Are you passionate about data? Does the prospect of dealing with massive volumes of data excite you? Do you want to create the next-generation tools for intuitive data access for transportation operations?

We are looking for a Business Intelligence Engineer to help setup and deliver robust, structured reporting, analytics and models for the RBS Cost to Serve team. You will be a key contributor to shaping our strategic Defect Elimination program by equipping the program teams with the key analytics and insights.

You will have an eye for detail, proficient/advanced SQL/DW/Python and have a knack for solving challenging data and reporting challenges. The role requires you to feel comfortable working with and clearly communicating with other functional teams, regionally and globally.

The position will be based in Bangalore/Chennai/HYD. You will be reporting to a Sr Program Manager : Cost to Serve Analytics & Insights, working intensely with her (larger) project team, including Finance. The ideal candidate will be comfortable in a fast-paced, dynamic environment; will be a creative and an analytical problem solver with the opportunity to fulfill the Amazon motto to “Work Hard. Have Fun. Make History”.


Key job responsibilities
- Analysis of business requirements and translation into technical requirements. By support of senior colleagues integration into a working, stable and scalable system

- Independent realization of requirements for Business Intelligence and custom software development products

- Creation of test cases and guidance of business stakeholders within the testing process

- Presentation of solutions and implemented features within weekly sync up with business stakeholders

- Ownership of maintenance and error handling of deployed solutions

- Focus on project delivery


About the team
RBS Cost to Serve team aims to identify and eliminate waste, negative experiences, and non-value activities across the end-to-end remit of supply chain and dependent work streams that slow down resolution for our stakeholders. The primary objective is to reduce Cost To Serve for Amazon and enable “Free Cash Flow” by optimizing the Cost per shipped unit economics across the supply chain systems through Defect Elimination. Our program will support in establishing the end-to-end supply chain checkpoints on how the inventory moves inside Amazon to identify gaps, broken processes/policies to eliminate root causes of systemic difficulties rather than merely addressing symptoms, on behalf of our customers. This team will partner with internal/external stakeholders to establish the Cost to serve charter based on opportunity size and own specific unique initiatives that are beyond the existing team’s program scope.