BUSINESS INSIGHTS ANALYST JOB DESCRIPTION

Discover what employers expect from Business Insights Analysts through curated job descriptions spanning experience levels and industries.

Business Insights Analyst Job Description Template

1. About the Role

A Business Insights Analyst in a SaaS organization converts product usage logs, subscription event streams, and customer journey telemetry into decisions that revenue, product, and operations teams can act on before the next sprint closes. This is not a reporting maintenance role; the work involves designing the analytical frameworks that make self-service intelligence possible across a cloud-native data environment. Ownership runs from query to recommendation.

2. Position Summary

As the Business Insights Analyst, you translate complex datasets drawn from SaaS platforms, CRM pipelines, and cloud data warehouses into prioritized, evidence-based recommendations that shape product and commercial strategy. You operate within a centralized analytics function, partnering directly with product, customer success, and finance stakeholders to define KPIs, build scalable reporting infrastructure, and surface insights that inform quarterly planning and growth decisions.

3. Why Join Us

Career Impact: Deep ownership of KPI definition and self-service dashboard architecture in a SaaS environment builds the kind of analytical credibility that opens paths to senior analyst, analytics lead, or data science roles.

Business Impact: The conversion funnel metrics, subscription retention signals, and usage-pattern analyses you produce directly inform decisions about where the product roadmap and go-to-market investment should be directed next quarter.

Growth Opportunity: Exposure to AI/ML model integration, cloud-native data platforms, and cross-functional OKR design accelerates your market value toward analytics engineering and strategic analytics leadership.

4. Key Responsibilities

  • Design and own self-service reporting infrastructure, including dashboards and scorecards, that business stakeholders can use without analyst involvement.
  • Analyze subscription retention, conversion funnel, and usage trend data to produce prioritized, actionable recommendations for product and commercial teams.
  • Build and maintain SQL-based data models against cloud data warehouse sources to support recurring and ad hoc analytical requests.
  • Partner with product, customer success, and finance teams to define, validate, and evolve KPIs aligned to company OKRs each planning cycle.
  • Develop automated monitoring and alerting systems that flag anomalous trends in customer behavior or operational performance metrics in near real time.
  • Conduct statistical and exploratory analysis on large, multi-dimensional datasets to identify growth drivers and diagnose performance variances.
  • Collaborate with data engineering and data science teams on data model design, pipeline reliability, and AI/ML model integration into analytical workflows.
  • Document data definitions, analytical methodology, and reporting logic to ensure consistency and auditability across the analytics function.

5. Required Qualifications

  • Bachelor's degree in Statistics, Computer Science, Mathematics, Economics, or a related quantitative field, or equivalent work experience.
  • 3 or more years of business analytics experience, with demonstrated delivery of insight products in a SaaS or technology company environment.
  • Expert proficiency in SQL for querying, joining, and modeling data across relational and cloud-based data warehouses.
  • Proficiency in at least one programming language for data analysis, such as Python or R, applied to data cleaning, statistical analysis, or automation.
  • Demonstrated experience building dashboards and visual reporting products using BI tools, translated to stakeholder-facing formats.
  • Strong analytical communication skills, with a track record of presenting data-driven recommendations to non-technical business partners.
  • Experience designing or contributing to KPI frameworks and OKR tracking processes in a cross-functional environment.
  • Proven ability to manage multiple concurrent analytical projects with competing deadlines and shifting stakeholder priorities.

6. Preferred Qualifications

  • Experience working with cloud data platforms such as AWS Redshift, Snowflake, Databricks, or equivalent, including familiarity with distributed query patterns.
  • Exposure to AI/ML model outputs within an analytics workflow, consuming model scores, interpreting feature importance, or evaluating model performance for business stakeholders.
  • Background in customer experience analytics, including CX scorecard development, top-driver analysis, or policy-level impact measurement within a platform business.
  • AWS certification or equivalent cloud analytics credential that demonstrates hands-on platform proficiency beyond SQL querying.

7. Success Metrics & Environment

  • Dashboard adoption rate, measuring the percentage of target stakeholders actively using self-service reports weekly.
  • Query-to-insight turnaround time in days, reflecting efficiency of the analytical request pipeline for recurring business questions.
  • KPI coverage ratio, tracking the proportion of active OKRs that have a defined, instrumented metric in the reporting environment.
  • Anomaly detection response time in hours, measuring how quickly automated alerts surface to the relevant business team after a signal fires.
  • Retention analysis accuracy, measured by variance between modeled churn predictions and actual cohort outcomes over a rolling 90-day window.
  • Typical tools: SQL query and warehouse environments (commonly Snowflake or Redshift); visualization platforms (commonly Tableau or Power BI); scripting (commonly Python).

8. Compensation & Benefits (US Market Benchmark)

  • Base Salary Range: $85,000 to $120,000 annually, depending on seniority and market
  • Bonus: Annual performance bonus, typically 8 to 12% of base salary
  • Equity: RSU grants common at growth-stage and public SaaS companies
  • Health Benefits: Medical, dental, and vision coverage for employee and dependents
  • PTO: 15 to 20 days annually, with many SaaS employers offering unlimited PTO
  • Common Perks: Remote or hybrid flexibility, learning and development stipend, home office allowance


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

9. EEO & Legal

Background check completion is required as a condition of employment for all positions. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other characteristic protected under applicable federal, state, or local law. Reasonable accommodations are available to applicants and employees with disabilities upon request. Candidates must be authorized to work in the United States.

