Product Data Analyst (L3)

Job Summary

Join the team as Twilio s next Product Data Analyst (L3).

This position is needed to help uncover and deliver product data, analysis, and insights that empower stakeholders at all levels to maximize the impact of data in decision making. Our team is expanding to provide meaningful, data-backed insights from which to develop and grow our industry leading communications products. You will own analytics workstreams end to end from ambiguous problem statements to deliver insights in a fast moving environment.

Responsibilities

• End-to-End Analytics: Own complex projects from scoping ambiguous problems to delivering actionable, data-driven insights.
• Product Strategy: Partner with PMs to define metrics, build reporting dashboards, and inject data into product planning.
• Technical Execution: Apply SQL and visualization tools (Looker, Tableau) to translate complex data into clear stakeholder recommendations.
• Data Standardisation: Maintain and document metrics, datasets, and models using Confluence and Datahub to ensure a single source of truth.
• Project Management: Balance multiple concurrent initiatives with clear prioritization and proactive status updates.
• Quality Assurance: Maintain rigorous data quality standards through robust validation and transparent quality control.
• AI-Driven Efficiency: Integrate modern AI tools into daily workflows to speed up SQL coding, analysis, and documentation.

Qualifications

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasnt followed a traditional path, dont let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

Required

• Professional Experience: 4+ years of experience in quantitative analysis, business intelligence, or data analytics, with a proven track record of converting complex, ambiguous data into actionable business results.
• Core Technical Skills: 4+ years of hands-on experience writing, optimizing, and performing quality assurance (QA) in SQL or relational database languages on a regular basis.
• Data Visualization: Proficiency with modern BI tools, with a strong preference for Tableau and Looker (LookML).
• Structured Problem Solving: Strong analytical mindset with the ability to decompose vague problem statements into clear, executable data strategies.
• End-to-End Ownership: Demonstrated ability to independently manage deliverables from initial requirement gathering through to stakeholder delivery with minimal guidance.
• Project Delivery: Exceptional organizational skills with a track record of juggling multiple competing priorities and driving tasks to completion with reliable follow-through.
• Communication & Stakeholder influence: Strong written and verbal communication skills with the ability to translate analytics insights into clear narratives and action items that influence stakeholder decisions

Desired

• AI & Innovation: Experience leveraging LLMs/AI tools to accelerate analytics workflows, combined with a strong curiosity to continuously upskill as technology evolves.
• Data Engineering & Infrastructure: Familiarity with data warehousing concepts, ETL processes, and distributed computing frameworks such as AWS Glue, Spark, DBT, Athena.
• Advanced Analytics: Proficiency in Python (Pandas, NumPy, Scikit-Learn) or R for statistical modeling, regression analysis, hypothesis testing, and causal inference.

Location

India

Travel

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.