutions to support consistent automated reporting and business metrics across finance and sales performance management. Partnering with business analysts, IT, and cross-functional teams, this role produces monthly and quarterly reports within finance close timelines while ensuring confidentiality, regulatory compliance, and quality of all internally and externally delivered metrics.

Operational Focus

• Perform heavy data analysis and research to manipulate, analyze, and identify trends in results.
• Support the creation of new methods for communicating business analysis and reporting results using standard tools and environments.
• Produce monthly and quarterly reports within expected finance close timelines while ensuring quality and timeliness of work products.
• Document important flows and processes to support ongoing operational cadence and meet compliance and regulatory requirements for internally and externally delivered metrics.
• Execute all responsibilities with a high level of confidentiality, professional discretion, and absolute security of information in the context of finance and sales performance management.
• Analyze, design, create mockups, and develop reports and dashboards with complex logic.
• Collaborate with business analysts and other technical team members during requirements gathering and guide the writing of technical specifications.
• Troubleshoot and provide technical assistance for business issues and projects.
• Develop relationships and integrate activities with cross-functional teams to ensure successful implementation of company-wide and department-wide projects.
• Consolidate weekly status reports based on team input to inform management of project status, estimated completion dates, and outstanding issues.
• Assist other analysts as needed.
• Understand requirements and develop T-SQL stored procedures, views, and functions.
• Analyze and design data models in data warehouses, ETL/SSIS, SSRS reports, Excel reports, and T-SQL queries in close partnership with IT.

Education & Experience

• University degree or equivalent experience with a minimum of five years of prior relevant experience.
• Master's degree with three years of experience, or a PhD.
• Preferred practical knowledge of project management.
• Advanced knowledge of the job area obtained through advanced education combined with experience.
• Strong understanding of back-end SQL Server databases.
• Proficiency in T-SQL stored procedures, views, and functions.
• Familiarity with Tableau, Power BI, or similar reporting tools.
• Understanding of the system development life cycle, including analysis, design, coding, troubleshooting, documentation, testing, and implementation.
• Good communication skills with the ability to work directly with end users to gather requirements.
• Ability to serve as the subject matter expert and trusted advisor for delivering analysis and reports.

Sitting at the intersection of quantitative analysis and credit strategy, the Business Intelligence Analyst develops underwriting criteria, writes automated decisioning credit policy code, and conducts quantitative analysis to identify trends and improve loan decisioning processes across origination and servicing areas. Operating across cross-functional teams and executive leadership, this role develops performance reporting and data-driven recommendations that ensure risk and pricing models are soundly built, accurately tested, and continually benchmarked to drive profitable loan growth.

Job Functions

• Dive into data and become an expert on internal and non-traditional data sets.
• Use creativity and problem-solving skills to identify trends and drive adjustments to underwriting capabilities.
• Conduct quantitative analysis to develop underwriting criteria and identify opportunities to automate and improve loan decisioning processes.
• Write automated decisioning credit policy code in the decisioning engine, test the accuracy of the logic, and maintain the auto-decisioning credit policy.
• Develop performance reporting and present results to cross-functional teams and executive leadership.
• Develop recommendations to improve returns and grow profitable loan origination and present findings to executive leadership.
• Ensure risk and pricing models are soundly developed, accurately tested, and continually benchmarked.
• Identify new insights, including external data sources that differentiate loan performance.

Knowledge Skills & Abilities

• Bachelor's degree in Finance, Mathematics, Engineering, or a similar quantitative field.
• Master's degree preferred.
• Two to three years of hands-on experience in a coding language such as R, SAS, Python, or VBA.
• Ability to read, analyze, and interpret scientific and technical journals, financial reports, and legal documents.
• Ability to calculate figures and amounts such as discounts, interest, commissions, proportions, and percentages.
• Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists.
• Ability to research, think through, and solve technical and analytical problems.
• Strong communication skills, attention to detail, and analytical curiosity.

A key member of the operations research and analytics function, the Business Intelligence Analyst executes complex experiments, performs process and capacity analysis, and serves as the primary focal point for production data mining across fulfillment operations covering tools, systems, materials, and people assets. Collaborating across operations, IT, and support functions, this role applies QDM, Lean, and Six Sigma methodologies to develop and implement process improvements, technological upgrades, and automation that achieve operational excellence.

