Analytics Engineer
Tasks
- Contribute to analytics dimensional modeling strategy star schemas and metric standardization
- Design build maintain enterprise grade Power BI semantic models
- Develop optimize DAX measures calculation groups and model relationships
- Enable self service analytics with documented governed semantic models
- Enforce Power BI best practices naming conventions security RLS and dataset lifecycle management
- Implement incremental refresh partitions aggregations and query optimization
- Optimize Power BI refresh and query performance
- Partner with data engineering to optimize upstream data models for analytics consumption
- Provide consulting recommendations to Power BI enabled analysts
Perks/Benefits
- 401k match
- Dental insurance
- Dress code flexibility
- Employee stock purchase program
- Health insurance
- Life insurance
- Onsite cafeteria
- Onsite childcare
- Paid Holidays
- Paid parental leave
- Paid time off
- Vision insurance
- Volunteer time
Skills/Tech-stack
ALM Toolkit | Azure DevOps | BigQuery | CI/CD | DAX | DAX Studio | Data Modeling | Databricks | Dimensional Modeling | GitHub | Incremental refresh | Lakehouse | M | Power BI | Power Query | Query Optimization | Row Level Security | Row-Level Security (RLS) | SQL | Security (RLS) | Semantic Modeling | Snowflake | Star Schema | Tabular Editor
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Information Technology
Roles
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