Business Analyst Buyer Abuse Prevention -analytics jobs at Amazon in India

As a Business Intelligence Engineer, you'll be at the intersection of data and business strategy, translating complex requirements into actionable analytics solutions. You'll partner with stakeholders to unlock insights that elevate our global work authorization experiences and drive program scalability.Key job responsibilities
A successful candidate will demonstrate:Advanced SQL skills for writing complex queries and stored procedures to extract, transform, and analyze large datasets
Proficiency in Python, particularly with libraries like pandas and PySpark, for data manipulation and ETL processes
Strong analytical and problem-solving capabilities, with the ability to translate business requirements into efficient data solutions
Experience in designing and implementing scalable ETL pipelines that can handle large volumes of data
Expertise in data modeling and database optimization techniques to improve query performance
Ability to work with various data sources and formats, integrating them into cohesive data structures
Skill in developing and maintaining data warehouses and data lakes
Proficiency in using BI tools to create insightful visualizations and dashboardsExcellence in communicating technical concepts and data insights to both technical and non-technical audiences
A day in the life
You'll work closely with Product Managers, Software Developers, and business stakeholders to:
Perform deep-dive analyses to uncover actionable insights
Develop and automate data processes to improve efficiency
Present findings and recommendations to leadership

- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with scripting language (e.g., Python, Java, or R)
- Experience building and maintaining basic data artifacts (e.g., ETL, data models, queries)
- Experience applying basic statistical methods (e.g. regression) to difficult business problems
- Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports

- Bachelor's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis
- Experience in designing and implementing custom reporting systems using automation tools

As a Research Analyst (RA), you'll collaborate with experts to develop ML solutions for business needs. You'll drive product pilots, demonstrating innovative thinking and customer focus. You'll build scalable solutions, write high-quality code, and develop state-of-the-art ML models. You'll coordinate between science and software teams, optimizing solutions. The role requires thriving in ambiguous, fast-paced environments and working independently with ML models. This will require collaboration with local and global teams, which have process and technical expertise. Therefore, RA 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.Key job responsibilities
• Scoping, driving and delivering complex projects across multiple teams.
• Performs root cause analysis by understand the data need, get data / pull the data and analyze it to form the hypothesis and validate it using data.
• Conducting a thorough analysis of large datasets to identify patterns, trends, and insights that can inform the development of NLP applications.
• Developing and implementing machine learning models and deep learning architectures to improve NLP systems.
• Collaborate with seasoned Applied Scientists and propose best in class ML solutions for business requirements
• Dive deep to drive product pilots, demonstrate think big and customer obsession LPs to steer the product roadmap
• Build scalable solutions in partnership with Applied Scientists by developing technical intuition to write high quality code and develop state of the art ML models utilizing most recent research breakthroughs in academia and industry
• Coordinate design efforts between Sciences and Software teams to deliver optimized solutions
• Ability to thrive in an ambiguous, uncertain and fast moving ML usecase developments.
• Mentor Junior Research Analyst (RAs) and contribute to RA hiring

- • Bachelor's degree in Quantitative or STEM disciplines (Science, Technology, Engineering, Mathematics)
- • 3+ years of relevant work experience in solving real world business problems using machine learning, deep learning, data mining and statistical algorithms
- • Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory
- • Strong analytical thinking
- • Ability to creatively solve business problems, innovating new approaches where required and articulating ideas to a wide range of audiences using strong data, written and verbal communication skills
- • Ability to collaborate effectively across multiple teams and stakeholders, including development teams, product management and operations.

- • Master's degree with specialization in ML, NLP or Computer Vision preferred
- • 3+ years relevant work experience in a related field/s (project management, customer advocate, product owner, engineering, business analysis)
- • Diverse experience will be favored eg. a mix of experience across different roles - In-depth understanding of machine learning concepts including developing models and tuning the hyper-parameters, as well as deploying models and building ML service - Technical expertise, experience in Data science, ML and Statistics

