BI ANALYST JOB DESCRIPTION

A BI Analyst turns raw product and behavioral data into decisions. Most analysts can produce a report; this role owns the question upstream — determining which metrics actually reflect product health, where the freemium-to-paid conversion funnel breaks down, and what usage patterns predict churn before it registers in revenue. That upstream ownership places the BI Analyst between the data warehouse and the product roadmap, where the answers to OKR conversations are built. Effective work here requires translating ambiguous stakeholder hypotheses into testable queries and communicating findings to audiences with no SQL fluency.

You will own the analytics function that connects product usage signals to go-to-market outcomes, serving as the BI Analyst who defines what data the business trusts and acts on. Working within a cross-functional team that includes product managers, data engineers, and growth stakeholders, you report findings that inform both the product roadmap and the sales pipeline.

Career Impact: Deep experience modeling product-qualified lead thresholds and user journey milestones builds quantitative fluency that is increasingly rare and valued at the senior analyst and analytics lead levels.

Business Impact: The dashboards and metrics this analyst owns directly inform which product features get prioritized and which segments the go-to-market team pursues in the next quarter.

Growth Opportunity: Exposure to data engineering workflows, ETL design, and data modeling through dbt positions analysts for progression into Analytics Engineering or Senior BI roles with expanded technical scope.

• Own the product analytics function, covering freemium conversion metrics and product-qualified lead thresholds to support pipeline development.
• Define and maintain data feeds across sales, product, and financial systems to ensure consistent and trustworthy reporting inputs.
• Design and deliver dashboards and self-service reporting products that give product and growth teams direct access to usage insights.
• Analyze customer behavioral data to identify patterns in engagement, retention, and conversion across user personas.
• Partner with product leadership to translate roadmap questions into measurable hypotheses and validate them through structured data analysis.
• Monitor data integrity across reporting outputs, investigate anomalies, and implement controls that protect the accuracy of downstream decisions.
• Collaborate with data engineering teams to contribute to data model design, dimensional modeling standards, and warehouse structure improvements.
• Communicate findings and methodology to non-technical stakeholders in product, sales, and executive audiences.

• Bachelor's degree in Data Science, Business Analytics, Computer Science, Statistics, or equivalent work experience.
• 3 or more years of business intelligence or analytics experience, with demonstrated ownership of product or growth reporting in a SaaS or digital product environment.
• Proficiency in SQL for ad hoc analysis and structured data modeling, including query optimization and working with large relational datasets.
• Experience mapping user journeys through a digital product and identifying the behavioral milestones that signal conversion or churn risk.
• Proven ability to build dashboards and reporting products that non-technical stakeholders use independently for decision-making.
• Strong understanding of data warehouse concepts including dimensional modeling, ETL pipeline logic, and data governance fundamentals.
• Demonstrated ability to translate ambiguous business questions from product managers or growth leads into defined data requirements and testable metrics.
• Clear verbal and written communication skills, including the ability to explain statistical findings to audiences without a quantitative background.

• Experience scoring product usage data to develop and refine product-qualified lead thresholds in a B2B SaaS or freemium product model.
• Familiarity with data transformation and modeling workflows, including working within version-controlled SQL transformation frameworks.
• Background in financial modeling, forecasting, or cohort analysis that supports B2C retention and revenue growth reporting.
• Experience mentoring junior analysts or establishing team standards for documentation, code quality, and dashboard design.

• Dashboard adoption rate among product and growth stakeholders, reflecting how consistently analysts self-serve reporting.
• Product-qualified lead accuracy, measured as the percentage of PQL-flagged accounts that convert within the target sales window.
• Data model test coverage rate, indicating how thoroughly transformation logic is validated before reaching reporting layers.
• Mean time to insight for ad hoc requests from product and GTM stakeholders, tracked against an agreed service baseline.
• OKR metric coverage, measured as the proportion of active company OKRs that have a corresponding owned dashboard or report.
• Typical tools: SQL Query and Transformation (commonly dbt or equivalent), BI and visualization (commonly Tableau, Looker, or Power BI), cloud data warehouse (commonly Redshift, Snowflake, or BigQuery)

• Base Salary Range: $95,000 to $130,000 annually, depending on seniority and location.
• Bonus: 5% to 10% annual performance bonus, varies by company stage.
• Equity: Stock options or RSUs common at growth-stage SaaS companies.
• Health Benefits: Medical, dental, and vision coverage; employer contribution rates vary.
• PTO: 15 to 20 days annually, with some companies offering unlimited PTO.
• Common Perks: Home office stipend, learning and development budget, and conference attendance support.

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

Employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, genetic information, veteran status, or any other characteristic protected under applicable federal, state, or local law. Candidates requiring a reasonable accommodation to participate in the application or interview process may submit a request at any time. Final offers are contingent on successful completion of a background check. All applicants must be authorized to work in the United States.

The BI Analyst owns the product analysis function, balancing organic and freemium growth strategies with product-qualified lead generation for the sales pipeline, working in partnership with Product, Sales/GTM, and Engineering teams. Delivering actionable go-to-market insights through tools such as Tableau, Mixpanel, and AWS Redshift, this analyst shapes data infrastructure and analytic vision to drive revenue outcomes and improve user experience.

Key Responsibilities

• Own the product analysis function with a key focus on helping to strike a balance between driving organic/freemium growth and product-qualified leads for sales pipeline.
• Partner with Product, Sales/GTM, and Engineering to establish the data and analytic vision, infrastructure, and execution.
• Collaborate with Product and Growth to provide informed, data-driven insights to deliver revenue and improve user experience.
• Identify and establish data feeds across sales, product, and financial systems.
• Evaluate and implement visualization/reporting tools.
• Drive company strategy and initiatives through business intelligence.
• Identify actionable insights from data that can help achieve OKRs.
• Ensure and improve data integrity, accuracy, and quality.
• Maintain knowledge on the latest technology and industry best practices.

