Principal Product Analytics Engineer
Tasks
- Automate data validation monitoring and quality controls
- Build product telemetry event pipelines
- Create analytics ready datasets and semantic views
- Create reusable standardized metrics and canonical models
- Define analytics frameworks for sessions and identity resolution
- Define and enforce product telemetry instrumentation best practices
- Design product analytics data ecosystem architecture
- Develop scalable data models for product analytics
- Establish metric governance and data reliability processes
- Implement analytics data warehouse layers
- Mentor team members in product data practices
- Support experimentation and A B testing measurement frameworks
- Translate stakeholder requirements into scalable data architecture
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | Amazon S3 | Amplitude | Amplitude Analytics | Analytics Datasets | Apache Airflow | B testing | DBT | Data Engineering | Data Governance | Data Modeling | Data Pipelines | Data Quality | Data Validation | Data Warehouse | ETL | Experimentation | Hex | Identity resolution | Product Analytics | Python | SQL | Schema Design | Semantic layer | Sigma | Snowflake
Education
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