Marketing Analyst, PLG & Self-Serve Analytics

Twilio

18h•Remote

About The Position

This position is needed to be part of a highly visible Marketing Analytics team serving as the dedicated analytics partner for Twilio's self-serve and PLG motion, reporting into the MSA&I function (Marketing Strategy, Analytics and Innovation). You will serve as the connective tissue between GTM engineers and business teams, ensuring business goals are translated into scalable technical programs. You will own the end-to-end process of designing and iterating on high-impact sales programs and growth experiments, working with great minds across Marketing, Product, Sales, and Finance.

Requirements

Proven Technical Ability: Fluency in SQL and Python is essential.
PLG/Self-Serve Experience: Prior experience with product-led growth metrics (activation rates, free-to-paid conversion, usage-based expansion) or experience in a usage-based SaaS environment
AI/LLM Fluency: Ability to work with different Large Language Models (LLMs) to develop innovative business solutions.
Analytical Mindset: Experience leveraging data to uncover insights and influence business strategy.
Strategic Thinker: A passion for "picking up the trash", identifying problems and fixing them proactively instead of waiting for instructions.
Education: Bachelor's degree in a quantitative or business field, or equivalent practical experience.

Responsibilities

Lead PLG Analytics: Own PLG analytics for Twilio's self-service business, including free-to-paid conversion, usage-based cohorting, signal-based audience development, and growth experimentation across the self-serve funnel. Build the bridge between Self Service and GTM motion to allow faster conversions
Bridge the Technical Gap: Translate business needs into technical solutions using Python and SQL. Collaborate with Marketing Data Engineering to take tests from pilot to production. Ensure every technical pilot/ prod development has marketing impact and is measurable and scalable
Build Strategic Partnerships: Build relationships with sales and marketing leaders to translate hypotheses into actionable experiments and identify high-leverage use cases
Drive Iteration: Build tight feedback loops with sales teams to validate play effectiveness and evolve dashboards, cohort models, and experimentation frameworks
Synthesize Data: Distill complex insights into clear, concise communication for both technical and non-technical stakeholders, focusing on 1-2 succinct takeaways for executives.
Develop Toolkits: Build and maintain analytical toolkits - scoring models, segmentation frameworks, dashboards - that help Sales and Marketing teams act on insights at scale