Required Qualifications

• At least 6 years of experience in data and analytics, analytics, data engineering, or data science.
• Strong experience analyzing product-led-growth initiatives and insights, including using product usage data to improve products and deliver actionable go-to-market insights.
• Experience with product usage scoring and developing thresholds for product-qualified leads.
• Demonstrated understanding of mapping out the user journey through the product, with a focus on identifying key milestones.
• Very solid SQL experience from ad-hoc queries to data modeling.
• Proficiency in Tableau, Segment, Mixpanel, AWS Redshift, dbt, PopSQL/Hex, Salesforce, and Hightouch.
• Highly collaborative and comfortable executing in a cross-functional, matrixed team structure.
• Strong prioritization skills with a high level of independence at work.
• Ability to present complicated methodologies and results to a non-technical audience.

Embedded within a cross-functional data delivery team, the BI Analyst performs data discovery, profiling, and prototype validation to translate business needs into actionable data requirements across the full project lifecycle. Working closely with customer stakeholders, delivery management, and technical leads, this analyst helps design and deliver data products that address business needs across industries including Finance, Insurance, and Supply Chain.

Core Functions

• Perform data discovery, data assessment, and data profiling.
• Prototype business needs and validate prototypes with business stakeholders before sending to mass production using mockuping/prototyping/data visualization tools.
• Plan and execute elicitation/discovery activities to engage both business and IT stakeholders.
• Design and drive stakeholder workshops/interviews to define and prioritize their business needs.
• Translate business needs into requirements and work with the delivery team through the entire project lifecycle.
• Collaborate with customer stakeholders, delivery management, and technical leads in the design phase of data products.

Qualifications and Experience

• 2+ years of experience working in the data domain on data and analytical projects, including requirements gathering, presenting, estimating, and prioritizing.
• Experience in end-to-end data and analytics project delivery utilizing Agile and waterfall approaches.
• Industry expertise in Finance, Insurance, Oil and Gas, Supply Chain, or Marketing.
• Strong ability to translate business needs into data requirements, including proficiency in validating and visualizing data requirements.
• Proficiency in modern data visualization tools such as Tableau or Power BI.
• Experience working with data profiling and data discovery tools using industry best practices.
• Experience acting as Product Owner or Data Product Owner on analytical projects.
• Experience running on-site customer workshops and working with cloud platforms such as Azure, AWS, or GCP.
• Excellent communication skills with advanced or fluent English.

Reporting to supply chain leadership, the BI Analyst deep dives into SCM processes across markets to build insights that optimize operations spanning recipe development, ordering, stock management, production, and fulfillment. Partnering with operational teams and the data governance function, this analyst drives a data-driven culture and delivers dashboards and analytical tools that support continuous improvement across international markets including Japan.

Primary Duties

• Deep dive into SCM processes across markets, understand tools, data availability, and data lineage, and build insights to optimize operations.
• Develop key metrics and performance indicators to evaluate overall SCM operations including recipe development, menu planning, ordering, inbounding, stock management, production, and fulfillment.
• Perform exploratory data analysis to identify patterns, correlations, and insights that continuously improve operations.
• Extract and transform data to draw actionable insights for operational teams.
• Build dashboards to facilitate operational processes and decision making.
• Champion data-driven culture and work closely with the data governance team to ensure adherence to best practices and knowledge sharing.
• Create and improve SCM tech tools, including writing queries and code.

Skills and Qualifications

• 2+ years of experience in supply chain analytics, with production and fulfillment background preferred.
• Hands-on experience in business intelligence, data mining, predictive analytics, and statistical analyses.
• Strong analytical skills including the ability to summarize quantitative concepts into a digestible format.
• Very good knowledge of Microsoft Excel/VBA, SQL, and Python/R or other scripting languages.
• Tableau experience is a plus.
• Excellent stakeholder management skills with strong ability to communicate data insights using hard data and metrics.
• Working eligibility in Japan.

Sitting at the intersection of data governance and business analysis, the BI Analyst develops and maintains dashboards, competitive price research, and data governance policies to support executive and category-level decision making. Operating across product, customer, and market data, this analyst enables informed business decisions and drives data quality standards throughout the organization.

Duties

• Provide insight and complete competitive price research.
• Prepare, process, distribute, and retain reporting.
• Assist with product and market analysis.
• Coordinate and create materials to support periodic business and executive reviews.
• Develop and maintain data dashboards, reports, and other data visualizations.
• Research and compile data independently, document, and implement business solutions.
• Analyze customer and product information to identify opportunities across categories.
• Develop and maintain data governance policies, guidelines, standards, and procedures.
• Audit, monitor, and enforce data governance.

Background and Experience

• Bachelor's degree in Business or equivalent work experience.
• 2+ years of experience in Data, Business, or Product Analysis.
• Automotive industry experience, especially in the aftermarket, is an advantage.
• Advanced knowledge of Microsoft Excel and familiarity with other data analysis software.
• Proficiency in Power BI and SQL, along with experience with statistical analysis, spreadsheets, and data dashboards.
• Highly organized and detail-oriented with a passion for data accuracy and quality.
• Ability to communicate information clearly and concisely with project leadership, subject matter experts, and key stakeholders.
• Willingness to learn new software applications and interest in professional development.

A key member of Issuu's product organization, the BI Analyst consults on metrics development and builds trusted analytics products that bring data to the fingertips of decision makers, enabling product teams to monitor performance at scale. Collaborating across product management, customer success, and leadership, this analyst drives business growth through data storytelling and consistent metric standards.

