Data Analytics Engineer
Tasks
- Build reusable data marts for dashboards and experimentation
- Build scalable dbt models
- Collaborate with product clinical finance and growth teams
- Contribute to documentation and data governance
- Coordinate with data engineering on upstream pipelines
- Define and maintain standardized KPIs
- Develop Redshift transformation logic
- Evolve semantic layer for metric consistency
- Implement data testing validation observability
- Improve analytics velocity through better modeling
- Optimize transformation pipeline performance
- Prepare datasets for data science and machine learning
- Reduce metric inconsistencies and reporting fragmentation
- Structure data for experimentation personalization ROI and AI workflows
- Support data analysts with analysis ready datasets
- Translate business requirements into data models
Perks/Benefits
- Equity package
- Flexible working environment
- Learning and development stipend
- Paid Maternity Leave
- Paid paternity leave
- Pension plan
- Private health coverage
- Substance use support
- Unlimited PTO
- Wellbeing Time Away
- Wellness reimbursement program
Skills/Tech-stack
Amazon Redshift | BI | DBT | Data Marts | Data Modeling | Data Observability | Data Quality | Data Quality Testing | Data Transformation | Data Warehousing | Dimensional Modeling | Experimentation Analytics | Feature Engineering | KPI design | Looker | Machine Learning | Product Analytics | Quality testing | ROI analysis | SQL | Semantic layer
Education
N/A
Roles
Regions
Countries
States
Cities
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