Lead Data Analyst - Curriculum Analytics
About The Position
Looking for a role where your data work drives real-world change? At WGU, we serve over 190,000 students through an innovative, online, competency-based model. But behind every graduation is a team of analysts, researchers, and data scientists who make the student experience smarter, faster, and more equitable. As a Lead Data Analyst on the Curriculum Analytics team, you won’t just analyze—you’ll lead. You’ll shape metrics, mentor teammates, and help steer curriculum strategy using actionable insights grounded in student data. About the Curriculum Analytics team: We use WGU’s rich data infrastructure to build tools and metrics that help design better courses and guide student support. Our work blends data science with purpose—we value curiosity, rigor, and a deep focus on student impact. Why this role matters: You’ll be at the center of how WGU measures, improves, and scales curriculum effectiveness. Our team creates data products that monitor course performance, guide personalized learning pathways, and help faculty and academic partners make evidence-based decisions. If you love solving hard problems, turning data into stories, and mentoring others in a mission-driven environment, this is your role.
Requirements
- Bachelor’s degree in a related field
- 7+ years of experience in data analysis, applied analytics, or data science
- Experience with Python or R
- Advanced SQL skills (joins, CTEs, window functions, performance tuning)
- Proficiency in Tableau or Power BI for data visualization and reporting
- Experience in descriptive statistics, forecasting, regression, and causal inference
- Strong communication skills with a track record of translating insights into action
Nice To Haves
- Familiarity with higher education or edtech analytics
- A systems-thinking mindset and a learner’s approach to leadership
- Experience in lieu of education
Responsibilities
- Lead complex analyses that uncover student outcomes and curriculum insights
- Translate business needs into technical requirements and project plans
- Develop dashboards, forecasts, and models that surface trends and outliers
- Present findings to senior leaders, cross-functional partners, and faculty
- Mentor other analysts and contribute to team strategy and operational planning
- Collaborate with Data Engineering on pipelines, quality standards, and documentation
- Advocate for equity, clarity, and purpose in every analysis
- Bring data storytelling to life—compressing time-to-action and driving institutional learning
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, and other paid leaves, including up to 12 weeks of parental leave
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
