Statistician – Retail Analytics
Tasks
- Analyze datasets to identify trends and correlations
- Apply prescriptive analytics for recommendations
- Automate reporting with ETL and data warehousing
- Build predictive analytics models
- Collaborate with cross-functional teams
- Conduct descriptive analysis
- Conduct machine learning clustering and classification
- Create dashboards and reports for stakeholders
- Develop statistical models for forecasting
- Ensure data integrity and data governance
- Improve data collection and processing pipelines
- Manage databases and optimize SQL queries
- Manage projects with Jira and Confluence
- Perform time-series analysis
- Prepare data with Power Query
- Translate statistical results into business insights
Perks/Benefits
- 401k
- Bonus eligible
- Disability insurance
- Employee discount on merchandise
- Employee stock purchase program
- Health, dental, and vision insurance
- Life insurance
- Paid parental leave
- Paid vacation and sick time
- Work from home option
Skills/Tech-stack
AWS Glue | AWS S3 | Azure DevOps | Clustering | Confluence | DAX | Data Lake | Data Modeling | Data Warehousing | Deep learning | Descriptive Analytics | Dplyr | ETL | Ggplot2 | K-Means | K-Nearest Neighbors | K-nearest | Machine Learning | Matplotlib | Microsoft Jira | Microsoft Planner | Microsoft SQL | Microsoft SQL Server | Nearest neighbors | NumPy | Pandas | Plotly | Power BI | Power Query | Predictive Analytics | Prescriptive Analytics | Python | R | SQL | SQL Server | Seaborn | Self Organizing Maps | Self-organizing | Series analysis | Statistics | Supervised Learning | Tidyr | Time Series | Time Series Analysis | Unsupervised Learning
Education
Roles
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