What You'll Do

• Be a proactive business partner for the product management team to define metrics and bring data stories that drive business growth.
• Dig into data sets, listen to hypotheses, and share data stories that solve business problems.
• Build trusted analytics products that bring data to the fingertips of decision makers.
• Educate business users on how to effectively tell Issuu's story with data.
• Establish processes and standards that encourage trust with data and provide consistent metrics across the organization.
• Partner directly with product leadership on strategy and roadmap.
• Analyze customer behavior and identify customer success across personas.

Experience and Qualifications

• Bachelor's degree in Business Analytics, Data Science, or a related area.
• 3+ years of experience in an Analytics or BI role supporting product and customer behavior analysis.
• Proficiency in SQL, Python, or R, along with strong project management skills and the ability to handle multiple projects simultaneously.
• Experience with modern analytics tools such as Sisense, Looker, Tableau, or similar platforms.
• Knowledge of product business processes and data.
• Strong verbal and written communication skills with tight-knit collaboration skills and a results-driven mentality.
• Experience with design thinking concepts or other visualization concepts that drive storytelling.

Actionable partner insights depend on the BI Analyst, who maintains and improves the Data Studio analytics platform by building new reports and assessing data models for performance and best-practice conformance. Based within a cross-functional team of data scientists and partner managers, this analyst serves as the internal expert on dashboard development and data quality assurance.

Scope of Work

• Assess and improve existing data models, ensure they conform to best practices, and suggest improvements for maintainability and query performance.
• Work with product and partner management teams to design and build dashboards that address specific business needs.
• Serve as an expert resource that others in the organization can rely on when building dashboards and answering data questions.
• Collaborate with data scientists in running experiments, extracting actionable insights, testing hypotheses, and communicating findings effectively.
• Perform routine audit checks on data to ensure consistency and correctness.

Technical Qualifications

• 3-5 years of experience in a similar role.
• Strong understanding of relational data modeling with high proficiency in SQL.
• Experience working with an analytical database such as ClickHouse, Redshift, BigQuery, or Snowflake, with ClickHouse preferred.
• Experience working with BI solutions such as CubeJS, Looker, Qlik, Tableau, or Power BI.
• Good command of Python with an analytical mindset and strong problem-solving capabilities.
• Excellent verbal and written English communication skills with great attention to detail.

As the BI Analyst, this role creates standard and ad hoc SQL-based reports and analysis while providing data and insights to management, the controlling team, and cross-departmental stakeholders to support decision making. The broader organization relies on this work to maintain data warehouse integrity, support end-users, and build BI knowledge that enables a self-service reporting culture.

Job Functions

• Create standard, routine, and ad hoc reports and analysis.
• Write SQL scripts and automate reports.
• Provide precise and high-quality data and analysis to management, the controlling team, and other departments to support decision making.
• Review retrieved data and take corrective actions as required, including revision of analysis and output.
• Support data warehouse end-users.
• Provide professional support for junior Business Intelligence Specialists.
• Actively participate in the launch of new systems to optimize reporting and build BI knowledge within the organization.

Education and Experience

• College or university degree, preferably in Economics or IT.
• Expert-level knowledge of MS Office (Word and Excel) and OLAP tools.
• Database knowledge with SQL proficiency, preferably Teradata.
• Communication-level English skills.
• Flexibility in work and daily problem solving with outstanding communication skills and a service-oriented mindset.

The Senior BI Analyst leads, mentors, and grows a team of BI Analysts at Monese, delivering high-quality analysis and reports that support data-based decisions for business and product teams built on a modern Snowflake and Tableau stack. Working alongside data engineering, technology, product, and infosec teams, this analyst shapes data strategy and creates business cases tied directly to business performance and B2C growth initiatives.

Leadership Responsibilities

• Analyze complex business problems using data from internal and external sources.
• Apply expertise in quantitative analysis, modeling, data mining, and presentation of data to deliver actionable insights.
• Set and analyze metrics and goals that tie back to business performance and initiatives, and create business cases to support these opportunities.
• Build data sources, monitoring systems, interactive dashboards, and reports.
• Work with data engineering, technology, product, and infosec teams to share data-related roadmaps and help drive data strategy.
• Fix internal processes and identify issues and opportunities in datasets.
• Support team members with knowledge and information.

Required Qualifications

• Master's or Bachelor's degree in Business, a technical field, or equivalent.
• Minimum 4 years of relevant experience in business intelligence or analytics, with background in B2C preferred.
• Experience in financial modeling, forecasting, and dynamic inputs, with previous experience in Finance considered a benefit.
• Excellent knowledge of SQL and relational databases, with some experience in R or Python.
• Proficiency in spreadsheets with preferred expertise in Tableau, Looker, or similar BI platforms, and experience in Snowflake.
• Ability to translate ambiguous business requirements into analytical insights with strong attention to detail and creative thinking.
• Excellent communicator with fluent English skills and experience working in a BI team alongside other data-focused teams.

The Business Intelligence Analyst delivers ongoing metrics, dashboards, and ETL jobs that drive key business decisions at Venmo, collaborating with Senior Management to translate strategic business questions into data and resource requirements. Working across Data Analytics and Data Warehouse teams, this analyst owns Venmo's BI tool relationship and develops end-to-end process flows and data mapping to optimize KPI reporting outcomes.

Accountabilities

• 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 transfer them into rapidly developed prototypes and working solutions.
• Write Extract-Transform-Load (ETL) jobs to calculate business metrics.
• Own and manage Venmo's BI tool and relationship with the third-party provider.
• 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.

