Advance Marketing Measurement and Analytics
Develop and apply robust marketing measurement frameworks to evaluate marketing effectiveness across channels, improving methodologies to ensure credible and actionable outputs.
Generate Strategic Insights to Inform Business Decisions
Analyze complex consumer, media, and commercial data to identify growth opportunities, performance drivers, and risks, translating findings into clear insights for marketing planning.
Support the Development of Integrated Intelligence
Integrate insights from analytics, research, and market intelligence to build a comprehensive understanding of consumer behavior and market dynamics.
Drive Analytical Rigor and Best Practices
Apply strong analytical discipline in statistical methods, experimentation design, and modeling to maintain high standards of rigor and transparency.
Partner with Cross-Functional Stakeholders
Collaborate with marketing, insights, media, and finance teams to embed analytics into decision-making processes and communicate findings effectively.
Support Data Science and Engineering for PESO Marketing
Contribute to data science efforts supporting paid, earned, shared, and owned media (PESO), including working with agentic AI and digital twins to measure social media impact.
Translate Technical Analytics for Business Stakeholders
Simplify complex mathematical and computational algorithms into business-friendly language and presentations.
Data Extraction and Reporting
Perform data pulls and create compelling PowerPoint decks; experience with PowerBI or Tableau is a plus.

Requirements

Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Economics, Data Science, or related discipline; advanced degree (Master’s or PhD) is a plus.
Minimum of 5 years of relevant experience in marketing analytics, data science, or related roles, preferably within consumer brands or enterprise environments.
Strong analytical and modeling expertise, including marketing measurement, experimentation, econometrics, or advanced statistical analysis.
Proficiency in Python for analyzing complex datasets.
Ability to translate complex analytics into clear business recommendations that influence marketing investment and strategy.
Experience working with large, multi-source datasets, including consumer, media, and commercial performance data.
Collaborative leadership skills with demonstrated ability to partner across marketing, insights, media, and finance teams.
Excellent communication skills, including the ability to create coherent PowerPoint presentations quickly for senior stakeholders.
Bonus: Experience with causal inference frameworks; exposure to machine learning or advanced predictive modeling techniques; experience working with enterprise analytics environments or large consumer brands.

Benefits

variable pay
medical and dental benefits
participation in 401k plan
paid time off

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

marketing measurementanalyticsstatistical methodsexperimentation designmodelingPythoneconometricsadvanced statistical analysisdata extractiondata reporting

Soft Skills

analytical disciplinecollaborative leadershipcommunication skillsability to simplify complex conceptspartnering with stakeholderstranslating analytics into business recommendationscreating presentationsinsight generationdecision-making supportstrategic thinking

Certifications

Bachelor’s degree in StatisticsBachelor’s degree in MathematicsBachelor’s degree in EconomicsBachelor’s degree in Data ScienceMaster’s degreePhD