Business Analyst-ATS Planning, ATS- Intracity Planning
Amazon · Not specified · onsite · Posted 56d ago
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About this role
Description
The ATS Intracity Planning 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.
Key job responsibilities
Deep-Dive Analytics: Independently scope, design, and execute complex analyses on intracity planning, network flow, demand patterns, capacity utilization, and cost drivers. Translate raw data into clear, actionable business insights that drive strategic decisions.
Dashboard & Reporting Ownership: Build, automate, and maintain self-serve dashboards using Amazon QuickSight and Tableau that give stakeholders real-time visibility into key planning metrics, operational health, and network performance.
SQL & Data Engineering: Write efficient, production-grade SQL on large datasets (Redshift, Hive, Athena). Build and maintain data pipelines using Hoot and Transform Jobs, create reusable datasets, and design Metric Jobs that scale across the team.
Python-Based Automation & Analysis: Leverage Python for advanced data analysis, statistical modeling, scripting, and automation of manual/repetitive workflows. Continuously raise the bar on team productivity through programmatic solutions.
AI Chatbot Integration & Agentic AI Development: Design, develop, and integrate AI-powered chatbots to automate stakeholder interactions, self-serve reporting, and operational queries. Build Agentic AI solutions that can autonomously execute workflows, surface insights, and drive decision-making with minimal human intervention.
Metric Job Creation & Ownership: Own the definition, creation, tracking, and reporting of team-level metrics and KPIs. Build automated Metric Jobs to power weekly/monthly business reviews (WBR/MBR). Investigate variances and root-cause performance misses.
Problem Identification & Opportunity Sizing: Proactively find gaps, anomalies, and improvement opportunities in planning logic, capacity allocation, and network design often before stakeholders ask. Frame these as business problems with quantified impact.
Stakeholder Communication: Present findings to senior leadership in crisp, data-backed narratives both written documents and verbal reviews. Influence decisions without authority using data and facts.
Process Improvement & Scalability: Identify, plan, and execute automation projects within the team. Make existing processes scalable by implementing available tools, automation, and AI-driven solutions. Roll out best practices and standardize tools across the network.
About the team
About the Role
The ATS Intracity Planning 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 SQL, Python, and BI tools, and capable of working with big data from multiple sources. This role demands a builder's mindset - someone who can not only analyze data but also architect scalable data pipelines, build intelligent automation, and leverage AI-driven solutions to transform how the team operates.
The ideal candidate lives and breathes data, brings sharp business acumen to identify and solve hard, ambiguous problems, and is passionate about pushing the boundaries of what's possible with AI and automation. 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.
Basic Qualifications
- 2+ years of data analytics or automation experience
- Bachelor's degree
- 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
Preferred Qualifications
- Bachelor's degree in mathematics, engineering, statistics, computer science or a related field
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