Qualifications and Experience

• Bachelor's degree in Computer Science, Mathematics, Statistics, Finance, or equivalent work experience.
• 3+ years of relevant work experience in analytics, data engineering, business intelligence, or a related field.
• Experience using, writing, and optimizing SQL queries in a business environment, with proficiency in Postgres, MySQL, Redshift, and Snowflake.
• Experience with AWS technologies including Redshift, RDS, S3, and EMR.
• Experience in business intelligence software such as Tableau, Looker, Qlikview, or MicroStrategy, and ETL software.
• Knowledge of data warehouse technical architecture, infrastructure components, ETL, and reporting and analytic tools.
• Strong analytical, problem-solving, and critical thinking skills with coding proficiency in Python.
• Strong communication and presentation skills necessary to build effective working relationships and positively influence decision making.

Embedded within Rakuten Europe Bank, a fully licensed credit institution in Luxembourg supervised by the Commission de Surveillance du Secteur Financier, the BI Analyst researches market trends and aggregates large volumes of business data to support the design of a decisional system built on a compliant data warehouse platform. Working closely with management across marketing, sales, risk, finance, and compliance, this analyst produces data visualizations and written reports that enable better financial and customer service decisions.

Key Deliverables

• Research and analyze market trends using the internet, news, business publications, and conferences.
• Work closely with management to determine which business information the company collects and which information would support better financial, customer service, and marketing decisions.
• Aggregate large volumes of business data to identify information discrepancies and specific reporting needs, considering business requirements, data relationships, and database technology limitations.
• Analyze and interpret data to identify patterns that accurately answer business questions.
• Create written reports and data visualizations in the form of charts and web dashboard applications for internal supervisors and external partners.

Professional Experience

• Bachelor's degree in Computer Science or a related field such as Systems Engineering, Information Systems Engineering, or IT Engineering.
• Minimum 1-2 years of experience working in IT or Telecommunications.
• Proven experience in data warehousing with strong ability to translate stakeholder requirements into technical specifications.
• Analytical skills combined with target-oriented thinking and high energy and creativity.
• Proficiency in English is mandatory, with good French skills highly advantageous.
• Functional experience in IT, business strategy, business analysis, or finance is highly desirable.

Reporting to business leadership, the BI Analyst models and optimizes reports by sourcing commercial data from Salesforce, Netsuite, and Power BI while maintaining data integrations with Boomie, Celigo, and API-connected platforms. Partnering with cross-functional teams, this analyst supports a generative team culture built on shared accountability and delivers data insights that improve business intelligence across the organization.

Role Responsibilities

• Understand business needs versus current reports in collaboration with business stakeholders.
• Model, query, and optimize reports.
• Source key commercial data from Salesforce, Netsuite, and PowerBI.
• Maintain the health of data integrations with Boomie and Celigo.
• Source and merge data from additional sources such as WebEx, Zoom, and others with an API.
• Help build a generative team culture with high cooperation, shared risks, encouraged bridging, and blame-free post-mortems.

Skills and Qualifications

• 2+ years of experience answering business intelligence questions.
• Experience with data warehousing and data modeling techniques.
• Experience with Power BI and commercial reporting from a variety of data sources.
• Knowledge of AWS, Redshift, and data lake techniques is a plus.
• Proficiency in creating and optimizing SQL queries.
• Aspirations toward data engineering and data science.

The BI Analyst builds multifactorial market and sales force reports in collaboration with the BI Manager, supporting incentive program calculations, business review processes, and KPI dashboard reporting across client areas. Operating across a cross-functional environment that includes marketing, sales, and Business Operations, this analyst contributes to innovation in SFE and Marketing Intelligence tools to enable informed, strategic decision making.

Areas of Ownership

• Partner with the business to understand business strategy, processes, and reporting needs.
• Understand and control information sources including distribution studies, agreements, social works, syndicated audits, targeting and segmentation, and internal financial reports.
• Develop analysis and reports of multifactorial information on the market, competition, productivity, and segmentation of the sales force.
• Assist in the development and analysis in collaboration with the BI Manager to support decision making across client areas.
• Calculate and support incentive programs processes.
• Support and organize business review processes and the definition of action plans for the sales force.
• Contribute to innovation in the Business Operations area by proposing improvements to SFE and Marketing Intelligence tools.
• Support and report KPIs dashboard.

Knowledge, Skills and Abilities

• Demonstrated business acumen with strong problem resolution skills and financial knowledge.
• Ability to handle sensitive information with confidentiality and demonstrated leadership qualities including guiding other employees.
• Strong self-organizational and prioritization skills with ability to manage multiple tasks and follow up on critical projects.
• Excellent communication, presentation, and negotiation skills with strong interpersonal skills.
• Ability to work across diverse stakeholders, handle opposing opinions, and operate in a cross-functional environment.
• Able to make environmental scans to identify future needs and solutions and find solutions without having the whole picture.

BI Analyst builds and owns dashboards and large-scale automated reporting processes that turn data from the central data warehouse and data lake into actionable insights for senior management across the globe. Success in the position means establishing scalable, efficient reporting that is equally understandable for technical and non-technical colleagues while proactively identifying new demands and improving current processes.

Day-to-Day Responsibilities

• Turn data into valuable insights and reports for senior management across the globe.
• Build and own dashboards that visualize performance against key performance indicators.
• Establish scalable, efficient, and automated processes for large-scale data analysis.
• Independently identify new demands and improve current processes proactively.
• Design and maintain dashboards and ad hoc reports in a way understandable for both technical and non-technical colleagues.
• Use the central data warehouse and data lake to generate actionable business insights that improve operations.

