Database Programmer/Analyst

The Database Programmer / Analyst will support the Philadelphia Citizens Police Oversight Commission (CPOC) Data Division with implementation and ongoing maintenance of data pipelines into and out of a PostgreSQL database. The role focuses on writing and maintaining scripts and queries that enable reliable data ingestion, extraction, and preparation for reporting and analysis. The position is hands-on and execution-oriented, emphasizing system organization, clarity, and repeatability rather than database administration, security, or advanced analytics.

Work activities:

• Develop and maintain Python scripts to retrieve data from APIs and other external sources and load it into PostgreSQL
  
• Write and maintain SQL queries, tables, and views to support reporting and analysis
  
• Prepare and structure data for use in dashboards and advanced analytics
  
• Perform basic data validation and transformation to address formatting, consistency, and completeness issues
  
• Organize scripts, queries, and documentation to ensure maintainability and ease of handoff
  
• Document data sources, processing logic, and manual execution steps
  
• Troubleshoot data flow issues and support downstream users as needed

Required

• Demonstrated experience writing SQL for PostgreSQL or similar relational databases
  
• Experience with Python scripting for data processing and API interaction
  
• Familiarity with moving data between systems (ingestion, transformation, extraction)
  
• Experience supporting reporting or analytics tools (e.g., BI platforms or statistical software)
  
• Ability to write clear documentation and maintain organized codebases
  
• Comfort working in a manual, script-driven execution environment
  
• Strong interpersonal skills, including the ability to work on teams and collaborate with colleagues, partners, and members of the public.
  

Highly Desired/Preferred

• Experience working with Metabase or comparable BI/dashboarding tools
  
• Experience supporting or collaborating with R-based analytics workflows
  
• Familiarity with REST APIs and common authentication methods
• Experience maintaining small-to-medium data pipelines over time
  
• Prior work in environments with limited automation or evolving data practices