Analytics Engineer Jobs

About The Position

Requirements

• 8+ years in analytics engineering, data engineering, or applied analytics with product-focused experience.
• Proficient with SQL and modern analytics stack (data warehouse such as Snowflake, dbt or similar, and a BI tool).
• Strong ETL/ELT design, data modeling (star/snowflake/semantic layers), and production-grade pipeline development.
• Demonstrated ability to partner with product teams and translate product goals into measurable metrics and dashboards.
• Clear storytelling with data—can present findings to non-technical stakeholders and influence product direction.
• Experience establishing data QA, lineage, and monitoring practices.

Nice To Haves

• Python or Scala for data engineering, Airflow, Kafka, or streaming experience.
• Familiarity with metric governance, metric stores, and versioned dbt projects.
• Insurance industry experience

Responsibilities

• Lead design and delivery of interactive, production-grade dashboards (Looker/Mode/Tableau/Metabase/Power BI) that answer product and business questions.
• Own semantic data models and metrics (events, user cohorts, funnels, retention) ensuring accuracy and consistency across reports.
• Design, implement, and maintain ETL/ELT pipelines (dbt, Airflow, Beam, or equivalent) to ingest, clean, and transform product and event data.
• Partner with product and engineering to define event schemas, validate data quality, and implement monitoring/alerting for metric regressions.
• Serve as trusted analytics partner to PMs, designers, and engineers—translate product questions into analytics requirements and deliverables.
• Optimize queries, dashboards, and pipelines for performance and cost at scale.
• Mentor junior analysts/engineers, define standards for metrics, documentation, and reproducible analyses.

Benefits

• Competitive pay
• Benefits
• Flexibility to support your well-being and future
• Personalized development programs
• Mentorship
• Certification assistance