Sr. Analytics Engineer
Tasks
- Architect dbt model layers
- Build consensus on shared data asset definitions
- Define and govern KPI and metric layer
- Define transformation logic and documentation standards
- Design semantic layer data access for stakeholders
- Develop data marts for dashboards and experimentation
- Ensure reliability of transformation pipelines
- Establish data quality frameworks
- Identify and resolve metric fragmentation
- Mentor analytics engineers and data analysts
- Partner with Data Science and ML for feature ready datasets
- Structure data assets for experimentation and AI workflows
- Translate business requirements into reusable data models
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Amazon Redshift | B testing | Cube | DBT | Data Governance | Data Modeling | Data Observability | Data Quality | Data Warehousing | Dimensional Modeling | Experimentation | KPI Management | Looker | Metric Design | SQL | Semantic layer | Snowflake
Education
N/A
Regions
Countries
States
Cities
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