Business Analyst - Supply Chain Support

Amazon India Limited; Bengaluru; On-site; INR 900,000 - 2,000,000; Full time

Job summary

Amazon India Limited in Bengaluru seeks a Business Analyst for Supply Chain SSD to drive data-driven decisions. You will surface insights from large datasets, build dashboards, and partner with program managers and operations to optimize inventory and network design.

The role emphasizes hands-on analytics, SQL, Python scripting, and the ability to work with imperfect data to deliver actionable recommendations. Strong business acumen is required.

Qualifications

• Bachelor's degree in a related field.
• Fluent in English (written and spoken).
• Experience with Microsoft Office applications.

Responsibilities

• Conduct complex analyses on inventory placement, network flow, and demand patterns.
• Own dashboards and reporting with real-time visibility for stakeholders.
• Write production-grade SQL and build ETL/data pipelines at scale.
• Identify gaps and quantify impact; frame as business problems.
• Collaborate with PMs and teams to size opportunities and run experiments.
• Define and track team metrics; present findings to leadership.

Skills

SQL

Dashboarding

Python

Data analysis

English fluency

Education

Bachelor's degree

Tools

Redshift

Hive

Athena

Tableau

QuickSight

Excel

Job description

Business Analyst, Support, Supply Chain

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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