Business Intelligence Engineer, Amazon Wholesale
ASSPL - Karnataka - B56•3h ago
IN, KA, BengaluruOnsiteFull-time
Top focus
Business AnalystHr Business Partner
- Amazon Wholesale India Private Limited (AWIPL) is looking for a Business Intelligence Engineer I to build the data foundation that supports our product, business
- operational decisions. AWIPL works across wholesale and business-to-business commerce, including pricing and promotions, demand planning, buying, inventory management, fulfillment, returns, liquidation, vendor experience
- distribution. These programs generate data across multiple systems and business processes. The Business Intelligence Engineer will convert this data into reliable metrics, automated reports, dashboards
- actionable insights. In this role, you will work with Product, Business, Finance, Operations
- Technology teams to understand business questions and translate them into scalable business intelligence solutions. You will use SQL, data visualization tools
- scripting languages to build datasets, automate recurring reports, investigate performance gaps
- measure the results of product launches and operational changes. The successful candidate will have strong analytical judgment, attention to detail
- the ability to explain data clearly. You will be comfortable working with large datasets, identifying data-quality issues
- reconciling differences between business and technical definitions. You will learn AWIPL’s end-to-end business processes and help teams use consistent, trusted information to make decisions. Key job responsibilities Build and maintain SQL datasets, reports, dashboards
- recurring business-review mechanisms for AWIPL programs. Develop metrics across selection, pricing, promotions, forecasting, buying, inventory, fulfillment, returns, liquidation, vendor experience
- distribution. Work with stakeholders to document metric definitions, business rules, data sources, ownership
- refresh schedules. Automate manual data extraction, reconciliation
- reporting processes. Analyze business and operational performance, identify trends and anomalies
- conduct root-cause analysis. Establish data-quality checks and investigate discrepancies across source systems, dashboards
- financial or operational reports. Support product launches by defining success metrics, establishing baselines, validating instrumentation
- measuring post-launch results. Support user acceptance testing by validating data flows, business rules
- expected outputs. Develop self-service dashboards that allow stakeholders to monitor performance by product, vendor, category, location, program
- other relevant dimensions. Partner with Product Managers, Business Analysts, Software Development Engineers, Data Engineers, Finance
- Operations teams to translate requirements into BI deliverables. Prepare clear written summaries and visualizations that explain findings, limitations
- recommended actions. Maintain documentation for datasets, queries, dashboards
- recurring reporting processes. Protect confidential business information and apply appropriate access controls when working with sensitive datasets. A day in the life You may start the day by reviewing a dashboard and investigating an unexpected change in inventory availability or forecast accuracy. You could work with a Product Manager to define the measurement plan for a pricing or supply-chain launch, write SQL to reconcile data across source systems
- add automated validation checks to a recurring report. Later, you may review metric definitions with Finance and Operations partners, publish a QuickSight dashboard for a business review
- summarize the drivers behind a performance gap. You will balance recurring reporting needs with scoped analytical projects and automation opportunities. Senior Business Intelligence Engineers, Data Engineers
- business partners will provide guidance on larger or less-defined problems. About the team The AWIPL Product team builds capabilities that support wholesale and B2B commerce in India. Our work spans customer-facing pricing and promotions, supply-chain planning, buying, inventory health, fulfillment, returns, liquidation, vendor tools, distribution
- the adoption of relevant worldwide Amazon capabilities. We work across business and technical boundaries. Our decisions require a shared understanding of customer outcomes, operational performance, financial impact
- system behavior. The Business Intelligence Engineer will help establish this shared understanding through trusted data, consistent metrics
- repeatable analytical mechanisms.
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight
- similar tools - Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) - Experience with scripting language (e.g., Python, Java
- Master's degree, or Advanced technical degree - Knowledge of data modeling and data pipeline design - Experience with statistical analysis, co-relation analysis 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.
Required skills
PythonJavaR