K2 Space Senior Data Analyst turning operational data into insights to drive decisions across satellite design, manufacturing, and mission operations. Build reports, dashboards, and automation to scale data visibility.
Responsibilities
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.
Qualification
Bachelor's degree in Data ScienceProficiency in SQL and PythonBackground in manufacturing
Required
Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, or a related STEM discipline.
6+ years of experience in a data analyst or analytics role.
Proficiency in SQL and Python.
Working experience with Snowflake and a modern BI platform (PowerBI or Tableau).
Experience working with relational databases and building complex data visualizations.
Ability to translate ambiguous business questions into structured analyses and clear recommendations.
Comfortable modifying established workflows and troubleshooting data issues as they arise.
Preferred
Experience with ETL processes and workflow automation.
Background in manufacturing, finance, or operational data domains.
Strong knowledge of financial reporting processes.
Familiarity with physical manufacturing workflows.
Experience mentoring or informally leading analysts on a data team.
