Senior Analytics Engineer
Core
Design and maintain a robust analytics data layer to enable trusted reporting on R&D metrics and accelerate development velocity.
Role type
Senior Analytics Engineer (R&D)
Builds
Analytics data layer, automated data reconciliation, quality checks, and dashboards for R&D teams.
Domain
Technology / R&D / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, data modeling, data pipeline orchestration, AWS Glue, metric definition, data lineage, root cause analysis, technical communication, mentorship
Preferred skills
Python, distributed computing (Hive, Presto, Spark), dashboarding (Looker, Tableau), dbt tests, CI/CD, data observability, data culture evangelism
Technologies
AWS Glue, Athena, Presto, LookML, Hive, Spark, Looker, Tableau, dbt
Responsibilities
Design and implement a formal analytics data layer; define, document, and maintain alignment on metric definition and data lineage; develop and maintain automated data reconciliation and quality checks; lead investigations into complex data anomalies and conduct root cause analysis; mentor team members on data modeling, testing, and documentation.
Seniority
Senior, hands-on IC with mentorship responsibilities