Sonal Priya

Business Development Executive

Bengaluru, Karnataka, India6 yrs 1 mo experience

Most Likely To Switch

Key Highlights

Led analytics for ad-driven GMV growth.
Designed impactful A/B experiments for ads.
Synthesized insights from 200+ seller conversations.

Stackforce AI infers this person is a data-driven Business Analyst in E-commerce focusing on growth and product analytics.

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Skills

Core Skills

Product AnalyticsGrowth Analytics

Other Skills

Data ExtractionSQLPython (Programming Language)StatisticsMachine LearningMicrosoft Power BITableauMySQLMicrosoft ExcelProblem SolvingSAS (Software)Big DataMicrosoft Office

About

Senior Business Analyst working on growth, ads monetization, and product analytics at scale. I help businesses grow GMV by turning data into clear actions that improve seller adoption, retention, and ROI. Over the last few months, I’ve led analytics for ROI-based ads transformation, driving measurable uplifts in ad-active catalogs and sellers through experimentation, funnel analysis, and seller-level modeling. I’ve partnered closely with Product, Engineering, Ops, and GTM teams to take insights from diagnosis → pilots → scaled launches. What differentiates my work is the blend of strong analytical rigor (SQL, experimentation, incrementality) with ground-level insights from 200+ seller conversations and on-ground pilots. I enjoy solving ambiguous problems where metrics are moving, but the why isn’t obvious. Open to roles in Growth Analytics, Product Analytics where data shapes strategy and execution end-to-end.

Experience

6 yrs 1 mo

Total Experience

1 yr 5 mos

Average Tenure

1 yr 8 mos

Current Experience

Meesho

Senior Business Analyst - Ads Monetization

Sep 2024 – Present · 1 yr 8 mos · Bengaluru, Karnataka, India · On-site

Owned analytics for increasing ad-driven GMV by improving both seller-level and catalog-level ad adoption, with clear metric frameworks and weekly impact tracking.
Led rollout of ROI-based ads across 100% of catalogs, including new and low-order catalogs, delivering a +2.5 pp uplift in ad-active catalog GMV.
Designed and analyzed end-to-end A/B experiments across campaign creation, defaults, and catalog discovery, driving a +1.3 pp improvement in catalog-level ad adoption.
Built seller-level activation and recommendation models (catalogs, ROI targets, budgets) that delivered >20% account-level order incrementality for ~80% of sellers and ~65% 7-day retention in pilots.
Identified and quantified ~₹3 Cr/day ad spend trapped in legacy ad formats; supported credit-led migrations that increased ROI-based ad trials by 1.8× with ~85% retention.
Synthesized insights from 200+ seller interviews and on-ground pilots, translating qualitative feedback into measurable hypotheses, experiments, and scalable product changes.

Data ExtractionSQLPython (Programming Language)StatisticsMachine LearningMicrosoft Power BI+3