Senior Data Analyst Outreach Analytics

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profile Job Location:

Salt Lake, UT - USA

profile Monthly Salary: $ 88300 - 132400
Posted on: Yesterday
Vacancies: 1 Vacancy

Job Summary

If youre passionate about building a better future for individuals communities and our countryand youre committed to working hard to play your part in building that futureconsider 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: $88300.00 - $132400.00

Job Description

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 WGUturning 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 datainformed decisionmaking. Our analysts scientists researchers and managers partner closely with academic operational and technology teams to improve student outcomes and advance WGUs 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 impactensuring insights lead to action.

The Role: Senior Data Analyst

As a Senior Data Analyst Outreach Analytics you will lead complex analyses answer highimpact business questions and deliver insights that guide outreach and enrollment strategy. Youll work with large multisource datasets; build reports and visualizations; and collaborate closely with partners across IAR Data Engineering Marketing and Enrollment. This role requires strong analytical judgment advanced SQL expertise and the ability to translate data into compelling stories that accelerate decisionmaking.

What Youll 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 nontechnical audiences

What You Bring

  • Bachelors 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

Bonus if You Have

  • 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

Experience in lieu of education

An equivalent combination of training experience credentials or accomplishments demonstrating the ability to perform the essential functions of this job may substitute for education degree requirements.

Work Location

This is a fulltime inoffice position at WGUs headquarters in Salt Lake City UT. Youll work alongside a multidisciplinary team of analysts researchers and educators committed to datainformed innovation and student success

What to Expect
At WGU our mission drives everything we doincluding how we hire. Our interview experience is designed to give qualified candidates the opportunity to show their best work through meaningful conversations practical problem-solving and authentic collaboration.

We thoughtfully review every application and invite forward the candidates whose experience and potential best align with the role and our mission. If selected youll hear from a recruiter or hiring manager who will guide you through the process and help you know what to expect at each stage.

We aim to communicate decisions promptly and respectfully.

Heres what that typically looks like:

  • Introductory call (30 minutes): Well walk you through who we are at WGU and learn about your relevant experience.
  • Hiring manager interview (45 minutes)
  • Technical interview (45 minutes)

Were looking forward to getting to know you and seeing how you think collaborate and build. Welcome to WGU.

#LI-FP1

Position & Application Details

Full-Time Regular Positions (classified as regular and working 40 standard weekly hours): This is a full-time regular position (classified for 40 standard weekly hours) that is eligible for bonuses; medical dental vision telehealth and mental healthcare; health savings account and flexible spending account; basic and voluntary life insurance; disability coverage; accident critical illness and hospital indemnity supplemental coverages; legal and identity theft coverage; retirement savings plan; wellbeing program; discounted WGU tuition; and flexible paid time off for rest and relaxation with no need for accrual flexible paid sick time with no need for accrual 11 paid holidays and other paid leaves including up to 12 weeks of parental leave.

How to Apply: If interested an application will need to be submitted online. Internal WGU employees will need to apply through the internal job board in Workday.

Additional Information

Disclaimer: The job posting highlights the most critical responsibilities and requirements of the job. Its not all-inclusive.

Accommodations: Applicants with disabilities who require assistance or accommodation during the application or interview process should contact our Talent Acquisition team at

Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to any protected characteristic as required by law.


Required Experience:

Senior IC

If youre passionate about building a better future for individuals communities and our countryand youre committed to working hard to play your part in building that futureconsider WGU as the next step in your career.Driven by a mission to expand access to higher education through online competency-b...
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Key Skills

  • Databases
  • Data Analytics
  • Microsoft Access
  • SQL
  • Power BI
  • R
  • Tableau
  • Data Management
  • Data Mining
  • SAS
  • Data Analysis Skills
  • Analytics