IAR Senior Data Analyst

About the role

At WGU, data is a catalyst for better outcomes. As an IAR Senior Data Analyst, you will transform complex information into meaningful insights that help leaders make informed decisions, improve operations, and enhance the student experience.

Responsibilities

• Partner with stakeholders across academic delivery, reporting, data engineering, and executive leadership teams to identify analytics needs and translate business questions into technical requirements.
• Develop, maintain, and enhance dashboards, reports, and visualizations that provide actionable insights and support key business decisions.
• Perform complex analyses across multiple data domains to answer strategic business questions, evaluate initiatives, and support planning activities such as quarterly business reviews and operating plans.
• Collaborate with Data Engineering teams on ETL/ELT processes, data pipelines, and data quality initiatives to improve the reliability and accessibility of university data.
• Identify, investigate, and resolve complex data issues while helping establish standards and best practices that improve data quality across the organization.
• Combine data analysis, visualization, and storytelling techniques to communicate findings effectively to technical and non-technical audiences, including executive leadership.
• Drive projects and analytics initiatives with a high degree of autonomy while mentoring peers through knowledge sharing and constructive feedback.

Requirements

• Bachelor’s degree in a related discipline.
• 5 years of related experience in Data Analysis, Business Intelligence, Data Science, Statistics, Decision Intelligence, Research, Learning Science, or Behavioral/Cognitive Psychology.
• Advanced SQL proficiency, including complex queries, subqueries, joins, aggregations, window functions, common table expressions (CTEs), data manipulation, and performance optimization.
• Strong experience building reports, dashboards, and visualizations using Tableau.
• Experience working with analytics engineering concepts, ETL/ELT processes, data pipelines, and data quality initiatives.
• Ability to read, understand, and work with PySpark code in support of analytics and data engineering efforts.
• Experience communicating complex insights to partners, stakeholders, and senior leaders through presentations, meetings, workshops, and written communications.
• Knowledge of data modeling concepts including conceptual, logical, dimensional, star schema, and snowflake schema design.
• Experience with descriptive statistics, causal analysis, and inference.
• Proficiency with Microsoft Office applications, including advanced Excel.
• Familiarity with project management methodologies such as Agile, Waterfall, or SDLC frameworks.
• Able to perform with a high level of autonomy, reliability, self-direction, and sound judgment while balancing multiple priorities.

Qualifications

• Experience with Databricks.
• Experience developing solutions in Power BI.
• Exposure to Databricks Genie or other AI-assisted coding and analytics tools.
• Experience using Jira, Confluence, Miro, Visio, Lucidchart, or similar collaboration and diagramming platforms.
• Previous experience supporting executive reporting, strategic planning, or high-visibility business reviews.

Skills

• Advanced SQL proficiency.
• Tableau experience.
• Data modeling skills.
• Project management experience.
• Communication skills.
• Collaboration skills.
• Problem-solving skills.

Benefits

Full-time, in-office position requiring five days per week in our Salt Lake City, Utah office, designed to foster the collaboration and connection that fuel our best work.

Pay

$91,000.00 - $136,400.00

Schedule

Full-time, in-office position requiring five days per week in our Salt Lake City, Utah office.