Product Data Analyst
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Product Data Analyst at ppro: São Paulo, Бразилія; На місці; IT; Аналітика. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: São Paulo, Бразилія, На місці
- Role classification: IT, Аналітика
- Source freshness: checked by JobGrid on 2026-05-30.
- Application path: candidates continue to the employer application page with non-personal referral tags.
As a Product Data Analyst (L3) in PPRO’s Cards/Local Payments Domain, you will support data-driven decision-making by analyzing product, customer, and operational data. Working with Product Managers, Engineers, and Commercial teams, you will help build reports, support experiments, and deliver insights that improve customer experience and business performance.
This role is ideal for early-career analysts looking to grow their analytical, technical, and cross-functional collaboration skills, with opportunities to progress into Product Management, Data Engineering, or advanced analytics roles.
What You Will Be Doing
You will help develop analytical frameworks to measure product success and improve performance.
Work with Engineering to support data tracking, quality, and infrastructure for more robust analytics.
Participate and learn about A/B testing strategies, ensuring experiments are structured, statistically sound, and drive meaningful decisions.
Develop predictive models and advanced analytics to anticipate trends and inform decision-making.
Provide data-driven recommendations that optimize conversion rates, payment success, and customer experience.
What Success Looks Like
Optimized product performance through well-defined metrics and actionable insights.
Increased conversion rates and payment success rates driven by data-backed strategies.
Seamless integration of data analytics in product development and decision-making.
Adoption of experimentation and forecasting frameworks that drive product improvements.
Stronger cross-functional collaboration between analytics, product, and engineering teams.
What We Are Looking For
Analytics Expertise: Knowledge in applying statistical methods to generate insights.
SQL Proficiency: Ability to write complex queries and optimize data extraction for efficient analysis.
Experimentation & A/B Testing: Knowledge in designing and analysing experiments to measure feature impact.
Business Acumen: Understanding of how data impacts customer behavior, conversion, and revenue.
Data Visualization Skills: Hands on with any visualisation tool like: Looker, Tableau, Google Data Studio, or similar tools.
Cross-Functional Collaboration: Ability to work closely with Product, Engineering, and Commercial teams.