Minimum Qualifications

• Master's degree in Science or Engineering.
• Preferably has industry experience in eCommerce or classifieds business.
• Strong SQL knowledge including query optimization, and experience in Python, R, or similar data analysis packages.
• Proficiency in at least one reporting tool, preferably Tableau, QlikView, Microstrategy, or Periscope.
• Strong analytical and quantitative skills with oral and written communication skills and the ability to influence others.
• Result-driven, proactive, and determined with strong attention to detail.

The BI Analyst reviews, validates, and visualizes data to deliver executive reports for senior leadership while designing reporting applications and governance procedures that support strategic decision making across the organization. Collaborating with business users, developers, and the IT department, this analyst oversees data warehouse deployment and implements new data analysis methodologies that enable big data use cases.

Core Responsibilities

• Review, validate, analyze, and visualize data to provide executive reports for the senior leadership team.
• Understand business strategy and design reporting to provide actionable information that supports strategic decision making.
• Facilitate development of reporting solutions to meet the operational data needs of business areas across the organization.
• Develop policies and procedures for the collection and analysis of data.
• Gather requirements and design reporting applications.
• Work closely with business users and developers to create or discover new data procurement and processing programs.
• Cooperate with the IT department to deploy software and hardware upgrades that enable big data use cases.
• Monitor analytics and metrics results and implement new data analysis methodologies.

Education and Experience

• Bachelor's degree in a quantitative field such as Computer Science, Mathematics, Statistics, or Information Systems.
• At least 3 years of experience in data extraction and analysis using BI tools, and at least 3 years of experience in designing BI dashboards and reporting applications.
• Strong proficiency in data visualization, reporting, and the ability to manipulate large data sets and identify trends using BI tools.
• Proficiency in Microsoft Word, Excel, Visio, and PowerPoint.
• Strong problem-solving and analytical skills with strong communications skills for relating complex subject matter to senior management.

Sitting at the intersection of data insight and operational performance, the BI Analyst supports the entire business with reports, dashboards, and data products that translate customer, transactional, and behavioral data into key business deliverables across bingo and casino products. Operating across teams and stakeholder groups, this analyst maintains best-practice standards in coding, documentation, and analytics while enabling effective reporting and informed decision making.

Operational Focus

• Support the entire business with data and insights.
• Create and maintain reports and dashboards.
• Translate customer, transactional, and behavioral data into key insights and business deliverables.
• Present findings to key stakeholders and provide context and input to drive performance across bingo and casino products.
• Collaborate with team members and stakeholders to build data products that enable effective reporting and inform decision making.
• Work with key stakeholders to develop key metrics to measure business performance.
• Maintain best-practice standards within the team regarding coding, documentation, and analytics.

Experience and Qualifications

• Excellent SQL knowledge is a must, with experience in a previous data or analytics role.
• Proven track record of dealing with big data.
• Experience in data visualization tools, ideally Power BI.
• iGaming knowledge is highly advantageous.
• Sound analytical and methodical reasoning skills with excellent business and industry awareness.
• Effective communication and presentation skills at all levels with strong attention to detail.

A key member of the reporting function, the Power BI Analyst develops new standard reports, manages daily data refreshes in line with the monthly reporting cycle, and delivers technical training to support a self-service BI environment. Collaborating with business stakeholders across FBS including SLT, Finance Business Partners, and Central Management Accounts, this analyst ensures accuracy and availability of Power BI, SQL Server, and Azure reporting components.

Technical Responsibilities

• Develop new and updated standard reports, and develop changes to existing reports in accordance with agreed requirements using an agile development process and through engagement with business stakeholders.
• Refresh multiple data sets daily in accordance with the month-end reporting cycle, ensuring load failures are rectified as a priority and stakeholders are informed of any issues.
• Capture, validate, and assess business requirements submitted by teams to determine if and how they can be incorporated into standard Power BI reports, including determining development effort and supporting prioritisation.
• Develop one-off ad hoc reports and undertake data discovery to support responses to business queries using Power BI and the SQL Server data hub.
• Investigate, analyze, and fix defects or issues in the automated reporting platform, making improvements to automated reporting processes where required.
• Test and assure changes to the automated reporting platform including Power BI, SQL Server, and Azure components.
• Provide technical training on the automated reporting platform to team members and support the transfer of new reports into a BAU process.

Position Requirements

• Demonstrable experience designing and implementing business intelligence tools in complex environments within a mixed delivery team.
• Experience maintaining and managing data integrity within a reporting environment.
• Demonstrable experience working with a wide range of stakeholders to design and develop changes to existing digital reports and new digital reports.
• Experience in using data to build confidence in business decision making.
• Experience training and coaching others to develop and improve Business Intelligence development skills.
• Track record of managing relationships with multiple stakeholders with skills to influence relationships for positive outcomes.

The BI Analyst produces functioning BI prototypes and end-user dashboards that support hospital sales and product management, delivering research findings and recommendations that increase revenue, reduce costs, and enhance customer satisfaction. Working in coordination with IT staff, data science colleagues, and program managers, this analyst advances data integration modernization and self-service utilization across the healthcare analytics platform.

Key Responsibilities

• Collaborate with stakeholders and subject matter experts to create new and enhance existing business intelligence assets.
• Deliver functioning BI prototypes by leveraging data sourced from business applications, enterprise data warehouse, and business intelligence platforms to clarify business needs and evaluate feasibility of technical solutions.
• Develop and deliver end user dashboards with effective visualizations that quickly convey actionable information tailored to stakeholder needs.
• Conduct deeper analyses to identify areas for improving decision support and operational effectiveness, and evaluate data to deliver research findings and recommendations for increasing revenue, reducing costs, and enhancing customer satisfaction.
• Maintain existing BI assets as business needs and technical infrastructure evolve, often in coordination with IT staff.
• Serve as a key data resource for insights and visualizations related to hospital sales and product management, fulfilling ad hoc information requests.
• Assist with data integration efforts related to the modernization and automation of run-and-maintain reporting to increase self-service utilization and maximize data-driven insights.
• Collaborate with data science colleagues to help evaluate opportunities to incorporate machine learning into analytics and data visualization products.

