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 308Pay Range: $75,200.00 - $112,700.00

Job Description The IAR Data Analyst is responsible for extracting, processing, analyzing, and reporting on data to produce rigorous, actionable insights and research. They establish and maintain strong relationships with peers and leaders across IAR, Data Engineering, Product Management, Finance, EdTech, and Faculty staff. They perform ad hoc analyses, build standard reports and data visualizations, and deliver information and insights through various methods and media that privilege data storytelling and compress time-to-action.

Impact You'll Make At WGU, data plays a critical role in shaping the student experience and informing strategic decisions. As a Data Analyst, you will transform complex data into actionable insights that support program development, student engagement, and marketing effectiveness. Working cross-functionally with stakeholders across Program Development, Product, Decision Intelligence, Marketing, and Data Engineering, you will help drive meaningful outcomes through data-driven decision-making. What You'll Do Analyze large datasets to uncover trends and deliver actionable insights 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. Perform ad hoc analyses and communicate findings through compelling data storytelling and recommendations. Apply descriptive statistics, translate ambiguous business questions into structured analytical approaches, identify root causes and performance drivers, and develop actionable recommendations and analytical techniques to identify patterns, trends, and opportunities for improvement. Collaborate with cross-functional teams including Program Development, Product, Marketing, and Decision Intelligence to support strategic initiatives and drive business impact. Analyze customer journeys, marketing funnels, audience segments, and channel performance to identify drivers of acquisition, engagement, conversion, and downstream outcomes. 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, Behavioral/Cognitive Psychology, Marketing Analytics, or Digital Analytics. 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 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. Proficiency in a programming language such as Python or R, experience with GitHub and analytics documentation standards, and experience contributing to dashboard optimization or consolidation projects. Experience with marketing, digital, or customer journey analytics, preferably with hands-on experience for Adobe Analytics and/or Adobe Customer Journey Analytics or other related platforms. 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. Experience in Lieu of Education An equivalent combination of education and experience that demonstrates the required competencies may be considered. What to Expect At WGU, our mission drives everything we do, including how we hire. Our interview experience is designed to allow qualified candidates 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. #LI-ML4 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 View email address on click.appcast.io. Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to any protected characteristic as required by law.