Product Data Analyst (L3)

Who we are

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.

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. 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.
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Hiring and how we work

We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!

Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
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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.You will own analytics workstreams end to end from ambiguous problem statements to deliver insights in a fast moving environment.

Responsibilities

In this role, you’ll:

• 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