Business Insights Analyst Job Description Examples

1. Business Insights Analyst (Craft Beer Sales)

The Business Insights Analyst owns weekly and monthly reporting of sales performance, distribution gaps, and revenue trends across the craft beer market, leading the development of data resources that support forecasting and distributor product order processes. Sitting within the sales organization and reporting to Avery Sales Leadership, the Business Insights Analyst informs annual business plans and budget development, enabling the executive team and chain sales teams to act on market and competitive intelligence.


Key Responsibilities

  • Research and evaluate economic, competitor, market, industry, and customer growth trends and conditions.
  • Align distributor and retailer decision trees with data systems and ensure data reporting accuracy.
  • Develop and lead communication of weekly and monthly customized reporting of sales performance, on- and off-premise trends, new item placements, lost placements, market comparisons, comparative brand analysis, and revenue growth.
  • Analyze sales data with chain sales teams to evaluate class of trade, chain customer performance, distribution gaps, and business opportunities.
  • Analyze actual performance results vs. monthly and annual sales objectives and sales forecasts.
  • Participate in monthly and weekly business meetings to inform leadership teams on trends and opportunities from market and business analysis.
  • Provide market insights that inform development of annual business plans.
  • Assist the sales team in creating annual and quarterly business plan presentations.
  • Support development of annual budgets for local market investment and lead tracking of spending plans for tier-1 distributors.
  • Lead the development of data resources that inform the sales team on sales performance and support forecasting and distributor product order processes.
  • Lead creation of quarterly new item and seasonal information bundles that inform the sales team and distributors on priority brand launches and programming.
  • Create distributor inventory reports and share insights with sales team members.
  • Review sales performance for rate-of-sale and distribution trends that impact inventory, ordering direction, and reduction of both out-of-stocks and potential overstocks.


Required Qualifications

  • Bachelor's degree in business management, finance, or sales and marketing.
  • 3+ years of business analysis and sales analysis experience.
  • Experience with third-party market data systems, including VIP and syndicated data platforms.
  • Strong knowledge of spreadsheet, database, and presentation software.
  • Advanced problem-solving and analytical skills.
  • Superior oral and written communication skills.
  • High level of organization and attention to detail.
  • Strong work ethic and willingness to take initiative.
  • Excellent time management skills.
  • Strong understanding of the craft beer category and competitive landscape in assigned territory.

2. Business Insights Analyst (Sales & Marketing Analytics)

Embedded within the Sales and Marketing department, the Business Insights Analyst delivers recurring and ad hoc reporting, dashboards, and scorecards that enable data-driven decision-making across the sales organization. Working closely with IT, Finance, and senior leadership, the Business Insights Analyst maintains data process accuracy, develops sales performance methodologies, and presents insights to executive and board-level audiences.


Core Functions

  • Identify sales status by comparing and analyzing actual results with plans and forecasts.
  • Maintain the database by entering, verifying, and backing up data.
  • Create executive-level visualizations, including dashboards, graphs, and charts, that enable management to improve decision-making speed and accuracy.
  • Manage the analysis of sales performance trends, create methodologies to accurately forecast short- and long-term sales performance, and support senior management in sales planning and target-setting processes.
  • Ensure various systems are integrated and that data is accurate.
  • Develop and make regular recommendations on how to improve metrics and sales KPIs.
  • Regularly present key sales reports to senior leadership and executive teams, including the development of materials for the board of directors.
  • Partner with financial planning and analysis teams on sales reporting and analytics.


Qualifications & Experience

  • Bachelor's degree required.
  • 5+ years of experience in an analytical role.
  • Experience managing and executing data reporting using tools such as Tableau and Microsoft SQL Server.
  • Experience supporting a sales organization preferred.
  • Experience navigating CRM and salesforce automation tools preferred.
  • Advanced knowledge of Excel, including pivot tables, graphs, and financial modeling.
  • Strong interpersonal skills and demonstrated ability to work across a complex organization, maintaining strong relationships at multiple levels.
  • Strong analytical skills, with comfort analyzing and interpreting data across different dimensions, views, and groupings.
  • Experience establishing sales best practices and processes for rapid-growth-stage companies.

3. Business Insights Analyst (Remote Data & Strategy)

Reporting to senior leadership, the Business Insights Analyst shapes data-driven strategy for a high-growth organization by leveraging advanced analytical tools to interpret trends from disparate data sources and translate them into actionable recommendations. Partnering with business leaders, team members, and internal clients, the Business Insights Analyst standardizes reporting processes and leads metric improvement initiatives that align high-visibility analysis with current and future business goals.


Primary Duties

  • Leverage data to understand global business by using advanced analytical tools to interpret data, identify trends, and translate analyses into recommendations.
  • Create presentations, graphs, and dashboards to display findings and results using Excel, Tableau, and PowerPoint.
  • Proactively monitor the business and report key insights.
  • Build relationships and collaborate with team members, business leaders, and internal clients to help solve organizational challenges.
  • Develop and maintain accurate tracking, capturing, and reporting of key data and business metrics.
  • Identify appropriate datasets to support analytics, including conducting data extraction.
  • Consult with management to understand current and future business goals and strategies, and ensure that high-visibility reporting and analysis is aligned.
  • Lead or support data analytics and metric improvement initiatives, and facilitate business-facing efforts to standardize data reporting.
  • Create structure around providing data and insights, apply project management skills, and develop and adhere to deadlines.


Skills & Qualifications

  • Bachelor's degree in a quantitative field preferred.
  • 2+ years of experience in a similar role within a high-growth environment preferred.
  • Demonstrated internal consulting, client management, and project management skills.
  • Experience working with and manipulating data from businesses, including checking for data issues, cleaning, and merging.
  • Outstanding oral and written communication and presentation skills, particularly around data visualizations and summarizing results.
  • Impeccable attention to detail and accuracy.
  • Strong interpersonal skills, with the ability to work independently and within a team environment.
  • Advanced Excel skills and working knowledge of Tableau.
  • MS SQL and/or Access knowledge preferred.

