Resumen del rol

Data Analytics Engineer II

Requisitos y responsabilidades

Contenido del rol extraído en secciones para revisar más rápido.

Essential Job Functions:

  • Build and scale the metric layer
  • Develop and maintain dbt models
  • Contribute to semantic layer definitions (metrics, dimensions, relationships)Ensure consistency and correctness of: key business metrics o metric hierarchies (metric pyramid)
  • Implement analytical logic (root cause analysis & metric insights)
  • Build root cause analysis workflows:Implement baseline comparisons , companion metric analysis
  • Translate business questions into scalable analytical patterns
  • Enable metric consumption across toolsSupport metric usage in different BI or analytical tools
  • Build reusable logic that avoids duplication across tools
  • Prepare for future API-based metric serving layer
  • Partner with business and product stakeholders
  • Work closely with sales, product, underwriting, claims, experience and other business teams, Translate ambiguous questions into:
  • Structured metrics
  • Actionable insights
  • Improve data quality and governance
  • Define and enforce:
  • Metric definitions
  • Dimension standards
  • Data contracts
  • Debug issues across:
  • Upstream pipelines
  • Semantic layer
  • Analytical outputs

Education:

  • Bachelor's Degree in Computer science, Statistics or similar
  • 3–5 years of analytics engineering or similar analytical role experience with dbt or similar transformation frameworks proficiency: models, tests, incremental materialization, Jinja macros
  • Advanced SQL on a columnar warehouse (Redshift, Snowflake, or BigQuery)
  • Python for data transformation and analysis (pandas, basic scripting)
  • Comfort working with YAML-based configuration and version-controlled analytics workflows
  • Clear written and verbal communication—able to explain metric definitions and data lineage to non-technical stakeholders
  • Nice to haveP&C insurance domain experienceExperience with:Cohort analysisFunnel metricsPerformance analysisFamiliarity with MetricFlow specifically and the dbt Semantic LayerExposure to Retool or similar low-code tools for operational write-back workflowsFastAPI or similar Python API frameworks (Flask, Django REST) for serving data products as services

We offer many great benefits, including:

  • Competitive compensation
  • Flexibility to work from anywhere in the United States for most positions
  • Paid time off (vacation time, sick time, 9 paid Company holidays, volunteer hours)
  • Incentive bonus programs (potential for holiday bonus, referral bonus, and performance-based bonus)
  • Medical, dental, vision, life, and pet insurance
  • 401 (k) retirement savings plan with company match
  • Engaging work environment
  • Promotional opportunities
  • Education assistance
  • Professional and personal development opportunities
  • Company recognition program
  • Health and wellbeing resources, including free mental wellbeing therapy/coaching sessions, child and eldercare resources, and more
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FocoAnalytics EngineeringÁrea del rol
Señal de seniorityMiddleNivel del candidato
StackPython, REST, SnowflakeSkills principales
Ubicación1 país aceptadoElegibilidad

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