Manager, Performance Analytics - PC
- Manage the implementation of media measurement frameworks, ensuring proper setup and reporting for campaigns, ROI analysis, attribution, and evaluation of campaign effectiveness.
- Collaborate with a team of analysts and internal stakeholders (e.g., Marketing, Customer Development, Data Engineering) and external partners/agencies.
- Work across teams to advance the automation and visualization of media performance data, ensuring timely delivery of actionable insights to stakeholders.
- Guide the development of predictive models and advanced analytics solutions for media mix optimization, audience segmentation, and channel performance.
- Champion the adoption of new tools, methodologies, and best practices in media analytics.
- Manage relationships with research and media agencies, ensuring alignment on KPIs and learning agendas.
- Present complex findings to senior leadership, translating analytics into clear business narratives and recommendations.
- Works closely with Data Engineering (for data and dashboards) and Advanced Analytics (for methodology and experimentation). Does not own data pipeline development or statistical model design.
- 6+ years in media analytics, marketing science, or related fields (consumer goods experience preferred).
- Demonstrated leadership of analytics teams and cross-functional projects.
- Strong understanding of media measurement, ROI modeling, and campaign analytics.
- Well-versed in major media platforms such as Google, Meta, TikTok, and others, with hands-on experience leveraging these channels for campaign execution and optimization.
- Hands-on experience
- Excellent storytelling, communication, and stakeholder management skills.
- Familiarity with syndicated and retailer data (e.g., Nielsen, Vivvix, Pathmatics, Circana) is a plus.
- Understanding of the evolving retail media landscape, including Amazon/AMC, Walmart Connect, and Target/Roundel
- Understanding of digital marketing measurement tools (e.g., MMM, Attribution, Brand Health, Lift/Incrementality Testing, Data Clean Rooms)
- Advanced proficiency with data visualization (Power BI, Tableau), cloud data platforms (Azure, AWS, GCP), and analytics tools (SQL, Python, Databricks)
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