4. Business Insights Analyst (Enterprise Data Platform)

Sitting at the intersection of data engineering and business strategy, the Business Insights Analyst builds SQL-based business models, creates forecasts, and delivers actionable insights that support data-driven decisions across product, finance, and operations teams at Pure Storage. Operating across product, engineering, and cross-functional business groups, the Business Insights Analyst documents and improves existing data processes while ensuring integrity and consistency across large-scale datasets.


Duties

  • Help product, finance, and operations teams make data-driven decisions by defining metrics and finding actionable insights through reports and dashboards.
  • Troubleshoot data issues and build customized reports to investigate key business questions.
  • Analyze large datasets and build SQL queries to create business models.
  • Document current data processes and provide recommendations to improve processes.
  • Use data modeling techniques to create forecasts, projections, and improvements to existing models.
  • Provide reporting and analysis for ad hoc projects.
  • Work cross-functionally to validate and review data discrepancies and ensure data integrity and consistency.
  • Develop new ideas for process improvement.


Requirements

  • Bachelor's degree in an analytical field, such as computer science, mathematics, statistics, or finance.
  • 3+ years of relevant experience.
  • Experience with SQL.
  • Experience with Tableau preferred, or Power BI.
  • Experience with Python preferred, or R; any additional programming language is a plus.

5. Business Insights Analyst (BI Tools & Advanced Analytics)

A key member of the internal data and analytics team, the Business Insights Analyst leads the development of self-service reporting environments and deploys advanced statistical and machine learning techniques to deliver business insights within a high-growth technology company. Collaborating across data engineering and data science teams to design and maintain data models and AI/ML infrastructure, the Business Insights Analyst owns the analytical environment and drives adoption of next-generation reporting capabilities.


Functions

  • Create, develop, and own internal reporting and analytical environment.
  • Collaborate with the internal data engineering team on the design, development, and maintenance of data models.
  • Lead the development and provision of reporting through the deployment of self-service reports and dashboards.
  • Lead the development and provision of advanced analysis through the use of classical statistical and machine-driven techniques.
  • Maintain thorough knowledge of existing and emerging open-source and proprietary reporting and advanced analysis tools.


Experience & Qualifications

  • Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or a related field.
  • Significant experience in a senior leadership role in finance, operations, business development, or related fields.
  • 5+ years of work experience as a data analyst with associated modeling and analytics experience.
  • Expert working knowledge of SQL and R to perform data querying, build data models, and conduct data analysis.
  • Exceptional visualization skills using Tableau, QlikView, or other relevant visualization tools.
  • Good working knowledge of Python and Java to create applications and programs.
  • Good understanding of different types of databases and their relevant use cases.
  • Experience conducting data mining studies and employing machine learning.
  • Experience working within a high-growth technology company is highly beneficial.

6. Business Insights Analyst (Media Advertising Analytics)

Delivering accurate financial and operational intelligence to sales and executive leadership depends on the Business Insights Analyst, who leads the design and implementation of a comprehensive analytics platform integrating data across billing, traffic, and advertising systems for the New York Interconnect. Based within a strategic partnership spanning Altice USA, Charter Communications, and Comcast, the Business Insights Analyst coordinates with accounting, billing, and sales teams to automate reporting and develop next-generation impressions pacing tools.


Accountabilities

  • Lead data analyst for the planned design, implementation, and ongoing management of a comprehensive business analytics platform.
  • Integrate data attributes across various billing and traffic systems and expand to additional platforms.
  • Design the architecture of the business analytics platform and lead the development of next-generation impressions pacing tools.
  • Design and implement daily financial and operational reporting dashboards for executive and sales leadership teams.
  • Coordinate with accounting and billing teams to streamline and automate monthly financial reporting.
  • Provide regular support to sales teams related to sales reporting, dashboards, and trend analytics.
  • Map and trace data from various source systems to solve a given business problem.
  • Create customized reporting as requested.
  • Manage assigned projects and additional duties as required.


Technical Qualifications

  • Associate's degree required, bachelor's degree preferred.
  • Minimum 3–5 years of sales systems or related experience.
  • Advanced Excel and SQL knowledge and understanding of computer programming.
  • Ability to process large datasets using tools such as SAS, SQL, R, or Python to analyze and create insights.
  • Advanced proficiency in Microsoft Word, Excel, and PowerPoint.
  • Familiarity with related systems such as Salesforce, Eclipse, and others.
  • Excellent project management and communication skills.
  • Strong analytical problem-solving skills and the ability to break down problems and analyze large datasets.
  • Ability to communicate with all levels of the business, prioritize and manage assignments to meet deadlines, and establish solid relationships.
  • Understanding of media and media sales preferred.

7. Business Insights Analyst (Biopharmaceutical Technology)

As the Business Insights Analyst, this role leads technical health improvement initiatives and develops data-driven communications that bridge international business sites, technology leaders, and the data science team at AbbVie. The global technology and operations organization relies on this work to ensure cross-functional stakeholders receive tailored, customer-centric insights that advance data standards and support innovation across four primary therapeutic areas.


Activities

  • Develop strong relationships with key stakeholders from international sites, including technology and business leaders.
  • Collaborate with business partners and technology leaders to identify and prioritize opportunities for improving technical health.
  • Lead technical health improvement initiatives and enhancements.
  • Partner closely with the data science team to develop and share data-driven communications, standards, and deliverables.
  • Effectively organize and present data insights, tailoring the format to match the audience.
  • Create and manage technical health deliverables and documentation.
  • Influence others in a cross-functional environment with a customer-centric and global perspective.


