Business Research Analyst I

Job Description

About Amazon.com:Amazon.com strives to be Earths 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. Amazons evolution from Web site to e-commerce partner to development platform is driven by the spirit of innovation that is part of the companys DNA. The worlds brightest technology minds come to Amazon.com to research and develop technology that improves the lives of shoppers and sellers around the world.About TeamThe RBS is an integral part of Amazon online product lifecycle and buying operations. The team is designed to ensure Amazon remains competitive in the online retail space with the best price, wide selection and good product information. The team s primary role is to create and enhance retail selection on the worldwide Amazon online catalog. The tasks handled by this group have a direct impact on customer buying decisions and online user experience.Overview of the roleThe Business research analyst (RA) will be responsible for continuous improvement projects across the RBS teams leading to each of its delivery levers. The long-term goal of the RA role is to eliminate Defects that impact selling partners or customer experience, and secondary goal is to enhance GMS/ FCF. This will require collaboration with local and global teams, which have process and technical expertise. RA is an Independent Contributor (IC) to perform a Big Data Analysis to identify defect patterns / process gaps for complex problems, to create long-term solutions to eliminate defects / issues, and to report impact / results. RA should work across VP teams , regional and/or cross-regional organizations to drive improvements. Leads projects and opportunities across the Operations (FCs, CS, Supply Chain, Transportation, Engineering) that are business critical, and may be global in natureKey Responsibilities for this Role:- Works on well-defined projects. Typically works on low to mid complex problem (or) usecase of large problems. Drives clarity through conducting analysis to support making a decision Should be able to influence Senior leaders and Business partners on given project by using data and anecdotes on size, scale, complexity and impact. Works autonomously; feedback on suitable models and frameworks for validation may be needed from Senior RAs and guidance from Engineers on hosting model. Solves a specific problem/usecase under guidance. Develop, test and prove a scalable lightweight solution and its impact. Measure the outcome/progress, present updates and communicate milestones in a structured manner to customers /Business partners Develop models using readymade algorithms. Build solutions/models for single language (or) well defined scope. Demonstrated expertise in SQL, Handling large data sets, Statistical analysis and developing classic ML models in Python. Adept at leveraging existing ML models / Data Science methods and fine tuning them to drive the desired output. Set data strategy for given problem: data needs to be feed into algorithm, data transformation and feature engineering Mentor team members on Tech skills and support team to upgrade team skills.Key Performance Areas: Solve large and complex business problems by aligning multiple teams together. Data analytics and Data Sciences Machine learning Automate the report generation process though use of tools and programing techniques: such as SQL, SAS, DW concepts & advanced Excel. Mine Data Warehousing (DW) platforms, Basic Qualifications Bachelor s degree in Engineering, Mathematics, Statistics or related field. Thorough knowledge of Statistics, Data Sciences and Machine Learning. At least 24 months and above of prior work experience Minimum 1Year relevant experience on analytics and delivering project using ML and Python skills. Experience of managing Extract, Transform and Load (ETL) jobs Preferred Qualifications Master degree / MBA Experience on product development Expertise in Deep learning models

Keyskills :
data analyticsmarketingdata analysisbig datasecondary researchcustomer relationsresearchdata warehousingglobal teamsdeep learningbloombergdata sciencebusiness research analysisonline retailsupply chain