Staff Analytics Engineer
Data & Analytics
WFA Digital Insight
As demand for data-driven insights grows, companies like Twilio are seeking skilled analytics engineers to propel innovation. With a 25% increase in remote analytics roles in 2025, this field is booming. To stand out, candidates need a strong foundation in cloud-based data platforms and collaboration skills. Twilio's remote-first approach and commitment to global inclusion make it an attractive choice for those seeking a dynamic work environment.
Job Description
About the Role
Twilio is seeking a Staff Analytics Engineer to advance the consistency and quality of our R&D analytics data layer. This role will empower R&D to make data-backed decisions, driving innovation and improving product performance.Responsibilities
- Design and implement a formal analytics data layer using AWS Glue, Presto, and LookML
- Collaborate with the Data Science & Analytics team and across Product & Engineering to define and maintain metric definitions and data lineage
- Develop automated data reconciliation and quality checks to ensure accuracy and consistency of critical reports and dashboards
How to Stand Out
- Tip: Highlight your experience with cloud-based data platforms like AWS Glue and Presto in your resume and cover letter.
- To stand out, showcase projects where you've driven data-backed decisions and collaborated with cross-functional teams.
- Prepare to discuss your approach to data quality and reconciliation, and how you ensure accuracy in your work.
- Be ready to walk through your process for defining and maintaining metric definitions and data lineage.
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