Manager - Data and Analytics
Tasks
- Build propensity and uplift models
- Communicate modelling assumptions limitations and outcomes
- Conduct experimentation using A/B testing
- Create decision ready dashboards and monitoring views
- Define success metrics and test and learn approaches
- Develop cross sell and next best action analytics
- Drive automation and continuous improvement using modern tooling
- Explore cleanse and transform customer data
- Maintain version control documentation and reproducibility
- Perform data feature engineering from CRM and behavioral signals
- Translate insights into business rules and scoring outputs
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | B testing | Classification | Clustering | Data Cleansing | Data Transformation | Data integration | Experimentation | Feature Engineering | GCP | Git | Hadoop | Language Processing | Looker | Machine Learning | Natural Language | Natural Language Processing | Next Best Action | Propensity Modeling | Python | Recommendation Systems | SQL | Statistical Analysis | Uplift Modeling | Version control
Education
N/A
Roles
Analytics | Analytics Manager | Data Science | Data Science Manager | Manager
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