Senior Data Analyst - Curriculum Analytics

Western Governors University•Salt Lake City, UT

2d•Onsite

About The Position

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. Want to use your data skills to improve how thousands of students learn? At WGU, data drives decision-making—from course design to student support. As a Senior Data Analyst on our Curriculum Analytics team, you’ll build tools, analyses, and visualizations that uncover what’s working and what’s not—so our students get what they need, when they need it. About the Curriculum Analytics Team We use WGU’s rich data assets to track curriculum performance, identify equity gaps, and support continuous improvement. Our focus is clear: help learners progress with confidence. We combine statistical rigor with meaningful impact—and believe every insight should lead to action. Senior Data Analyst Role The IAR Senior 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, Program Development, and Data Engineering. They perform ad hoc analyses, build and maintain standard reports and data visualizations, and deliver information and insights through various methods and media that privilege data storytelling and compress time-to-action.

Requirements

Bachelor’s degree in a related field
5+ years of experience in data analysis, institutional research, or applied analytics
Expert SQL skills including joins, CTEs, aggregation, performance tuning, and data transformation
Experience using Tableau or Power BI to build reports and identify patterns
Working knowledge of forecasting methods and causal analysis
Clear communicator who translates data into narratives that prompt action

Nice To Haves

Experience with Python or R
Familiarity with curriculum development, higher education, or learner success analytics
Exposure to data management platforms (e.g., catalogs, dictionaries) and analytics documentation standards

Responsibilities

Analyze course-level performance to surface improvement opportunities and equity gaps
Build dashboards and reports in Tableau or Power BI for internal academic and product teams
Translate business and academic needs into clear technical requirements
Use SQL to manage and extract insights from complex, multi-source data environments
Partner with Data Engineering to resolve data quality issues and optimize pipelines
Present findings to cross-functional teams and leadership, adapting to technical and non-technical audiences
Document logic, sources, and insight history to support transparency and scale