Designs and maintains reusable analytic data models and Extract, Transform, and Load (ETL) pipelines that support recurring insight generation and performance monitoring.
Leads development of advanced dashboards, reports, and analytic tools that surface trends, correlations, and performances opportunities across enterprise domains.
Partners with analysts, data scientists, and operational stakeholders to embed insights directly into workflows and decision processes.
Implements and maintains version control, peer review (pull request), and continuous integration practices for analytic codebases.
Ensures adherence to data lineage, governance, and reproducibility standards across all analytic products.
Supports enterprise level measure refresh cycles and ensures alignment with standardized data abstraction layers.
Drives continuous enhancement of the analytic ecosystem by integrating new data sources, improving data structures, and optimizing performance.
Translates analytic findings into business relevant narratives and partners with stakeholders to act on insights.
Applies subject matter expertise in evaluating business operations and processes. Identifies areas where technical solutions would improve business performance. Consults across business operations, providing mentorship, and contributing specialized knowledge. Ensures that the facts and details are correct so that the program's deliverable meets the needs of the department, organization and legislation's policies, standards, and best practices. Provides training, recommends process improvements, and mentors junior level staff, department interns, etc. as needed.
Performs other duties as assigned.