Business Analyst, Support, Supply Chain

Amazon is hiring a Business Analyst, Support, Supply Chain in Bengaluru, India. Level rates it ; you can apply on Level.

Level's read on this job

Little AI ●○○○ is how Level rates this business analyst role: aI is not part of the work.
The posting mentions SQL, Quicksight and Tableau among its tools and skills.
Level classes it as a mid-level role.
Amazon has 22,000+ other open roles on Level.
This posting went up in the last few days.

AI in this role

Business Analyst needed to analyze supply chain and inventory data, build SQL pipelines, and deliver actionable insights for the SSD team.

sqlquicksighttableauredshifthiveathena

data-analysisetldashboardingsupply-chainexperimentation

We are seeking a highly analytical and business-savvy Business Analyst to join our Supply Chain SSD team. In this role, you will be the analytical engine behind decisions impacting SSD business, the tip of the speed spear.
You will partner closely with Program Managers, Operations, Supply Chain, and Tech teams to identify inefficiencies, surface insights from large and complex datasets, and translate them into actionable recommendations. The ideal candidate is someone who lives and breathes data, has strong SQL chops, can build dashboards that tell a story, and brings sharp business acumen to identify and solve hard, ambiguous problems. We are looking for a hands-on operator - someone who does not wait for clean data or perfect requirements, but rolls up their sleeves, digs into the problem, and drives it to closure.

Key job responsibilities
∙ Deep-dive analytics: Independently scope, design, and execute complex analyses on inventory placement, network flow, regional demand patterns, fill rates, and outbound shipping cost drivers. Translate raw data into clear, actionable business insights.
∙ Dashboard and reporting ownership: Build, automate, and maintain self-serve dashboards (QuickSight, Tableau, or similar) that give stakeholders real-time visibility into key placement, inventory health, and network performance metrics.
∙ SQL and data engineering: Write efficient, production-grade SQL on large datasets (Redshift, Hive, Athena). Build and maintain ETL pipelines, data marts, and reusable datasets that scale across the team.
∙ Problem identification: Proactively find gaps, anomalies, and improvement opportunities in placement logic, replenishment patterns, and inventory positioning — often before stakeholders ask. Frame these as business problems with quantified impact.
∙ Drive business decisions: Partner with Program Managers and Category teams to size opportunities, run A/B tests or controlled experiments, and recommend changes to placement strategy, sourcing policies, or network design.
∙ Goal and metric ownership: Own the definition, tracking, and reporting of team-level metrics and weekly/monthly business reviews (WBR/MBR). Investigate variances and root-cause performance misses.
∙ Stakeholder communication: Present findings to senior leadership in crisp, data-backed narratives — both written documents and verbal reviews. Influence decisions without authority.
∙ Tooling and automation: Identify manual, repetitive workflows and automate them using SQL, Python, or scripting. Continuously raise the bar on team productivity.

Basic qualifications

- Bachelor's degree
- Speak, write, and read fluently in English
- Experience with Microsoft Office products and applications

Preferred qualifications

- Knowledge of data pipelining and extraction using SQL
- Knowledge of SQL and Excel at a moderate or advanced level
- Experience with data mining tools like SQL, SAS, SPSS, or similar

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, Support, Supply Chain 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. Open the description and count.

Key facts

Business Analyst, Support, Supply Chain 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 October 18, 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 AnalysisETLDashboardingSupply ChainExperimentationSQLQuicksightTableau

Also common in business analyst jobs at this level

AWS Azure Snowflake Generative AI Machine learning Google Cloud

Pay

Typical business analyst job: $103k

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 etl was part of your work. What did you do?
Tell me about a project where dashboarding was part of your work. What did you do?
Tell me about a project where supply chain was part of your work. What did you do?
Tell me about a project where experimentation was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Data Analysis, ETL, Dashboarding, Supply Chain, and Experimentation. 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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