Business Analyst, Other Hardlines Central Marketing

Amazon India's OHL (Other Hardlines) Central Marketing Team is looking for a customer-obsessed, detail-oriented Business Analyst to join one of the most dynamic and data-rich categories on the platform. You will work at the intersection of business and data — helping the team make sharper decisions across business & marketing metrics.This role is ideal for someone who is comfortable rolling up their sleeves with data, communicates findings clearly, and is eager to grow into owning complex analyses independently.

• Support the marketing team in answering key questions using data — covering multiple metrics across the OHL portfolio
• Deep-dive into large datasets using SQL and Excel to identify trends, anomalies, and opportunities
• Build and maintain reports and dashboards that enable the team to self-serve on routine business metrics
• Translate business questions from stakeholders into structured analysis requirements and deliver clean, actionable outputs
• Monitor existing data pipelines and ETL workflows; flag issues and escalate with context
• Work with BI, tech, and category partners to understand data availability and ensure metric accuracy
• Leverage AI tools (e.g., Amazon Q, generative AI assistants) to accelerate analysis, automate repetitive reporting tasks, and surface insights faster
• Present findings in written form (documents, decks) to internal stakeholders with clear, logical recommendations
• 1+ years of data analytics or automation experience
• 1+ years of capacity planning, operations planning, business analysis or similar 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
• Bachelor's degree, or 3+ years of business analyst, data analyst or an equivalent role experience
• Knowledge of SQL/Python/R, scripting, MS Excel, table joins, and aggregate analytical functions
• Experience defining and executing program requirements and using data and metrics to determine improvements
• Experience in written and spoken English and an ability to compose grammatically correct, concise and accurate written responses
• • Bachelor's degree in a quantitative field — Mathematics, Statistics, Engineering, Computer Science, Economics, Finance, or related
• • Moderate-to-advanced proficiency in MS Excel- Experience in writing complex, highly-optimized SQL queries across large datasets
• Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred)
• Experience in scripting for automation (e.g. Python) and advanced SQL skills.
• Knowledge of online retail (e-commerce)
• • Experience with AWS analytical services (Redshift, EMR) or equivalent cloud data tools
• • Hands-on experience using AI/ML tools or large language models to augment analytical workflows — prompt engineering, AI-assisted reporting, or automated insight generation is a plus
• • Curiosity and initiative in exploring new AI-powered tools to improve team productivity

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