Senior Data Analyst

Western Governors University; Salt Lake City (UT); On-site; USD 75,000 - 113,000; Full time

Benefits offered by this job

Discounted tuition

Job summary

Western Governors University is seeking a Senior Data Analyst to extract, process, and report data, delivering rigorous insights to cross-functional teams. You will build dashboards, engage with stakeholders, and translate requirements into actionable data products.

The role emphasizes data storytelling, collaboration with Data Engineering, and improving data quality across the university. A Bachelor’s degree and 5 years of relevant experience are expected.

Qualifications

• Advanced SQL proficiency with complex queries and performance tuning.
• Experience using BI tools to build data visualizations and reports.
• Understanding of dimensional models, star/snowflake schemas, and data warehousing concepts.
• Proficiency with MS Excel and overall MS Office.
• Familiarity with SDLC, Agile, or Waterfall project management.

Responsibilities

• Document analytics needs for complex cross-functional projects with a student-centered lens.
• Translate user stories into technical data requirements and specifications.
• Develop data pipelines, ETL/ELT processes, and data quality checks.
• Create and maintain data dictionaries, catalogs, and documentation.

Skills

Advanced SQL

Tableau

Power BI

Data modeling

Excel

MS Office

Flowchart tools

Analytical thinking

Project management

Communication

Education

Bachelor's degree in a related discipline

Tools

Tableau

Power BI

Visio

Lucidchart

Miro

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 308

Pay Range: $75,200.00 - $112,700.00

Job Description

The 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.

Primary Responsibilities

• Drives the documentation of data and analytics needs in projects of high complexity with a student and equity-centered lens, collaborating with peers, cross-functional partners, faculty staff, and leaders.
• Translates of user stories into technical requirements.
• Answers complex business questions requiring extensive knowledge of the university’s data assets across several domains and departments.
• Identifies adequate data sources and data sets to evaluate hypotheses, build forecasts, and support findings of research projects and experiments.
• Collaborates with Data Engineering in the development of complex 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.
• Collaborates with Data Engineering and other data & analytics partners to define standards and best practices that increase data quality across the university.
• Combines data analysis, visualization, and narrative structures to convey information in compelling ways that instigate deliberate action.
• Conveys information effectively to peers, partners, and senior leaders, using a variety of resources and formats (synchronous and asynchronous, verbal and written) such as e-mails, presentations, meetings, and workshops.
• Creates and organizes information about processes, projects, operations, data assets, and insights from analyses and research, making it accessible in ways that increase the university’s knowledge and efficiency.
• Writes and interprets technical documentation (e.g., Entity-Relationship, Conceptual, Logical, and Physical data models).
• Contributes actively to the development of the university’s data management platforms (e.g., data dictionaries, catalogs, etc.).
• Supports and accelerates other team members’ development through constructive feedback and sharing of technical and institutional knowledge.
• Drives tasks, activities, and small-scale projects with high levels of autonomy, confidence, and collaboration with peers and partners.
• Tracks and reports own progress, dependencies, and challenges diligently. Breaks down complex goals into concrete tasks and activities.
• Works actively to improve own skills and knowledge through internal and external, formal and informal, structured and unstructured learning. Is a lifelong learner and embodies a growth mindset. Stays abreast of innovative developments in their area of work and plays an active role in deploying them at the university.
• Understands and abides by the relevant policies and methods to access, use, transform, store, and delete data in responsible, secure, and compliant ways.
• Performs other job-related duties as assigned.

This job description includes a general representation of job requirements rather than a comprehensive inventory of all required responsibilities or work activities. The contents of this document or related job requirements may change at any time with or without notice.

Qualifications

Knowledge, Skills, and Abilities

• Advanced SQL proficiency, with experience writing queries and subqueries, modifying data, creating views, and knowledge of different join types, filtering, sorting, aggregation, window functions, common table expressions (CTE), and performance tuning.
• Highly proficient and experienced in using tools like Tableau and Power BI to present data and information utilizing charts, graphs, and maps, in ways that make it easy to understand trends, patterns, and outliers.
• Ability to interpret and design models that describe how data relate to one another, and to the properties of the real-world entities they represent. Understands conceptual and logical data modeling, and has experience with dimensional models, star schema, and snowflake schema.
• Comfortable with common project management methodologies and frameworks (e.g., Waterfall, Agile, SDLC).
• Proficient in MS Office suite, including advanced Excel knowledge.
• Proficient in flowchart and diagramming tools like Miro, Visio, Lucidchart, and similar applications.
• Familiarized with the university’s most relevant KPIs, the drivers that affect them, and plays an active role in their definition and tracking.
• Ability to apply sound judgment, systems-thinking, and analytical skills to assess risks, perform root‑cause analyses, make recommendations, and drive cross-functional decisions that contribute to the achievement of the university’s objectives.
• Ability to perform with a very high level of autonomy, reliability, self‑direction, and with a bias for action. Manages conflicting and concurrent activities with minimal need for supervision.

Education

• Bachelor's degree in a related discipline

Experience

• 5 years of related experience in Data Analysis, Business Intelligence, Data Science, Statistics, Decision Intelligence, Research, Learning Science, or Behavioral/Cognitive Psychology.

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.

Travel

This position requires occasional travel of up to 20%, including required attendance at designated company summits (typically one to two per year). Additional travel may include conferences, visits to company locations, and other business-related events as needed. Additional travel may be assigned as needed to support business requirements.

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.

Additional Information

Disclaimer: The job posting highlights the most critical responsibilities and requirements of the job. It’s 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 [e-mail].

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