Senior Analyst - US Commercialization Decision Intelligence & MMx Solutions
Tasks
- Apply decision science and AI ML
- Automate analytical workflows
- Build and maintain datasets models dashboards
- Conduct code reviews and knowledge sharing
- Conduct quasi experimental analyses
- Deliver analytical solutions
- Deliver stakeholder presentations
- Design experiments and test learn studies
- Ensure analytics best practices and documentation
- Ensure reproducible documented outputs
- Execute omnichannel analytics
- Explain insights assumptions and limitations
- Identify optimization opportunities
- Partner with business stakeholders for solution design
- Provide effort estimates and impact assessments
- Share reusable assets and analytical frameworks
- Synthesize findings into recommendations
- Translate business questions into analyses
- Troubleshoot data issues with data engineering teams
Perks/Benefits
Skills/Tech-stack
Clustering | Dash | Dashboarding | Data Governance | Data Quality | Data Visualization | Databricks | Experiment design | Experimental analysis | Git | Language Processing | Machine Learning | Natural Language | Natural Language Processing | Omnichannel analytics | Propensity Modeling | Python | Quasi Experimental | Quasi Experimental Analysis | R | R Shiny | Reproducibility | SharePoint | Statistical Analysis | Text Analytics | Uplift Modeling
Education
Bachelor of Arts | Bachelor of Science | Master of Engineering | Master of Science | PhD
Roles
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