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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Space Systems Analyst - **Company:** H.E.O., INC. - **Location:** Arlington, VA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Data Analysis, Cloud Computing, Data Visualization, Python (Programming Language), SQL Databases, Visual Analytics, Data Processing, Cloud Platform System, Grafana, Orbital Mechanics, Git, Data Analytics - **Published:** July 18, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=e9a2a95bd47cd5b8 ## About the Role * Experience: 2-5+ years of professional experience in a data-centric engineering or analysis role, ideally supporting aerospace, remote sensing, defense, or intelligence applications. * Data & Tooling Proficiency: High proficiency in Python for data manipulation, statistical analysis, and Git version control within production repositories and libraries. Solid experience leveraging data visualization suites (e.g., Grafana) and advanced SQL querying. * Cloud Computing Experience: Experience with cloud computing platforms, with a strong preference for AWS. * Space Domain Focus: While a foundational understanding of orbital mechanics, relative orbital motion, coordinate systems, and satellite subsystems is a plus, we are highly enthusiastic about data professionals with a strong physics/math background who are eager to learn and master these concepts on the job. * Analytical Rigor: Strong critical thinking skills; you should be comfortable experimenting with new methodologies to solve "first-of-their-kind" space challenges. * Communication: Exceptional written and verbal skills, specifically the ability to produce intelligence-grade writing or scientific reporting with meticulous attention to detail. * Education: Bachelor's Degree or higher in Physics, Mathematics, Aerospace Engineering, Data Science, or a related quantitative field. * Security Requirement: Must have the ability to obtain or maintain a US government Top Secret security clearance. ## Description * Data-Driven Insight Generation: Process, clean, and model raw NEI and satellite telemetry data using Python and our in-house tools to extract consistent, high-quality technical insights. * Dashboarding & Visualization: Design, build, and maintain interactive dashboards using tools like Grafana to provide real-time or mission-critical visual analytics for operations and client teams. * Analytics Pipeline Management: Develop and operationalize analytical pipelines to seamlessly transition ad-hoc research into automated operational assets. * Multi-source Data Fusion: Leverage Python and SQL to fuse NEI-derived insights with other information sources to develop novel insights on complex space objects. * Sensor-to-Target Modeling: Apply a foundational understanding of orbital mechanics to calculate sensor-to-target geometries and ideal imaging conditions. * International Collaboration: Coordinate with HEO's globally distributed team of engineers and specialists to standardize analytical methodologies, refine metrics, and enhance the customer platform. * Client Engagement: Work closely with US government and commercial customers to translate their mission needs into technical requirements. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Robots are coming into the wild! 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