Data Quality Assurance Associate

Indiana University FoundationBloomington, IN
$55,000 - $60,000Hybrid

About The Position

The Indiana University Foundation is seeking a detail-oriented systems thinker to safeguard the accuracy of the alumni and donor data at the heart of our advancement work as a Data Quality Assurance Associate. The accuracy of alumni and donor data across Indiana University and the Indiana University Foundation runs through your hands. Your work shapes how the systems that store, process, and retrieve that data are designed, implemented, and used. On a given day, you'll edit and refine SQL queries, batch edit data across systems, and analyze it for patterns and inconsistencies that need correcting. When an automated data feed or process doesn't run as expected, you're the one troubleshooting it. You'll also document the scripts, queries, and configuration changes you work with. Alongside that daily work, you'll partner with stakeholders to resolve issues, contribute to cross-functional project teams, and translate technical details into clear terms for colleagues outside your immediate team. If you want hands-on ownership of data quality work with real impact, apply today.

Requirements

  • Bachelor's degree in Information Technology or a related field required
  • One year of experience in data, information technology, or a related field required
  • Ability to write SQL queries with a working understanding of how data flows through a database system
  • Demonstrated knowledge and use of artificial intelligence tools to retrieve, organize, and act on data
  • Ability to analyze business processes and document them clearly for others
  • Demonstrated ability to leverage technology to manage projects and streamline day-to-day work
  • Adaptability and curiosity, with an interest in continuous learning

Nice To Haves

  • Combinations of related education and experience will be considered

Responsibilities

  • Edit and refine SQL queries
  • Batch edit data across systems
  • Analyze data for patterns and inconsistencies that need correcting
  • Troubleshoot automated data feeds or processes that do not run as expected
  • Document scripts, queries, and configuration changes
  • Partner with stakeholders to resolve issues
  • Contribute to cross-functional project teams
  • Translate technical details into clear terms for colleagues outside your immediate team

Benefits

  • Remote flexibility on Tuesday and Thursday
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service