IAR Data Analyst

If you’re passionate about building a better future for individuals, communities, and our country—and you’re committed to working hard to play your part in building that future—consider WGU as the next step in your career.

Driven by a mission to expand access to higher education through online, competency-based degree programs, WGU is also committed to being a great place to work for a diverse workforce of student-focused professionals. The university has pioneered a new way to learn in the 21st century, one that has received praise from academic, industry, government, and media leaders. Whatever your role, working for WGU gives you a part to play in helping students graduate, creating a better tomorrow for themselves and their families.

The salary range for this position takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.

At WGU, it is not typical for an individual to be hired at or near the top of the range for their position, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is:
 

Grade: Professional 308

Pay Range: $75,200.00 - $112,700.00

Job Description

Want to use your data skills to improve how thousands of students learn?
At WGU, data drives decision-making, from course design to student support. As a Data Analyst on our Learning Program Analytics team, you'll work with large-scale, high-value datasets to help evaluate what's working and what's not, so we can help every student succeed. You'll partner closely with cross-functional teams to turn complex data into clear, actionable insights using rigorous analytical methods.

 

What You'll Do

• Analyze large datasets to uncover trends and deliver actionable insights that inform program development and student engagement strategies
• Build, maintain, and enhance dashboards and data visualizations, including consolidating and improving existing reporting assets
• Translate stakeholder needs into technical requirements and deliver clear, data-driven solutions
• Partner with Data Engineering to support ETL and data pipeline development
• Perform ad hoc analyses and communicate findings through compelling data storytelling
• Identify and resolve data quality issues to ensure accuracy and reliability of insights
• Apply descriptive statistics and analytical methods to identify patterns and support sound conclusions
• Document methodology, sources, and insight history to support transparency and reproducibility
• Understand and apply relevant data governance and security policies to access, use, and store data responsibly
• Collaborate with cross-functional teams including Program Development, Product, and Decision Intelligence to support key initiatives
• Build toward greater autonomy in driving tasks and small-scale projects, with growing independence in tracking progress and navigating dependencies

What You'll Bring

• Bachelor's degree in a related discipline
• 3 years of related experience in Data Analysis, Business Intelligence, Data Science, Statistics, Decision Intelligence, Research, Learning Science, or Behavioral/Cognitive Psychology
• Strong SQL skills and experience querying large datasets
• Experience with Tableau or Power BI for data visualization
• Experience working with ETL or ELT processes and data pipelines
• Solid working knowledge of descriptive statistics and analytical methods, with the ability to apply them to real-world datasets to identify trends and support data-driven conclusions
• Ability to apply sound judgment and analytical thinking to identify root causes of data issues and inform recommendations

Bonus Points

• Experience working with large-scale datasets containing millions of records
• Familiarity with Databricks or similar data platforms
• Experience contributing to dashboard optimization or consolidation projects
• Proficiency in a programming language such as Python or R
• Exposure to GitHub and analytics documentation standards

What to Expect
At WGU, our mission drives everything we do, including how we hire. Our interview experience is designed to give qualified candidates the opportunity to show their best work through meaningful conversations and collaboration.
We thoughtfully review every application and invite forward the candidates whose experience and potential best align with the role and our mission.

• Introductory call
• Hiring manager interview
• Technical interview
• Interview with Sr Director

Work Location
This is a full-time, in-office position requiring five days per week in our Salt Lake City, UT office, designed to foster the collaboration and connection that fuel our best work.

 

Visa Sponsorship
While we welcome applicants from all backgrounds, WGU is not able to provide visa sponsorship for this role.

 

Travel Requirement
This position requires occasional travel of up to 20%, including required attendance at designated company summits (typically one to two per year). Additional travel may include conferences, visits to company locations, and other business-related events as needed. Additional travel may be assigned as needed to support business requirements.

Position & Application Details

Full-Time Regular Positions (classified as regular and working 40 standard weekly hours): This is a full-time, regular position (classified for 40 standard weekly hours) that is eligible for bonuses; medical, dental, vision, telehealth and mental healthcare; health savings account and flexible spending account; basic and voluntary life insurance; disability coverage; accident, critical illness and hospital indemnity supplemental coverages; legal and identity theft coverage; retirement savings plan; wellbeing program; discounted WGU tuition; and flexible paid time off for rest and relaxation with no need for accrual, flexible paid sick time with no need for accrual, 11 paid holidays, and other paid leaves, including up to 12 weeks of parental leave.

How to Apply: If interested, an application will need to be submitted online. Internal WGU employees will need to apply through the internal job board in Workday.

Additional Information

Disclaimer: The job posting highlights the most critical responsibilities and requirements of the job. It’s not all-inclusive.

Accommodations: Applicants with disabilities who require assistance or accommodation during the application or interview process should contact our Talent Acquisition team at recruiting@wgu.edu.

Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to any protected characteristic as required by law.