Senior Manager, Business Intelligence and Data Analytics
Tasks
- Build and validate regression models
- Build dashboards and executive presentations
- Collaborate with engineering for production ready models
- Conduct hypothesis testing and A/B testing
- Define analytical requirements with business teams
- Deliver analytical projects end to end
- Detect anomalies in data
- Evaluate model performance and iterate
- Implement data quality checks and validation
- Ingest, transform, and load large datasets
- Maintain demand forecasting models
- Manage cloud data platforms
- Optimize SQL queries and data pipelines
- Perform product segmentation analysis
- Perform time series forecasting
- Present insights to non-technical audiences
- Run clustering and classification models
- Scope data acquisition build models and deploy insights
- Support self service BI analytics tools
- Surface trends anomalies and opportunities
- Translate business questions into structured data problems
Perks/Benefits
- 401k match
- Career development
- Dental insurance
- Medical insurance
- Merchandise discounts
- Paid time off
- Summer Fridays
- Vision insurance
- Volunteer program
- Workplace training
Skills/Tech-stack
A/B | A/B Testing | Anomaly Detection | Apache Spark | B testing | Classification | Clustering | Data Pipelines | Data Quality | Data Visualization | Data Warehousing | Databricks | Demand Planning | Dimensionality Reduction | ETL | Experiment design | Google BigQuery | Hypothesis Testing | Inventory forecasting | Lasso Regression | Logistic Regression | Power BI | Python | R | Regression | Retail Analytics | Ridge regression | SQL | Series forecasting | Snowflake | Statistical modeling | Supply Chain | Supply Chain Analytics | Tableau | Time Series | Time Series Forecasting
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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