The opportunity
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.
What you'll do
Strategy & Analytics Partnership: Act as the trusted analytics advisor to global and regional marketing leaders, translating business questions into analyses that shape budget, channel, and campaign decisions.
MMM Application & Translation: Apply and extend outputs from our MMM data science team — interpreting model results, running scenario/what-if analyses, and adapting them for regional nuance and stakeholder-specific questions.
Measurement & Funnel Analytics: Build and maintain incremental analyses that complement MMM (geo-lift tests, channel-level diagnostics, funnel and pipeline analytics) to validate and enrich model-driven recommendations. Own end-to-end analytics across B2B and B2C marketing funnels, from data pull through insight to executive-ready recommendation.
MMM Team Partnership: Partner closely with the central MMM data science team to ensure model assumptions, inputs, and outputs reflect real business context, and to prioritize the roadmap of modeling questions that matter most to the business.
Tooling & Scale: Write production-quality Python/SQL for data pulls, analysis, and light modeling; build reusable tools and dashboards that scale insight generation across the team.
Storytelling & Communication: Craft and deliver clear, compelling narratives and presentations for senior stakeholders across Marketing, Sales, Product, and Finance.
What they're looking for
- Cross-Regional Collaboration: Partner with regional analytics business partners (EMEA, APJ) to ensure consistency.
- The Hybrid Analyst: 6+ years of experience in marketing analytics, business intelligence, or data science, with a track record of directly influencing marketing strategy through data.
- Technically Fluent: Strong proficiency in Python and SQL for analysis; comfortable working with large, messy marketing datasets.
- MMM-Literate: Hands-on exposure to Media Mix Modeling concepts and at least one MMM tool or framework (e.g., Robyn, Meridian, or an equivalent regression/econometric approach) — you don't need to have built an MMM from scratch, but you can interpret, apply, and reason about one.
