Business Analyst, OHL
Summary
Business Analyst in Amazon India's OHL (Other Hardlines) Central Marketing Team analyzes e-commerce data using SQL, Excel, and BI tools to drive marketing decisions and optimize business metrics.
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.
Key job responsibilities
• 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
Basic qualifications
- 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
Preferred qualifications
- 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
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.
Key job responsibilities
• 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
Basic qualifications
- 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
Preferred qualifications
- 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
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.