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Pooja B

@poojab

Senior Data Analyst turning product and user data into decisions through A/B testing, funnel analysis, and self-serve dashboards.

India

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What I'm looking for

I want to drive product outcomes through A/B testing, funnel and user-journey analytics, and self-serve dashboards—partnering with PMs, ops, and engineering to quantify impact, remove friction, and keep decision-making fast with automated, reliable pipelines.

I’m a Senior Data Analyst with 3+ years of experience turning data into product decisions. I focus on A/B experimentation, user behaviour analytics, funnel analysis, and building self-serve dashboards that help product and business teams move faster.

At Shadowfax Technologies, I owned end-to-end analytics for the logistics operations platform—tracking delivery rate, RTO%, and TAT across lanes and pincodes to inform platform health decisions. I also automated reporting to cut generation time from ~2 hours to 30 minutes.

I’ve delivered measurable impact by designing a risk-scoring model using delivery% and RTO% signals, improving delivery% by 9% and reducing RTO%. I’ve also analyzed shipment data to surface TAT inefficiencies, helping ops and product cut average delivery time from 6 days to 2–3 days.

Earlier, at Supertails I streamlined daily CX reporting pipelines in SQL and Power BI, saving 4+ hours/day, and improved response-time performance during high-traffic periods. At Flipkart, I led A/B testing analysis and built scalable dashboards that became the standard review format for the product team, while optimizing SQL query runtime by 40% for faster iteration.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Analyst

Current

Shadowfax Technologies

Aug 2025 - Present (10 months)

Owned end-to-end analytics for logistics operations (delivery rate, RTO%, TAT) to guide platform health decisions; automated dashboards cut report generation from ~2 hours to 30 minutes. Built a delivery/RTO risk-scoring model improving delivery by 9% and reducing RTO, and analyzed intercity shipment data to cut average delivery time from 6 days to 2–3 days.

SQL Python Power BI KPI Tracking Dashboard Development Risk Scoring Logistics Analytics Performance Metrics Automation

Data Analyst

Supertails

May 2025 - Jul 2025 (2 months)

Analyzed multi-channel inbound contact data (email/phone/social/media portals) to identify peak friction hours, improving response time by 25% during high-traffic periods and increasing customer satisfaction. Reduced AHT, IVR time, and abandonment rate by identifying refund/return trends and streamlined daily SQL + Power BI CX reporting for real-time support monitoring.

SQL Power BI KPI Tracking

Consultant - Data Analyst

Flipkart

Aug 2023 - May 2025 (1 year 9 months)

Led A/B testing analysis using SQL and Adobe Analytics to measure feature impact on conversion, search relevance, and engagement for roadmap decisions. Improved search experience metrics by 30% through root-cause analysis and iterative reporting; designed scalable product dashboards and optimized complex SQL to reduce report runtime by 40%.

SQL Adobe Analytics A B Testing Root Cause Analysis Product Analytics Dashboard Development Query Optimization Search Analytics

Data Analyst

Wipro Pvt Ltd

May 2022 - Aug 2023 (1 year 3 months)

Built reusable SQL and Python pipelines for data cleansing, transformation, and analysis to ensure consistent inputs for product reporting. Developed Star schema dimensional models using DAX to scale reporting and boost dashboard adoption by 25%, partnering with stakeholders to translate requirements into analytics frameworks.