Business Research Analyst

Business Research Analyst

Not Specified
Not Specified

Job Description

Job Description :
About 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 - 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 to research and develop technology that improves the lives of shoppers and sellers around the world.
About the role:
As a Research Analyst within RBS, you will work with product, technology and operations teams to drive complex solutions to address root cause issues of business problems. The solution will include but not limit to machine learning, artificial intelligence and computer visoon solutions, thereby contributing to improved customer experience on Amazon. You will also be responsible for identifying and driving new opportunities based on customer and business data, build solution, implement them and measure the performance.
An ideal candidate will be a self-starter who is passionate about discovering and solving complicated problems, learning complex systems, working with numbers, and organizing data to build complex solutions (AI/ML) . You will also be passionate about helping the team make great decisions based on data, possess exceptional skills in project management and data reporting, and be interested in e-commerce industry. You will be detail-oriented and organized, capable of handling multiple projects at once, and capable of dealing with ambiguity and rapidly changing priorities. You will have strong expertise in process optimizations and systems thinking and will be required to engage directly with multiple internal teams to drive business projects for the RBS team. Candidates must be successful both as individual contributors and in a team environment, and must be obsessed with serving the customer. Our environment is fast-paced and requires someone who is flexible, detail-oriented, and comfortable working in a deadline-driven work environment.
Basic Qualifications :
Functional -
. At least 24 months and above of prior work experience. Relevant analytics and business problem solving skills / professional experience
. Strong analytical skills - has ability to ask right questions, analyze data, draws conclusion by making appropriate assumptions
. Operate in a fast-moving and ambiguous environment and take ownership of achieving business objectives.
. Organization skills - demonstrated ability to work independently to make complex investigations
. Communication skills - ability to communicate (written and spoken) in English.
. Ability to communicate complex technical problems in simple plain stories to build and implement technical solutions
. Ability to present information professionally & concisely with supporting data
, conduct root cause analysis on the concessions data, provide recommendations for solutions and action plans based on deep-dive outcomes to eliminate defects and prevent concessions.
. Work effectively & independently in a fast-paced environment with tight deadlines
. Ability to engage with cross-functional teams and gather project/program requirements
. Outstanding attention to detail Exceptional problem solving skills
. Experience in modeling complex business scenarios
Technical -
. Proficiency in Python and R Programming & Selenium
. Proficiency in SQL and Advanced Excel (Array and Statistical formulas).Able to produce data.
. Familiar with systems, scripting - depending on the level of experience.
. Understanding of visualization tools such as Tableau
. Experience of managing Extract, Transform and Load (ETL) jobs
. Bachelor's degree in Engineering, Mathematics, Statistics or related field
. Automate the report generation process though use of tools and programing techniques: such as SQL, SAS, DW concepts & advanced Excel.
. Build and implement solutions using Python / Selenium
Preferred Qualifications :
. Experience in e-commerce industry
. Experience in business process improvement, Lean/Six Sigma a strong plus
. MBA/MS/M Tech from elite university preferably Operations Research/Statistics/AI/ML

About Amazon

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