Senior Data Analyst, Public Sector

Posted 2 Days Ago
Washington, DC, USA
In-Office
184K-230K Annually
Senior level
Artificial Intelligence • Big Data • Machine Learning
The Data Platform for AI: High quality training and validation data for AI applications.
The Role
Build scalable analytics solutions for the Public Sector business, including dashboards, data models, tables, metric definitions, and ad hoc analyses. Own data quality, partner with Operations and Finance on efficiency and cost analysis, and translate complex findings into actionable insights. Drive cross-functional projects from ambiguity to completion while supporting planning, pricing, and business decision-making.
Summary Generated by Built In

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)

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.

About Us:

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.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. 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. 

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at [email protected]. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Skills Required

  • 6+ years of relevant work experience
  • Advanced SQL skills
  • Experience building with data modeling tools such as dbt
  • Experience building dashboards and reports with BI tools such as Tableau or Metabase
  • Strong business acumen and ability to partner with cross-functional stakeholders
  • Excellent communication skills and ability to translate technical analysis into actionable narratives
  • Comfort with ambiguity in a fast-moving environment and ability to make sound trade-offs
  • Active Secret U.S. security clearance
  • Top Secret U.S. security clearance
  • Familiarity working within air-gapped or federal environments
  • Prior experience supporting Business Operations, with exposure to process analytics or process mining

Scale AI Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Scale AI and has not been reviewed or approved by Scale AI.

  • Healthcare Strength Company materials and third‑party pages describe comprehensive medical, dental, and vision coverage along with mental‑health services and an EAP. Health insurance is portrayed as strong, with options like HSA/FSA and indications of high premium coverage.
  • Leave & Time Off Breadth Descriptions highlight generous PTO, paid holidays and sick time, bereavement, volunteer time, and role‑dependent flexibility or remote options. This breadth is positioned as part of a supportive time‑off approach, with specifics varying by location.
  • Equity Value & Accessibility Full‑time offers commonly include equity and an ESPP, which can meaningfully lift total compensation, especially in engineering and senior roles. Job postings and compensation snapshots consistently reference base‑plus‑equity packages aligned with competitive AI market pay.

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The Company
HQ: San Francisco, CA
523 Employees
Year Founded: 2016

What We Do

Scale accelerates the development of AI applications by helping machine learning teams generate high-quality ground truth data. Our advanced LiDAR, image, video and NLP annotation APIs allow machine learning teams at companies like OpenAI, Lyft, Pinterest, and Airbnb focus on building differentiated models vs. labeling data.

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