Business Analyst Support Supply Chain

Amazon Inc.; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Amazon Inc. seeks a highly analytical Business Analyst to join the Supply Chain SSD team in Bengaluru. You will surface insights from large datasets, build dashboards, and partner with Program Managers, Operations, and Tech to fix inefficiencies and optimize placement and inventory.

The role requires hands-on data work with SQL, data pipelines, and self-service dashboards. You will translate observations into actionable recommendations and support senior leadership with crisp, data-driven

Qualifications

• Bachelors degree required.
• Fluent in English (written and spoken).
• Experience with data analysis and SQL.
• Experience with Microsoft Office products.

Responsibilities

• Deep-dive analytics on inventory placement, network flow, regional demand patterns, fill rates, and shipping cost drivers.
• Build, automate, and maintain self-serve dashboards (QuickSight, Tableau) with real-time visibility into placement and inventory metrics.
• Write production-grade SQL on large datasets (Redshift, Hive, Athena) and maintain ETL pipelines and reusable datasets.
• Identify gaps and opportunities in placement logic, replenishment, and inventory positioning with quantified impact.
• Partner with Program Managers and Category teams to size opportunities, run experiments, and recommend changes to placement strategy.
• Own the definition, tracking, and reporting of team metrics and weekly/monthly reviews.
• Present findings to senior leadership with data-backed narratives.
• Identify manual workflows and automate them using SQL/Python to raise productivity.

Skills

SQL

Dashboard development

Data storytelling

Python scripting

ETL pipelines

Education

Bachelor's degree

Tools

QuickSight

Tableau

Redshift

Hive

Athena

Python

Job description

Job 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

Basic Qualifications:

• Bachelors 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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