Manali Patil

Product Analyst with 4+ years of experience driving product analytics, experimentation, and decision intelligence across fintech, ecommerce, and SaaS platforms. Skilled in SQL, Python, A/B testing, cohort analysis, funnel optimization, and behavioral segmentation to improve activation, retention, and conversion. Proven track record of building KPI frameworks, North Star metrics, and product instrumentation strategies to support data-driven decision-making.

Experienced in partnering with product, engineering, data science, and risk teams to drive experiment-led optimization and influence roadmap prioritization through actionable insights.

Product Analyst - Walmart - USA

(2024-07)

• Analyzed 4M+ transaction and device-level events using SQL (Snowflake) and Python, applying statistical experimentation and root cause analysis to improve fraud detection systems, reducing false positives by 18% and improving approval stability.
• Built fraud analytics dashboards in Power BI tracking 20+ KPIs across North Star and operational metric layers, implementing metric governance, anomaly detection, and performance monitoring, reducing manual reporting effort by 25%.
• Designed and executed A/B testing on fraud scoring thresholds using structured experimentation frameworks with power analysis and statistical inference, improving fraud scoring accuracy by 12% without impacting conversion performance.
• Performed funnel, cohort, and behavioral segmentation analysis across user verification journeys, identifying key friction points causing a 9% drop-off and recovering 6% conversion through targeted product optimization insights.
• Partnered with data science teams to deploy and monitor ML models (logistic regression, gradient boosting), evaluating feature importance, drift patterns, and model stability to ensure production reliability and performance governance.
• Automated fraud reporting workflows using Python and AI assisted analytics, reducing reporting turnaround time by 40% and improving anomaly detection responsiveness.
• Drove Agile execution in Jira by translating product and risk requirements into analytical use cases, strengthening data quality checks, KPI governance, and cross-functional alignment across product, engineering, and risk teams.

Product Analyst - Accenture - India

(2020-05 - 2022-07)

• Led product analytics for a US and UK ecommerce platform with 1M+ user journeys, applying funnel decomposition, cohort analysis, and behavioral segmentation to identify conversion drop-offs across web and mobile journeys.
• Defined KPI hierarchy and North Star metric frameworks across conversion, retention, engagement, and revenue, establishing governance standards used across 10+ product and business channels.
• Built Power BI dashboards tracking 15+ KPIs with cohort and segmentation views, improving visibility into feature performance and enabling faster product iteration cycles.
• Partnered with product and engineering teams to optimize checkout experience using experimentation and behavioral insights, reducing cart abandonment by 10–15% while improving conversion rates across platforms.
• Conducted data validation and reconciliation across transactional systems at ETL level, ensuring data accuracy and reliability for downstream analytics and reporting.
• Applied Agile experimentation driven workflows, enabling hypothesis-led feature validation and improving sprint level decision quality across releases.
• Collaborated with product and UX teams to deliver analytics driven insights and AI-assisted reporting workflows, accelerating insight delivery and improving feature prioritization speed.

MS - Business Analytics - University of Massachusetts, Boston (2024-05)