Analytics Engineer

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 Requirements 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 Core Competencies 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. Highest-signal resume keywords SQL Proficiency ETL/ELT Design Data Modeling Looker, Tableau, Power BI Data Quality Assurance Hard Skills Analytics Engineering Data Engineering Production-Grade Pipeline Development Metric Governance Data Modeling (Star/Snowflake) Quantitative Analysis Data Storytelling Metrics Documentation Monitoring Practices Streaming Experience Soft Skills Clear Communication Mentoring Collaboration Industry Keywords Insurance Industry Experience Product-Focused Analytics Tools & Technologies Looker Tableau Power BI Dbt Airflow Snowflake Kafka Metabase Beam #J-18808-Ljbffr