Public Sector Analyst Jobs (NOW HIRING)

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.

Active Secret U.S. security clearance required.

• 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

• 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

• 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)

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job‑related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity‑based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

The base salary range for this full‑time position in the location of Washington DC is: $184,000 – $230,000 USD

PLEASE NOTE: Our policy requires a 90‑day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high‑quality data and full‑stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

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We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

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