Public Sector Data Analyst

Public Sector Data Analyst

Scale is a rapidly growing, $14B valuation company that is changing how organizations worldwide build AI applications. 

As a Data Analyst, you will build our Public Sector analytics vertical and drive actionable insights that lead to step-function operational improvements. This role requires collaboration with leadership and cross-functional teams to solve complex problems and develop sustainable, scalable analytics solutions. Your responsibilities will include both ad-hoc analyses and the creation of core dashboards and tables, directly impacting how Scale operates and evaluates its performance.

The Data Analytics team is centralized and supports many teams across Scale. Data Analysts are strong relationship builders and work in close collaboration with delivery, operations, finance, and engineering. We are looking for candidates who are relentlessly curious and who thrive on creating insights from ambiguity.

You will:

• Collaborate with leadership, operations, and engineering teams to identify, define, and track key metrics to be used in monitoring, planning, and one-off decision-making
• Work closely with other teams to investigate problems, uncover root causes, and drive quantitative solutions
• Measure and effectively communicate results to the entire organization
• Help operators across the business better understand our customers, taskers, and pipeline efficiency
• Develop repeatable, scalable analytical solutions, such as dashboards, data models, or better underlying tables
• Have an active Secret security clearance (Top Secret preferred)

Ideally you'd have:

• 3+ years of relevant work experience in a role requiring application of data and analytics to business problems
• Mastery of SQL and relational databases; experience with scripting languages (e.g., Python/R)
• Experience with BI tools (e.g. Tableau and Redash), and Google Sheets preferred
• Experience with data modeling tools (e.g. DBT)
• Experience designing and building dashboards - understanding which metrics are most meaningful to the business and the cadence required to measure them
• Excellent communication and data visualization skills, and the ability to convey complex ideas succinctly
• Ability to initiate and drive projects to completion with minimal guidance