Marketing Manager for Meta Ads handling strategic planning and optimization of performance campaigns. Collaborating with various teams to enhance Meta Advertising effectiveness and budget management.
About the role
- Manager in Marketing Science & Insights for Mars driving marketing effectiveness through data science and analytics to influence strategic business decisions.
Responsibilities
- 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
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