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Data Analyst - Payment Optimization

30+ days ago 2026/05/21
Other Business Support Services
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Job description

Why should you join dLocal?
dLocal enables the biggest companies in the world to collect payments in 40 countries in emerging markets. Global brands rely on us to increase conversion rates and simplify payment expansion effortlessly. As both a payments processor and a merchant of record where we operate, we make it possible for our merchants to make inroads into the world’s fastest-growing, emerging markets. 
By joining us you will be a part of an amazing global team that makes it all happen, in a flexible, remote-first dynamic culture with travel, health and learning benefits, among others. Being a part of dLocal means working with 1000+ teammates from 30+ different nationalities and developing an international career that impacts millions of people’s daily lives. We are builders, we never run from a challenge, we are customer-centric, and if this sounds like you, we know you will thrive in our team.
What's the opportunity?
We are looking for a great Data Analyst who is eager to learn new things every day. If you love solving complex problems involving data analysis and being a key source of insights for high-impact decisions, check if you fit the description below and apply!
In this role, you'll be responsible for driving data analytics across different payment flows. You’ll be monitoring, understanding, and building a scalable continuous optimization operation to maximize payment conversion rates.

What will I be doing?


  • Deeply understand how our customers such as Amazon, Spotify, Booking, or Uber are using Dlocal to process payments.
  • Become a key player during the ramp-up of new customers, by closely analyzing transaction information and identifying areas of improvement. This involves examining millions of data points and recognizing patterns of why some transactions fail.
  • Coordinate and run A/B tests to continuously improve key performance indicators.
  • Work closely and be the source of insights for our Product, Machine Learning, Operations and Customer Success teams in order to develop new solutions that will increase the success of our customers.

What skills do I need?


  • Analytically driven with experience manipulating large data sets in SQL or equivalent, and drawing actionable insights from data.
  • 1+ years of experience in payments/product analytics.
  • Extensive experience and passion for metrics and dashboards visualizations
  • Highly skilled at writing SQL to query relational databases; knowledge of R or Python is a plus
  • Strong communication and presentation skills (English is a must). 
  • Degree in a quantitative field (e.g., Statistics, Economics, Math, Sciences, Engineering, Data Science)

This job post has been translated by AI and may contain minor differences or errors.
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