Strategic Responsibilities

• Work directly with operations, IT, and support functions to analyze and develop best-in-class fulfillment practices covering tools, systems, materials, and people assets.
• Serve as an operations subject matter expert for WMS, order fulfillment, conveyance, and timekeeping systems, and work directly with IT to configure, test, and integrate WMS, ERP, and MRP systems.
• Participate actively in strategic projects by serving as the primary focal point for production data mining and data analysis.
• Design and lead complex experiments with multiple variables, gather data, perform root cause analysis, and recommend corrective actions.
• Perform process and capacity analysis by documenting product, resource, and information flow in current operations using tools such as value stream maps, process flow diagrams, and time and motion studies.
• Develop, justify, and implement process improvements, technological upgrades, automation, and redesigns of existing processes, equipment, and layout.
• Apply QDM, Lean, and Six Sigma methodologies and practices to achieve operational excellence.

Position Requirements

• Bachelor's degree or equivalent, with one to four years of relevant experience; instead of a degree.
• High school diploma or GED with four to six years of relevant experience.
• Experience with data mining and report generation using relational database applications such as MS SQL Server, MySQL, and Oracle, and BI tools such as Spotfire, Tableau, and MS Power BI.
• Experience developing and testing workflows within a WMS environment.
• Technical familiarity with logistics and e-commerce order fulfillment center operations.
• Strong analytical skills and understanding of problem-solving tools and methods.
• Attention to detail with a strong sense of responsibility to ensure data is accurate and presents a clear message.
• Strong communication skills suitable for engaging with senior management, cross-functional teams, and direct labor staff.
• Self-starting, inquisitive disposition with the initiative to investigate, identify the root cause of problems, and initiate corrective action.

Reporting to senior management, the Business Intelligence Analyst owns the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards while writing ETL jobs and developing detailed data mapping and end-to-end process flows that drive key business decisions. Partnering with data analytics, data warehouse teams, and business partners, this role translates strategic business questions into resource and data requirements and collaborates across functions to optimize KPI reporting structures and table architecture.

Leadership Responsibilities

• Collaborate with senior management to understand business intelligence needs and translate strategic business questions into resource and data requirements.
• Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards to drive key business decisions.
• Take dashboard requirements and translate them into rapidly developed prototypes and working solutions.
• Write ETL jobs to calculate business metrics.
• Develop detailed data mapping and end-to-end process flows.
• Collaborate with data analytics and data warehouse teams around data and table structures to optimize for KPI reporting.
• Manage relationships, deliverables, and expectations with business partners both independently and as part of a team.

Minimum Qualifications

• Bachelor's degree in Computer Science, Mathematics, Statistics, Finance, or equivalent work experience.
• Degree in Computer Science, IT, Math, Physics, Statistics, Engineering, or a quantitative field.
• Three or more years of relevant work experience in analytics, data engineering, or business intelligence.
• Five or more years of experience using Looker and in data visualization.
• Expert-level proficiency in data extraction using SQL, including Postgres, MySQL, Redshift, and Snowflake.
• Experience with AWS technologies, including Redshift, RDS, S3, and EMR.
• Experience using, writing, and optimizing SQL queries in a business environment.
• Experience in business intelligence software such as Tableau, Looker, QlikView, and MicroStrategy, and ETL software.
• Knowledge of data warehouse technical architecture, infrastructure components, ETL, and reporting and analytics tools.
• Strong analytical, problem-solving, and critical thinking skills paired with intellectual curiosity and aptitude for picking up new technical skills.

The Business Intelligence Analyst applies advanced analytics to large datasets to explain and predict field technician behavior, designing and tracking key performance indicators and analytical models that drive field operations strategy and productivity. The field services and analytics teams rely on this work to build leadership partnerships, prepare upper management for strategy discussions, and implement web analytics tools that enable coaching and optimize service delivery.

Role Responsibilities

• Apply advanced analytics skills to large data sets to explain and predict field technician behavior using predictive modeling, text mining, optimization, segmentation, and other data mining techniques.
• Design, track, and interpret key performance indicators, databases, and analytical models driving field operations strategy and productivity.
• Recommend and establish action plans based on indicators and models to mitigate risks and optimize field performance.
• Analyze complex cross-functional business processes and identify opportunities to improve field services effectiveness through process and systems enhancements.
• Develop and implement web analytics tools to enable coaching and drive productivity and service.
• Prepare upper management for strategy discussions by developing reporting packages that provide high-level strategic views of business performance.
• Build partnerships with leadership teams in field services.

