• Collect and organize data from multiple sources (native platforms and monitoring tools) for organic and paid media campaigns. • Create visual dashboards (Looker Studio, Power BI, or similar) that enable real-time readability and support decision-making. • Analyze content and campaign performance, translating raw metrics into actionable recommendations for internal teams and clients. • Prepare performance reports (weekly/monthly) with critical analyses of KPIs, benchmarks, and market trends. • Actively participate in client presentations, defending analyses from a technical perspective and proposing strategic directions. • Experiment with generative AI tools to optimize sentiment analysis and automate reporting.

• Own Workers’ Compensation business intelligence: work with data engineering to integrate and model WC data in Snowflake; build certified datasets, governed semantic models, and Power BI dashboards that provide actionable insights for Workers’ Compensation. • Support WC program reporting across policy lifecycle, operational throughput (UW queues and productivity), and portfolio outcomes (frequency/severity, loss ratios). Align metric definitions with business glossary and work with business stakeholders to ensure accuracy. • Drive advanced analytics: apply data mining techniques to policy, claims, and exposure data to support predictive modeling and trend analysis. • Enable self-service analytics by coaching stakeholders and managing workspace standards. • Collaborate with senior management to align BI solutions with strategic objectives and influence data strategy decisions. • Champion data governance and metric consistency, ensuring clear definitions and compliance with enterprise standards. • Mentor and develop junior BI analysts, fostering best practices in data modeling, visualization, and governance.

• Manage and analyze program and operational data related to global server decommission and infrastructure optimization initiatives • Support end‑to‑end server decommission processes through accurate data tracking and reporting • Develop, maintain, and update business intelligence dashboards, including regular data refreshes and enhancements • Build analytics and insights to support space, power, cooling, and network capacity optimization efforts • Query and mine data from multiple systems and tools to support reporting needs • Partner with program, operations, and technical teams to define new reporting requirements and deliver actionable insights • Provide tactical, hands‑down support for data analysis, reporting, and operational requests • Ensure data accuracy, consistency, and alignment with program goals • Support project delivery through timely reporting, insights, and status tracking

• Design, build, and maintain Power BI dashboards that serve as the primary reporting layer for finance, risk, and product teams. • Write efficient, well-structured SQL queries against Snowflake to extract, validate, and shape data for reporting and ad-hoc analysis. • Design and implement scalable semantic data models in Power BI including DAX measures, star-schema structures, and calculated tables. • Build and manage data transformation logic using dbt, collaborating with the data engineering team to ensure the right data is available. • Partner with finance, risk, and product stakeholders to translate business questions into well-defined reporting requirements. • Own data validation and quality checks across your reporting surfaces. • Contribute to metric governance: documenting definitions, business logic, and calculation methodology.