Marketing Strategy and Analytics Manager

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Twilio

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

🔌 API

🤝 B2B

API • B2B

Twilio is a leading provider of cloud communications services that enables developers to build innovative communication solutions. Founded in 2008, Twilio has democratized access to communication channels such as voice, text, chat, video, and email through easy-to-use APIs. With headquarters in San Francisco and a global presence, Twilio empowers organizations of all sizes to engage effectively with their customers by integrating these communication capabilities into their applications.

📋 Description

• Act as a trusted analytics advisor to global and regional marketing leaders, translating business questions into analyses that shape budget, channel, and campaign decisions • Apply and extend Media Mix Modeling outputs, interpret model results, run scenario/what-if analyses, and adapt outputs for regional and stakeholder-specific questions • Build and maintain incremental analyses, 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 pull through insight to executive-ready recommendation • Partner with the central MMM data science team on model assumptions, inputs, outputs, and modeling-question priorities • 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 • Craft and deliver clear narratives and presentations for senior stakeholders across Marketing, Sales, Product, and Finance • 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 • Comfortable 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/econometric approach • Ability to interpret, apply, and reason about MMM outputs • Solid grounding in statistics and experimental design, including regression, A/B testing, and geo-lift/incrementality testing • Demonstrated ability to partner with senior Marketing, Sales, and Finance stakeholders and turn analysis into decisions • Excellent communication and storytelling skills • Experience presenting to technical and executive, non-technical audiences • Solid understanding of digital and traditional media channels and B2B/B2C marketing funnels

🏖️ Benefits

• Competitive pay • Generous time off • Ample parental leave • Wellness leave • Healthcare • Retirement savings program • Volunteering and donation support • Remote-first work • Global team connection and inclusion