Senior Data Analytics Engineer - Data Insights
Tasks
- Build data models and pipelines
- Build metrics layer and KPI frameworks
- Collaborate with stakeholders for scalable data solutions
- Create trusted analytical datasets
- Design analytics foundation
- Develop data transformations in Snowflake
- Document metric definitions and modeling best practices
- Improve data quality and reliability
- Manage analytics projects from concept to delivery
- Optimize query performance
- Transform warehouse data into data assets
- Use AI tools to improve analytics workflows
Perks/Benefits
- Accidental death and dismemberment coverage
- Company equity participation
- Continuous learning and professional development
- Critical illness coverage
- Flexible remote work environment
- Life insurance
- Long-Term Disability coverage
- Medical, dental, and vision insurance
- Paid time off
- Paid volunteering days
- Remote-first environment
- Wellness allowance
Skills/Tech-stack
AWS | Azure | Bitbucket | DBT | Data Modeling | Data Transformation | Data Warehousing | GCP | Git | JSON | KPI | Machine Learning | Metrics layer | Python | Query Optimization | SQL | Semantic layer | Snowflake
Education
N/A
Roles
Analytics | Analytics Engineer | Data Analytics | Data Analytics Engineer | Engineer
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