Lead Analytics Engineer
Tasks
- Build metrics frameworks
- Build semantic layers
- Collaborate with data engineers on pipelines
- Communicate trade-offs
- Contribute to analytics engineering roadmap
- Create documentation standards
- Create reusable data models
- Deploy analytics solutions
- Design data models
- Develop data transformations
- Document analytics solutions
- Enable BI reporting
- Establish testing best practices
- Gather requirements
- Identify process improvements
- Identify technical innovations
- Implement data quality tests
- Implement version control
- Maintain data models
- Mentor junior engineers and analysts
- Monitor model performance
- Optimize data models
- Own end-to-end analytics projects
- Partner with business stakeholders
- Perform code reviews
- Present technical solutions
- Translate analytical requirements into data solutions
Perks/Benefits
- 401k match
- Childcare assistance
- Dental insurance
- Disability insurance
- Employee assistance program
- Fertility assistance
- Fitness discounts
- Flexible spending account
- Health savings account
- Medical insurance
- On-site gym access
- Paid Holidays
- Paid time off
- Paid volunteer time off
- Parental leave
- Tuition reimbursement
- Vision insurance
- Wellness Newsletter
- Wellness reimbursement
Skills/Tech-stack
Amazon Redshift | Analytics engineering | BI reporting | BigQuery | Code review | DBT | Data Modeling | Data Pipelines | Data Quality | Data Testing | Data Warehousing | Data pipeline | Data pipeline orchestration | Deployment Workflows | Dimensional Modeling | Documentation | Git | Macros | Metrics frameworks | Monitoring | Packages | Pipeline Orchestration | SQL | Semantic layer | Snowflake | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Analytics | Analytics Engineer | Engineer | Lead | Lead Analytics | Lead Analytics Engineer
Regions
Countries
States
Cities
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