Data Analyst

Walden University, an Adtalem Global Education institution, supports a diverse community of adult learners from across the U.S. and other countries, who seek to achieve their academic goals and make positive, lasting social change in their professions and communities. Walden offers more than 100 online degree and certificate programs, for students pursuing a bachelor’s, master’s, doctoral or certificate. Walden University has graduated more than 174,000 students and is accredited by the Higher Learning Commission.

In our U.S. locations, we operate on a hybrid work model with three in-office days and two remote days per week. Starting Q1 2025, we will transition to a four-day in-office schedule, Monday–Thursday. This in-office time fosters creativity, innovation, communication, and stronger team relationships, supporting both individual and organizational success.

Visit WaldenU.edu for more information, and follow on Twitter, Instagram, Facebook, Instagram and LinkedIn.
 

Applicants must be currently authorized to work in the United States on a full-time basis. Adtalem Global Education will not sponsor applicants for work visas.

The Capstone Data Analyst role provides data analysis and reporting for Academic Affairs and Administration. This position fulfills the primary data reporting functions for the office. The Capstone Data Analyst reports to a primary supervisor and is based in Minneapolis.

• Retrieve, provide quality assurance, and analyze data from Walden’s student information system and other data sources, in order to:
  • Fulfill internal (Walden University) requests for information
  • Support doctoral capstone assessment requirements
  • Query databases in SQL Server and Oracle
  • Test hypotheses related to capstone quality, assessment, and student progress/success
  • Audit student database records for accurate.
• Develop, test, and generate reports/dashboards, and complete analyses using Power BI, Excel, and other tools.
• Support university initiatives through data driven insights.
• Support academic program review/co-curricular review.
• Present reports and data in written and oral form to a variety of audiences
• Manage projects.
• Collaborate with stakeholders regarding data request and results.
• May perform other duties and responsibilities that management may deem necessary from time to time.

• Bachelor’s degree with coursework in research methods and statistical analysis preferably within the social sciences.
• Experience with reporting and/or online learning software including SQL Server, Taskstream, and Cognos.
• Ability to retrieve, analyze, and present data in meaningful formats (tables, charts, graphs) to various audiences.
• Intermediate to advanced knowledge of Power BI, SQL, Microsoft Excel, PowerPoint, and Word.
• Experience designing both data sources and dashboards in Power BI.
• Excellent attention to detail.
• Excellent analytical, problem solving, communication and organizational skills.
• Independent, self-starter.
• The ability to be creative, innovative, and able to work with minimal supervision.
• The ability to collaborate with other Walden staff and faculty.

In support of the pay transparency laws enacted across the country, the expected salary range for this position is between $42,661.58 and $75,065.24. Actual pay will be adjusted based on job-related factors permitted by law, such as experience and training; geographic location; licensure and certifications; market factors; departmental budgets; and responsibility. Our Talent Acquisition Team will be happy to answer any questions you may have, and we look forward to learning more about your salary requirements. The position qualifies for the below benefits.

Adtalem offers a robust suite of benefits including:

• Health, dental, vision, life and disability insurance
• 401k Retirement Program + 6% employer match
• Participation in Adtalem’s Flexible Time Off (FTO) Policy
• 12 Paid Holidays
  
  For more information related to our benefits please visit: https://careers.adtalem.com/benefits.

Equal Opportunity – Minority / Female / Disability / V / Gender Identity / Sexual Orientation