Top Data & Analytics Jobs

Leads enterprise business intelligence strategy, product roadmap, semantic modeling, governance, adoption, and delivery. Partners with Data Engineering, Data Governance, Data Science, AI Solutions, and IT to create scalable Power BI and Snowflake capabilities, including AI-assisted analytics. Manages and develops the BI team, prioritizes demand, measures business value, and guides technical design while supporting trusted decision-making across the organization.

Own the end-to-end BI lifecycle, building Microsoft Fabric semantic models, advanced DAX calculations, Power BI reports, and dashboards. Manage model performance, refreshes, workspace governance, permissions, row-level and object-level security, version control, and deployment across environments. Troubleshoot production issues, implement enhancements, and collaborate with analysts and IT engineering to maintain trusted reporting and a single source of truth.

Leads enterprise business intelligence strategy, product roadmap, semantic modeling, governance, delivery standards, and AI-enabled analytics. Partners with Data Engineering, Data Governance, Data Science, AI Solutions, IT, and business leaders to deliver trusted, scalable insights. Oversees BI adoption, performance, security, prioritization, and business value while leading, coaching, and developing the BI team and federated analytics contributors.

Analyzes data and reporting for online home energy assessment and marketplace platforms. Creates Power BI dashboards, monitors transactions and trends, evaluates recommendation logic, forecasts sales, supports marketing campaigns, maintains data quality and platform content, and leads UAT for system changes. Partners with program, marketing, and IT stakeholders, presents findings, documents data logic, and trains team members.

Analyzes internal and external sales, product, customer, promotional, pricing, and market data. Develops recurring reports, dashboards, scorecards, and business reporting packages for Sales, Marketing, Finance, and leadership. Identifies trends, risks, growth opportunities, and promotional ROI while supporting forecasting, budgeting, strategic planning, data quality, and automated reporting initiatives. Translates complex findings into actionable recommendations and presentation materials for stakeholders and customer meetings.

Analyze internal and external data to develop reports, dashboards, scorecards, and business insights for Sales, Marketing, Finance, and leadership. The role evaluates sales, pricing, promotions, categories, margins, profitability, and market performance; maintains data accuracy; supports forecasting and planning; automates reporting; and communicates actionable recommendations to technical and non-technical stakeholders.

Leads enterprise business intelligence strategy, roadmap, product delivery, semantic modeling, governance, adoption, and AI-assisted analytics. Partners with Data Engineering, Data Governance, Data Science, AI Solutions, and IT to deliver scalable reporting and decision-support capabilities. Manages and develops the BI team, prioritizes demand, establishes delivery standards, monitors business value, and remains hands-on in solution design and technical troubleshooting.

Supports Revenue Growth Management through pricing, promotion, trade investment, portfolio, channel, and customer analyses. Develops models, business cases, and actionable insights to guide commercial planning, profitable growth, mix, and margin strategies. Partners with Sales, Marketing, Finance, Category Management, and Strategy teams, while advancing RGM capabilities, processes, and best practices across the organization.

Leads reporting, business intelligence, analytics, data engineering, automation, visualization, governance, and AI enablement. Develops scalable cloud-based data solutions, dashboards, predictive models, and actionable insights for commercial and leadership teams. Oversees data quality, reporting optimization, workflow automation, and self-service analytics while managing and mentoring an analytics team. Partners with technology and business stakeholders on data platforms, forecasting, customer reporting, and strategic initiatives.

Architect and build cloud-native data platforms, Snowflake pipelines, and datalakes for complex financial datasets. Lead legacy modernization, ETL/ELT, reconciliation, data quality, governance, and regulatory reporting initiatives. Drive technical product roadmaps, backlog prioritization, requirements, testing, cutovers, and releases. Coordinate Agile delivery through Jira and Confluence while aligning business, analytics, and engineering stakeholders across the full data and software lifecycle.

Develops customer, campaign, and business insights for multiple clients and categories. Analyzes data, identifies trends and opportunities, translates findings into recommendations, and creates stakeholder-ready reports, presentations, and scorecards. Builds client and internal relationships, supports business decisions, partners cross-functionally on campaigns and reporting, and improves analytical tools and processes. Requires independent management of complex analyses, strong communication, and proficiency with Excel and PowerPoint.

Analyzes and manages Medicare Advantage Stars data across ingestion, transformation, data marts, validation, reporting, and dashboards. Translates CMS Stars specifications into analytical models, validates healthcare data, investigates discrepancies, and delivers actionable insights to health plans. Collaborates with product, engineering, analytics, and plan stakeholders to develop data products and ensure alignment with CMS methodologies.