Description

　　Amazon is looking for a Business Analyst in the Fresh team. This opportunity is ideal for candidates looking to have a steep learning curve, expand their knowledge of retail, e-commerce & customer behavior, and derive insights from data to influence key business decisions for Amazon customers and derive continuous improvement using data analysis.

　　Are you customer obsessed, flexible, smart and analytical, strategic yet execution focused and passionate about e-commerce, then come join us in our mission “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”.

　　Key job responsibilities

　　A Business Analyst role in the Fresh team is a high visibility role who works with multiple stakeholders and teams across the org to derive insights from data and support day to day business decisions.

　　Some of the key result areas include, but not limited to:

　　Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions

　　Ensure data accuracy by validating data for new and existing tools. Learn and understand a broad range of Amazon’s data resources and know how, when, and which to use and which not to use.

　　Work closely with marketing, product, category, customer service, tech and finance stakeholders to understand the business requirements and provide analyses.

　　Understand trends related to Amazon business and recommend strategies to stakeholders to help drive business growth.

　　Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations that will help shape the direction of the business.

　　The ideal candidate actively seeks to understand Amazon’s core business values and initiatives, and translates those into everyday practices.

　　A day in the life

　　This role provides opportunities to influence high impact / high visibility projects within the organization. To perform your daily tasks, one requires high attention to details, proven ability to manage multiple and competing priorities simultaneously. This is a fast-paced environment where continuous innovation is expected, a superior and crisp verbal/written communication is primary skill and ambiguity is a norm. Bias for action, customer obsession and ownership are some of key leadership principles this role should strive for.

　　This role requires superior analytical skill set, able to quickly address problems and apply analytical expertise to rapidly solution and deliver. The whole cycle would involve interaction with many teams. Successful candidates must thrive in fast-paced environments which encourage collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, extract and manipulate data across various data marts.

　　About the team

　　The Fresh Growth-CX Analytics team is responsible for providing analytics, insights and support to Amazon India Fresh Marketing and Product teams. The scope of this team includes managing weekly/monthly review decks, formulating new metrics, provide visibility to daily performance through automated reports and dashboards, building optimization tools. This is done by liaising with local and global technology teams to get things done through influence and/or with their support. Our roadmap includes long term projects that have quarterly deadlines and sprint projects that are executed in weekly sprints.

　　We are open to hiring candidates to work out of one of the following locations:

　　Bengaluru, KA, IND

　　Basic Qualifications

　　2+ years of data analytics or automation experience

　　2+ years of business analysis (dealing with large complex data) 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