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

Key job responsibilities
• Defining, developing and maintaining critical business and operational metrics reviewed on a weekly, monthly, quarterly, and annual basis.
• Analysis of historical data to identify trends and support decision making, including written and verbal presentation of results and recommendations.
• Collaborating with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of reports.
• Identifying data needs and driving data quality improvement projects.
• Thought leadership on data mining and analysis. Understanding the broad range of Amazon’s data resources, which to use, how, and when. Mining and manipulating data from database tables, simulation results, and log files.

- 4+ years of SQL experience
- 7+ years of business intelligence and analytics experience
- Experience with SQL
- Experience with ETL
- Experience with data visualization using Tableau, Quicksight, or similar tools

- 4+ years of working with very large data warehousing environment experience
- 10+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience

To be successful in this role, you will need to have:
* A strong track record of building and leading high-performing teams
* A deep understanding of software development principles and practices
* Excellent project management skills
* Excellent communication skills
* A passion for delivering innovative and user-friendly products.Key job responsibilities
In this role, you will be responsible for:
* Building, maintaining, and organizing your team
* Defining your technical strategy and product roadmap
* Defining, measuring, and reporting on your key performance and operational excellence metrics
* Recruiting and retaining top talent
* Driving clarity in highly ambiguous technical environments
* Developing long-term technical roadmaps
* Guiding and coaching developers
* Managing projects effectively
* Communicating effectively with both technical and non-technical audiences
* Motivating your team to achieve results in a fast-paced environmentA day in the life

- 7+ years of engineering experience
- 3+ years of engineering team management experience
- 8+ years of leading the definition and development of multi tier web services experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Bachelor's degree

- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers

Key job responsibilities
• Defining, developing and maintaining critical business and operational metrics reviewed on a weekly, monthly, quarterly, and annual basis.
• Analysis of historical data to identify trends and support decision making, including written and verbal presentation of results and recommendations.
• Collaborating with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of reports.
• Identifying data needs and driving data quality improvement projects.
• Thought leadership on data mining and analysis. Understanding the broad range of Amazon’s data resources, which to use, how, and when. Mining and manipulating data from database tables, simulation results, and log files.

- 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 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
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

Key job responsibilities
1. Develops and implements new tools to support the business
2. Creating, supporting and continuously improving reports and metrics that support the business operations
3. Converting data into digestible business intelligence and actionable information using tools like Quicksight/Tableau
4. Shaping and delivering key metrics, reports, and indicators by which our business will assess its performance
5. Diving deep into large data sets to answer specific business questions using Excel, SQL and other data manipulation languages

- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience
- Experience defining requirements and using data and metrics to draw business insights
- Experience making business recommendations and influencing stakeholders
- 3+ years of business analyst, data analyst or similar role experience

- 3+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience

Key job responsibilities
1. Develops and implements new tools to support the business
2. Creating, supporting and continuously improving reports and metrics that support the business operations
3. Converting data into digestible business intelligence and actionable information using tools like Quicksight/Tableau
4. Shaping and delivering key metrics, reports, and indicators by which our business will assess its performance
5. Diving deep into large data sets to answer specific business questions using Excel, SQL and other data manipulation languages

- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience
- Experience defining requirements and using data and metrics to draw business insights
- Experience making business recommendations and influencing stakeholders
- 3+ years of business analyst, data analyst or similar role experience

- 3+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience

As an SDE / MLE, you will be part of a team that adds new capabilities with multiple visual/audio analytic methodologies. The solutions heavily leverage AI and quantitative analysis to challenge conventional wisdom with hard data. Our SDEs use technology to solve complex problems and get to see the impact of their work first-hand.Key job responsibilities
Ability to quickly learn new technologies and algorithms in the field of Generative AI.Stay up-to-date with advancements and the latest modeling techniques in the fieldWork closely with applied scientists, engineers and product managers to design, implement and launch AI solutions end-to-endWrite high-quality, maintainable code while following best practices and design patternsOwn end to end deployment at scale of Generative and ML methods.Build and optimize automated data collection frameworks across different surfaces (web, mobile)Participate in code reviews and contribute to technical documentationDebug production issues and implement performance improvementsContribute to architecture decisions and technical strategyA day in the life
You'll work closely with Product Managers, Data Scientists, and other engineers to build tools that enable large-scale data collection and analysis. You'll tackle challenges ranging from agentic framework development to implementing new features for our self-service platforms, while ensuring high performance and reliability.

- 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
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design

- 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
- Experience building complex software systems that have been successfully delivered to customers

Key job responsibilities
You will contribute directly to AI agent development in an applied research role, including model training, dataset design, and pre- and post-training optimization. You will be hired as a Member of Technical Staff.

- PhD degree in Computer Science or a related field
- Proficiency in Python, Java, C++, or related language
- Experience with deep learning methods and tools, e.g., PyTorch, JAX

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.