Senior Analyst, US Commercialization Decision Intelligence & KDA Solutions
Tasks
- Apply LLMs for retrieval summarization and generative analytics
- Break down requirements into user stories
- Build automation workflows
- Contribute dashboards and always on insights
- Coordinate delivery workstreams
- Create scenario and measurement pipelines
- Design and execute unit, integration, and regression tests
- Design develop and test analytics agents
- Develop analytical models and datasets
- Embed validation and peer code reviews
- Ensure compliance with data and AI governance
- Estimate effort and track progress in Jira or Azure DevOps
- Evaluate autonomous and semi autonomous agent outputs
- Follow AI governance for safety security ethics and privacy
- Maintain analytical assets for reproducibility and explainability
- Maintain documentation and defect logs
- Maintain traceability from requirements to testing and release
- Perform data quality and logic validation
- Plan and coordinate User Acceptance Testing
- Plan sprint work and refine backlog
- Prepare UAT scripts and test data
- Prepare and deliver stakeholder presentations
- Support release readiness and deployment
- Synthesize findings into recommendations
- Track timelines dependencies risks and blockers
- Translate business questions into analytical approaches
- Triaging and resolve defects in UAT
- Troubleshoot data issues with data engineering teams
Perks/Benefits
- N/A
Skills/Tech-stack
Acceptance Testing | Apache Spark | Azure DevOps | CRM | Causal Inference | Clustering | Dash | Dashboarding | Data Quality | Data Reconciliation | Data Visualization | Databricks | Git | Integration Testing | Jira | LLM | Language Processing | Machine Learning | Multi-Touch Attribution | Multi-touch) | Natural Language | Natural Language Processing | Propensity Modeling | Python | R | R Shiny | Regression testing | Snowflake | Text Analytics | Unit Testing | Uplift Modeling | User Acceptance | User Acceptance Testing | Veeva
Education
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