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Gabriel Barroso

@gabrielbarroso2

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Senior Data Analyst at VTEX who built a churn-risk model identifying at-risk clients up to six months in advance.

Brazil

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At VTEX, I built a predictive churn-risk model combining platform usage, payment health, and Zendesk support KPIs to identify at-risk clients up to six months in advance, with 60% accuracy.

I automated Power BI dashboards for revenue metrics and AWS Redshift pipelines serving partner performance data across 3,000+ stores. I also designed a product adoption engine that helped prioritize upsell opportunities.

Earlier at VTEX, I developed Python and AWS automation for client onboarding and established an AI-driven framework to analyze NPS sentiment. I supported revenue and growth analyses and mentored two interns focused on data automation and analysis.

Experience

Work history, roles, and key accomplishments

Senior Data Analyst

VTEX

Jan 2024 - Dec 2026 (2 years 11 months)

Built predictive churn models, revenue dashboards, and AWS data pipelines supporting portfolios of 3,000+ stores. Engineered automated Power BI dashboards and automated AWS Redshift pipelines for partner performance and order approval rates.

Python SQL Power BI AWS Redshift Lambda Step Functions ETL Churn Prediction NRR SSS Conversion Rate Row level security Zendesk OpenAI

Data Analyst

VTEX

Jan 2023 - Dec 2024 (1 year 11 months)

Designed a fully automated ETL pipeline and dashboard for clients under implementation, tracking status, go-live expectations, and predicted ACV. Established an AI-driven sentiment analysis framework for NPS responses using the OpenAI API and internal KPIs.

Python SQL ETL Power BI OpenAI NPS Sentiment Analysis Agile Mentorship

Growth & CX Operations Intern

VTEX

Jan 2021 - Dec 2023 (2 years 11 months)

Developed Python-based ETL pipelines utilizing APIs to track 16 critical implementation KPIs for new client onboarding at scale. Built an AWS automation stack using Lambda, DynamoDB, S3, and EventBridge to automate onboarding reports and eliminate manual data consolidation.