Temporary Data Request Analyst

Uncommon Schools
New York, NY
Category Education
Job Description

You’ll play a key role in ensuring the right data reaches the right people at the right time across Uncommon. In this role, you will manage and fulfill data requests, support critical data processes, and help teams make informed decisions that directly impact students and schools. You’ll collaborate with colleagues across Development, Talent, and academic teams, turning data into clear, usable insights. Your work will support the reporting and analysis that helps advance our mission of preparing students to graduate from college and achieve their dreams.

This is a temporary position starting as soon as possible, with an expected end date of June 30, 2027.

Data Processing & Reporting

  • Prepare, clean, and organize data for reporting and analysis across multiple systems
  • Configure, test, and execute data processes, including survey and assessment-related data
  • Build and refine reports that provide key information to stakeholders
  • Monitor data quality and help troubleshoot issues to support accurate reporting

Data Requests & Stakeholder Support

  • Fulfill and track data requests from teams across the organization for internal and external use
  • Partner with teams that submit recurring requests to anticipate needs and plan ahead
  • Respond to questions and support colleagues in accessing and understanding data
  • Assist with analyses requested by leadership and Home Office teams

Process Improvement & Documentation

  • Document processes, reports, and workflows to support consistency and quality
  • Contribute to and maintain a knowledge base of key datasets and reporting practices
  • Identify opportunities to improve processes and tools in collaboration with the Data & IT team

Team & Project Support

  • Support project planning to ensure timely and accurate delivery of data work
  • Assist with team coordination, including organizing documentation and scheduling
  • Continue developing data skills to contribute to broader reporting and analysis work