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About the Role

As a Data Analyst on the Learning Program Analytics team, you will leverage large-scale datasets to evaluate program effectiveness and enhance student success. You will collaborate with cross-functional teams to transform complex data into actionable insights using rigorous analytical methods.

Responsibilities

• Analyze large datasets to uncover trends and deliver actionable insights that inform program development and student engagement strategies
• Build, maintain, and enhance dashboards and data visualizations, including consolidating and improving existing reporting assets
• Translate stakeholder needs into technical requirements and deliver clear, data-driven solutions
• Partner with Data Engineering to support ETL and data pipeline development
• Perform ad hoc analyses and communicate findings through compelling data storytelling
• Identify and resolve data quality issues to ensure accuracy and reliability of insights
• Apply descriptive statistics and analytical methods to identify patterns and support sound conclusions
• Document methodology, sources, and insight history to support transparency and reproducibility
• Understand and apply relevant data governance and security policies to access, use, and store data responsibly
• Collaborate with cross-functional teams including Program Development, Product, and Decision Intelligence to support key initiatives
• Build toward greater autonomy in driving tasks and small-scale projects, with growing independence in tracking progress and navigating dependencies

Requirements

• Bachelor's degree in a related discipline
• 3 years of related experience in Data Analysis, Business Intelligence, Data Science, Statistics, Decision Intelligence, Research, Learning Science, or Behavioral/Cognitive Psychology
• Strong SQL skills and experience querying large datasets
• Experience with Tableau or Power BI for data visualization
• Experience working with ETL or ELT processes and data pipelines
• Solid working knowledge of descriptive statistics and analytical methods, with the ability to apply them to real-world datasets to identify trends and support data-driven conclusions
• Ability to apply sound judgment and analytical thinking to identify root causes of data issues and inform recommendations
• Experience working with large-scale datasets containing millions of records
• Familiarity with Databricks or similar data platforms
• Experience contributing to dashboard optimization or consolidation projects
• Proficiency in a programming language such as Python or R
• Exposure to GitHub and analytics documentation standards

Skills

• Data Analysis
• Business Intelligence
• Data Science
• Statistics
• Decision Intelligence
• Research
• Learning Science
• Behavioral/Cognitive Psychology
• SQL
• Tableau
• Power BI
• ETL
• ELT
• Data Pipelines
• Descriptive Statistics
• Analytical Methods
• Python
• R
• GitHub

Location

• Salt Lake City, UT

Work Type

• Full-time
• In-office

Experience Level

• 3 years of related experience

Education Level

• Bachelor's degree

Salary/Compensations

• $75,200.00 - $112,700.00

Benefits

• Medical
• Dental
• Vision
• Telehealth
• Mental healthcare
• Health savings account
• 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
• Flexible paid time off
• Flexible paid sick time
• 11 paid holidays
• Other paid leaves
• Up to 12 weeks of parental leave

About the Company

• 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.

Equal Opportunity

• All qualified applicants will receive consideration for employment without regard to any protected characteristic as required by law.