Sr. Analytics Engineer/ Data Scientist
Tasks
- Build BI dashboards and decision support
- Build SQL analyses and automation
- Collaborate on instrumentation improvements
- Create ETL pipelines
- Define metrics and create data models
- Develop analytics data warehouse
- Implement data validation and monitoring
- Own analytics lifecycle from ingestion to modeling
- Partner with CX to quantify ROI
- Prototype machine learning models
- Turn product and business data into insights
Perks/Benefits
- 401k
- Bi-annual offsites
- Commuter stipend
- Dental insurance
- Equity
- FSA stipend
- Health insurance
- Vision insurance
- Wellness stipend
Skills/Tech-stack
AWS | Amazon Redshift | Anomaly Detection | Apache Airflow | Business Intelligence | CI/CD | Classification | Cloud platform | Clustering | DBT | Dagster | Data Modeling | ETL | Google BigQuery | Google Cloud | Google Cloud Platform | Kubernetes | Machine Learning | Microsoft Azure | NLP | Pandas | Power BI | Prefect | Python | Regression | SQL | Snowflake | Tableau | Terraform | ThoughtSpot
Education
Regions
Countries
States
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