• Own analytical framing and execution for high-stakes business questions related to value creation, strategy, and operational performance • Define and maintain trusted KPIs and Snowflake data marts using DBT to ensure reliable, decision-ready data foundations • Design and maintain executive dashboards in QuickSight that answer meaningful business questions and reduce metric ambiguity • Apply a hypothesis-first approach to analysis, identifying likely drivers, testing competing explanations, and making clear recommendations even with imperfect data • Translate complex healthcare data into concise memos, slides, and narratives tailored to decision-makers • Partner cross-functionally with Data Engineering, Finance, Operations, and Customer Success to ensure alignment on metrics, sources of truth, and performance insights

• deliver a the final business solution to the operations team through a Power BI Experience • shape data into a crispy design through a smooth user experience • work on cutting edge data technology as a key user on Ryder's Azure Data Lake • design critical analytical dashboards, reports and queries to drive strategic business decisions • dig deep into the core issues of business problems to drive a solution • engage the business, evaluating their needs and ad-hoc requests • coach, mentor and learn from the upcoming generation of product experts • enhance data maturity and integration to standardize core value add functionality • challenge the status quo and guide entrepreneurial innovation

• Define, and drive analytics strategy, in partnership with executive leadership • Shape long-term KPI frameworks tied to patient outcomes, provider performance, compliance metrics, and operational scalability. • Support regulatory reporting needs and ensure analytical frameworks will align • Analyze healthcare and telehealth data including utilization trends, patient engagement, provider performance, and quality measures. • Ensure alignment across data definitions, reporting structures, and metric calculations. • Identify risks related to accuracy, audit readiness, and healthcare requirements. • Support critical reporting tied to clinical quality, operational and compliance initiatives. • Anticipate impacts on analytics and proactively recommend data adjustments. • Develop predictive models and forecasting using SQL, Python, R, or similar tools. • Design senior level frameworks to evaluate all operational delivery initiatives. • Build scalable, reusable data models that support enterprise-level reporting. • Serve as a strategic analytics across all operations Finance, Operations, Clinical, etc. • Translate data needs from non-technical stakeholders, into structured analytical plans. • Lead presentations that synthesize complex data into strategic recommendations. • Elevate standards for data quality, reporting rigor, and analytical methodologies. • Mentor Senior and mid-level analysts; in both technical and business acumenIdentify gaps in data collection, governance, and reporting processes and implement scalable improvements.

• Clean, organize, and validate large energy and building performance datasets to ensure accuracy and reliability. • Develop and maintain dashboards, dataflows, and recurring performance reports using tools such as Power BI. • Perform assigned data analysis tasks to support client deliverables and internal initiatives. • Document data sources, assumptions, processes, and methodologies clearly and consistently. • Conduct quality checks and follow established data management standards to maintain high-quality outputs. • Support multiple concurrent projects by delivering assigned tasks on schedule and meeting defined requirements. • Collaborate with internal Energy & Sustainability teams to support project objectives and analytics initiatives. • Learn and apply Salute's internal analytics tools, software platforms, and standardized processes. • Contribute to continuous improvement efforts by identifying opportunities to enhance workflows, automation, and reporting efficiency. • Participate in team meetings, training sessions, and professional development activities to build technical and industry knowledge.