Data Analyst

Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it.

OUR MISSION

True Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors — enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground.

OUR VALUES

• Be the offset. We create asymmetric advantages with creativity and ingenuity.
• What would it take? We challenge assumptions to deliver ambitious results.
• It’s the people. Our team is our competitive advantage and we are better together.

BENEFITS & PERKS*

• Best-in-class healthcare: 100% company-paid medical, dental, and vision coverage for you and your dependents, with HSA/HRA options
• Generous time off: Flexible Time Off (FTO) for exempt employees, accrued PTO of up to 25 days for non-exempt employees, plus 12 paid holidays; Parental Leave; Sick Leave
• Fuel for your day: Daily catered lunch and unlimited snacks for in-office employees
• And more: 401(k) retirement plan, fitness reimbursement, and Dog Fridays
• Equity participation: Equity is included as part of our total compensation package, giving you an opportunity to share in the company’s success.

*Do not apply to fixed term and temporary roles

YOUR MISSION

We are looking for an experienced, hands-on Data Analyst to help us turn data into useful insights and make better business decisions while contributing to the continued development of our data infrastructure. In this role, you’ll independently partner with stakeholders across the organization to explore data, improve reporting, answer business questions, define meaningful metrics, and develop practical, reusable solutions. You’ll also help test, validate, and execute new data models, processes, and tools as we build a more scalable data foundation. This is an opportunity for someone who brings strong analytical fundamentals, sound judgment, and a practical approach to solving complex problems while helping establish sustainable analytics practices across the organization.

RESPONSIBILITIES

• Independently partner with stakeholders to understand business objectives and translate them into reliable analyses, reports, dashboards, metrics, and data solutions.
• Explore, clean, reconcile, and validate data from operational systems and emerging data infrastructure to identify trends, patterns, anomalies, and opportunities.