Amazon

Business Analyst, External Fulfilment

Posted On

Feb. 10, 2025

Location

Bengaluru, Karnataka

Experience Level

Freshers/Experienced

Job Type

Fulfillment & Operations Management

Apply By

July 22, 2025

Job 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. The world's brightest technology minds come to Amazon.com to research and develop technology that improves the lives of shoppers and sellers around the world.

Amazon Worldwide Operations is the underlying fulfillment and customer service engine that ensures Amazon creates the same consistent, world-class customer experience every time. We are looking for high-potential, flexible, innovative, and forward-thinking professionals to join our India Operations team.

In our effort to support this rapid growth around the world, we are looking for a passionate business analyst to turn data into actionable insights, and support answer strategic business questions.
In this role, you will be responsible for data mining and data reporting activities pertaining to ops processes and speed. You should be passionate about working with complex datasets and be someone who loves to turn data into insights to answer strategic business questions. You should have deep expertise in analytic view of business questions, building up & refining metrics framework to measure business operation and translating data into meaningful insights.
With customer obsession and a high sense of ownership, you will utilize your skills to identify patterns and any disruptions in it. You should be able to dive deep, scrutinize details and foresee data implications. The candidate relishes working with large volumes of data, enjoys the challenge of highly complex technical contexts, and, above all else, is passionate about data and analytics. He/she is an expert with data modeling, ETL design and business intelligence tools, has hand-on knowledge on columnar databases such as Redshift and other related AWS technologies. He/she passionately partners with the customers to identify strategic opportunities in the field of data engineering. He/she is a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail) and enjoys working in a fast-paced team that continuously learns and evolves on a day to day basis.

Key job responsibilities
• Driving critical metrics to monitor and optimize the business
• Generating actionable Insights through Analysis of Key metrics across functions
• Identify the root cause through deep analysis of data to reach a point where actionable solutions can be designed.
• Track, measure and report various initiatives to improve defects leading to reimbursements and improve selling partner experience
• Define, track Key metrics that need to be monitored to improve defects leading to reimbursements and improve selling partner experience
• Devise mechanisms for control, performance monitoring, and reporting to internal stakeholders.
Assist in investigating and drafting cost / benefit analysis and business requirements showcasing potential solutions for business initiatives,
• Working cross-functionally with business teams to ensure development and implementation of programs as per timelines.
• Designing and implementing reporting solutions to enable stakeholders to manage the business and make effective decisions.
• Developing basic scripts to process data to support business analysis, benchmarking, and optimization efforts
- Bachelor's degree or equivalent
- Experience defining requirements and using data and metrics to draw business insights
- Experience with SQL or ETL
- Knowledge of Python, VBA, Macros, Selenium scripts

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