Key job responsibilities:

• Build and curation of relevant datasets, including potentially normalized schemas using SQL and DDL, which are understandable by colleagues and data customers.
• Automation of manual data processes, including data quality and validation
• Ability to run basic descriptive and predictive statistical models on complex data sets.
• Good knowledge of Python and basic ML models (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 into tangible requirements, and success metrics, including the ability to build metrics and metrics decks.
• Ability to earn trust among widely differing stakeholders of different roles, responsibilities, geographical locations, and, cultures.

BASIC QUALIFICATIONS:

• 3+ years of tax, finance, or a related analytical field experience
• Experience defining requirements and using data and metrics to draw business insights
• Experience making business recommendations and influencing stakeholders
• Experience with Excel

PREFERRED QUALIFICATIONS:

• 3+ years of tax, finance, or a related analytical field experience
• Experience defining requirements and using data and metrics to draw business insights
• Experience making business recommendations and influencing stakeholders
• Experience with Excel