Data Scientist - Outreach Analytics
Listed on 2026-01-24
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IT/Tech
Data Engineer, Data Analyst, Data Scientist
life insurance, flexible benefit account, parental leave, paid time off, paid holidays, sick time
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:
Technical 406
Pay Range: $95,900.00 - $
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:
Technical 406
Pay Range: $95,900.00 - $
Job Duties
- Documents data and analytics needs in projects of medium/high complexity with a student and equity-centered lens, collaborating with peers, cross-functional partners, faculty staff, and leaders. Translates user stories into technical requirements.
- Sets and manages expectations about analytics tasks and activities through clear, timely, and effective communication with partners and stakeholders.
- Identifies adequate data sources and data sets to evaluate hypotheses and produce forecasts.
- Analyzes large data sets from both structured and unstructured sources and develops statistical and predictive models.
- Collaborates with Data Engineering in the development of ETL/ELT processes and data pipelines.
- Identifies, investigates, and solves complex data issues, contributing to the accuracy, completeness, consistency, timeliness, and validity of the university's data.
- Utilizes software, scripts, and algorithms to perform complex data-related tasks (e.g., importing, cleaning, transforming, analyzing, displaying) without human intervention.
- Combines data analysis, visualization, and narrative structures to convey information in compelling ways that instigate deliberate action.
- Selects and deploys a variety of mathematical models, forecasting methods (e.g., time series, inferential, regression), descriptive statistics, and/or classification algorithms to make predictions and identify relationships based on limited sets of data.
- Conv…
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