• Lead the design, development, and deployment of scalable data engineering solutions, including ETL, data modeling, and data pipeline architecture for large and complex datasets. • Apply advanced analytical and statistical methods to build forecasting, economic modeling, and performance analysis that solve complex business problems. • Develop intuitive dashboards and visual analytics using Power BI, Excel (Power Query), SAS, and other BI tools to support cross-functional stakeholders. • Translate analytical insights into clear reports, metrics, and executive-ready narratives that guide strategic operations and decisions. • Perform in-depth project data analysis and identify patterns, trends, and opportunities to improve processes and reporting capabilities. • Create and maintain robust technical documentation and deliver data support to leadership, operational teams, and business partners. • Collaborate with IT and business stakeholders to ensure data quality, reliability, and governance.