Wgu
Senior Marketing Analyst, Salt Lake City, UT
Salt Lake City, UT · Senior · Full-time
Sponsorship not specified$75k-$113kDetected 2 days ago
PythonSQLDatabricksMachine LearningData AnalysisData ScienceData VisualizationNLPStatisticsA/B TestingProject ManagementSEOSEMMarketing AnalyticsForecastingResearchLeadershipMentoringPublic Speaking
About the role
- Whatever your role, working for WGU gives you a part to play in helping students graduate, creating a better tomorrow for themselves and their families.
- The analyst operates with limited oversight, influences senior leadership, and elevates data enablement and governance across the organization.
- This role leverages labor market intelligence (e.g., Lightcast) and data visualization (e.g., Tableau) to inform strategic decisions across marketing, enrollment, and academic program development.
Responsibilities
- The Senior Marketing Analyst is a senior-level digital and marketing analytics professional responsible for translating complex marketing, enrollment, and student data into actionable insights that drive measurable growth.
- This role partners cross-functionally to improve applicant conversion, marketing effectiveness, website experience, and strategic prioritization.
- This individual leads quantitative and qualitative analysis across digital, marketing, and enterprise data environments to uncover root causes, identify performance opportunities, and drive continuous optimization.
- Develop executive-ready research briefs and presentations that influence senior decision-making.
- Design and evaluate A/B and multivariate testing from hypothesis development through post-test analysis.
- Query and analyze datasets to support business insights using appropriate tools and data sources.
- Support forecasting, predictive modeling, and advanced analytics initiatives as needed.
Requirements
- Knowledge, Skills, and Abilities
- 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.
- Ability to translate complex data into clear, actionable insights for technical and non-technical audiences.
- 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.
- Strong marketing analytics knowledge including attribution, digital performance metrics, and conversion optimization.
- Strong stakeholder facilitation and influence skills.
- Ability to manage multiple priorities and operate effectively in a fast-paced environment.
- Education
- Bachelor's degree in analytics, statistics, economics, mathematics, data science, or related field
- Experience
Nice to have
- 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.
- Familiarity with SEO/SEM performance analysis.
- Broad understanding of project management methodologies.
- Position & Application Details
Compensation
- $75,200.00 - $112,700.00
Equal opportunity
- All qualified applicants will receive consideration for employment without regard to any protected characteristic as required by law.
- Accommodations: Applicants with disabilities who require assistance or accommodation during the application or interview process should contact our Talent Acquisition team at recruiting@wgu.edu.
- Applicants with disabilities who require assistance or accommodation during the application or interview process should contact our Talent Acquisition team at recruiting@wgu.edu.
This listing is sourced directly from Wgu's careers page and normalized into a canonical job model.