IAR Data Analyst

At WGU, data drives decision‑making, from course design to student support. As a Data Analyst on the Learning Program Analytics team, you’ll work with large‑scale, high‑value datasets to evaluate what’s working and what isn’t, helping every student succeed.

• 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 adhoc 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.

• 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 PowerBI for data visualization.
• Experience working with ETL or ELT processes and data pipelines.
• Solid working knowledge of descriptive statistics and analytical methods.
• 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 Git Hub and analytics documentation standards.

Salary range: $75,200.00 – $, Grade:
Professional
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Full‑time, 40‑hour week. Eligible for bonuses and a comprehensive benefits package, including:

• Medical, dental, vision, telehealth, and mental health care.
• 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.
• Well‑being program.
• Discounted WGU tuition.
• Flexible paid time off for rest and relaxation (no accrual). Flexible paid sick time with no accrual.
• 11 paid holidays and up to 12 weeks of parental leave.

Work Location:

In‑office, Salt Lake City , UT (five days per week). Visa Sponsorship:
Not available for this role. Travel:
Occasional travel up to 20% of the time, including required attendance at designated company summits and other business‑related events.

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

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