Data Analyst - Payment Optimization

Why Join dLocal?

dLocal is the financial infrastructure powering global commerce in the world's fastest-growing markets. The biggest companies in the world trust us to unlock growth in 60+ countries across emerging markets—moving money where others see complexity. We don't just process payments; we are architects of payment ecosystems and partners in our customers' expansion. You'll work alongside 1,300+ teammates from 40+ nationalities and tackle global challenges from day one.

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)

What do we offer?

Besides the tailored benefits we have for each country, dLocal will help you thrive and go that extra mile by offering you:

Flexibility in how you work: We focus on impact and productivity over fixed hours. This means our teams have flexible schedules and, depending on your role and location, you will combine self‑managed focus time with moments of in‑person connection in our collaboration hubs.

Fintech industry: work in a dynamic and ever-evolving environment, with plenty to build and boost your creativity.

Referral bonus program: our internal talents are the best recruiters - refer someone ideal for a role and get rewarded.

Work From Anywhere: Team members can work while traveling for up to 3 months every year.

What happens after you apply?

Our Talent Acquisition team is invested in creating the best candidate experience possible, so don’t worry, you will definitely hear from us. We will review your CV and keep you posted by email at every step of the process! Also, you can check out our webpage, Linkedin and Youtube for more about dLocal!