Staff Analytics Engineer – Product

Jobtailor; California (MO); On-site; USD 145,000 - 190,000; Full time

Job summary

Jobtailor seeks an experienced analytics engineer to lead the design and delivery of production dashboards using Looker, Tableau, Power BI, Metabase, or equivalent tools. You will own semantic data models and metrics across events, cohorts, funnels, and retention, and craft robust ETL/ELT pipelines with dbt, Airflow, or Beam.

You will partner with product and engineering to define event schemas, ensure data quality, and monitor metric health, while mentoring juniors and driving actionable

Qualifications

• 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.
• 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.

Responsibilities

• 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

Skills

SQL Proficiency

ETL/ELT Design

Data Modeling

Looker

Tableau

Power BI

Data Quality Assurance

Monitoring Practices

Data Storytelling

Mentoring

Clear Communication

Tools

Looker

Tableau

Power BI

Dbt

Airflow

Snowflake

Kafka

Metabase

Beam

Job description

• 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