Accountabilities

Analyze marketing performance across channels, campaigns, audiences, programs, and geographies to identify performance drivers and improvement opportunities.

Evaluate marketing investment and ROI throughout the acquisition and enrollment funnel, from lead generation and applications to enrollment, student starts, and cost per enrollment.

Advance marketing effectiveness measurement through attribution, incrementality analysis, experimentation, lift studies, geographic testing, and related methodologies.

Lead the development and application of Marketing Mix Modeling to assess channel investment and recommend budget allocation.

Analyze data from digital advertising platforms, including Google Ads and Meta, as well as CRM systems, paid media, organic activity, and other marketing sources.

Translate complex marketing and enrollment data into clear insights, recommendations, and actions for business leaders and cross-functional partners.

Establish and maintain marketing data quality and tracking standards, including channel spend data, UTM parameters, campaign naming conventions, and lead source integrity.

Partner with Marketing to share enrollment outcomes with advertising platforms through offline conversion uploads and conversion APIs, supporting optimization toward applications and student starts.

Analyze the full enrollment funnel and evaluate performance across programs, channels, sources, geographies, partners, and student segments.

Identify opportunities to improve conversion rates, targeting, productivity, and overall enrollment outcomes.

Contribute to enrollment forecasting, lead trend analysis, scenario planning, and cross-functional projects connecting Marketing, Enrollment, and Field performance.

Use Power BI, SQL, and Python or R to query, model, and analyze institutional and marketing datasets.

Investigate data, validate assumptions, test findings, and identify gaps in existing reports or data structures.

Leverage AI and automation to monitor performance, detect anomalies, and trigger timely alerts and actions beyond routine reporting.

Define requirements for new or enhanced reports, measures, dashboards, and data views based on business needs.

Partner with the Institutional Analytics team on shared data models, governance, and Power BI standards while leading the marketing measurement roadmap and metric definitions.

Requirements

Bachelor's degree in Marketing, Business Analytics, Data Analytics, Business, Statistics, or a related field.

At least 7 years of progressively responsible experience in marketing analytics, preferably in organizations with significant marketing investment and complex customer acquisition or conversion funnels.

Experience in higher education, education marketing, enrollment analytics, or another lead-to-conversion environment is preferred.

Demonstrated expertise in marketing performance analysis, customer acquisition, conversion, ROI, attribution, and campaign or channel effectiveness.

Strong understanding of digital marketing metrics, platforms, and data sources, including Google Ads, Meta, CRM systems, and related marketing technologies.

Experience with incrementality measurement, experimentation, lift analysis, multi-touch attribution, and Marketing Mix Modeling strongly preferred.

Solid foundation in applied statistics, including regression analysis, experimental design, A/B testing, and evaluation of marketing and enrollment strategies.

Familiarity with SQL, Python, or R for data analysis, or the ability and willingness to develop proficiency in these tools.

Strong proficiency with business intelligence platforms, with the ability to independently investigate business questions using datasets, dashboards, filters, dimensions, and data views. Power BI experience is preferred.

Ability to translate business questions into appropriate analytical approaches, meaningful insights, recommendations, and practical actions.

Strong communication and presentation skills, including the ability to explain analytical findings to leaders and business partners.

How Jobgether works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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