Develop automated reports, dashboards, and analyses that surface KPIs, performance drivers, and trends. In direct support of strategic or operational decisions
Build and manage data pipelines integrating structured and unstructured data sources across K2's enterprise systems
Design and implement automated workflows using SQL, Python, Snowflake, and related tools to standardize data, minimize manual error, and uphold data integrity and governance best practices
Develop and maintain data retrieval processes and application integrations across multiple systems and data sources
Partner with internal stakeholders across Manufacturing, Finance, Propulsion, Materials, and other disciplines to analyze drivers impacting production outputs and operational scaling
Develop, maintain, and distribute recurring reports for Manufacturing, Finance, and Production teams, accurately and on schedule
Support regulatory, financial, and accounting reporting by compiling and validating the underlying data
Evaluate existing processes around data QC, and report distribution. Identify inefficiencies and deliver concrete improvements
Own documentation for data tools, analyses, and workflows; keep it current and usable
Stay current on advancements in data analytics, automation, AI/ML, and BI tooling