Product Data Analyst (L3)

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.

As a Product Data Analyst (L3) at Twilio, you will help uncover and deliver product data, analysis, and insights that empower stakeholders at all levels to maximize the impact of data in decision making. 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:

• 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: This role will be remote, and based in India (only in Karnataka, Tamil nadu, Maharashtra, Telangana, Delhi).

What We Offer: Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more.