Business Analyst I, Retail Business Services (RBS) - Brand Experience
Amazon.com
Are you passionate about solving business challenges at a global scale? Retail Business Services - BX team is looking for an experienced Business Analyst to join Retail Business Services to enable insights which help our selling partners to take their businesses to next level. The candidate will have to understand and implement new and repeatable processes to improve our strategic insights for selling partner. They will do this by partnering stakeholders and digging deep into the business challenges to understand and identify insights that will enable us to figure out standards to improve our ability to globally scale this program. They will be comfortable delivering/presenting these recommended solutions by retrieving and integrating artifacts in a format that is immediately useful to improve the business decision-making process. This role requires an individual with excellent analytical abilities as well as an outstanding business acumen. The candidate knows and values our customers (internal and external) and will work back from the customer to create structured processes for global expansions and help integrate new countries/new acquisitions into the existing program. They are experts in partnering and earning trust with operations/business leaders to drive these key business decisions.
Key job responsibilities
Key job responsibilities
An ideal candidate for this role:
· Will have relevant experience in data analytics working with large data sets and to extract and transform data using various tools and technologies
· Will transform data into actionable business information, and will make it readily accessible to stakeholders worldwide
· Will use data to support ideas, drive actionable outcomes, and provide unique ways to present data and information in an easy to consume format
· Will be passionate about finding root causes, trends, and patterns and how they impact business.
· Will draw inferences and conclusions, create dashboards and visualizations of processed data
· Will have business and communication skills to be able to work with product owners to understand key business questions to build reports that enable product owners to answer those questions quickly and accurately
. Will be very comfortable juggling competing priorities and handling some level of ambiguity
. Will thrive in an agile and fast-paced environment on highly visible projects and initiatives
About the team
Amazon.com, Inc. (NASDAQ:AMZN), a Fortune 500 company based in Seattle, opened on the World Wide Web in July 1995 and today offers Earth's Biggest Selection. Amazon.com, Inc. seeks to be Earth's most customer-centric company, where customers can find and discover anything they might want to buy online, and endeavors to offer its customers the lowest possible prices. Today, we operate retail websites in nine countries, offering millions of products in more than 40 categories worldwide, and we still like to work hard, have fun and make history!
Retail Business Services (RBS) leverages technology to improve customer experience and selling partner experience while lowering Amazon’s cost structure. Vision of RBS is to accelerate Amazon’s flywheel by
- Improving the customer experience by fixing detail page catalog defects at scale
- Improving selling partner listing quality to drive GMS and reducing fulfillment defects to drive profitability and
We strive to eliminate the root cause of the defect and wherever not possible, we leverage machine learning to find and fix at scale or surface to selling partners. RBS has multiple programs/services aimed at reducing the listing friction, improving listing quality, reducing customer returns and improving star ratings of products that are dependent on selling partner support for effective execution.
Key job responsibilities
Key job responsibilities
An ideal candidate for this role:
· Will have relevant experience in data analytics working with large data sets and to extract and transform data using various tools and technologies
· Will transform data into actionable business information, and will make it readily accessible to stakeholders worldwide
· Will use data to support ideas, drive actionable outcomes, and provide unique ways to present data and information in an easy to consume format
· Will be passionate about finding root causes, trends, and patterns and how they impact business.
· Will draw inferences and conclusions, create dashboards and visualizations of processed data
· Will have business and communication skills to be able to work with product owners to understand key business questions to build reports that enable product owners to answer those questions quickly and accurately
. Will be very comfortable juggling competing priorities and handling some level of ambiguity
. Will thrive in an agile and fast-paced environment on highly visible projects and initiatives
About the team
Amazon.com, Inc. (NASDAQ:AMZN), a Fortune 500 company based in Seattle, opened on the World Wide Web in July 1995 and today offers Earth's Biggest Selection. Amazon.com, Inc. seeks to be Earth's most customer-centric company, where customers can find and discover anything they might want to buy online, and endeavors to offer its customers the lowest possible prices. Today, we operate retail websites in nine countries, offering millions of products in more than 40 categories worldwide, and we still like to work hard, have fun and make history!
Retail Business Services (RBS) leverages technology to improve customer experience and selling partner experience while lowering Amazon’s cost structure. Vision of RBS is to accelerate Amazon’s flywheel by
- Improving the customer experience by fixing detail page catalog defects at scale
- Improving selling partner listing quality to drive GMS and reducing fulfillment defects to drive profitability and
We strive to eliminate the root cause of the defect and wherever not possible, we leverage machine learning to find and fix at scale or surface to selling partners. RBS has multiple programs/services aimed at reducing the listing friction, improving listing quality, reducing customer returns and improving star ratings of products that are dependent on selling partner support for effective execution.
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