• Lead complex analytics initiatives requiring advanced scripting and analytical methods. • Design, build, and maintain analytical solutions using SQL, Python, and R. • Contribute across the full analytics lifecycle: discovery, design, development, validation, and refinement. • Define and enforce enterprise-wide analytics and coding standards, including governance of citizen-developed solutions. • Conduct code reviews to ensure quality, performance, maintainability, and alignment with standards. • Develop reusable Python and R packages, shared SQL patterns, and analytical frameworks. • Support business partners with advanced analytical needs beyond standard BI reporting. • Apply advanced statistical and analytical techniques to solve complex business problems. • Selectively apply AI/ML techniques where they deliver clear business value. • Collaborate with Data Engineers and Architects to ensure alignment with data models, pipelines, and governance. • Clearly communicate insights, tradeoffs, and recommendations to technical and non-technical stakeholders. • Stay current with emerging analytics technologies and assess applicability.