IAR Senior Data Analyst

Western Governors University•Salt Lake, UT

3d•Onsite

About The Position

You will join a collaborative team of data analysts and data engineering professionals responsible for transforming enterprise data into business-ready information. The team partners closely with executive leaders, finance, operational teams, and academic stakeholders to build trusted reporting, define key performance indicators, and create a consistent source of truth across the organization. Current initiatives include modernizing enterprise reporting, supporting finance and board-level reporting, enhancing data marts, and improving data alignment across systems to ensure consistent decision-making throughout the university.

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 queries and subqueries, data modification (INSERT, UPDATE, DELETE), views, joins, filtering, sorting, aggregations, window functions, common table expressions (CTEs), and performance tuning.
Strong experience creating dashboards and visualizations using Tableau, Power BI, or similar business intelligence tools.
Experience translating technical concepts and analytical findings into clear, actionable recommendations for business audiences and senior leaders.
Experience leading projects or workstreams from planning through delivery while managing multiple priorities and stakeholder expectations.
Ability to work independently with a high degree of ownership, curiosity, problem-solving ability, and a bias for action.
Knowledge of data modeling concepts, including conceptual and logical data models, dimensional modeling, star schema, and snowflake schema.
Experience with descriptive statistics, causal analysis, and inference.
Proficiency with Microsoft Office Suite, including advanced Excel skills.
Familiarity with project management methodologies such as Agile, Waterfall, and SDLC.
Experience using flowcharting and diagramming tools such as Miro, Visio, Lucidchart, or similar software.

Nice To Haves

Experience working in Databricks environments.
Experience with Genie AI or similar AI-enabled analytics tools.
Experience developing or working with large language model (LLM) solutions or AI-powered data products.

Responsibilities

Partner with stakeholders, faculty staff, leaders, and cross-functional teams to understand business needs and translate them into analytics solutions and technical requirements.
Analyze complex data across multiple domains to answer critical business questions, evaluate hypotheses, support research initiatives, and develop forecasts.
Design, build, and maintain reporting, dashboards, data visualizations, and analytical products that drive informed decision-making.
Collaborate with Data Engineering teams to develop and enhance ETL/ELT processes, data pipelines, and scalable data structures.
Identify and resolve complex data quality issues while contributing to standards and best practices that improve enterprise data integrity.
Lead and manage analytics projects from discovery through implementation, communicating progress, risks, dependencies, and recommendations to stakeholders.
Present insights through compelling data storytelling that enables leaders to take deliberate, informed action.