Cap Planning & WFM Analyst, Account Integrity

Amazon is hiring a Cap Planning & WFM Analyst, Account Integrity in Bengaluru, India. Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
The posting mentions SQL, Python and BI Tools 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

Builds capacity plans, data pipelines, and automation tools while occasionally leveraging prediction models and generative AI for fraud prevention.

SQLPythonBI Tools

capacity-planningworkforce-managementdata-pipelinesprediction-modelsgenerative-aiautomation

Amazon’s Account Integrity Team (AIT) within the Selling Partner Support organization is looking for a passionate, results-oriented Capacity Planning and Workforce Management (WFM) Analyst (similar to Business Analyst) to develop and execute annual and quarterly capacity planning cycles, manage the workforce schedules and lead the operations analytics and reporting. The incumbent will act as single point of contact for entire AIT and their key partners including Finance. The AIT team owns designing and building high performance software systems using machine learning that identify and prevent fraudulent activity and maintain high trust levels with our customers. Fraud and abuse prevention is a real-money game where our software and analytics teams strive to outsmart those who attempt to defraud Amazon and our customers.

Capacity Planning and WFM Analyst is an Individual Contributor for AIT, where you will i) collaborate with Program Managers, ML Managers, Operation Managers, and Risk Managers to understand the short-term and long-term business requirement to develop 5 capacity plans in a year and other process improvement related documents, ii) do workforce management, iii) build data pipelines and dashboards for Risk Mining and AIIS team, iv) build prediction models, Gen AI tools and drive automation initiatives.

Key job responsibilities
- Develop and Maintain data sets and pipelines and lead reporting to track and manage important KPIs and goals across Risk Mining and Investigation Operations.
- Collaborate with stakeholders and develop capacity plans to present to leadership
- Drive real-time adherence to the expected capacity against the actual performance to achieve service levels and efficiency metric goals
- Communicate and callout changes to incoming contact patterns to operations and program team
- Publish Weekly Business Reviews (WBRs) and focus on optimizing and automating the data pipeline
- Support the the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. within SQL and other BI tools
- Identify the process gaps and build mechanisms to improve the processes

A day in the life
1. Build and run data pipelines to publish high quality WBR deck on time
2. Perform data analysis to provide insights to Operations, Risk Mining and Product teams
3. Lead the workforce management to ensure the Ops metrics are meeting the targets
4. Collaborate with stakeholders to understand their short-term and long-term requirement to build annual and quarterly capacity plans
5. Work with finance partners and contribute to Monthly and Quarterly Finance Reviews

About the team
This role will support existing teams that are based out of Costa Rica, India and the US.

Basic qualifications

- Bachelor's degree or equivalent
- 1+ years of Excel or Tableau (data manipulation, macros, charts and pivot tables) experience
- Experience creating complex SQL queries joining multiple datasets, ETL DW concepts

Preferred qualifications

- Master's degree in business, engineering, statistics, computer science, mathematics or related field
- Ability to leverage Gen AI tools

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

Cap Planning & WFM Analyst, Account Integrity at Amazon rates 30 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

Cap Planning & WFM Analyst, Account Integrity 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 September 2, 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

Capacity PlanningWorkforce ManagementData PipelinesPrediction ModelsGenerative AIAutomationSQLPython

Questions you could be asked

Tell me about a project where capacity planning was part of your work. What did you do?
Tell me about a project where workforce management was part of your work. What did you do?
Tell me about a project where data pipelines was part of your work. What did you do?
Tell me about a project where prediction models was part of your work. What did you do?
Tell me about a project where generative ai was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Capacity Planning, Workforce Management, Data Pipelines, Prediction Models, and Generative AI. 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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