Qualifications and Experience

• Bachelor's degree or equivalent experience or certification in Data Analytics, Marketing, Finance, Business, or a relevant field.
• Minimum 5 years of related experience or equivalent combination of education and related experience.
• Strong database and analytic skills with an emphasis on Teradata, MS SQL, dimensional modeling, and data warehouse concepts.
• Familiarity with marketing processes including project management, market segmentation, targeting, and pricing.
• Proficiency in Microsoft Power BI and MS Excel with understanding of data visualization and dashboard design concepts and best practices.
• Aptitude for basic statistical analysis including frequency distribution and variance analysis, with familiarity in Python or R as a plus.
• Knowledge of SAP Business Objects is desirable.

Reporting to the DM team, the BI Analyst refines reporting and dashboard solutions across KPI performance, sales operations, forecast accuracy, and geospatial analysis while advising on analytics and technology roadmaps. Partnering with Sales Field stakeholders and analytics team members, this analyst manages data integration workflows and implements data quality processes that strengthen the accuracy and reliability of consumable datasets.

Core Functions

• Serve as an advisor to the DM team by providing input in the definition of analytics and technology roadmaps.
• Develop well-organized, insightful reports, dashboards, and other data visualizations to support strategic, tactical, and operational business decisions, adhering to UX best practices and design standards.
• Provide analysis in areas such as KPI performance against targets and goals, sales operations, forecast accuracy, segmentation, resource allocation, store compliance, merchandising, geospatial, and customer service.
• Partner with Sales Field stakeholders to collect, document, and analyze business requirements, translating them into tangible reporting and system deliverables with clearly defined acceptance criteria.
• Identify data sources that support reporting requirements and manage integration workflows to source, transform, and load data into consumable datasets.
• Implement data quality processes to ensure the integrity and accuracy of data sources and reports by leveraging automation and monitoring capabilities to proactively identify anomalies.
• Assist analytics team members and business stakeholders with ad hoc and self-service reporting capabilities.
• Provide training and support to end users to facilitate change management and drive adoption of report and dashboard solutions through cross-functional collaboration.

Skills and Qualifications

• Bachelor's degree, preferably in a quantitative discipline such as Computer Science, Information Systems, Mathematics, Statistics, or a related field.
• 2+ years of experience with a focus on data analytics, including independent problem solving and effective communication with peers and stakeholders at all levels.
• Functional experience in the CPG industry or Distributor Business is a plus.
• Strong knowledge of Microsoft Power Platform including Power Apps, Power Automate, Power BI, Power Query, and Report Builder.
• Proven experience with data management tools such as Microsoft Data Flow/Factory, Alteryx, or SSIS, and experience using SQL to query and transform data from relational data sources.
• End-to-end understanding of the data flow process of analytical solutions from ingestion to consumption layer.
• Knowledge of R, Python, UX design best practices, and Azure Data Lake is a plus.
• Experience creating detailed process documentation and implementing data quality solutions.

The BI Analyst supports the Reporting and Analytics Team in producing data outputs and trend analysis across all areas of the business, collaborating with internal customers to provide reporting solutions that deliver value-adding insight. The work directly supports effective decision making by developing, testing, and deploying accurate reporting solutions in an Agile squad environment while driving efficiency improvements in self-serve reporting adoption.

Accountabilities

• Develop, test, and deploy timely and accurate reporting solutions in line with agreed business and management requirements.
• Select and apply non-standard business intelligence tools and techniques to provide insights and aid decision making, including selecting, acquiring, and integrating data for analysis.
• Support users with the adoption of self-serve reporting solutions and drive efficiency improvements in self-serve reporting.
• Ensure integrity of underlying data within reporting solutions by performing testing and implementing appropriate controls to ensure data accuracy and quality.
• Work in an Agile way with squad members to understand data requirements and drive the best solutions to meet needs.

Required Qualifications

• Proficient with Power BI and experienced in defining, building, and implementing high-quality dashboards and reports.
• Experience in using a variety of querying languages and datasets to obtain data and perform analytics.
• Passionate about data and insights with the ability to tell a clear story using good visualizations from complex data.
• Strong planning and organizational skills with the ability to work to deadlines in an Agile development environment.
• Naturally inquisitive with a data-driven approach, adaptable and resourceful, with the ability to establish and maintain collaborative relationships.

The BI Analyst creates and issues market sales reports, authors CRM reporting in Power BI, and produces performance-versus-target analysis for sales force incentive plans within a pharmaceutical commercial excellence function. Working closely with sales teams and business units across international markets, this analyst maintains data warehouse integrity and drives continuous reporting improvement using sources such as GERS, Xponent, and IMS/IQVIA.

Activities

Author and issue market sales reports as required.

• Collate data from heterogeneous sources such as GERS, Xponent, and Cognos, and aggregate into various systems and databases.
• Maintain the integrity and consistency of the data warehouse, including data cleansing where necessary.
• Own the process of producing sales data for incentive plans, including setting and sense-checking sales force targets and measuring and tracking sales force performance.
• Produce performance versus target reports and analysis of customer trends and CRM system outputs.
• Support new product launches and identify and investigate data discrepancies.
• Develop new CRM reporting using Power BI and ensure data quality of the database.
• Identify and implement methods of delivering new reporting as part of continuous improvement efforts.