Position Requirements

  • Bachelor's degree in information systems, computer science, or data analytics.
  • 3+ years of experience, or a master's degree or equivalent education.
  • Excellent interpersonal skills and well-developed verbal and written communication skills.
  • Ability to effectively lead and facilitate meetings with customers and technical team members.
  • Ability to quickly learn and adapt to business processes while incorporating innovative solutions.
  • Deliverables-focused and detail-oriented.
  • Exceptional teamwork skills with a strong customer focus.

8. Business Insights Analyst (Customer Experience & Policy)

Business Insights Analyst builds data pipelines, dashboards, and CX scorecards that surface policy friction points and drive experiential improvements for host and guest communities across customer segments and the policy production lifecycle. Success in the position means developing data views that influence OKRs and KPIs across business verticals while reporting to the Head of CX Insights in Trust Policy and Programs and partnering with engineers, product managers, designers, and operations agents.


Operational Focus

  • Use a combination of data engineering, data science, and analytics skills to build business insights around the greater experience with policies.
  • Build data views and perform investigations that increase understanding.
  • Improve policy positions, including surfacing top areas of policy friction.
  • Conduct deep analysis into various experiential areas across customer segments, the customer journey, and the policy production lifecycle.
  • Influence data-driven decisions across business verticals through regular business reviews, dashboards, planning scorecards, targeted analysis, and operational improvement backlogs.
  • Contribute to improvements across key customer journeys about critical policies that directly impact the experience of the greater community.


Knowledge Skills & Abilities

  • 5+ years of experience in business analytics with an emphasis on operations scalability and optimization, and on developing business-facing metrics and solving future business decisions.
  • Expert skills in SQL and expert in at least one programming language for data analysis, such as Python or R.
  • Experience with survey and analytics tools such as Medallia, Nexidia, Clarabridge, Qualtrics, Tableau, and Power BI.
  • Background in JIRA desired.
  • Demonstrated ability to create and drive data views and analysis for the business and help teams execute against them.
  • Proven ability to tailor data solutions to business problems for cross-functional teams, with the ability to communicate clearly and effectively on solution versions and features.
  • Strong time management and prioritization capabilities with absolute ability to maintain confidentiality and objectivity.
  • Experience working on customer experience data and insights-to-action.
  • Experience working within the product or policy development lifecycle within technology, regulations, or industry landscape.

9. Business Insights Analyst (Sr. Private Wealth Reporting)

The Business Insights Analyst produces complex Tableau dashboards, scorecards, and data extracts that evaluate performance and effectiveness across multiple business lines within a private wealth management environment. Reporting to the analytics leadership team and collaborating with business partners on annual planning cycles, the Business Insights Analyst advances reporting automation standards and maintains data integrity across enterprise-scale infrastructure including Hadoop, PySpark, and SQL platforms.


Key Deliverables

  • Serve as a primary subject matter expert for assigned reporting areas, including usage of reporting tools and techniques with expertise in all data platforms used within the assigned business area.
  • Provide specialized end-to-end reporting support, including dashboards, scorecards, data extracts, and analysis, for several business areas.
  • Create complex BI reporting packages and dashboards in Tableau utilizing enterprise data infrastructure and local data sources.
  • Lead efforts to develop, adopt, and evolve best-in-class reporting capabilities, including moving to a common look and feel for reporting packages and evolving report automation standards.
  • Review, analyze, and understand data and data sources to ensure all business requirements are met and that reporting is comprehensive, efficient, and accurate.
  • Initiate and own the work effort to review and validate the quality and integrity of reporting processes and data included in reporting packages, following established department processes.
  • Lead efforts to improve reporting processes within the assigned area with respect to efficiency, accuracy, and timeliness.
  • Lead discussions with business partners on behalf of the reporting team around next-year planning and execute changes to scorecards and dashboards to allow the business to track additional metrics as required.
  • Maintain and regularly review documentation for assigned processes, and participate in cross-training to support the team's succession planning.
  • Comply with all compliance and audit requirements with respect to process documentation and best practices.
  • Continuously enhance knowledge and expertise in the assigned area, grow knowledge of the private wealth business, and keep current on emerging trends, reporting tools, platforms, and technologies.
  • Act as a leader in contributing to the team in both technical and analytical aspects by sharing and adopting best practices.


Professional Experience

  • University or college education with a focus on data visualization, information management, statistics, engineering, or equivalent experience.
  • 5–7 years of relevant practical experience working in an analytical or reporting role with advanced tools such as Tableau, PySpark, SQL, and Hadoop.
  • Experience with wealth management businesses and various wealth applications is an asset.
  • Advanced Tableau development skills to design high-quality dashboards and performance scorecards.
  • Knowledge of one or more data-focused programming languages such as SAS, SQL, or Python/PySpark as applied to processing datasets.
  • Advanced skills in querying, joining, and summarizing datasets of various types.
  • Demonstrated ability to work with various data sources, including enterprise-scale data marts, Hadoop, and local files, and various data types to process, query, and join data effectively.
  • Strong analytically anchored problem-solving skills, with the ability to critically research and evaluate issues and find optimal solutions.
  • Highly organized and able to prioritize and handle a variety of tasks and responsibilities simultaneously and efficiently.

