Business Analyst - ATS INSC

Amazon Inc.; Bengaluru; On-site; INR 400,000 - 650,000; Full time

Job summary

Amazon India invites a skilled Business Analyst to join the INSC CF MM team within the Operations domain. The role emphasizes data-driven decision making, automation, and scalable processes across consumer experience improvements.

You will work with SQL, Amazon S3 and QuickSight to generate insights and drive end‑to‑end improvements in a fast-paced setting, collaborating with cross-functional teams.

Qualifications

• 1+ years in a customer-facing environment, warehousing, logistics or manufacturing.
• Bachelor's degree
• Fluent in English (spoken, written and reading)
• Experience with Microsoft Office and Excel
• Bachelor's degree in engineering, statistics or business, or CFA with data analytics experience
• Knowledge of data pipelining and extraction using SQL
• Knowledge of and proficiency in Excel and SQL
• Experience with data mining tools like SQL, SAS, SPSS, or similar

Responsibilities

• Set up robust processes to drive consumer experience improvements.
• Identify, plan and execute automation projects to improve efficiency.
• Create and work on data using SQL, S3 and QuickSight for actionable insights.
• Support growth in constrained environments with scalable solutions.
• Make existing processes scalable using tools, automation and AI.
• Roll out best practices from other geographies to minimize supply chain losses.
• Partner with stakeholders to translate operational challenges into data-backed recommendations.
• Influence decisions across business, operations and technical audiences.

Skills

SQL

Excel

Power BI

Tableau

SAS

SPSS

Python

Big data

Education

Bachelor's degree

CFA

Engineering/Statistics/Business

Tools

Microsoft Office

ETL Manager

SQL

Job description

Amazon – where builders can build! We’re looking for a smart, customer-obsessed innovator and owner to join our Operations Team Purview of a Team Lead The INSC CF MM team at Amazon India is hiring for a Business Analyst position, seeking a candidate with a strong performance record and hands‑on experience in data‑driven decision‑making. The role requires exceptional analytical skills, the ability to break down complex problems into structured, executable plans, and comfort with high ambiguity in a fast‑paced environment. The candidate must be proficient in Macro and SQL, experienced with BI tools, and capable of working with big data from multiple sources. Core responsibilities include setting up robust processes to drive consumer experience improvements, identifying and executing automation projects, building scalable solutions using SQL, Amazon S3 and Quick Sight, and rolling out best practices from other geographies to minimize end‑to‑end supply chain losses. The candidate should demonstrate the ability to influence stakeholders across business, operations, and technical functions using data and facts, and earn trust across varied teams without formal authority. Candidates are expected to demonstrate a high bar on Bias for Action, Deep Dive, Learn and Be Curious, Insist on the Highest Standards, and Ownership. The candidate should have a basic understanding of the logistics space and should be able to communicate clearly in the written and oral form. She/he should be able to come up with process improvements drive them through completion.

Key job responsibilities

• 1. Set up and maintain robust processes to drive improvement projects with an objective to maximize consumer experience across the MM network.
• 2. Identify, plan, and execute automation projects within the team to improve operational efficiency and reduce manual effort.
• 3. Create and work on data using SQL, Amazon S3, and QuickSight to generate actionable insights for business and operations teams.
• 4. Support business growth in constrained environments through frugal and innovative solutions, ensuring scalability without proportional cost increase.
• 5. Make existing processes scalable by identifying and implementing available tools, automation, and AI-driven solutions.
• 6. Roll out best practices from other geographies and standardize tools and processes to minimize end-to-end supply chain losses.
• 7. Partner with business, operations, and technical stakeholders to translate complex operational challenges into structured, data‑backed recommendations.
• 8. Utilize strong problem‑solving and communication skills to influence decisions across business, operations, and technical audiences.

Basic Qualifications

• 1+ years of customer‑facing environment, warehousing, logistics or manufacturing experience
• Bachelor's degree
• Speak, write, and read fluently in English
• Experience with Microsoft Office products and applications
• Experience with Excel
• Bachelor's degree in engineering, statistics or business, or a CFA and experience with data analytics platforms (Power BI, Python, SQL, Tableau)
• Bachelor's degree or above
• Knowledge of data pipelining and extraction using SQL
• Knowledge of and proficiency in Excel and SQL
• Experience with data mining tools like SQL, SAS, SPSS, or similar

Preferred Qualifications

• Knowledge of databases (querying and analyzing) such as SQL, MYSQL, and ETL Manager and working with large data sets
• 2+ years of data analytics or automation experience

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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.