Product Data Analyst (L3)

Twilio · Remote - IndiaRemotomid

En corto

▸Analista de datos de producto que impulsa decisiones con insights accionables.
▸Trabajas en todo el ciclo: desde problemas ambiguos hasta dashboards y estrategias con PMs.
▸Destaca usar IA para acelerar análisis, SQL y documentación en entorno remoto.

Proficiency in English required

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¿Qué piden?

✓4+ años en análisis cuantitativo o BI con resultados accionables.
✓4+ años escribiendo y optimizando SQL en bases de datos relacionales.
✓Experiencia en traducir datos complejos en recomendaciones claras para stakeholders.
✓Capacidad para manejar múltiples proyectos concurrentes con priorización clara.
✓Habilidades en herramientas de visualización como Looker o Tableau.
✓Experiencia en estándares de calidad de datos y documentación (Confluence, Datahub).

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

SQLLookerTableauConfluenceDatahubAI toolsRelational databasesData validationProject managementData quality assurance

¿A quién escribirle en Twilio?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

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. . 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. . 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 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 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! 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 regula

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