Snr Business Analytics Manager, SWOTS [VRMO]

Amazon is hiring a Snr Business Analytics Manager, SWOTS [VRMO] in Bengaluru, India. Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this role is Uses AI ●●○○: an ordinary role that requires AI tools.
Tools and skills the posting cites include Python, Dashboards and AI Tools.
Level classifies it as a senior role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Lead business analytics, build AI-powered reporting automation, and drive fraud prevention strategies for e-commerce operations.

PythonDashboardsAI ToolsGenerative AI

data-analyticsfraud-preventionstrategyreporting-automation

We detect and prevent fraud among hundreds of millions of e-Commerce transactions in different countries. We create a trusted store where millions of buyers and sellers can safely transact online. What kinds of processes and systems would you build to optimize our data analytics and MIS?

About the Team: We are a highly diverse team comprising individuals from various backgrounds who ensure Amazon continues to remain a safe place for our selling partners to do business on our platform. We welcome professionals who are open to new ideas and perspectives. Our team's strength lies in our ability to leverage our diverse experiences and expertise to drive innovation and solve complex challenges. We value collaboration, creativity, and a willingness to embrace different viewpoints.

At Amazon, you'll work alongside the latest AI and GenAI tools that are increasingly woven into how teams operate — from AI-powered capabilities that accelerate decision-making, to Generative AI that helps you focus on work that truly matters. You'll have opportunities and resources to develop fast-paced AI fluency , with continuous learning built into the culture.

Role Summary
We are seeking an experienced Data Analytics Leader with a passion for analyzing data and surfacing key insights that drive strategic shifts and business decisions. Operating with significant autonomy and discretion, you will drive the development of solutions to some of the company's most challenging business issues and help scale the network rapidly and safely with your strategy. You must be curious, willing to try, to learn, and to collaborate with a high-performing team. In this role, you will focus on strategy and storytelling, i.e., deciding what to measure, why it matters, and what action to take. You will build and own measurement frameworks that translate operational workflow signals, multi-channel content performance data, and business patterns into narratives and recommendations. You will lead recurring strategy sessions, write analytical narratives for global business reviews, build AI-powered automation that reduces manual reporting burden, and surface insights at scale using dashboards, Python, and intelligent agents.

You will manage relationships across a global team of technical and non-technical strategists and upstream partners (data engineers, business intelligence engineers) who support our data infrastructure. You will represent findings to senior leadership and partner cross-functionally to innovate on how we reach and engage our workforce effectively. This role requires someone who thinks critically and probabilistically — exploring what data might mean rather than jumping to conclusions — and who can build scalable systems from ambiguity. We look for candidates who are excellent communicators, self-motivated, flexible, smart-working, and like to make history — and have fun doing it!

Key job responsibilities
> Define and execute the data analytics strategy aligned to operational goals, delivering insights that drive measurable improvements in cost, quality, and performance

> Improve data accuracy of key business metrics and optimize process flows that strengthen the organization's data pipeline and upstream tables

> Drive implementation of new tools, models, and AI-powered automation that reduce manual reporting burden and scale analytical impact

> Build measurement frameworks, write compelling business documents, develop data visualizations, and deliver analytical narratives for global business reviews

> Lead and develop a team of Business Analysts and Program Managers; set clear goals, provide coaching, and create career development pathways

> Partner with senior operations leaders to identify opportunities, frame analytical questions, and deliver data-driven recommendations

> Manage relationships across global technical and non-technical teams; represent findings to senior leadership and drive action on insights

> Contribute to program and functional growth through innovation, benchmarking, and scalable solutions delivering measurable cost savings or efficiency gains through analytics

About the team
VRMO - Our globe of Operations {Verification & Risk Management Ops]: Here, we verify identity of all the selling partners who sells on Amazon. We comply with the Amazon Pay regulatory requirements through our verification bar and we proactively detect bad actors and eliminate them from our ecosystem.

SWOTS - Strategic Workforce Optimization & Tactical Solutions: Anchoring centrally all key business support programs, enabling the VRMO (and SPIV) organization through operational excellence owning 7 key capabilities i) Forecasting, ii) HC Planning, OPEX Budgeting (GPSS) and WFM, iii) Data Analytics & MIS (CIA), iv) Data Security, v) BCP, and vi) 3P Outsourcing and Vendor cost governance.

Basic qualifications

- 5+ years of data interpretation and analysis to influence stakeholders experience
- 5+ years of program or project Management experience
- 6+ years of team management experience
- Knowledge of at least one data-focused technology tool, such as Python, SQL, Alteryx, Amazon QuickSight, or similar
- 5+ years of program requirements definition and data and metrics leveraging to drive improvements experience
- 5+ years of working cross functionally with non-tech teams experience

Preferred qualifications

- Master's degree in Business, Economics, Statistics, Engineering, or a related field
- Knowledge of Six Sigma tools and Lean techniques
- Experience using managed ML/AI solutions

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Snr Business Analytics Manager, SWOTS [VRMO] at Amazon rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Snr Business Analytics Manager, SWOTS [VRMO] is an open job at Amazon.
Level rates this role AI Level 2 of 4: Uses AI.
The role is based in IN, KA, Bengaluru.
The job was posted on July 15, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data AnalyticsFraud PreventionStrategyReporting AutomationPythonDashboardsAI ToolsGenerative AI

Questions you could be asked

Tell me about a project where data analytics was part of your work. What did you do?
Tell me about a project where fraud prevention was part of your work. What did you do?
Tell me about a project where strategy was part of your work. What did you do?
Tell me about a project where reporting automation was part of your work. What did you do?
Walk me through how you've used Python in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Data Analytics, Fraud Prevention, Strategy, Reporting Automation, and Python. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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