Professional Experience

• Bachelor's or master's degree in Business Analytics, Mathematics, Economics, Engineering, Computer Science, or a quantitative discipline.
• Minimum two to three years of experience in an analytics role.
• Experience with database systems such as SQL Server, Teradata, and Oracle.
• Experience with Big Data environments such as Hadoop, Spark, and Kafka.
• Experience with web programming languages such as C++, C#, and Java.
• Experience in machine learning methods and their implementation.
• Knowledge of, and preferably experience with, visualization tools, predictive analytics, text analytics, and other data mining or Big Data tools and techniques.
• Strong working knowledge of PowerPoint, with the ability to build clear presentations for an executive audience.
• Proficiency in Excel, SAS, and SQL.
• Skills in Python and Dash to develop algorithms and web-based dashboards.
• Proficiency in statistics and demonstrated application of a wide range of analytical techniques to solve a variety of business problems.

Business Intelligence Analyst develops a data strategy, manages KPIs and funnel metrics, and builds and maintains dashboards in Looker and DOMO to drive optimal business performance across finance, operations, marketing, and growth teams. The work directly supports cross-functional data accuracy, equips engineering and business teams with the tools to measure company performance, and trains stakeholders on how to leverage data tools and assess the validity of their conclusions.

What You'll Do

• Collaborate with business partners to drive data strategy, managing KPIs and funnel metrics with associated reporting.
• Write queries and code to extract relevant data from various platforms.
• Build out and maintain dashboards in collaboration with other analysts, ensuring they are up to date, accurate, and fair representations of product performance.
• Automate and streamline existing analytics processes to maximize efficiency.
• Prepare analysis and presentations for senior management and investors as needed.
• Ensure that data is accurate and consistent throughout the organization.
• Train teams on how to leverage data tools and assess whether their conclusions are valid.
• Work with engineering teams to track events critical to measuring company performance.

Technical Qualifications

• Degree in Data Science, Economics, Statistics, Engineering, or a related quantitative field.
• One to three years of experience in data, finance, marketing, engineering, or business operations and insights.
• Experience working with large and complex datasets, including cross-functional inputs.
• Proficiency in complex SQL queries and Excel functions.
• BI tool experience in Looker and DOMO preferred.
• Strong understanding of data and tech stacks such as Fivetran, BigQuery, and SQL.
• Proficiency in quantitative research using R or Python is a plus.
• Strong visual organization, attention to detail, and a no-task-too-small approach.
• Clear and consistent written and verbal communication skills.
• Desire to use data creatively to drive and measure results.

Embedded within the BI and data engineering team at Stadium Goods, the Business Intelligence Analyst participates in the planning, design, and implementation of BI data marts and schemas while creating robust reports, dashboards, and data validation plans for Finance, Operations, Marketing, Inventory, and Product teams. Working closely with data engineering and business leaders across the company, this role refines data infrastructure, implements best practices for data integrity and exception-handling, and acts as a thought partner shaping data strategy for the entire business.

Day-to-Day Responsibilities

• Participate in the planning, design, and implementation of BI data marts and schemas to ensure they are synchronized, complete, and accurate to meet internal reporting needs.
• Work with members of the BI and data engineering teams to build a modern data infrastructure.
• Create robust, visually appealing reports and dashboards, and assist end users with ad-hoc query development and analysis.
• Develop and execute data validation and test plans for BI system implementations.
• Implement best practices for data integrity, data quality, and exception-handling processes.
• Act as a thought partner to leaders across the business in helping shape data strategy.

Qualifications & Experience

• Bachelor's degree in Computer Science, Mathematics, Economics, Finance, or a related field.
• Three or more years of experience as an analyst, BI developer, or in a similar role.
• Demonstrable experience with Tableau, Looker, or a similar BI solution.
• Experience with data modeling or data transformation, highly preferred.
• Knowledge of best practices around SDLC, Git, and dashboard development.
• High proficiency in SQL, including window functions.
• Solid analytical, mathematical, and research skills.
• Excellent communication, interpersonal, and attention-to-detail skills.

