Responsibilities

• Translate complex business questions into structured analytics roadmaps tied to measurable outcomes.
• Uncover root causes and synthesize large, complex datasets into clear findings and recommendations.
• Identify and apply appropriate statistical methodologies (e.g., regression, hypothesis testing, forecasting, predictive modeling).
• Develop executive-ready research briefs and presentations that influence senior decision-making.
• Anticipate business needs and proactively surface growth and optimization opportunities.
• Leverage labor market intelligence tools (e.g., Lightcast/Burning Glass) to analyze total addressable market, skills demand, and program alignment opportunities.
• Analyze end-to-end prospective student journeys across web and marketing channels.
• Improve applicant conversion through funnel analysis and behavioral insights.
• Design and evaluate A/B and multivariate testing from hypothesis development through post-test analysis.
• Evaluate marketing attribution and campaign performance to guide investment decisions.

Requirements

• 5+ years of progressive analytics experience.
• Bachelor’s degree in analytics, statistics, economics, mathematics, data science, or related field
• Experience with SQL or similar tools for data querying and analysis.
• Experience with labor market intelligence platforms (e.g., Lightcast/Burning Glass).
• Advanced proficiency in Tableau for dashboard development, data visualization, and executive reporting.
• Familiarity with Databricks or enterprise data platforms.
• Working knowledge of Python or R for advanced analytics, statistics, or automation.
• Experience with data analysis and storytelling, presenting insights to senior stakeholders.

Preferred

• Master’s degree in analytics, statistics, economics, mathematics, data science, or related field.
• Experience with Adobe Analytics; familiarity with Adobe Audience Manager.
• Experience with enterprise data environments or platforms (e.g., Databricks).
• Experience with SQL for querying and analyzing datasets.
• Experience building predictive or machine learning models.

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; and 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.