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Key job responsibilities- Automation of manual data processes, including data quality and validation
- Ability to run basic descriptive and predictive statistics models on complex data sets.
- Good knowledge of python and basic ML model (decision trees, random forests, clustering etc.) is compulsory.
- Ability to have end to end ownership and drive projects
- Reporting using widely available reporting tools, for instance Quicksight or Tableau
- Ability to translate ambiguous work-streams in to tangible requirements, and success metrics, including ability to build metrics and metrics decks.
- Ability to earn trust among widely differing stakeholders of different roles, responsibilities, geographical location, and, culture.
- 3+ years of tax, finance or a related analytical field experience
- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience
- 3+ years of business or financial analysis experience
- Experience defining requirements and using data and metrics to draw business insights
- Experience making business recommendations and influencing stakeholders
- Experience with Excel
- Bachelor's degree or equivalent
- Experience working with Tableau
- Experience using very large datasets
- In depth understanding of GenAI and any other AI related improvements
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