10. Business Insights Analyst (Data Harmonization & Master Data)

Embedded within the business intelligence function, the Business Insights Analyst develops agile analytics solutions for customer, supplier, and product harmonization, applying great statistical skills to translate high-level business objectives into detailed, actionable requirements. Working closely with IT specialists, business units, and end users at all levels, the Business Insights Analyst oversees the harmonization solutions roadmap and manages test plans and training to ensure data completeness and accuracy across the organization.


Areas of Ownership

  • Develop agile, targeted analytics solutions integrated with customer, supplier, and product harmonization.
  • Act as a key point of contact between business functions and IT for data analytics and harmonization solutions.
  • Work with users at all levels to analyze and translate business requirements into meaningful and actionable business insights solutions.
  • Identify business value, prioritize requirements according to expected business benefits, and distinguish between a user request and the underlying business-critical need.
  • Critically evaluate information gathered from multiple sources, reconcile conflicts, and evaluate and overcome data completeness and harmonization challenges.
  • Take direct responsibility for managing customer, supplier, product, and other harmonization, and manage the harmonization solutions roadmap.
  • Apply great statistical skills to data analysis and solution design, and assist all business intelligence teams to design and deliver statistically sound insights.
  • Translate high-level objectives into detailed requirements while staying focused on overall business goals.
  • Work with specialists to gain understanding of business data, what it tells, and how it is used.
  • Prepare and execute test plans, communications, and training for end users on new functionality.
  • Manage projects as assigned and apply solid root cause analysis skills to communicate findings to the business.


Education & Experience

  • Bachelor's degree in computer science, statistics, or a related field.
  • 2–5 years of related technical work experience with structured, unstructured, and semi-structured data.
  • Good knowledge of SQL, Python, and R, and other traditional database query skills, with PySpark as a nice-to-have.
  • Good knowledge of natural language processing and search platforms, with AI and graph database knowledge as a plus.
  • Good knowledge of data mapping and visualization using industry-standard business intelligence and data visualization tools, including Power BI and Tableau.
  • AWS knowledge, including Databricks and Redshift.
  • Several courses in statistics and basic experience with applying statistics to deliver business insights.
  • Strong interpersonal skills, with the ability to explain and champion technical concepts to a broad IT and business audience.
  • Excellent verbal and written communication skills and the ability to interact professionally with a diverse group of executives, managers, and subject matter experts.
  • Strong data and analytical skills, including a thorough understanding of how to interpret customer business needs and translate them into an application design.
  • Strong attention to detail and high precision.

11. Business Insights Analyst (Healthcare Analytics Lead)

Reporting to analytics leadership, the Business Insights Analyst refines performance reporting and financial modeling for enterprise-wide optimization initiatives, coaching and mentoring peers while serving as a data-focused thought partner for project teams, business partners, and executives. Partnering with cross-functional leadership to prioritize value optimization opportunities, the Business Insights Analyst designs tools to measure initiative performance, develops business cases with ROI forecasts, and delivers advanced visualizations tailored to varied organizational audiences.


Role Responsibilities

  • Identify, collect, clean, and analyze operational, financial, performance, and population data.
  • Interpret data analysis results and present clear insights in relation to business needs.
  • Perform statistical, predictive, variance, and financial modeling analyses.
  • Coordinate across the enterprise to identify relevant data sources and analytical outputs for performance optimization initiatives.
  • Conduct research, develop hypotheses and insights, identify opportunities, propose options, and define solutions to enhance member experience and address healthcare costs.
  • Offer data-driven suggestions and recommendations to support decision-making.
  • Serve as a data-focused thought partner for project teams, leadership, business partners, stakeholders, and executives.
  • Coach and mentor peers and junior team members.
  • Design processes and tools to measure and report on initiative performance, focusing on productivity, cost reduction, and member experience.
  • Collect data, coordinate with teams and stakeholders, and support the development of business cases with costs, benefits, and ROI forecasts.
  • Organize and present data through advanced visualization, dashboards, reports, and presentations tailored to various audiences.


Background & Experience

  • Bachelor's degree in Mathematics, Statistics, Engineering, Social, Physical, or Life Sciences, Management Science, Business Economics, or a related field.
  • Four years of experience in a directly related field.
  • Minimum six years of experience in a quantitative discipline or a directly related field.
  • Advanced proficiency in Excel, Tableau, and Power BI.
  • Basic SQL query skills.

12. Business Insights Analyst (Customer & Operations Analytics)

Sitting at the intersection of customer analytics and operational intelligence, the Business Insights Analyst leads analytics projects to understand customer and partner behavior, applying quantitative analysis and data visualization to derive real-time actionable insights that drive strategic decisions. Operating across Customer Success, Renewals, Professional Services, and related business functions within a cloud-based model, the Business Insights Analyst builds monitoring frameworks and cross-functional relationships that surface emerging trends and improve customer experience.


Job Functions

  • Lead analytics projects to better understand the customer base and partner community.
  • Derive actionable insights from real-time business dashboards to drive business decisions.
  • Improve operational excellence through proactive identification and execution of efficiency-creating initiatives.
  • Identify ways to build and deploy tools to improve workflows.
  • Apply expertise in quantitative analysis and data visualization to transform raw data into actionable insights and recommendations.
  • Alert relevant teams to real-time events impacting customer experience or business operations.
  • Create frameworks to monitor key business activities and contribute solutions to improve monitoring and alert systems.
  • Build cross-functional relationships and establish resources to solve complex interdisciplinary problems.
  • Proactively identify areas for deeper analysis and prepare recommendations for strategic decision-making.
  • Monitor the real-time pulse of the business, quickly identify emerging trends, and action anomalies found in day-to-day operations.


