Product Data Analyst (L3)

Das ist der Job

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes.

Darum lohnt es sich

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.

See yourself at Twilio Join the team as Twilio’s next Product Data Analyst (L3) About the job 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. Integrate modern AI tools into daily workflows to speed up SQL coding, analysis, and documentation. Data Visualization: Proficiency with modern BI tools, strong preference for Tableau and Looker (LookML).

Travel Occasional travel may be required to participate in project or team in‑person meetings. 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.

We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. 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.

We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! You will own analytics workstreams end to end from ambiguous problem statements to deliver insights in a fast‑moving environment.

Responsibilities Own complex projects from scoping ambiguous problems to delivering actionable, data‑driven insights. Partner with PMs to define metrics, build reporting dashboards, and inject data into product planning. Apply SQL and visualization tools (Looker, Tableau) to translate complex data into clear stakeholder recommendations.

Maintain and document metrics, datasets, and models using Confluence and Datahub to ensure a single source of truth. Balance multiple concurrent initiatives with clear prioritization and proactive status updates. Maintain rigorous data quality standards through robust validation and transparent quality control.

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 hasn’t followed a traditional path, don’t let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

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. 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 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 ability to translate analytics insights into clear narratives and action items that influence stakeholder decisions.

AI & Innovation: Experience leveraging LLMs/AI tools to accelerate analytics workflows, combined with 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 is remote and based in India (only Karnataka, Tamil Nadu, Maharashtra, Telangana, Delhi). Offerings vary by location.

EEO Statement 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. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Additionally, Twilio participates in the E‑Verify program in certain locations, as required by law. #J-18808-Ljbffr