# Marketing Analyst, PLG & Self-Serve Analytics

**Company:** [Twilio](https://hotfix.jobs/companies/twilio)
**Location:** Remote
**Role:** Data Analytics
**Salary:** $97k – $142k/yr
**Skills:** SQL, Python, Plg Analytics, LLMs, Cohort Analysis, Data Visualization, Dashboards, Growth Experimentation, Segmentation, Scoring Models
**Posted:** 2026-05-14

> Analyzes PLG and self-serve metrics for Twilio's SaaS platform, owning free-to-paid conversion, cohorting, and growth experiments. Translates business needs into technical solutions using SQL/Python and communicates insights to stakeholders.

## Job Description

## 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

## Qualifications
**Required:**
- 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.

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