Lead, mentor, and grow a team of ~4 analysts; set priorities, review work, manage performance, and ensure high quality and timely delivery.

Own and perform advanced analytics projects that influence executive decisions and operational strategy.

Lead the migration of scheduled code, processes, and recurring reports to the new data environment; own the migration plan, timelines, testing, validation, and rollback procedures.

Translate analytical findings into pragmatic recommendations and drive implementation in partnership with stakeholders.

Partner with Operations and Process to identify, scope, quantify, and implement process or technical improvements.

Manage moderate-to-complex projects and ad hoc executive requests; communicate status, risks, and outcomes clearly to leadership.

Master's degree in Mathematics, Economics, Statistics or other quantitative field preferred.

Ph.D. helpful given quantitative work they are leading.

Minimum 8, typically 10, years' experience; must have exceptional planning, analytical, decision-making and project management skills.

Expert knowledge of data sources, tools and business drivers.

Knowledge of statistical techniques required.

Industry: knowledge critical.

Intermediate SQL, SAS, or Python programming for data analysis and tool development preferred.