PAYAL BHANSALI LinkedIn GitHub *********@*****.*** +91-976*******
Detail-oriented Data Analyst with over 4 years of experience turning complex datasets into actionable business insights. Skilled in data modeling, statistical analysis, and visualization across large-scale e-commerce and SaaS platforms. Strong command of SQL, Python, Snowflake, and Power BI. Experienced in exploratory data analysis (EDA), building automated reporting pipelines, and collaborating with cross-functional teams to support product, marketing, and operations decision-making.
● Languages & Tools: SQL, Python (Pandas, Numpy, Seaborn), Snowflake, MySQL
● Data Visualization: Power BI (DAX, KPIs, Reports, Dataflows), Excel (Advanced Formulas, Power Query)
● EDA & Statistical Analysis: Outlier Detection, Regression, Descriptive Statistics, A/B Testing
● ETL & Automation: Data Cleaning, Transformation, Validation, Data Pipelines
● Project Tools: Asana, SharePoint, Trello, Kibana Business Analyst [Shopalyst] -08/2024 - Present
o Conducted ad-hoc and scheduled analyses using Snowflake and Python to support decision-making across marketing and product teams.
o Created dynamic Power BI dashboards to visualize SKU-level performance, pricing trends, and stock availability across multiple merchants.
o Collaborated with cross-functional teams to automate client-facing reporting, reducing delivery time by 40%. o Conducted funnel and behavioral analysis to identify conversion issues and opportunities for optimization. o Processed and integrated large datasets (Amazon S3 to Snowflake) with automated ETL processes for real-time insights.
Analyst [UTOPIAN VA (INDIA) PRIVATE LIMITED] -10/2021- 08/2024 o Delivered weekly and monthly reports on store performance, customer acquisition, and product trends using Power BI and Excel.
o Analyzed Amazon & Shopify data to track pricing, returns, and sales velocity, helping reduce return rates by 10%. o Developed automated Excel models and visual reports to support client decisions and streamline analysis workflows.
o Applied SQL queries to segment user behavior and run correlation analysis across sales campaigns. Retail Data Analysis -03/2023 - 04/2023
o Designed a Retail Data Analysis Dashboard using Snowflake, AWS, Python, and Power BI, driving a 30% increase in sales revenue and enhancing decision-making efficiency. o Streamlined data upload and tracking between AWS S3 and Snowflake, reducing data manipulation by 25% and improving accuracy, while leveraging Python for automated EDA to uncover actionable business insights.
Deloitte Case Study -02/2023 - 03/2023
o Analyzed World Bank data for 200 countries (1990–2018), focusing on CPI, exchange rates, and exports to identify key trends and actionable insights.
o Executed complex queries in Snowflake to optimize calculations and reduce execution time, and crafted Power BI visualizations, boosting business intelligence by 35%.
Full Stack Data Analytics
Data Analytics Consulting Virtual Internship
Advance Google Analytics
Power BIVirtual Case Experience
Bachelor of Commerce (B.com)08/2017 - 06/2020
Amravati University