Minimum Qualifications

  • Bachelor's degree in an analytical field such as Mathematics, Computer Science, Statistics, or Business, or a related field.
  • A master's degree is a plus.
  • Three or more years of experience in business, strategy, analytics, or research, or equivalent.
  • Experience using data to drive business decisions, including structuring problems, analyzing data, and providing actionable recommendations through effective storytelling.
  • Exposure to enterprise business processes across Customer Success, Renewals, Professional Services, Usage Analytics, and Customer Support in a cloud-based business model.
  • Advanced SQL skills with the ability to perform effective querying involving multiple tables and subqueries.
  • Experience with Tableau and Power BI or similar analytical tools.
  • Advanced proficiency in Excel and PowerPoint.
  • Exceptional verbal and written communication skills with the ability to engage effectively at all organizational levels.
  • Experience with SAP HANA or Snowflake is a plus, and experience with R, SAS, or Python is a plus.

13. Business Insights Analyst (Supply Chain & Demand Analytics)

A key member of the decision science and analytics team, the Business Insights Analyst delivers coordinated BI reporting to stakeholders on a weekly, monthly, and quarterly basis, managing supply and demand forecasting across product categories and executing measurement plans that capture supply gaps and early risk signals. Collaborating across client and business teams to design and manage intelligence dashboards and respond to ad hoc data queries, the Business Insights Analyst translates complex datasets into recommendations that support supply chain and demand-planning strategy.


What You'll Do

  • Deliver insights to stakeholders through reports, dashboards, and presentations in conjunction with other decision scientists and managers.
  • Translate analysis and insights into actionable business recommendations for client and business teams.
  • Coordinate and deliver BI reporting to stakeholders on a weekly, monthly, and quarterly basis, including insight summaries and deep-dive investigation of findings.
  • Define, set up, and execute measurement plans capturing supply-and-demand measures, including supply gaps, early risk identification, and diagnostics.
  • Collect, aggregate, and quality-check large complex datasets to derive business intelligence.
  • Manage business rules that structure quantification of supply needs based on demand schemas and lead/lag time dimensions.
  • Create, track, and manage supply and demand across product categories using forecasting to determine supply shortages, demand needs, and future risks.
  • Design, integrate, and manage business intelligence dashboards and the supporting data.
  • Manipulate, query, and extract data from datasets to answer ad hoc client queries.


Required Qualifications

  • Post-secondary education in a quantitative discipline such as Mathematics, Statistics, Political Science, Economics, or Computer Science, or equivalent experience.
  • Four or more years of experience in a data and analytics insight role.
  • Experience within sourcing or supply chain analytics and detailed data analysis.
  • Experience with database languages and data query code, including SQL and Python.
  • Demonstrated experience using business intelligence software such as Tableau and Power BI.
  • Proficiency in Microsoft Excel, Word, and PowerPoint.
  • Experience developing, cleansing, manipulating, and transforming datasets.

14. Business Insights Analyst (Sr. Marketing & Portfolio Analytics)

Developing meaningful portfolio performance intelligence and influencing marketing excellence depends on the Business Insights Analyst, who leads business reporting, research, and analysis while developing strategic insights from analytical work presented to management and executives. Based within a marketing and portfolio team, the Business Insights Analyst uses Power BI, Tableau, and Qlik to identify predictive indicators of performance across the portfolio and measure the productivity of marketing activities.


Day-to-Day Responsibilities

  • Lead and conduct business reporting, reporting system and tool development and maintenance, research, and analysis for management and marketing teams.
  • Develop strategic insights from analytical work and present findings to management and executives to influence decision-making.
  • Analyze data to identify patterns and trends, generate insights, and provide recommendations to improve portfolio health.
  • Use data for process improvement, highlight portfolio delivery risks, and drive data-driven decision-making across the organization.
  • Work cross-functionally to identify and visualize predictive and leading indicators of performance across the portfolio.
  • Use data to help measure and improve marketing excellence and productivity.


Qualifications & Experience

  • Bachelor's degree in Data Analytics, Marketing, or Finance.
  • Three to five years of hands-on experience building reports using Power BI, Tableau, Qlik, or similar visualization tools, ideally with marketing, sales, or product data sources.
  • Five to seven years of experience in an analyst-related field such as marketing, sales, finance, or business.
  • Previous experience on a marketing team.
  • Advanced proficiency in Excel and the full MS suite with complex functions.
  • Strong understanding of the IT environment and technical tools used.
  • Aptitude to learn new technologies and analytical methodologies related to business intelligence and data analysis.
  • Demonstrated ability to meet deadlines while managing multiple projects.
  • Excellent communication and presentation skills with the ability to work across multiple peers and organizational levels.

15. Senior Business Insights Analyst (Performance Reporting & Coaching)

As the Senior Business Insights Analyst, this role advances end-to-end performance reporting by independently producing weekly and monthly visual dashboards, validating data quality, and designing data integration and visualization requirements for analytical projects across all supported business lines. The analytics team relies on this work to improve operational efficiencies, support evidence-based decision-making for business units and marketing partners, and maintain continuity through cross-training and succession planning.


Scope of Work

  • Work independently as the senior analyst and subject matter expert, coaching and educating others as needed.
  • Oversee and independently perform tasks from end to end, with focus on short-to-medium-term issues.
  • Produce weekly or monthly visual dashboards evaluating performance and effectiveness of tactics across all supported business lines.
  • Analyze trends and provide insights and recommendations to business stakeholders and decision-makers clearly and concisely.
  • Validate the quality and integrity of data in various systems and from external sources.
  • Work with business units and marketing partners to understand business drivers, definitions, and metrics to interpret findings and provide meaningful direction.
  • Gather, document, and design data integration and visualization requirements for analytical projects.
  • Contribute to process reviews and identify opportunities to improve operational efficiencies.


