Data Analyst - Institutional Research and Analytics (IAR)
About The Position
If you're energized by solving complex problems, uncovering insights in data, and helping leaders make better decisions, this role offers the opportunity to make a measurable impact. We are seeking a curious, driven Data Analyst who can transform data into actionable intelligence and help accelerate decision-making through analytics, forecasting, and compelling data storytelling. As a Data Analyst on the Institutional Research & Analytics team, you will partner with stakeholders across analytics, product, technology, finance, and academic functions to deliver meaningful insights that inform strategy and improve outcomes. You'll leverage data to answer complex business questions, develop scalable reporting solutions, and help drive a culture of evidence-based decision making.
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.
- Advanced SQL proficiency, including experience with queries and subqueries, joins, aggregation, window functions, common table expressions (CTEs), views, data manipulation (INSERT, UPDATE, DELETE), and performance optimization.
- Experience using Tableau, Power BI, or similar business intelligence tools to develop impactful dashboards and visualizations.
- Strong analytical, problem-solving, and critical-thinking skills with the ability to synthesize complex information into clear recommendations.
- Knowledge of relational databases, data modeling concepts, and descriptive statistical methods.
- Ability to manage multiple priorities independently while demonstrating sound judgment, accountability, and a bias for action.
- Proficiency with Microsoft Office applications, including advanced Excel capabilities.
Nice To Haves
- Experience presenting analyses and recommendations to executive leaders.
- Project management experience, including exposure to Agile, Waterfall, SDLC, or related methodologies.
- Experience with forecasting, KPI development, data modeling, or supporting ETL processes.
- Background demonstrating exceptional academic achievement, professional growth, or a successful transition into analytics from another discipline.
Responsibilities
- Partner with stakeholders to understand business challenges, document analytics requirements, and translate user stories into technical solutions.
- Extract, clean, transform, and analyze data from multiple sources to evaluate hypotheses, identify trends, and generate actionable insights.
- Design, build, and maintain dashboards, reports, and visualizations using tools such as Tableau and Power BI.
- Collaborate with Data Engineering teams on ETL/ELT processes, data pipelines, and data quality initiatives.
- Identify, investigate, and resolve data issues while helping ensure the accuracy, consistency, and reliability of institutional data assets.
- Communicate findings through data storytelling, presentations, workshops, and written deliverables tailored to technical and non-technical audiences.
- Support forecasting, KPI development, and strategic initiatives through thoughtful analysis and recommendations.
Benefits
- 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
- 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
- other paid leaves, including up to 12 weeks of parental leave
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
