• Lead high‑impact analytics initiatives from problem framing through delivery; quantify value, design robust analyses, and communicate recommendations to business partners and executives • Partner with business leaders to identify analytics opportunities and deliver actionable insights. Present findings and recommendations to partners and executive leadership in clear, compelling formats • Develop analytics products and solutions using Databricks, modern Business and Artificial Intelligence tools and Agile principles • Implement advanced analytics where applicable, leveraging Python for advanced analytics, automation, and integration with Databricks workflows • Architect and publish trusted Power BI datasets and dashboards (DAX, Power Query, semantic models), establishing standards for usability and adoption • Build performant Databricks workflows (notebooks, jobs, SQL Warehouses) to wrangle large datasets, engineer features, and automate recurring analyses • Develop Python scripts for automation, data wrangling, and integration with Databricks and Azure services • Partner with Data Engineering on Azure data stack components (Data Factory, ADLS, Synapse/Fabric pipelines) for scalable data solutions • Own analysis quality: data validation, experiment/study design, sensitivity checks, and reproducibility (versioning, documentation) • Define and monitor KPIs; create executive scorecards and operational reporting that tie directly to business objectives • Coach/mentor analysts and BI developers; uplift storytelling, statistical thinking, and visualization craftsmanship across the team • Collaborate with Data Governance and Compliance to ensure appropriate use of PHI and adherence to privacy/security controls • Facilitate data stewardship and literacy across the business • Drive adoption of data products to scale data value • Stay current with emerging technologies and recommend enhancements to the analytics stack