Data Analytics Engineer II
Tasks
- Analyze companion metrics relationships
- Build and scale metric layer
- Build baseline comparison workflows
- Build reusable logic across tools
- Debug upstream pipelines semantic layer and analytical outputs
- Define metric definitions and dimension standards
- Define semantic layer metrics and dimensions
- Develop dbt models
- Enable metric consumption in BI tools
- Enforce data contracts
- Ensure metric consistency and correctness
- Implement analytical logic for root cause analysis
- Improve data quality and governance
- Prepare API based metric serving layer
- Translate business questions into analytical patterns
Perks/Benefits
- Child and eldercare resources
- Education assistance
- Flexible work anywhere
- Health insurance
- Mental health resources
- Paid time off
- Professional development opportunities
- Professional recognition program
- Retirement plan with company match
- Volunteer hours
Skills/Tech-stack
Amazon Redshift | BI tools | Cause analysis | Cohort Analysis | Columnar Data Warehouse | Columnar data | DBT | Data Contracts | Data Governance | Data Modeling | Data Quality | Data Warehouse | Django REST | Django REST Framework | FastAPI | Flask | Funnel analytics | Google BigQuery | Incremental Materialization | Jinja | Metric Definitions | Metric Relationships | MetricFlow | Pandas | Performance Analysis | Python | REST Framework | Root Cause Analysis | Root cause | SQL | Semantic layer | Snowflake | Version control | YAML
Education
N/A
Roles
Analytics | Analytics Engineer | Data Analytics | Data Analytics Engineer | Engineer
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