Analytics Engineer
Tasks
- Build Power BI dashboards and reports
- Build forecasting regression and segmentation analyses
- Conduct A/B testing and hypothesis testing
- Create data models with DAX and KPIs
- Design star schema in SQL Server
- Develop semantic models and manage row level security
- Document metric definitions and report lineage
- Integrate data from Salesforce CRM
- Monitor report adoption and data quality
- Perform statistical analysis
- Present insights to technical and non-technical stakeholders
- Write T-SQL stored procedures and ETL logic
Perks/Benefits
- 401k
- At home work set up
- Education reimbursement
- Enhanced parental and adoption leave
- Incentive plan
- Insurance premium discounts
- Mentoring and career development
- On-site gym
- Personal Time Off
- Profit sharing plan
- Team building events
- Volunteer time off
- Wellness program
Skills/Tech-stack
A/B | A/B Testing | Agile | B testing | Cohort Analysis | DAX | DBT | Data Modeling | Dimensional Modeling | ETL | Forecasting | Git | Hypothesis Testing | NumPy | Pandas | Power BI | Power Query | Python | R | Regression Analysis | Row Level Security | SQL Server | Salesforce CRM | Scikit-learn | Scrum | Segmentation | Semantic Modeling | Star Schema | StatsModels | T-SQL
Education
N/A
Roles
Analyst | Analytics | Analytics Engineer | Data Analyst | Engineer
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