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 - $136,400.00 Job Description At WGU, data plays a critical role in advancing student success and driving informed decision-making across the university. As a Senior Data Analyst, you will serve as a trusted analytics partner, translating complex data into actionable insights that influence strategy, improve operations, and support university-wide initiatives. This role is ideal for an experienced analytics professional who enjoys solving business problems, building scalable reporting solutions, and helping stakeholders make confident, data-driven decisions.

Partner with business leaders, faculty, and cross-functional teams to understand business needs, translate user stories into technical requirements, and deliver analytics solutions that drive action. Answer complex business questions by leveraging data from multiple domains and identifying the most appropriate data sources to support analysis, forecasting, research, and experimentation. Design, develop, maintain, and optimize dashboards, reports, and business intelligence solutions that provide meaningful insights to stakeholders. Collaborate with Data Engineering teams to support the development of data pipelines, ETL/ELT processes, and scalable analytics solutions. Analyze and investigate complex data issues, improving the accuracy, consistency, completeness, and reliability of university data assets. Communicate findings through compelling data storytelling, visualizations, presentations, and recommendations that influence decision-making. Contribute to data governance, documentation, data modeling, and the continuous improvement of analytics tools, standards, and best practices.

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 experience with complex queries, subqueries, joins, aggregations, common table expressions (CTEs), window functions, performance tuning, views, and data modification statements. Proficiency in Python or R, with the ability to automate, transform, analyze, and manage data workflows. Strong experience building, managing, and maintaining business intelligence solutions, dashboards, and reporting environments. Experience translating analytical findings into business recommendations and guiding stakeholders through strategic decisions and improvement opportunities. Ability to work independently, manage multiple priorities, and drive projects forward with a high degree of ownership and accountability. Experience