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.

Key Duties and 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
Competencies / Skills:
• 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

Work Environment:
• Ability to sit and/or stand 8 hours or more per day if needed
• Ability to manipulate necessary office equipment, computer software, hardware & equipment
• Ability to perform the following physical activities: stooping, reaching, standing, grasping, walking, feeling, talking, and hearing
• Occasionally lift up to 40 lbs.
Qualifications:
• 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
• Exposure to BI tools (e.g., Power BI, Tableau, Looker) preferred
Personnel Requisition Form.doc.rar ` 03/27/26
• 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

To be considered:
In order to be considered for this position you must complete the entire application process, which includes answering all prescreening questions and providing your eSignature on or before the requisition closing date.
Candidates for regular U.S. positions must be a U.S. citizen or national, or an alien admitted as permanent resident, refugee, asylee or temporary resident under 8 U.S.C. 1160(a) or 1255(a)(1). Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.
It is the policy of Quva to afford equal opportunity for employment to all individuals regardless of race, color, age, national origin, physical or mental disability, history of disability, ancestry, citizenship status, political affiliation, religion, gender, transgender, gender identity, marital status, status as a parent, sexual orientation, veteran status, genetic information or other factors prohibited by law, and to prohibit harassment or retaliation based on any of these factors.

Equal Opportunity Employer

This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.