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Senior Business Analyst
noon.com• November 2021 - Present
1) Part of the Central Growth and Analytics team at Noon.com and contributing as a Senior Business Analyst for the Home category for AE, SA, and EG. 2) Defined various KPIs, and automated reports and helped businesses with pre-and post-analysis during YFS’21 (Yellow Friday sale) and Ramadan sale’22 for the home category identified and suggested various potential growth areas. 3) Product Managing the organization-wide WBRs and MBRs for Beauty and Home category and helped in reducing the manual efforts by ~1 day. This enabled the leadership team to gain visibility into various AI’s and helped in quick decision making. 4) Leading a team of junior BAs to provide analytics and reporting capabilities to businesses. Collaborating with business teams to ensure delivery of data requests, analytical solutions, periodic reports, and KTLOs. 5) Program Managing OOS (out of stock) at the commercial level creating data marts, identifying the goodness brought by SKUs (stock) and the lost opportunity in GMV due to OOS (Out of stock). 6) Lead various analytical projects and deep dives to identify the potential reasons for top-selling SKUs not getting sold, SKUs journey from getting live to sold, Glance view funnels analysis, etc. 7) Program Managing various campaigns from A/B testing of these campaigns to track the performances and documenting various success and failure metrics, learnings for CMs (Category Managers), and future references.
business analyst
Amazon• July 2019 - November 2021
Business Analyst / Business Intelligence Engineer at Amazon Setup the reporting infrastructure and define the analytical framework for the Payment Experience team, developed marquee assets e.g., Dimensions, Definitions, Data marts, Dashboard, and Automated the whole framework for stakeholders. Thus, Increased efficiency in reporting and decreased the manual efforts by 60-70%, saving both cost and bandwidth. A key member of the KYC analytics team and helped in achieving 2M (million) mark KYC customers on the amazon pay app platform by identifying the potential customers and targeting them for Full KYC conversion (Collaboration with Marketing team) Strengthen the existing unhealthy/ bulk issuance framework for Gift card business to arrest unhealthy issuance for P&L and automated weekly and monthly business reports. This helped in reducing unhealthy business by ~10-15 MOM% Designed and developed aggregated data set for issuance business to simplify query writing logic and create high dimensional deep-dive views. This resulted in easy querying of data for various stakeholders. Analyzed the reverse logistic (RL) cost in “POD 2020 Analysis” and helped in reducing it by ~2% MOM after sharing the learnings with Product Managers. (Decisions taken based on the data shared after analysis) Program Managing the organization-wide Payments weekly WBR, Balance WBR, Cash load WBR and other payment instruments report to help the leadership team gain visibility into individual businesses and help contribute wherever necessary. Analyzed various KPIs for smart OTP before the product launch for “Smart OTP APB (Pay Balance)” and reported various P0 metrics to track the performance of smart OTP. Analyzed the KPIs to track and improve the customer journey from landing on PSP page for POD (Pay on delivery) to reaching TYP amazon. Identified potential reasons for customer drop from POD funnel, and loss of business because of the drop suggested various methods to improve the numbers. Increase digital payment adoption among pay-on-delivery customers and observe customer patterns in cash loads, KYC and NAB. Impact of COVID-19: Analyzed and quantified the impact of COVID on the growth of the business by performing Pre-Post and Like-2-Like analysis across vertical
Education
Rajeev Gandhi Technical University,Bhopal
Computer Science, B.Tech• August 2012 - June 2016
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