Skills & Qualifications

  • Undergraduate degree in information management, statistics, mathematics, science, or finance, or a related field.
  • Three or more years of relevant experience from an information management, statistical, mathematical, scientific, or financial background, or a graduate degree with one to three years of relevant experience.
  • Strong knowledge of programming languages including SAS, SQL, R, Visual Basic, and Python.
  • Proficient PC skills including strong competency in MS Excel and PowerPoint, and a variety of analytical and reporting software packages.
  • Strong analytical and problem-solving skills required to interpret data and draw conclusions.
  • Excellent written and verbal communication skills.

16. Business Insights Analyst Sr (Healthcare Initiative Sizing)

Business Insights Analyst Sr refines healthcare value optimization strategies by analyzing claims and operational data to size new initiatives, develop written business cases, and track the performance of launched programs against savings targets and operational KPIs. The work directly supports cross-functional leadership prioritization and stakeholder discussions within a healthcare payer organization, drawing on eight or more years of industry experience to synthesize complex analytic findings into compelling narratives.


Work Activities

  • Support ideation by pulling data to identify addressable spend associated with initiative concepts and hypotheses.
  • Size new initiatives by analyzing claims data and related operational data.
  • Create written business cases summarizing the results of each sizing analysis in alignment with audit processes and requirements.
  • Provide recommendations on the prioritization of value optimization initiatives and socialize findings with cross-functional leadership.
  • Track performance of launched initiatives, including development of reporting on initiative savings and operational KPIs.
  • Complete ad hoc analyses summarizing initiative impacts in preparation for stakeholder discussions.


Requirements

  • Bachelor's degree in Statistics, Mathematics, Analytics, Research, or a closely related field.
  • Master's degree or higher preferred.
  • Eight or more years of work experience in the healthcare industry.
  • Five or more years of healthcare analytics experience.
  • Broad knowledge of the healthcare payer value chain and medical cost levers.
  • Competency in SQL, databases, Python, SAS, and statistical analysis.
  • Ability to synthesize multiple parallel analytic and business insights into a cohesive and compelling narrative.
  • Ability to develop compelling documentation, frame insights and recommendations for a leadership audience, and scope and design a structured research and analysis approach.
  • Ability to frame complex business problems for structured analysis and cross-functionally manage and coordinate teams.

17. Business Insights Analyst (Commercial & Stakeholder Analytics)

The Senior Business Insights Analyst creates transactional-data-driven commercial insights and sales forecasts that support strategic planning and performance monitoring for senior business stakeholders. Working with IT, third-party vendors, marketing, and operational business units throughout the project lifecycle, the Senior Business Insights Analyst ensures evidence-based recommendations on market and business performance are delivered through ongoing reporting and data-driven advisory engagements.


Performance Expectations

  • Develop business and commercial insights using transactional datasets to inform decision-making by senior business stakeholders.
  • Lead stakeholder engagement throughout the project lifecycle, collaborating with marketing and operational business units to support evidence-based decision-making.
  • Develop, maintain, and communicate sales forecasts for strategic planning and performance monitoring.
  • Serve as the key advisor to senior stakeholders with data-driven recommendations on market and business performance.
  • Develop, maintain, and produce ongoing reporting on business performance metrics.
  • Provide data, analysis, and insights support to pricing and other business activities.
  • Work with IT and third-party vendors to obtain required data in support of business strategy.
  • Provide subject matter expertise on data and analytics for business stakeholders.


Experience & Qualifications

  • Bachelor's degree in Mathematics, Statistics, Computer Science, Finance, Data Analytics, or equivalent practical experience.
  • Demonstrated experience delivering business insights with commercial outcomes.
  • Demonstrated experience in analytics tools including SQL, Power BI, and Python to solve business problems.
  • Demonstrated experience developing and delivering reports and producing sales forecasts.
  • Consultative approach to problem-solving with the ability to understand stakeholder needs and deliver solutions.
  • Strong scenario planning skills with future-focused thinking.
  • Excellent communication and interpersonal skills with the ability to lead stakeholder engagements.

18. Business Insights Analyst (Insurance Data & Actuarial Analytics)

Embedded within a cross-departmental analytics function, the Business Insights Analyst conducts complex data extraction and discrepancy analysis across Hadoop, Oracle, and Excel sources, communicating findings in business language to colleagues in underwriting, actuarial, finance, product management, and IT. Working closely with technical and business teams, the Business Insights Analyst develops knowledge of data architecture layers and external data sources to support impact analysis and ensure data quality across residential and automobile insurance operations.


Core Responsibilities

  • Conduct complex analysis using company data to quantify errors and explain data discrepancies.
  • Extract and transform data from all sources, including Hadoop, Oracle, Excel, and text-based formats.
  • Communicate findings using common business language with colleagues across departments, including underwriting, actuarial, finance, product management, and IT.
  • Perform varied analyses and research to provide impact analysis on data discrepancies and gaps between different data sources.
  • Develop knowledge and understanding of table relationships within different layers of the data architecture and external data sources.


Technical Qualifications

  • Experience in data analysis, actuarial work, or the field of mathematics or statistics.
  • Experience using the Hadoop ecosystem.
  • Knowledge of programming using tools such as Hive, Impala, PySpark, and JupyterLab.
  • Excellent knowledge of SQL for data extraction.
  • Relevant knowledge of residential and automobile insurance is an asset.
  • Quick learner with an autonomous, responsible, analytical, and quality-conscious approach to work.
  • Strong team player with verbal and written communication skills in English; basic French or more is an asset.

