Job Information
Amazon Business Analyst Support, Network Engineering Business in Bengaluru, India
Description
Amazon.com strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience - Amazon.com continues to grow and evolve as a world-class e-commerce platform. Amazon's evolution from Web site to e-commerce partner to development platform is driven by the spirit of innovation that is part of the company's DNA.
We are looking for a motivated individual to join the IN Network Engineering Team (Supply Chain Execution) team. This team will provide an unique opportunity for the individual to work and gain exposure in First mile, Middle mile and Last mile capacity planning.
In this role, you will be interacting very closely with multiple stakeholders like Category, Finance, Operations, S&OP, Network, Procurement, Real estate, Returns and 3P teams for executing long term and short term projects.
Key job responsibilities
• Support in anchoring the 1 year and 3 year planning cycles with multiple stakeholder teams
• Work on First mile, Middle mile and Last mile topology and the build plan
• Anchor the short term execution projects related to Automating adhoc tasks
• Suggest and drive improvement initiatives related to Network configuration and quickly delivery coding results
• Build automated reports with minimal / no person dependencies
• An ideal candidate will demonstrate strong deep dive, invent & simplify and end-to-end ownership of project delivery
• Candidate should be strong in modular approach to problem solving and break down complex situations to simple problem statements
We are open to hiring candidates to work out of one of the following locations:
Bengaluru, KA, IND
Basic Qualifications
1+ years of data analytics or automation experience
1+ years of capacity planning, operations planning, business analysis or similar experience
Bachelor's degree
Knowledge of data pipelining and extraction using SQL
Knowledge of SQL and Excel at a moderate or advanced level
Experience with data mining tools like SQL, SAS, SPSS, or similar
Preferred Qualifications
- Knowledge of SQL/Python/R, scripting, MS Excel, table joins, and aggregate analytical functions