Minimum Qualifications

• University degree (Master 2 type) or equivalent education, with experience in commercial excellence, SFE, or business analytics.
• Knowledge of pharmaceutical data sources such as GERS, Xponent, and IMS/IQVIA.
• Advanced Excel skills and proficiency in other MS Software systems including Word and PowerPoint, along with experience in Power BI and tridimensional databases.
• Strong analytical skills with the ability to provide business insight, question own data, and critique own conclusions.
• Business partnering experience with excellent communication skills and the ability to clearly relate complex and technical ideas to colleagues of all technical abilities.
• Fluent English in written and spoken form is mandatory for frequent interaction with international stakeholders.

Embedded within HelloFresh's Global BI team, the BI Analyst elevates the definition and implementation of revenue and profit contribution key metrics by collaborating with Data Engineers and Data Product Managers across the full reporting landscape. Working closely with Associate Directors and the Director of Global BI, this analyst mentors team members, leads adoption of analytical best practices, and proactively recommends data initiatives aligned to company value drivers.

Strategic Responsibilities

• Analyze, challenge, and improve the definition of revenue and profit contribution key metrics, collaborating with Data Engineers and Data Product Managers.
• Analyze business processes and their interaction with tools and data environments to derive correct transformations in data pipelines.
• Define, recommend, and drive the execution of initiatives to improve data quality.
• Develop new and improve existing dashboards, along with proactive analyses for stakeholders.
• Understand company value drivers and proactively recommend data initiatives to support business priorities.
• Lead by example in team-wide adoption of analytical and technical best practices, and mentor and coach Business Intelligence Analysts on the team.
• Collaborate closely with Associate Directors and the Director of Global BI.

Requirements

• Extensive professional experience in business intelligence or a similar role in a fast-paced environment.
• Proficiency in SQL and at least one data visualization tool, with Tableau preferred.
• Strong understanding of data structures and data warehousing concepts with experience working on technical topics and interacting with data engineers.
• Strong analytical skills including the ability to summarize quantitative concepts into a digestible format.
• Ability to communicate clearly, listen, and show empathy as a foundation for effective collaboration.
• Team player who recognizes peers' achievements and thrives in an international and geographically dispersed team.

As the BI Analyst, this role designs and delivers reports, analyses, and Power BI-based reporting standards for Yorkshire Housing, becoming a subject matter expert on corporate systems and the data they hold. The broader organization relies on this work to drive a positive data culture, explore new technologies such as data lakes and predictive analytics, and equip stakeholders at all levels with the skills to engage with data effectively.

Work Activities

• Support the delivery of key data and performance services including the performance framework and associated reporting.
• Work with stakeholders across the organization to gather business requirements, advising on best practice and approach to report design.
• Design and deliver reports and analysis, becoming a subject matter expert on corporate systems, their processes, and the data they hold.
• Work closely with BI Developers to develop efficient and effective reporting solutions and come up with new ways of working.
• Provide training for stakeholders and help drive a positive data culture across the organization.
• Help explore new technologies around data including data lakes, data warehouses, and predictive analytics.
• Act as an organizational expert on the development of reporting techniques and standards using Microsoft Power BI.

Qualifications and Experience

• Some experience of manipulating data in a relevant data analysis tool such as Microsoft Excel, including pivot tables and look-up formulae.
• Experience using software for the visualization and presentation of data analysis such as Microsoft Excel data visualizations, Power BI, or Tableau.
• Passion for data and a desire to help drive a data-enabled culture.
• Ability to debunk jargon and bring data to life for the wider business.
• Willingness to approach people at all levels with patience and attention to detail.

The BI Analyst manages stakeholders and data products for the letting, mortgages, and conveyancing business functions, aggregating data from multiple sources to design and build data models that improve self-serve access and automated reporting. Working with internal and external stakeholders and integrating ERP platforms with APIs across multiple ecosystems, this analyst delivers actionable insights that support performance improvement and informed decision making.

Key Responsibilities

• Manage stakeholders and data products for the letting, mortgages, and conveyancing business functions.
• Aggregate data from multiple sources to improve automated reporting, analytics, and operational reporting.
• Design and build data models to improve self-serve and data access for multiple user types.
• Build systems and processes to transform raw data into actionable insights.
• Develop and maintain reports and dashboards for several stakeholder types.
• Share findings with internal and external stakeholders through presentations, video conferencing demonstrations, and written reports.
• Learn how to integrate ERP platforms with APIs across multiple ecosystems.

Experience and Qualifications

• Experience delivering BI and MI reporting solutions within an Analyst, Architect, or Developer domain with a passion for product management.
• Strong stakeholder engagement across multiple business functions providing a wide range of information products and services.
• In-depth understanding of database design, management, and governance including SQL and Python.
• Experience with Azure Data Factory, Databricks, Synapse, Analysis Services, and SQL Server (at least 2 of these).
• Appreciation of architectural frameworks such as TOGAF and Zachman, along with experience of both on-premises and cloud BI deployments.
• Excellent mathematical and analytical skills with understanding of performance and process analysis methods such as SWOT, PESTLE, APQC's PCF, and enterprise analysis.
• Power BI preferred as visualization tool but not essential.

BI Analyst produces captivating interactive dashboards and visualizations that integrate JLL's proprietary research data, bringing real estate content and market narratives to life for internal stakeholders and business development purposes. The work directly supports the Americas Research Group by contributing to the BI center of excellence and developing best practice standards shared across BI colleagues.

