Amazon's vision is to be the earths most customer centric company . The ambition of the Amazon payments business is to transform payments in India . The payments data team provides data and insights to the partner verticals so as to enable them to take decisions. This a senior role. The role requires team-work and building a business perspective. The individual will have to interact extensively with other members within the team, across business lines work in partnership with Machine Learning and Central Customer Analytic teams. There will be a steep learning curve, adding a fair amount of business skills to the individual.
Key job responsibilities
Ability to do exploratory analysis: Fetch data from systems and analyze trends
Identify consumer segments that need to be actioned to drive adoption of Amazon Pay
Developing India specific customer segmentation models to improve the efficiency of marketing and financing product roadmap inputs .
Establishing mechanisms for cross functional teams to consume customer insights to improve engagement along the customer life cycle
Ability to work with regulated(RBI, FIU, etc) bodies across IN
Ability to identify and deepdive at the most granular level and flag anomalies
Work with cross functional teams like Category, Product, Operations, etc- 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- -Advanced SQL / data mining skills -Extensive experience in reports/dashboards automation - Experience with statistical analysis (R/python) -Experience working with data visualization tools and creating data visualization concepts (Tableau preferred, D3 is a bonus) - E commerce experience is preferred
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