IAR Senior 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 310

Pay Range: $91,000.00 - $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 DoPartner 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 work streams 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…