Project Engineer - Data Analysis

Confirmed live in the last 24 hours

True Anomaly

Denver, CO

Hybrid

Posted March 27, 2026

Job Description

A new space race has begun. True Anomaly seeks those with the talent and ambition to build innovative technology that solves the next generation of engineering, manufacturing, and operational challenges for space security and sustainability.

OUR MISSION

The peaceful use of space is essential for continued prosperity on Earth—from communications and finance to navigation and logistics. True Anomaly builds innovative technology at the intersection of spacecraft, software, and AI to enhance the capabilities of the U.S., its allies, and commercial partners. We safeguard global security by ensuring space access and sustainability for all.

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

YOUR MISSION

We are looking for a data-driven Project Engineer, Data Analysis to serve in the Program Management Office (PMO) and own the metrics, dashboards, and reporting infrastructure that power decision-making across our portfolio of programs. In this role, you will transform complex programmatic and engineering data into clear, actionable insights through Power BI and other analytics tools. You will partner closely with Engineering, Finance, Operations, and Program Management to define KPIs, build scalable reporting solutions, and drive a culture of data-informed execution. The ideal candidate blends a strong space program background with hands-on expertise in data visualization and business intelligence.

Responsibilities

Design, develop, and maintain enterprise-grade Power BI dashboards and reports that provide real-time visibility into program health, cost, schedule, and technical performance.

Define and standardize KPIs and metrics in collaboration with Program Managers, Systems Engineers, and functional leads to ensure consistent measurement across programs.

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