Reporting to the analytics leadership team at Maravai LifeSciences, the Business Intelligence Analyst designs and develops data visualizations and dashboards in Tableau, manages Snowflake data warehouse updates, and supports the annual corporate budget process and periodic financial forecasts through data collection and targeted financial reporting. Partnering with business users and cross-departmental teams, this role scrubs data, resolves data issues, and provides Tableau training to ensure all levels of the organization gain a clear understanding of business performance and can sustain continued growth.

Core Responsibilities

• Work with business users to understand and gather reporting requirements.
• Design and develop data visualizations and dashboards using Tableau.
• Perform periodic dashboard enhancements, bug fixes, and performance tuning.
• Manage Tableau permissions, row-level security, and extract refreshes.
• Design, develop, test, and release data warehouse updates in Snowflake to meet Tableau dashboard requirements, including adding fields to existing views, developing new views, and adding new data sources.
• Scrub data and collaborate with various departments to resolve data issues.
• Provide training to Tableau end users.
• Assist in data collection for the annual corporate budget process and periodic financial forecast updates.
• Support financial ad-hoc reporting needs.

Education & Experience

• Bachelor's degree or higher in Computer Science, Software Engineering, Finance, or a related field.
• Minimum of three years of data visualization tool experience; Tableau strongly preferred.
• Experience with data warehousing applications; Snowflake preferred.
• Finance or accounting background strongly desired.
• Experience using SQL for data warehousing development in an agile environment.
• Knowledge of Snowflake Tasks and Streams.
• Detail-oriented, with advanced analytical and technical skills.
• Strong interpersonal skills and ability to communicate clearly and concisely with all levels of the organization.
• Ability to multi-task and work under pressure to meet deadlines.

The Business Intelligence Analyst develops and reviews key performance indicators, creates models and dashboards in Tableau, and builds new reporting structures and templates that support data acquisition for new games and live operations. The gaming and finance teams rely on this work to receive ad-hoc sales analysis, daily sales settlement support, and strategic and tactical business recommendations grounded in data interpretation and trends.

Areas of Ownership

• Utilize business expertise to develop and review key performance indicators and metrics for live games and operations.
• Provide hands-on implementation and subject-matter expertise around reporting data.
• Support the finance team with ad-hoc sales analysis, daily sales settlement, audit requests, and revenue recognition data processing.
• Generate ad-hoc reports and share findings with stakeholders.
• Analyze data and make strategic and tactical business recommendations based on data interpretation and trends.
• Create models, tables, and dashboards within Tableau to visually represent data.
• Determine the full context of inquiries to provide the best answers for stakeholders.
• Build new reporting structures and templates for data acquisition of new games.
• Provide input to the ETL group for maintaining consistent and accurate data.

Professional Experience

• Bachelor's degree in Statistics, Applied Mathematics, Economics, or Computer Science.
• Four or more years of experience in data analytics and business intelligence.
• Mastery of complex SQL queries and Excel.
• Strong database modeling skills.
• Experience with ETL tools.
• Basic proficiency in C# and Java, with some understanding of Python.
• Comfort working with big data and excellent data visualization skills.
• Ability to present to executives and senior leadership.
• Ability to partner with stakeholders and determine the full intent and scope of requests.
• Excellent verbal and written communication skills.

Business Intelligence Analyst crafts custom data models, designs and deploys data sets, and creates visualizations and reports to support BI project implementations while using Microsoft Power BI as the primary reporting platform. The work directly supports non-technical users through training and enables the broader organization to monitor model performance, analyze data accurately, and make decisions grounded in well-structured, validated business intelligence.

Duties

• Translate business needs into technical specifications.
• Design and develop custom data models.
• Develop and execute queries and conduct analysis.
• Design, build, deploy, and support data sets.
• Create visualizations and reports for requested projects.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
• Conduct training with non-technical users.

Requirements

• Bachelor's degree or equivalent work experience.
• One or more years of experience with data analytics and business analysis.
• One to two years of experience with Power BI.
• Advanced knowledge of MS Excel, including formulas, pivot tables, and visualizations.
• Willingness to learn MSSQL, including querying data, navigating relational databases, and creating automated jobs.
• Ability to analyze data across factors and time periods and identify and report trends and patterns.