Data Analytics Manager - Media and Digital Performance

Role summary

Media analysis and reporting

• Analyze paid social, search, programmatic display and video, and influencer amplification using efficiency and effectiveness measures.
• Recommend budget, audience, creative, and channel-mix optimizations; support planning with forecasting, scenario modeling, and historical benchmarks.
• Conduct post-campaign deep dives and analyze performance by country, channel, platform, placement, and creative.
• Present findings to stakeholders, including senior leadership, and codify performance learnings into guidelines.
• Use performance data and incrementality or lift tests for effectiveness analysis, developing toward attribution and media mix modeling.

Data governance and AI workflows

• Define media metrics and KPI definitions; implement a global campaign naming convention and drive compliance across media buys.
• Audit GA4, Google Tag Manager, platform pixel, and UTM tagging and tracking; identify gaps and coordinate fixes.
• Maintain clean, reliable media datasets with the Technology Data team for automated reporting and future modeling.
• Comply with privacy regulations and consent requirements in analysis and data handling.
• Integrate AI into data collection, validation, reporting, and visualization workflows; identify opportunities to improve analytical processes.

Experience and education

• Requires 6–8 years of hands-on media or digital analytics experience and a track record of end-to-end analysis on the client or agency side.
• Requires a bachelor's or master's degree in Media, Marketing, or a relevant field.
• Requires expert hands-on experience with digital media reporting tools and APIs and direct multi-channel paid media analysis experience.

Capabilities and tools

• Requires media optimization experience, understanding of funnel KPIs, and working knowledge of attribution approaches such as incrementality, multi-touchpoint attribution, or media mix modeling.
• Requires strong data storytelling, commercial judgment, independence, attention to detail, and stakeholder management.
• Familiarity with BI tools such as Power BI, Looker, or Tableau and web analytics platforms such as GA4, GTM, or platform pixels is listed; AI workflow automation experience is highly preferred.

Benefits

• Monthly Self Love Days, at company discretion.
• Medical, dental, and vision coverage for the employee and dependents.
• Monthly in-house coaching sessions, employee product discounts, and quarterly product gifting.

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