19. Business Insights Analyst (FMCG Market & Category Intelligence)

Reporting to senior management, the Business Insights Analyst executes competitive intelligence activities and builds KPI trackers that quantify market drivers, category performance, and ROI across boost and stronghold categories within the FMCG, OTC, or retail industry. Partnering with internal stakeholders and global market intelligence teams, the Business Insights Analyst supports integrated category performance reporting and business forecasting by translating business questions into structured analytical plans.


Key Responsibilities

  • Support performance reporting to senior management and contribute to an integrated view of category performance using internal and external data sources.
  • Support the development of forecasting models and contribute to ongoing optimization.
  • Build KPI trackers on key brands in cooperation with internal stakeholders.
  • Develop competitive intelligence activities to analyze the performance of the portfolio in a competitive context.
  • Apply knowledge of advanced analytics to understand market drivers and dynamics and identify opportunities and growth targets.
  • Run business analytics to identify root causes of performance, evaluate ROI for boost and stronghold categories, and leverage ROI meta-learnings from global market intelligence teams.
  • Generate analytical insights and ongoing competitive scans to understand relative market performance and support recommendations and action plans.
  • Translate business questions and challenges into an analytical plan aimed at providing clarity and guiding decisions.
  • Support business forecasting by tracking and predicting external dynamics and working with analytical experts.


Position Requirements

  • Minimum two years of experience in data analytics.
  • Experience in the FMCG, OTC, or retail industry is a plus.
  • Advanced analytical and insights skillsets.
  • Beginner skillsets in data integration, data manipulation, and visualization.
  • Beginner skillsets in digital tools such as Google Analytics and social data.
  • Curious mindset, strong attention to detail, and ability to commit to deadlines under pressure.
  • Strong leadership ability with the capacity to influence key stakeholders and cross-functional partners.
  • Proven ability to anticipate changes in the environment and adapt thinking appropriately.

20. Business Insights Analyst (Gaming Industry Intelligence)

Sitting at the intersection of commercial strategy and data operations, the Business Insights Analyst develops and disseminates monthly, quarterly, and budget forecasts across key product areas while managing business master data and relationships with external data providers within a gaming industry context. Working closely with regional and global partners to ground business strategy in robust data, the Business Insights Analyst oversees analytics infrastructure in Power BI and ensures data and insight are foundational to project groups across the organization.


Core Functions

  • Relay important industry news to the wider team and provide insight on its impact on deliverables.
  • Create, maintain, and disseminate monthly, quarterly, and budget forecasts across key product areas.
  • Manage and evolve business master data to ensure data foundations remain current and adapt to evolving business needs, including management of external data providers.
  • Deliver quick ad hoc insight to support understanding of changing business trends.
  • Work with key partners to help craft business strategy direction, ensuring it is grounded in robust data.
  • Work across the business to ensure data and insight are the foundation of project groups and are easily accessible and understood.
  • Act as representative within the regional and global community to share and uncover best practices and insights.
  • Play a key role in the clear dissemination and articulation of key business performance trends and insights.


Knowledge Skills & Abilities

  • BSc or BA in Business, Economics, Science, or Mathematics preferred.
  • Five or more years of experience working as an analyst, data analyst, or in a related occupation.
  • Relevant industry experience is a bonus.
  • Experience with analytical and visualization tools including MicroStrategy, Tableau, Qlik Sense, and Power BI.
  • Strong Excel skills and the ability to manage and balance multiple tasks and projects with keen attention to detail.
  • Ability to articulate analysis effectively and challenge established thinking.
  • A passion for and keen interest in gaming.

21. Business Insights Analyst (Graduate, Statistical Modeling)

A key member of a fast-growing analytics team, the Business Insights Analyst Graduate guides the development of statistical models of customer behavior and builds a programmatic framework to scale analysis efforts and support worldwide expansion. Collaborating with engineers, data teams, and business stakeholders to produce consistent, replicable analysis across multiple data dimensions, the Business Insights Analyst contributes to an automated alert system and applies creative problem-solving to rapidly execute and report on ad hoc analytics requests.


Primary Duties

  • Analyze business, operational, and financial metrics including sales trends, conversion funnels, and customer sentiment.
  • Apply statistical techniques to develop models of customer behavior such as purchase preference, trial adoption, and subscription retention.
  • Produce consistent, reliable analysis replicable across various dimensions of data.
  • Contribute to the development of a programmatic framework to scale analysis efforts and support worldwide expansion.
  • Develop an automated alert system to surface emerging trends and anomalous data signals across various dimensions such as regions, vendors, and product class.


Professional Experience

  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
  • Programming experience required, with knowledge of R, Python, or SQL preferred.
  • Understanding of analytic and statistical methods with emphasis on implementation via programming language, including the ability to write clean code with supporting documentation.
  • Understanding of batch processing, script automation, and programmatic database connectivity.
  • Strong R (Tidyverse) programming skills preferred, with the ability to schedule jobs via Ubuntu OS or Databricks.
  • Experience using version control such as Git.
  • Strong written and oral communication skills, fluent in English.
  • Ability to use creative problem-solving techniques to quickly execute and report on ad hoc analytics requests.
  • Ability to work in new, fast-paced environments with a startup attitude and a passion for business innovation.

Editorial Process and Content Quality

This content is developed by the Lamwork Editorial Team using structured analysis of real-world job data, skill requirements, and hiring patterns.

Research framework by Lam Nguyen, Founder & Editorial Lead.

Reviewed by Thanh Huyen, Managing Editor.

Learn more about our editorial standards.