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 310Pay Range: $91,000.00 - $136,400.00

Job Description

You will join a collaborative team of data analysts and data engineering professionals responsible for transforming enterprise data into business-ready information. The team partners closely with executive leaders, finance, operational teams, and academic stakeholders to build trusted reporting, define key performance indicators, and create a consistent source of truth across the organization.

Current initiatives include modernizing enterprise reporting, supporting finance and board-level reporting, enhancing data marts, and improving data alignment across systems to ensure consistent decision-making throughout the university.

What You'll Do

Partner with stakeholders, faculty staff, leaders, and cross-functional teams to understand business needs and translate them into analytics solutions and technical requirements.
Analyze complex data across multiple domains to answer critical business questions, evaluate hypotheses, support research initiatives, and develop forecasts.
Design, build, and maintain reporting, dashboards, data visualizations, and analytical products that drive informed decision-making.
Collaborate with Data Engineering teams to develop and enhance ETL/ELT processes, data pipelines, and scalable data structures.
Identify and resolve complex data quality issues while contributing to standards and best practices that improve enterprise data integrity.
Lead and manage analytics projects from discovery through implementation, communicating progress, risks, dependencies, and recommendations to stakeholders.
Present insights through compelling data storytelling that enables leaders to take deliberate, informed action.

What You'll Bring

Bachelor’s degree in a related discipline.
5 years of related experience in Data Analysis, Business Intelligence, Data Science, Statistics, Decision Intelligence, Research, Learning Science, or Behavioral/Cognitive Psychology.
Advanced SQL proficiency, including queries and subqueries, data modification (INSERT, UPDATE, DELETE), views, joins, filtering, sorting, aggregations, window functions, common table expressions (CTEs), and performance tuning.
Strong experience creating dashboards and visualizations using Tableau, Power BI, or similar business intelligence tools.
Experience translating technical concepts and analytical findings into clear, actionable recommendations for business audiences and senior leaders.
Experience leading projects or workstreams from planning through delivery while managing multiple priorities and stakeholder expectations.
Ability to work independently with a high degree of ownership, curiosity, problem-solving ability, and a bias for action.
Knowledge of data modeling concepts, including conceptual and logical data models, dimensional modeling, star schema, and snowflake schema.
Experience with descriptive statistics, causal analysis, and inference.
Proficiency with Microsoft Office Suite, including advanced Excel skills.
Familiarity with project management methodologies such as Agile, Waterfall, and SDLC.
Experience using flowcharting and diagramming tools such as Miro, Visio, Lucidchart, or similar software.

Bonus Points

Experience working in Databricks environments.
Experience with Genie AI or similar AI-enabled analytics tools.
Experience developing or working with large language model (LLM) solutions or AI-powered data products.

Experience in Lieu of Education

An equivalent combination of training, experience, credentials, or accomplishments demonstrating the ability to perform the essential functions of this job may substitute for education degree requirements.

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.

Hiring manager interview (45 minutes)
Technical/team-fit panel (60 minutes)

Work Location

This is a full-time, in-office position requiring five days per week in our Salt Lake City, Utah 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 [email protected].

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

Senior Data Analyst

IAR

WGU

Compensation Overview

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