Marketing Strategy And Analytics Manager

Responsibilities

Strategy and Analytics Partnership

• Act as a trusted analytics advisor to global and regional marketing leaders.
• Translate business questions into analyses that shape budget, channel, and campaign decisions.

Media Mix Modeling (MMM) Application and Translation

• Apply and extend outputs from the MMM data science team.
• Interpret model results, run scenario and what-if analyses, and adapt outputs for regional and stakeholder-specific questions.

Measurement and Funnel Analytics

• Build and maintain incremental analyses that complement MMM, including geo-lift tests, channel-level diagnostics, funnel analytics, and pipeline analytics.
• Own end-to-end analytics across B2B and B2C marketing funnels, from data extraction through insights and executive-ready recommendations.

MMM Team Partnership

• Partner with the central MMM data science team to ensure model assumptions, inputs, and outputs reflect business context.
• Help prioritize modeling questions that matter most to the business.

Tooling and Scale

• Write production-quality Python and SQL for data pulls, analysis, and light modeling.
• Build reusable tools and dashboards that scale insight generation across the team.

Storytelling and Communication

• Craft and deliver clear, compelling narratives and presentations for senior stakeholders across Marketing, Sales, Product, and Finance.

Cross-Regional Collaboration

• Partner with regional analytics business partners in EMEA and APJ to ensure consistency.

Requirements

• 6+ years of experience in marketing analytics, business intelligence, or data science, with a track record of directly influencing marketing strategy through data.
• Strong proficiency in Python and SQL for analysis, including experience working with large, messy marketing datasets.
• Hands-on exposure to Media Mix Modeling concepts and at least one MMM tool or framework, such as Robyn, Meridian, or an equivalent regression or econometric approach.
• Ability to interpret, apply, and reason about MMM models without necessarily building one from scratch.
• Solid grounding in statistics and experimental design, including regression, A/B testing, geo-lift testing, and incrementality testing.
• Demonstrated ability to partner with senior Marketing, Sales, and Finance stakeholders and turn analysis into decisions.
• Excellent communication and storytelling skills, with experience presenting to technical and executive, non-technical audiences.
• Solid understanding of digital and traditional media channels and B2B/B2C marketing funnels.

Nice-to-Haves

• Direct experience building or co-building an MMM model, or working as an embedded analytics partner to an MMM or data science team.
• Experience working on or with AI products, such as LLMs, copilots, RAG applications, or workflow tools.
• Experience in B2B marketing analytics, consulting, or an agency environment.
• Experience working across multiple regions or in a global, matrixed organization.

Compensation and Benefits

• Competitive pay.
• Generous time off.
• Parental and wellness leave.
• Healthcare benefits.
• Retirement savings program.
• Additional benefits that vary by location.
• Occasional travel may be required for project or team in-person meetings.