Business Research Analyst – II, RBS ACCX Program
About Amazon.com: 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.
Overview of the role: The Business Research Analyst will be responsible for data and machine learning part of continuous improvement projects across the Discoverability space. This will require collaboration with local and global teams. The Research Analyst should be a self‑starter who is passionate about discovering and solving complicated problems, learning complex systems, working with numbers, and organizing and communicating data and reports. The Research Analyst will perform big data analysis to identify patterns, train models to generate product‑to‑product relationship and product‑to‑brand & model relationship. The Research Analyst is also expected to continuously improve the ML/LLM solutions in terms of precision & recall, efficiency and scalability. The Research Analyst should be able to write clear and detailed functional specifications based on business requirements.
Key job responsibilities:
Scoping, driving, and delivering complex projects across multiple teams.
Performs root cause analysis by understanding the data need, getting data, pulling the data and analyzing it to form the hypothesis and validate it using data.
Builds programs to create a culture of continuous improvement within the business unit, fostering a customer‑centric focus on the quality, productivity, and scalability of our services.
Finds scalable solutions for business problems by executing pilots and building deterministic and ML/LLM models.
Manages meetings, business and technical discussions regarding their part of the projects.
Makes recommendations and decisions that impact development schedules and the success of a product or project.
Drives teams/partners to meet program and/or product goals.
Coordinates design effort between internal and external teams to develop optimal solutions.
Performs supporting research, conducts analysis of large parts of the projects and effectively interprets reports to identify opportunities, optimize processes, and implement changes.
Has ability to convince and interact with stakeholders at all levels to gather data and information or to execute and implement according to the plan.
Can deal with ambiguity and problem‑solve.
Communicates ideas effectively and with influence (both verbally and in writing) within and outside the team.
Key Performance Areas:
Solve large and complex business problems by aligning multiple teams together.
Data analytics and data sciences.
Machine learning.
Project/Program management.
Automation initiative conceptualization and implementation.
Big data analytics.
Product development – scoping and testing.
Defect elimination.
Agile continuous improvement.
About the team: The RBS group in Chennai/Bangalore 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.
Basic Qualifications
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience.
Experience with data visualization using Tableau, QuickSight, or similar tools.
Experience with data modeling, warehousing and building ETL pipelines.
Experience writing complex SQL queries.
Experience in statistical analysis packages such as R, SAS, and Matlab.
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.
Preferred Qualifications
Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift.
Experience in data mining, ETL, etc. and using databases in a business environment with large‑scale, complex datasets.
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