Compensation
$182,400-$228,000/yrDescription
Scale's Data Analytics team is centralized, embedding data analysts across delivery, operations, finance, and engineering to turn ambiguous problems into clear, actionable insights. As a Senior Data Analyst for Public Sector, you'll build analytics solutions from the ground up - partnering closely with cross-functional teams and leadership to solve complex problems, design dashboards, build tables, and perform ad-hoc analyses that shape how Scale runs and measures its Public Sector business.
We're looking for someone who's relentlessly curious, comfortable owning ambiguity, and skilled at turning cross-functional relationships into sustainable, scalable analytics solutions.
Active Secret U.S. security clearance required
You will:
- Own data quality for your domain - document models, troubleshoot discrepancies, and establish centralized metric definitions
- Collaborate with cross-functional teams to identify, define, and track key metrics to be used in monitoring, planning, and one-off decision-making
- Develop repeatable, scalable analytical solutions, such as dashboards, data models, or standard processes
- Partner with Ops to identify and track efficiency initiatives, measuring their impact on cost, quality, and delivery outcomes over time
- Partner with Finance to analyze cost drivers across programs and help inform pricing strategy
- Be willing to deepdive when needed and dig into the messy details to get to the root of a problem
- Initiate and drive complex projects to completion with minimal guidance
Ideally you'd have:
- 6+ years of relevant work experience
- Advanced SQL skills and experience building with data modeling tools (e.g. DBT)
- Experience building dashboards and reports with BI tools (e.g. Tableau, Metabase)
- Strong business acumen - comfortable partnering directly with cross-functional stakeholders
- Excellent communication skills - able to translate technical analysis into clear, actionable narratives
- Comfort with ambiguity in a fast-moving environment and able to make sound trade-offs
- Active Secret U.S. security clearance is required; Top Secret U.S. clearance is preferred
Nice to haves:
- Familiarity working within air-gapped/federal environments and navigating their constraints
- Prior experience supporting a Business Operations function, with exposure to process analytics or process mining (e.g. workflow optimization)
Stack
- Posted
- Sep 2, 2026
- Last seen
- Sep 2, 2026
- First seen
- Sep 2, 2026

