RCO 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 operationalising and measuring data-driven insights for the organisation. 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 normalised 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 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
- Bachelors degree or equivalent
- Experience defining requirements and using data and metrics to draw business insights
- Experience with Excel
- Experience with SQL
- Experience making business recommendations and influencing stakeholders
- - Experience working with Tableau
- - Experience using very large datasets
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