Senior Data Analyst - Outreach Analytics
Listed on 2026-02-16
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IT/Tech
Data Analyst, Data Science Manager
Job Description
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: $88,300.00 - $
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, 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.
What if your analysis helped more people access a college education? At WGU, data plays a critical role in expanding access, improving equity, and driving innovation.
As a Senior Data Analyst on the Outreach Analytics team, your work will directly influence how prospective students discover, engage with, and enroll at WGU-turning data into insights that shape strategy and outcomes at scale.
The Institutional Analytics and Research (IAR) department supports teams across the university by delivering rigorous analysis, research, and insights that enable data-informed decision making. Our analysts, scientists, researchers, and managers partner closely with academic, operational, and technology teams to improve student outcomes and advance WGU's mission.
The Outreach Analytics team operates at the intersection of marketing, enrollment, and regional operations. We transform customer journey data into actionable insights that inform campaign strategy, improve performance, and help more students find the right path to education. Our work emphasizes clarity, equity, and impact-ensuring insights lead to action.
What You'll Do- Lead complex analyses to answer strategic business questions across outreach, marketing, and enrollment domains
- Write advanced SQL to extract, transform, and analyze data from large, multidomain data sets
- Build and maintain dashboards and reports using Tableau or Power BI to surface trends and insights
- Partner with Data Engineering to develop and improve ETL/ELT pipelines, data quality standards, and analytics best practices
- Communicate insights clearly through data storytelling, presentations, and written deliverables to technical and non‑technical audiences
- Bachelor's degree in a related discipline
- 5+ years of experience in Data Analytics
- Advanced SQL proficiency (joins, CTEs, window functions, performance tuning, data transformation)
- Advanced proficiency building reports and dashboards using Tableau or Power BI
- Strong experience with descriptive statistics, causal analysis, and inference
- Experience in marketing, outreach, enrollment, or customer journey analytics
- Familiarity with data modeling concepts (dimensional models, star/snowflake schemas)
- Experience mentoring or supporting the development of other analysts
An…
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