IAR Data Analyst

Lead with data to deliver research-grade, actionable insights.

Responsibilities

• Extract, process, analyze, and report on data to produce rigorous, actionable insights and research.
• Analyze large datasets to uncover trends that inform program development, student engagement strategies, and marketing initiatives.
• Build, maintain, and enhance dashboards and data visualizations, including consolidating and improving existing reporting assets.
• Translate stakeholder needs and ambiguous business questions into technical requirements and data-driven solutions.
• Partner with Data Engineering to support ETL and data pipeline development while ensuring data quality and reliability.
• Conduct ad hoc analyses and communicate findings through data storytelling, recommendations, and clear insights.
• Apply descriptive statistics, root cause analysis, diagnostic methodologies, and other analytical techniques to identify patterns, trends, and opportunities for improvement.
• Collaborate cross-functionally with Program Development, Product, Marketing, and Decision Intelligence to support strategic initiatives and drive business impact.
• Establish and maintain strong relationships with peers and leaders across IAR, Data Engineering, Product Management, Finance, EdTech, and Faculty staff.

Requirements

• Bachelor’s degree in a related discipline.
• 3 years of related experience in one or more areas: Data Analysis, Business Intelligence, Data Science, Statistics, Decision Intelligence, Research, Learning Science, Behavioral/Cognitive Psychology, Marketing Analytics, or Digital Analytics.
• Strong SQL skills, including 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, applied 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.

Technologies

• SQL
• Tableau
• Power BI
• ETL
• ELT

Benefits

• 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.
• Flexible paid time off for rest and relaxation (no need for accrual).
• Flexible paid sick time (no need for accrual).
• 11 paid holidays.
• Other paid leaves, including up to 12 weeks of parental leave.

Bonus Points

• Experience working with large-scale datasets containing millions of records.
• Familiarity with Databricks or similar data platforms.
• Proficiency in a programming language such as Python or R.
• Experience with GitHub and analytics documentation standards.
• Experience contributing to dashboard optimization or consolidation projects.
• Experience with marketing analytics, digital analytics, and customer journey analytics.
• Hands-on experience with Adobe Analytics and/or Adobe Customer Journey Analytics.
• Experience with marketing funnel measurement, attribution modeling, channel performance analysis, customer segmentation, and marketing experimentation and testing.
• Ability to translate ambiguous business problems into scalable technical and analytical solutions.
• Experience applying root cause analysis and diagnostic methodologies to identify drivers of business performance and data issues.
• Experience producing AI-assisted analytics, including leveraging AI-enabled tools and technologies to accelerate analysis, generate insights, enhance reporting, and support data-driven decision-making.

Impact

• Data shapes the student experience and supports strategic decision-making.
• As a Data Analyst II, transform complex data into actionable insights that support program development, student engagement, and marketing effectiveness.
• Work cross-functionally with stakeholders across Program Development, Product, Decision Intelligence, Marketing, and Data Engineering to drive meaningful outcomes through data-driven decision-making.

What to Expect

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

Location and Work Schedule

• United States (onsite).
• Full-time, in-office position requiring five days per week in the Salt Lake City, UT office.

Travel

• Occasional travel up to 20%.
• Includes 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.

Visa Sponsorship

• WGU is not able to provide visa sponsorship for this role.

Experience in Lieu of Education

• An equivalent combination of education and experience that demonstrates the required competencies may be considered.

Position Details

• Full-Time Regular position (classified for 40 standard weekly hours).
• Eligible for bonuses.

Compensation

• USD 75,200 - 112,700 per year.

How to Apply

• Submit an application online.
• Internal WGU employees apply through the internal job board in Workday.

Additional Information

• Disclaimer: The job posting highlights the most critical responsibilities and requirements; it’s not all-inclusive.
• Accommodations: Applicants with disabilities who need assistance or accommodation during the application or interview process should contact Talent Acquisition at [email protected].
• Equal Employment Opportunity: All qualified applicants will receive consideration without regard to any protected characteristic as required by law.