Marketing Strategy and Analytics Manager
Twilio
IndiaremotePosted 1 month ago
Skill Required
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Key highlights
- Remote role based in India (specific states listed)
- 6+ years of experience required
- Competitive pay and benefits
- Hybrid role: senior business partner + data scientist
- Occasional travel required
- AI-assisted hiring process
Role overview
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. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. Join the team as Twilio’s next Marketing Strategy & Planning Manager. This is a hybrid role: part senior business partner, part data scientist. You'll act as a trusted analytics advisor to marketing leadership — owning end-to-end analyses of funnel performance, campaign effectiveness, and marketing ROI — while also being fluent enough in MMM methodology to apply, extend, and translate our MMM outputs into decisions our regional and global marketing leaders can act on. This role is ideal for someone who has grown from a strong analytics/BI background into applied data science, has direct exposure to MMM (Robyn, Meridian, or similar), and wants a role that blends storytelling and stakeholder influence with genuine modeling depth.
Responsibilities
- Act as the trusted analytics advisor to global and regional marketing leaders, translating business questions into analyses that shape budget, channel, and campaign decisions.
- 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.
- 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.
- 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.
- Write production-quality Python/SQL for data pulls, analysis, and light modeling; build reusable tools and dashboards that scale insight generation across the team.
- Craft and deliver clear, compelling narratives and presentations for senior stakeholders across Marketing, Sales, Product, and Finance.
- Partner with regional analytics business partners (EMEA, 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 (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.
- Solid grounding in statistics and experimental design (e.g., regression, A/B testing, geo-lift/incrementality testing).
- Demonstrated ability to partner with senior stakeholders (Marketing, Sales, Finance) and turn analysis into decisions — not just dashboards.
- Excellent communication and storytelling skills; experience presenting to both technical and executive, non-technical audiences.
- 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
- A retirement savings program
Additional details
- This role will be remotely based in India (Karnataka, Tamil Nadu, Telangana, Maharashtra or Delhi).
- You may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
- For this role, you may be required to travel occasionally to participate in project or team in-person meetings.
- Twilio uses Artificial Intelligence (AI) to help make our hiring process efficient. Every hiring decision is made by real Twilions.
- Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.
- Twilio participates in the E-Verify program in certain locations, as required by law.
- We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.
- Twilio thinks big. We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.