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.We are currently expanding our infrastructure team and are looking for Rack Decom Technician. As part of the Rack Decom team, you will be responsible for processing and facilitating legacy Data Center equipment through a liquidation process to ensure that targeted equipment is ready to be removed off premises. You will also process large volumes of customer data to ensure that all customer data is sanitized and properly managed. You will develop familiarity with basic PC components/hardware (HDD/SSD/Flash/Removable storage media/Ram/CPU/Motherboard/Input-Output devices)This is an entry level position and qualified candidates do not require intimate details of software operations or networking protocols.There may be an element of shift based work and physically demanding work required with this role.
Key job responsibilities
- Decommissioning and processing of legacy hardware out of the data center facilities
- Adhere to security and safety best practices in the data center
- Unpacking/repacking fragile electronics
- Relocating and moving of large enterprise equipment
- Creating/attaching labels and barcodes
- Hard drive installation, removal and destruction
- Basic Networking hardware removal/installation and clearing of configurations.- Escalating to senior technicians and management as needed/required
- Familiarity with basic PC components/hardware: HDD/SSD/Flash/Removable storage media/USB/FireWire/Esata/Ram/CPU/Motherboard/Input-Output devices
- Laptop and basic IT software literacy- Ability to perform duties constantly and without deviations unless otherwise instructedA day in the life
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- High school or equivalent diploma
- Experience with computer hardware troubleshooting and repair
- Experience in networking

Key job responsibilities
• Lead documentation improvement initiatives across multiple operational processes
• Collaborate with cross-functional teams to update and maintain knowledge management systems
• Support business intelligence and data analytics projects
• Assist with system configurations and operational support
• Manage and track issue resolution across various platforms
• Partner with logistics service providers on operational improvements
A day in the lifeDiverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- • Currently enrolled in a Bachelor's or Master's degree program in Supply Chain Management, Logistics, Business Analytics, Engineering, or related field
- • Strong analytical and problem-solving skills
- • Excellent written and verbal communication abilities in English
- • Experience with data analysis and process documentation
- • Proficiency in Microsoft Office suite

- • Previous internship experience in program management, supply chain operations, and/or technical documentation
- • Familiarity with wiki platforms and documentation systems
- • Working knowledge in business intelligence/analytics (e.g. SQL, Python, etc.)
- • Experience in global transportation and/or logistics operations
- • Strong organizational skills with ability to manage multiple priorities

Key Focus Areas:
• Developing AI-powered systems for automated product safety assessment and compliance verification
• Building intelligent catalog management solutions using natural language processing and computer vision
• Creating generative AI tools to enhance seller safety and compliance processes
• Designing scalable architectures that combine traditional services with AI/ML capabilitiesThe Ideal Candidate Will Have:
• Strong software engineering fundamentals and experience with distributed systems
• Knowledge of machine learning frameworks and generative AI technologies (e.g., transformers, LLMs)
• Experience with AI model deployment, optimization, and monitoring in production environments
• Ability to tackle complex problems through data-driven experimentationWhat We Offer:
• Opportunity to work with state-of-the-art AI technologies and shape their application in e-commerce
• Exposure to global markets and diverse technical challenges
• Full-stack development experience across AI and traditional systems
• Collaboration with international teams of applied scientists, engineers, and product managers
• Innovation-focused environment with emphasis on continuous learning and experimentationKey job responsibilities
• Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market.
• Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry.
• Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed.
• Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use.
• Design and code the right solutions starting with broadly defined problems.
• Work in an agile environment to deliver high-quality software

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 3+ years of Video Games Industry (supporting title Development, Release, or Live Ops) experience
- Experience programming with at least one software programming language

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

Key job responsibilities
1. Working closely with the multiple CMT business, product/program teams to understand the business drivers, data availability and product challenges. This will require data gathering and manipulation, synthesis and modeling and problem solving.3. Build self-service reporting platforms, establishing automated processes for large scale data analysis.
4. Understand and write high quality queries to retrieve and analyze data (ongoing reporting and adhoc requests).6. Own end-to-end data architecture for new product launches.

- 8+ years of professional or military experience
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining

This is a technical lead role responsible to design, implement and scale: (1) Security and Governance to protect sensitive data, define access controls ensuring compliance with regulatory requirements, (2) Permissions strategy, (3) Policies and procedures for other engineers to ensure published content meets quality and performance benchmarks, and (4) DevOps and ML Ops. The role will also drive collaboration among BI engineers and foster knowledge sharing and act as a SPOC for the data engineering teams.Key job responsibilities
- Optimize and organize data pipelines into the visualization environment (QuickSight); contribute to data design, data modelling and data extracts/transforms.
- Build and manage ML pipelines, adapting CI/CD practices, model deployment, orchestration.- Define technical requirements for Data Engineering teams.
- Work in a genuinely global environment.

- Data engineering credentials.
- Advanced analytical skills and is detail-oriented, while also seeing and understanding the big picture.
- UI and UX design experience.
- Ability to display complex quantitative data in a simple, intuitive format and to present findings in a clear and concise manner.