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Expired Today : 75
Amazon
The VRMO BETS RPA Analytics aim to streamline operational efficiency through the implementation of front-end automation solutions. By leveraging Robotic Process Automation (RPA) technology, we will eliminate manual intervention points, optimize investigation handling time (HT), and enhance overall seller experience.Analytics is responsible for helping the Registrations & Compliance Operations teams in ongoing and long term strategic decision making. We help our business teams to build scalable capabilities for generating, operationalizing and measuring data-driven insights for the organization. We help our stakeholders shift from ad hoc insights to a programmatic approach to improve customer experience and operational efficiency. By providing transformed datasets, analytical solutions & insights to our stakeholders we help them take targeted actions and decisions. Sitting at the core of learning, experimenting and execution, we are committed to getting it right at the very first time.
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 statistics models on complex data sets.
- Good knowledge of python, RPA 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- 1+ years of tax, finance or a related analytical field experience
- 2+ years of complex Excel VBA macros writing experience
- Experience using Python or R for data analysis or statistical tools such as SAS
- Bachelor's degree or equivalent
- Experience defining requirements and using data and metrics to draw business insights
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