Day-to-Day Responsibilities

• Create captivating visualizations integrating proprietary research data for the purposes of market research and business development.
• Produce interactive dashboards and analyses that bring research content and real estate data to life.
• Understand data and underlying trends and use that information to help craft narratives about the market.
• Assist on projects from initial debrief to finished product with significant self-direction and limited oversight.
• Respond to internal stakeholder requests for data and information.
• Contribute to the BI center of excellence and provide support to BI colleagues as needed.
• Develop and share best practice standards with the Americas Research Group.

Required Qualifications

• BS/BA in Data and Analytics, Information Design, Urban Planning, Economics, Business Administration, or a related degree, or equivalent relevant experience.
• 0-3 years of related BI experience, with real estate knowledge a plus.
• Comfort with data visualization applications and programming languages, with Tableau preferred.
• Strong written and oral communication skills with the ability to work independently and collaboratively.
• Ability to comfortably assimilate complex concepts, effectively manage workload and time, multi-task, and succeed under pressure.

The Finance BI Analyst crafts the bridge between financial and data teams at Flutter Group, translating finance requirements into queries and scripts while overseeing daily revenue reconciliation for load into accounting software. Working with a broad range of stakeholders across the sportsbook, casino, and fantasy sport business to ensure consistency of definitions and reporting throughout the Flutter Group, this analyst maintains BI dashboards and provides input into data warehouse modeling.

Key Responsibilities

• Provide a bridge between financial and data teams, translating finance requirements into queries and scripts.
• Oversee the process of reconciliation of daily revenue data for load into accounting software.
• Develop and maintain reports and dashboards.
• Navigate the structure of key data warehouse tables and schemas and provide input into data modeling.
• Build and maintain liaison and relationships with data teams.
• Work closely with a broad range of stakeholders to ensure that disparate requirements are fully understood and implemented.
• Support consistency of definitions and reporting throughout the Flutter Group.

Qualifications and Experience

• Strong educational background with knowledge and experience writing SQL.
• Knowledge and exposure to Python, with hands-on experience with BI tools and Tableau as a bonus.
• An understanding of key financial principles with an interest in sportsbook, casino, and fantasy sport products.
• Professional and positive approach combined with good time management, organizational, and multi-tasking skills.
• Inquisitive nature with a willingness to learn, a proactive approach to work, and the capacity to identify improvements in process and assist management in implementation.
• Flexible and comfortable in a frequently changing and fast-paced environment.

A Business Intelligence Analyst is responsible for managing data and analysis within Eaton, working on the development and implementation of BI tools and analytics while communicating between upper management and the IT department. Working closely with senior executives and team members to develop business intelligence solutions, collect data, and oversee data warehouse deployment, this analyst enables the organization to determine its needs and act on data-driven insights.

Core Functions

• Develop and manage business intelligence solutions for the organization.
• Collaborate with team members to collect data and execute the company's mission.
• Develop data collection processes and review and validate data.
• Oversee the deployment of data to the data warehouse and monitor analytics and metrics results.
• Communicate insights to senior management and across the organization.

Education and Experience

• Bachelor's degree preferred in Finance, Accounting, Economics, or Statistics.
• 3 years of relevant experience.
• EU working permit required.
• Knowledge of data warehouse, data modeling, data mining, Hadoop, and SQL.
• Proficiency in Power BI, Tableau, and Microsoft Office including Excel.
• Strong interpersonal skills including written and oral communication skills, and experience working with and presenting to senior executives.
• Ability to streamline functions, deal with ambiguity, and work independently with a passion to learn and grow.

Embedded within a financial services analytics team, the BI Analyst uses data visualizations to create clear, compelling data stories and develops efficient, automated reporting processes that make key insights routinely available to partners across multiple data sources. Working closely with a wide range of partners to define and scope BI requirements, this analyst drives high standards for impactful and accurate analysis using tools including Tableau, SAS, Python, and SQL.

Primary Duties

• Use data visualizations to create clear, compelling stories with data.
• Collaborate closely with stakeholders to understand requirements and develop dashboards that can inform decision making.
• Develop efficient, automated processes that free up time for value analysis.
• Bring new data and analysis into regular production, making key insights routinely available to partners.
• Drive high standards across the team for impactful and accurate analysis.

Background and Experience

• Bachelor's degree in Business, Mathematics, Computer Science, Analytics, or an equivalent quantitative field.
• Previous experience working in Analytics or Business Intelligence.
• Strong data visualization and dashboard building skills, ideally with experience in Tableau.
• Experience building efficient, automated processes across a variety of different data sources, along with SQL experience.
• Experience working with SAS, Python, or R is desirable.
• Experience in financial services and marketing teams is desirable.
• Ability to work with a wide range of partners to define and scope BI requirements.

Reporting to the Analytics Engineering team, the BI Analyst gathers requirements from senior stakeholders and designs, develops, and maintains bespoke Tableau dashboards while modeling data using dbt to reflect commercial metrics. The analytics function relies on this work to mentor junior analysts on best data practices, support the ETL function, and automate the delivery of Tableau reports to stakeholders across the organization.

Scope of Work

• Gather requirements from senior stakeholders.
• Work closely with the Analytics Engineering team to model data using dbt to reflect commercial metrics.
• Support the ETL function.
• Design, develop, and maintain bespoke Tableau dashboards.
• Educate end-users on how to engage with data products.
• Automate the delivery of Tableau reports to stakeholders.
• Mentor junior Analysts on best data practices.

Qualifications and Experience

• A STEM or analytics degree.
• Strong data modeling experience with proficiency in dbt or SQL.
• Experience with Tableau, Looker, or Power BI.
• Experience with Redshift, Snowflake, or BigQuery.
• Strong communication skills with experience managing stakeholders.