Business Analyst, OHL

• 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, F BASIC QUALIFICATIONS - Bachelor's degree or equivalent PREFERRED QUALIFICATIONS - Experience with data analysis and basic Excel skills

Amazon is a global technology company operating in e-commerce, cloud computing (AWS), digital streaming, advertising and artificial intelligence. Its India operations span development centres in Bengaluru, Hyderabad, Chennai, Pune, Gurugram and Mumbai, covering retail technology, AWS infrastructure, Alexa, advertising, payments and supply-chain systems.