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Business Analyst, Amazon Marketplace

Job ID: 1719284 | ASSPL - Karnataka


At Amazon, we are working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright and driven people. Are you relentless? Are you passionate about leveraging data to deliver actionable insights that could impact the daily business decisions at Amazon India? Does the prospect of dealing with massive volumes of data excite you? Do you love using data to answer challenging product and customer behavior questions? Would you like to be part of the next big thing while it’s still day one?

This role is with the Direct Fulfillment team of Amazon. We are looking at a Business intelligence engineer to drive business analytics and decision making charter for IN Direct fulfillment team. This role is data and analytics heavy and will require deep dive into various business and ops facing metrics, create customized IN specific data sources for data extraction and build real-time data insights tools and dashboards. You will be required to work closely with DF program and product teams and build tools to analyze DF business and product adoption metrics. You will used advanced analytical techniques to develop solutions that answer business questions related to selection performance and customer experience. It also provides you an opportunity to come up with data driven decisions to add value via enhancements suggestions in DF product roadmap and work with ML team to solve business problems of DF.

Specific responsibilities include:
- Analyse large data sets and key levers across speed and cost metrics to build a channel allocation model for new or existing selection on DF. This would also involve work with ML team to create a predictive recommendation model for new selection while looking at speed & profitability of similar selection.
- Interface with business and Ops groups to gather data and metrics requirements. Deep dive into business metrics to identify and suggest improvement areas
- Develop and own product adoption metrics via clickstream dashboard for DF pages on VC
- Develop real time tracking tools and dashboards for DF performance reporting, managing & troubleshooting node launch pipeline
- Develop automated, scalable analytical solutions for large-scale, business-critical problems. For eg: building a self-service tool for category managers to assess health of DF business
- Translate analytic insights into concrete, actionable recommendations for business or product improvements. Work with several internal teams to drive action on recommendations.
- The individual will not just own the analysis but also driving adoption and results through stakeholder collaboration. · Support strategic data analysis requests, prioritizing based on business needs


· 1+ years of experience in financial/business analysis
· Experience with SQL or ETL
· Experience defining requirements and using data and metrics to draw business insights
· Bachelor's degree in Analytics, Engineering or a related field
· 2+ years of professional experience in analytics, business analysis or comparable consumer analytics position
· Advanced working knowledge of data mining using SQL, ETL, data warehouse as well as Excel
· Excellent communication (verbal and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams.
· High business accumen, problem solving skills, project management skills, attention to detail, and exceptional organizational skills
· Ability to deal with ambiguity and competing objectives in a fast paced environment
· Ability to display complex quantitative data in a simple, intuitive format and to present findings in a clear and concise manner
· Excellent organizational skills including prioritizing, scheduling, time management, and meeting deadlines
· A self starter, who proactively converts gaps into opportunities


· 3+ years of relevant experience in a data analyst or statistical analysis role
· Advanced technical or business degree (MS or MBA)
· Experience in developing requirements and formulating business metrics for reporting, familiarity with data visualization tools, e.g. Tableau, PowerBI, Quicksight