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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst - **Company:** K2 Space - **Location:** Los Angeles, CA, United States - **Experience:** Expert - **Salary:** $140,000.0 - $180,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Data Integrity, Extract Transform Load (ETL), Data Visualization, Relational Databases, Python (Programming Language), Operational Data Store, Power BI, SQL Databases, Tableau (Software), Business Intelligence Development Studio, Snowflake, Information Technology, Data Analytics, Data Pipelines - **Published:** June 28, 2026 - **Apply:** https://www.dice.com/job-detail/2068e93e-0fe6-4f18-be93-f156293fc968 ## About the Role With multiple launches planned through 2026 and 2027, we're Building Bigger to develop the solar system and become a Kardashev Type II (K2) civilization. If you are a motivated individual who thrives in a fast-paced environment and you're excited about contributing to the success of a groundbreaking Series C space startup, we'd love for you to apply., * 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. Nice to Have * 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. ## Description * 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. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [The Innovation Formula: Fast Prototyping, Data Analysis, and Real User Insights](https://www.wearedevelopers.com/videos/1421-the-innovation-formula-fast-prototyping-data-analysis-and-real-user-insights) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)