Data Management Intern

Quva • Minneapolis, MN

13h

About The Position

The Data Management Intern position is responsible for supporting our Advanced
Analytics and AI (A3) team. This role focuses on collecting, organizing, and
migrating raw data from multiple sources into structured systems to enable
accurate reporting and analytics. The ideal candidate is analytical, organized,
and eager to gain hands-on experience in data processing and AI workflows. At
Quva, you will be an essential part of a mission-driven organization dedicated
to expanding critical access to quality, affordable medication and data insights
while promoting a culture of innovation, collaboration, and continuous
improvement.

Requirements

• Strong attention to detail and organizational skills
• Ability to handle large datasets and maintain data accuracy
• Analytical thinking and problem-solving
• Strong communication and documentation skills
• Time management and ability to meet deadlines
• Ability to work both independently and in a team environment
• Legally authorized to work in the job posting country
• Currently pursuing or recently completed a degree in Data Science, Computer Science, Information Systems, Business Analytics, Math or a related field
• Basic understanding of data structures and databases
• Familiarity with Microsoft Excel or Google Sheets
• Basic knowledge of SQL or other data querying languages

Nice To Haves

• Exposure to BI tools (e.g., Power BI, Tableau, Looker) preferred
• Familiarity with ETL concepts and data warehousing preferred
• Experience with scripting languages and AI modeling tools such as Python or R
• Understanding of data governance and data quality principles preferred

Responsibilities

• Collate and consolidate raw data from various internal and external sources
• Clean, validate, and standardize datasets to ensure accuracy and consistency
• Assist in migrating data into databases, data warehouses, or data and analytics platforms
• Identify and resolve data quality issues or discrepancies
• Support the development and maintenance of data pipelines and ETL processes
• Document data sources, definitions, and workflows
• Collaborate with data engineers, analysts and scientists to support reporting needs
• Perform basic data analysis to validate data quality
• Other duties as assigned

What This Job Offers

• Career Level: Intern
• Number of Employees: 251-500 employees