Job Description

• 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

This role is part of the rekindle returnship program
Note : For more details on rekindle program, pls visit - https://www.amazon.jobs/en/landing_pages/rekindle

Amazon category finance requires a BA who will help us make effective decisions based on data from multiple sources, compiling it and triangulating it into a digestible and actionable format. This will help us provide historic information of our customer behaviour, our profitability metrics and make effective decisions for future.
The BIE will create pipelines for reports to analyze data, make sense of the results and be able to explain what it all means to key stakeholders. This individual will analyze large amounts of data, discover and solve real world problems and build metrics and business cases around key performance of this program. The ideal candidate will use a customer backwards approach in deriving insights and identifying actions we can take to improve the customer experience and conversion for the program.



Main Responsibility includes:
A successful candidate should be able to understand the business, create data pipelines in a sustainable and scalable manner. He should be able to understand the business drivers and marry them to financial data to ensure accurate reporting and draw actionable insights out of the information

• Create customized segmentation solutions which will inform the insights; create multiple segmentation analyses, each of which involves a different approach, based on the type of data source

(Customer level, ASIN level, Brand level)

• Create scale-able and self-serve approaches for the finance and category team that would require a deep understanding of the data and different dashboarding techniques, given the dynamic nature of requests; employ long-term and adhoc optimization techniques involving quality codefor the dashboards to run smoothly and be scale-able
• Be responsible for setting up the analytics infrastructure
• Provide data and analytics to finance team, create bulls-eye reports and provide insights into metrics at multiple levels to measure efficiency
• Build scale-able and self-service analytical approaches that can be used by the business and finance teams for analyzing the outcome of business decisions
• Manage ad hoc projects, as well as define and deliver ongoing dashboards, reports to provide actionable insights
• work with cross-functional teams on day-to-day execution and long-term expansion plans
• The successful candidate will be an expert with analyzing large data sets and have exemplary communication skills. The candidate will need to be a self-starter, very comfortable with ambiguity in a fast-paced and ever-changing environment, and able to think big while paying careful attention to detail.

Experience in setting up analytics infrastructure