• Define and execute the BI strategy, shifting the organization from reactive reporting to a proactive, 'intelligence-first' mindset that drives faster and better business decisions. • Partner with senior stakeholders across Finance, Sales, Customer Experience, Trust & Safely, Marketing and Product to align the BI roadmap with global goals. • Define and operationalize enterprise KPIs and executive-level dashboards to ensure consistent measurement of business performance and accountability. • Oversee the evolution of our modern cloud data stack, ensuring it is optimized for high-performance querying, cost-efficiency, scalability and reliability. • Unify enterprise data models across the organization to eliminate fragmented silos and ensure a single, governed, and trusted 'Source of Truth.' • Maintain ownership of data cataloging, quality, and governance standards while ensuring BI platforms and data assets comply with security, privacy, and regulatory requirements across regions. • Establish rigorous data quality, observability, and reliability standards to build sustained trust in analytics and reporting. • Own vendor relationships and the BI budget, focusing on Total Cost of Ownership and Databricks compute efficiency. • Oversee and ensure timely delivery of month-end data while implementing automation to streamline processes and improve long-term efficiency. • Champion the use of AI and advanced analytics to automate insights, enhance forecasting, and surface proactive recommendations for the business. • Lead the transition to modern BI tools, empowering teams to explore data independently while maintaining governance. • Lead organizational change management and data literacy initiatives to drive adoption of self-service BI and analytics across the business. • Lead and mentor a global team of engineer and analyst professionals, transitioning the function from manual data processing to high-value strategic innovation.

• Define and execute the BI strategy • Partner with senior stakeholders across various departments • Define and operationalize enterprise KPIs and executive-level dashboards • Oversee the evolution of our modern cloud data stack • Unify enterprise data models across the organization • Maintain ownership of data cataloging, quality, and governance standards • Establish rigorous data quality, observability, and reliability standards • Own vendor relationships and the BI budget • Oversee and ensure timely delivery of month-end data • Champion the use of AI and advanced analytics • Lead the transition to modern BI tools • Lead organizational change management and data literacy initiatives • Lead and mentor a global team of engineer and analyst professionals

• Work in partnership with the Director of Customer Success/Analytics to build, maintain, and improve reporting, dashboards, and data tools supporting client merchandising programs • Manage and maintain core data assets, including active field rep rosters, store master lists, and program location data, ensuring accuracy, completeness, and consistent structure across systems • Build and refresh field coverage and proximity analyses that inform staffing plans, travel classifications, and client program feasibility • Support capacity planning and labor estimating, including rep-hours modeling for new and existing retail programs • Manage recurring data refreshes and reporting cadences for active client programs, including execution, audit, and compliance reporting • Develop and maintain Airtable bases, interfaces, and automations that support field operations and program management workflows • Extract, clean, and transform data from Salesforce and other source systems to support analysis and reporting • Collaborate cross-functionally with program managers, account teams, Information Services (IS), and field leadership to identify data needs and resolve data quality issues • Establish and track KPIs that benchmark program performance and measure the impact of operational decisions • Structure large data sets, create clear visualizations, and translate findings into actionable recommendations for internal stakeholders and clients • Document data processes, definitions, and methodologies to build repeatable, scalable reporting practices

• Teach core data analysis and statistical analysis techniques • Build skills in data visualization and business intelligence • Help clients apply data-driven decision making to real business problems • Guide clients through market research and competitive analysis • Offer resume review, LinkedIn review, and cover letter guidance • Provide interview prep and networking strategy tailored to analytics and BI roles • Support those pursuing freelancing opportunities in the space