Amazon Development Centre (India) Private Limited

OPENS AT: Aug 26, 12:30 PM

CLOSES AT: Sep 05, 12:30 AM

DURATION: 9 days 12h

Amazon Business Research Analyst Hiring Challenge

Online Participation is confidential
Programming Challenge
Business Research Analyst I
1 years+
As per company benchmark
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Prepare for your technical interviews by solving questions asked previously by top tech companies.

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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.

Come join the best-in-class team of engineers, who are owners, and inventors!

Eligibility Criteria:

  • Years of experience: 1+ years

Challenge Format:

  • 1 Machine Learning Question


Business Research Analyst I
Experience: 1 years+

About Team

The RBS is an integral part of Amazon's 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 role

The 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 the secondary goal is to enhance GMS (General merchandise sales)/ FCF (Free cash flow). 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, create long-term solutions to eliminate defects/issues and to report impact/results. RA should work across VP teams, and 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 maybe global in nature

Key Responsibilities for this Role:-

  • Works on well-defined projects. Typically works on low to mid complex problems (or) use 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 the hosting model.
  • Solves a specific problem/use case 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 a 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 a 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 (Deep Learning)
  • Automate the report generation process through the use of tools and programming 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 1 Year of relevant experience in analytics and delivering projects using ML, Python & SQL skills.
  • Experience in managing Extract, Transform and Load (ETL) jobs 

Preferred Qualifications 

  • Master's degree / MBA 
  • Experience in product development 
  • Expertise in Deep learning models


When launched in 1995, it was with the mission “To be Earth’s most customer-centric company.” What does this mean? It's simple. We're a company that obsesses ove...



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