Business Analyst II, Verification Risk Management Ops- Analytics

Amazon is hiring a Business Analyst II, Verification Risk Management Ops- Analytics in Bengaluru, India. Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this business analyst role is Little AI ●○○○: aI is not part of the work.
The posting mentions SQL, Python and JavaScript among its tools and skills.
Level classes it as a mid-level role.
Amazon has 20,000+ other open roles on Level.

AI in this role

Analyze complex business data, automate data processes, and build reporting solutions within Verification Risk Management Ops.

SQLPythonJavaScriptQuicksightTableauPowerbiAWS

data-analysisdata-wranglingautomationreporting

Amazon's Verification & Risk Management Operations (VRMO) mission is to make Amazon the safest and most trusted place worldwide to transact online, either by identifying and reporting bad actors or mitigating risk and adhering to compliance laws and regulations according to market-specific, regional, or global direction. Amazon runs one of the most dynamic online platforms, encompassing dozens of global products with compliance requirements, including, Amazon Marketplace with over 2 million sellers worldwide selling hundreds of millions of items in eleven countries, Amazon Pay and MTurk.

VRMO designs and builds the software systems, risk models and operational processes that minimise risk and maximise trust across Amazon's global product surface area, by ensuring every transaction and entity is compliant.

We are looking for a highly analytical and result-oriented Business Analyst who can analyse business decisions, troubleshoot issues, and communicate the findings effectively across different teams while raising the technical bar of the globally distributed analytics team, providing data wrangling expertise, deep understanding of data fundamentals, working with and synthesising very large datasets.

We utilise multiple externally and internally (AWS and other) developed data platforms, including real-time and close to real-time platforms, to help create signal out of the mountains of data.

Our ideal analyst is one who enjoys discovering and solving complicated problems, can quickly learn complex systems, likes to work with numbers, and takes pride in organising and communicating his work. You should have the technical experience and knowledge to work comfortably using SQL, QuickSight/Tableau/PowerBI and scripting languages (Python/JavaScript) Additionally experience with designing data schemas that will allow you, and colleagues, which include Business Intelligence Engineers and Data Engineers to make sense of the vast datasets we possess.

Key job responsibilities
• Organisation skills – demonstrated ability to work independently to make complex investigations, has self-discipline, is diligent and can manage time appropriately.
• Communication skills – ability to communicate (written and spoken) in English. Demonstrated ability to communicate complex technical problems in simple plain stories
• Automation of manual data processes, including data quality and validation
• Reporting using widely available reporting tools, for instance Quicksight or Tableau
• Ability to translate ambiguous work-streams in to tangible requirements, and success metrics, including ability to build metrics and metrics decks.
• Ability to earn trust among widely differing stakeholders of different roles, responsibilities, geographical location, and, culture.

Basic qualifications

- 3+ years of tax, finance or a related analytical field experience
- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience
- 3+ years of business or financial analysis experience
- Experience defining requirements and using data and metrics to draw business insights
- Experience making business recommendations and influencing stakeholders
- Experience with Excel

Preferred qualifications

- Bachelor's degree or equivalent

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

Business Analyst II, Verification Risk Management Ops- Analytics at Amazon rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● 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

Business Analyst II, Verification Risk Management Ops- Analytics is an open job at Amazon.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in IN, KA, Bengaluru.
The job was posted on August 5, 2026.
Seniority: mid.
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 AnalysisData WranglingAutomationReportingSQLPythonJavaScriptQuicksight

Also common in business analyst jobs at this level

Azure Generative AI Java Snowflake Machine learning Google Cloud

Pay

Typical business analyst job: $95k

This posting doesn't list pay. Use the typical business analyst figure when pay comes up. See business analyst jobs

Questions you could be asked

Tell me about a project where data analysis was part of your work. What did you do?
Tell me about a project where data wrangling was part of your work. What did you do?
Tell me about a project where automation was part of your work. What did you do?
Tell me about a project where reporting was part of your work. What did you do?
Walk me through how you've used SQL in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Data Analysis, Data Wrangling, Automation, Reporting, and SQL. 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.

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