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

• Experience using labor market intelligence platforms (e.g., Lightcast/Burning Glass) for market sizing, skills analysis, and program opportunity identification.
• Advanced proficiency in Tableau for dashboard development, data visualization, and executive reporting.
• Advanced analytics expertise including regression, hypothesis testing, inferential statistics, forecasting, and predictive modeling.
• Strong marketing analytics knowledge including attribution, digital performance metrics, and conversion optimization.
• Ability to translate complex data into clear, actionable insights for technical and non-technical audiences.
• Strong stakeholder facilitation and influence skills.
• Ability to manage multiple priorities and operate effectively in a fast-paced environment.
• Experience with SQL or similar tools for data querying and analysis.
• Familiarity with Databricks or enterprise data platforms.
• Working knowledge of Python or R for advanced analytics, statistics, or automation.

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.
• Familiarity with SEO/SEM performance analysis.
• Broad understanding of project management methodologies.

Benefits

• bonuses
• 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
• retirement savings plan
• wellbeing program
• discounted WGU tuition
• flexible paid time off for rest and relaxation with no need for accrual