Analyst (Multiple Positions)(Closes 11/23/2026)

Allegheny County Department of Human Services • Pittsburgh, PA

4d • $80,000 - $88,000 • Onsite

About The Position

Allegheny County Department of Human Services (DHS) is hiring multiple analysts for its Office of Analytics and Technology. Analysts use integrated human-services data to answer questions that shape services for County residents. The role supports child welfare, prevention and community services, aging, Medicaid, and behavioral health programs, working with program managers and leaders, Analytics and Technology colleagues, and academic and foundation research partners.

Analysts own measurement, reporting, and data tools for their portfolios. They help program leaders understand service performance and where services break down, partner with staff to identify bottlenecks and test improvements, and build reusable, documented tools that make recurring reporting reliable and help partners answer routine questions independently. Areas of need include operations research and performance improvement, analytics engineering and automation, and Medicaid and behavioral health operations. Subject-matter knowledge of DHS programs is not required at hiring; analysts learn it on the job.

The position is on-site in downtown Pittsburgh, Pennsylvania, and pays $80,000 to $88,000 per year. Candidates must be authorized to work in the United States without restriction and obtain Act 33, Act 34, and FBI clearances. The role has no supervisory responsibilities. Physical requirements include being able to sit for more than two hours, carry up to 10 pounds, and have reliable transportation for community work. Other duties may be assigned.

Requirements

• Break ambiguous problems into manageable questions, question assumptions, weigh alternatives, and reach sound conclusions from imperfect data.
• Learn how programs operate and identify the underlying need behind requests.
• Choose and justify an appropriate solution, such as an analysis, dashboard, pipeline, or self-service tool.
• Communicate insights clearly and turn them into actionable recommendations for leaders, program staff, and technical peers.
• Build trusted working relationships with program staff and contribute to operational and strategic decisions.
• Bring creative ideas for improving practice, including redesigning recurring reports or developing measures and tools.
• Have at least two years of related analytical experience, such as research, statistics, economics, GIS, business intelligence and reporting, or database work, or equivalent transferable experience.
• Have working proficiency in Python or R and a query language such as SQL.
• Write clean, documented, reusable code and have project work that can be shared and explained.
• Balance speed with quality and validate results before delivery.
• Hold a bachelor's degree in an aligned field, or have an equivalent combination of education and experience.
• Handle sensitive data on vulnerable populations responsibly and embrace the DHS mission.
• Be authorized to work in the United States without restriction.
• Obtain Act 33, Act 34, and FBI clearances.
• Meet the stated physical requirements: sit for more than two hours, carry up to 10 pounds, and have reliable transportation for community work.

Nice To Haves

• Experience running or supporting evaluations of government or nonprofit programs, or advising program leaders on findings.
• Intermediate or higher SQL scripting and Python or R experience.
• Experience with automated dashboards such as Tableau or Power BI, automation using certified data sources and scheduled refreshes, sound Git practices such as branches, code review, and rollback, and some testing practice.
• A master's degree in a quantitative field such as operations research, industrial engineering, statistics, economics, data science, health policy, or public policy.
• Experience working with messy administrative data.
• Interest in child welfare, education, early childhood, health, justice, housing, or other human-services work.
• A demonstrated record of learning new tools and acting on feedback.
• Background in operations research, industrial and systems engineering, management science, policy analysis, economics, quality improvement, information systems, data science, data engineering, business intelligence, computer science, health policy, health economics, health services research, clinical informatics, biostatistics, epidemiology, or hands-on healthcare data work.

Responsibilities

• Provide program leaders with a trustworthy picture of service performance and identify where services break down.
• Partner with program staff to identify bottlenecks, test improvements, and inform operational and strategic decisions.
• Build reusable, documented tools that make recurring reporting reliable and enable partners to answer routine questions themselves.
• Depending on the team's needs, define performance measures, review them routinely with program leaders, and turn results into action.
• Design and run quality improvement projects, including process mapping, root cause analysis, and PDSA cycles, and measure their impact.
• Model capacity, caseloads, queues, and workflows to identify bottlenecks and test alternatives before rollout.
• Automate recurring reporting with scheduled pipelines and certified data sources.
• Build and maintain automated dashboards and self-service tools for program staff.
• Build and maintain reusable, documented, tested, and version-controlled Python and SQL code and data pipelines.
• Analyze behavioral health program performance, service access, population health, finance, and quality, including healthcare datasets such as Medicaid claims.
• Translate findings for program, finance, and leadership audiences and support program and financial decisions.
• Handle sensitive information about vulnerable residents responsibly.

Benefits

• Ownership of a defined portfolio and freedom to redesign how the work gets done.
• Access to a modern technology stack, including Python/R, Oracle SQL data warehouse, Tableau, ArcGIS, Git, Airflow, Docker, Power Apps, and approved AI tools.
• Access to integrated human-services data, experienced mentors, and academic research partners.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level