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Home / Jobs / Twilio

Marketing Strategy and Analytics Manager

Twilio

Remote - IndiahybridPosted 2 days ago
Twilio logo

Skill Required

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Key highlights

  • 6+ years of marketing analytics, BI, or data science experience.
  • Remote‑based role for candidates in India (Karnataka, Tamil Nadu, Telangana, Maharashtra, or Delhi).
  • Competitive pay and generous time off.
  • Hands‑on exposure to Media Mix Modeling (Robyn, Meridian, or similar).
  • Opportunity to partner directly with senior Marketing, Sales, and Finance leaders.
  • Occasional travel for in‑person team or customer meetings.

Role overview

Join the team as Twilio’s next Marketing Strategy & Planning Manager. We’re hiring a Marketing Strategy & Analytics Manager to join our global marketing analytics team, sitting alongside our Media Mix Modeling (MMM) data scientists and our regional analytics business partners (EMEA and APJ). This hybrid role combines senior business partnership with data science, acting as a trusted analytics advisor to marketing leadership while being fluent in MMM methodology to apply, extend, and translate MMM outputs into actionable decisions for regional and global marketing leaders.

Responsibilities

  • 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.
  • Cross-Regional Collaboration: Partner with regional analytics business partners (EMEA, APJ) to ensure consistency.

Requirements

  • 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.
  • Statistically Grounded: Solid grounding in statistics and experimental design (e.g., regression, A/B testing, geo-lift/incrementality testing).
  • The Trusted Advisor: Demonstrated ability to partner with senior stakeholders (Marketing, Sales, Finance) and turn analysis into decisions — not just dashboards.
  • Storyteller: Excellent communication and storytelling skills; experience presenting to both technical and executive, non‑technical audiences.
  • Channel Fluency: Solid understanding of digital and traditional media channels and B2B/B2C marketing funnels.

Nice to have

  • Prior direct experience building or co‑building an MMM model, or working as an embedded analytics partner to an MMM/data science team.
  • Experience working on or with AI products (e.g., LLMs, copilots, RAG apps, workflow tools).
  • Prior experience in B2B marketing analytics, consulting, or an agency environment.
  • Experience working across multiple regions or in a global, matrixed organization.

Benefits

  • Competitive pay.
  • Generous time off.
  • Ample parental and wellness leave.
  • Healthcare coverage.
  • Retirement savings program.
  • Offerings vary by location.
  • Support for volunteering and donation efforts.

Additional details

  • 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.
  • Our dedication to remote‑first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day.
  • We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
  • While we are a remote‑first company, you may be asked to report in person on an ad‑hoc basis for team gatherings, functional off‑sites or customer meetings.
  • Location: This role will be remotely based in India (Karnataka, Tamil Nadu, Telangana, Maharashtra or Delhi).
  • Travel: You may be required to travel occasionally to participate in project or team in‑person meetings.
  • Twilio thinks big. We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. We seek colleagues who embody our values — something we call Twilio Magic.
  • Stay alert to recruitment fraud: We never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process and will only communicate from an official @twilio.com email address.
  • Twilio is proud to be an equal opportunity employer. We do not discriminate based upon protected characteristics and consider qualified applicants with criminal histories in accordance with applicable law.

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