Open to opportunities

Soumya Agarwal

@soumyaagarwal1

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Senior Data Analyst turning ambiguous problems into marketplace and ML-driven insights.

India

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What I'm looking for

I’m looking for a senior analytics role where I can partner cross-functionally to deliver measurable impact through RCA, experimentation, and ML/GenAI—building reliable dashboards, data pipelines, and models that turn ambiguous problems into clear actions.

I’m a Senior Data Analyst with 6 years across marketplace, e-commerce, and consumer-internet analytics at Amazon and ShipBob. I translate ambiguous business problems into data-driven solutions using SQL, Python, and machine learning, while partnering closely with Product, Business, and Engineering teams.

At ShipBob, I partner with cross-functional teams to build actionable insights for the merchant marketplace platform. I architected a GenAI-powered Merchant Intelligence engine surfacing predictive insights, anomaly flags, and recommendations from large-scale order data, and I conduct RCA on shipment-visibility issues impacting 90% of merchant tickets.

Previously at Amazon, I led a 5-person analytics team to build marketplace performance dashboards and metrics in Looker, eliminating 1,000+ manual hours. I also performed RCA on payment anomalies, partnered with engineering to recover $1.5MM, and designed migration analysis for gift card deprecation—modeling user impact and retaining 90% of customers within 6 months.

Earlier at Amazon and ZS Associates, I built reporting frameworks that improved channel target achievement by 5% annually, launched KYC flow analytics with hypothesis testing, and developed NLP models across 20+ international marketplaces to reduce time-to-resolution by 30% and lift CSAT by 7%. I’m energized by end-to-end work—data pipelines, experimentation, RCA, and model building—to deliver measurable business outcomes.

Experience

Work history, roles, and key accomplishments

Current

Senior Business Data Analyst

Current

ShipBob

Jul 2025 - Present (11 months)

Partnered with Product, Business, and Engineering teams to deliver data-driven merchant marketplace insights. Architected a GenAI-powered Merchant Intelligence engine, drove root-cause analysis on shipment visibility that accounted for 90% of merchant tickets, and built self-service analytics plus end-to-end data pipelines for fulfillment analytics.

SQL Python GenAI Root Cause Analysis Anomaly Detection Machine Learning Feature Engineering Data Pipelines

Senior Business Intelligence Engineer

Amazon

Oct 2024 - Jul 2025 (9 months)

Led a 5-person analytics team building marketplace performance dashboards and metrics in Looker, eliminating 1,000+ hours of manual reporting. Conducted root-cause analysis on payment anomalies, helped recover $1.5MM, and modeled gift card deprecation impacts to retain 90% of customers within 6 months.

Looker SQL Root Cause Analysis Data Modeling Data Visualization

Business Intelligence Engineer

Amazon

Sep 2021 - Oct 2024 (3 years 1 month)

Built a marketplace seller reporting framework that increased channel-level target achievement by 5% annually. Launched a KYC flow with hypothesis testing (reducing time-to-resolution from 10 to 2 days), trained NLP models to cut TTR by 30% and lift CSAT by 7%, and delivered a supervised auto-resolution model plus anomaly detection that reduced tickets by 35% and flagged B2B contract violations.

Marketplace Analytics SQL Hypothesis Testing A B Testing NLP Anomaly Detection