Analytics Engineer – Product

• Lead design and delivery of interactive, production-grade dashboards using Looker, Mode, Tableau, Metabase, Power BI, or equivalent tools
• Own semantic data models and metrics, including events, user cohorts, funnels, and retention
• Design, implement, and maintain ETL/ELT pipelines using dbt, Airflow, Beam, or equivalent tools
• Partner with product and engineering teams to define event schemas, validate data quality, and implement monitoring and alerting for metric regressions
• Serve as a trusted analytics partner to product managers, 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 and engineers
• Define standards for metrics, documentation, and reproducible analyses
• Provide quantitative support, market understanding, and strategic perspective to organizational partners
• Make critical recommendations for Engineering and Product Management

• 8+ years in analytics engineering, data engineering, or applied analytics with product-focused experience
• Proficient with SQL and a modern analytics stack, including a 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; ability to present findings to non-technical stakeholders and influence product direction
• Experience establishing data QA, lineage, and monitoring practices
• Preferred:
  Python or Scala for data engineering, Airflow, Kafka, or streaming experience
• Preferred: familiarity with metric governance, metric stores, and versioned dbt projects
• Preferred: insurance industry experience

Demonstrates expertise in analytics engineering and data modeling, with a strong focus on ETL/ELT pipeline development and performance optimization. Proven ability to partner with product teams to translate goals into actionable metrics and deliver impactful dashboards.

• SQL Proficiency
• ETL/ELT Design
• Data Modeling
• Looker, Tableau, Power BI
• Data Quality Assurance

• Analytics Engineering
• Data Engineering
• Production-Grade Pipeline Development
• Metric Governance
• Data Modeling (Star/Snowflake)
• Quantitative Analysis
• Data Storytelling
• Metrics Documentation
• Monitoring Practices
• Streaming Experience

• Clear Communication
• Mentoring
• Collaboration

• Insurance Industry Experience
• Product-Focused Analytics

• Looker
• Tableau
• Power BI
• Dbt
• Airflow
• Snowflake
• Kafka
• Metabase
• Beam