Responsibilities
- Own the measurement layer
- Define and operate the core MI metrics with rigorous, transparent, in-house methodology that leadership can trust and query any time
- Build cross-pod performance reporting (PR, social, influencer, podcast, customer excellence) and connect it to campaigns and market themes
- Stand up per-asset attribution so the function can show what converted
- Administer the measurement stack, including onboarding, dashboards, and live MCP access
- Build and maintain the MI Databricks data warehouse
- Collaborate with the web team on AEO/GEO optimization
- Distribute the data
- Pipe MI intelligence back out through TrendIQ so other teams get relevant, timely context
- Partner with Marketing Ops on data-ownership boundaries
Requirements
- 6+ years in marketing analytics, marketing/revenue operations, or data analytics
- Hands‑on with marketing‑measurement platforms (media monitoring / SOV / social analytics)
- Working fluency with a modern data stack (e.g. Databricks or equivalent)
- Strong communicator who turns data into a clear story for senior leaders
- High AI fluency; comfortable with MCP/agentic tooling
- Familiarity with AEO/GEO measurement and SEO/SEM fundamentals
- SQL / analytics‑engineering fluency; dashboarding
Core Competencies
Expertise in marketing analytics and data operations, with a strong focus on measurement methodologies, data storytelling, and cross‑functional collaboration. Proficient in managing modern data stacks and delivering actionable insights through advanced analytics and reporting.
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