Business Analyst, Support, Supply Chain

Amazon; Bengaluru; On-site; INR 1,100,000 - 1,800,000; Full time

Job summary

Amazon Bengaluru is seeking a highly analytical Business Analyst for the Supply Chain SSD team. You will surface insights from large datasets, build dashboards, and drive decisions that impact inventory placement, network flow, and cost drivers.

You will partner with Program Managers, Operations, Supply Chain, and Tech, write efficient SQL, develop ETL pipelines, and communicate findings to senior leadership with data-backed narratives.

Qualifications

• Bachelor's degree in a relevant field.
• Fluent English (speaking, writing and reading).
• Experience with Microsoft Office products and applications.

Responsibilities

• Deep-dive analytics on inventory placement, network flow, regional demand, fill rates, and cost drivers.
• Build, automate, and maintain dashboards for real-time visibility into placement and inventory health.
• Write production-grade SQL on large datasets and develop ETL pipelines and reusable data marts.
• Identify gaps and opportunities in placement logic and replenishment patterns with quantified impact.
• Partner with PMs and category teams to size opportunities and run controlled experiments.
• Own team metrics, weekly/monthly reviews, and investigate variances.
• Present findings to senior leadership with data-backed narratives.
• Identify manual workflows and automate them using SQL, Python, or scripting.

Skills

SQL

Data analysis

Dashboarding

Python

ETL

Education

Bachelor's degree

Tools

Redshift

Hive

Athena

QuickSight

Tableau

Job description

Description

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

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