APM Data Analyst Lead

Nodi; Buenos Aires; Hybrid; ARS 1,800,000 - 3,000,000; Full time

Benefits offered by this job

Flexible schedules

Fintech environment

Referral bonus program

Work From Anywhere

Job summary

dLocal is seeking a strategic Data Analyst Lead to drive product-focused analytics across payment flows in Buenos Aires. You will extract insights from large datasets, design experiments, and partner with Product, ML, and Operations to optimize conversion and product success.

You will mentor analysts, define key metrics, and create dashboards to track health and impact, while communicating findings to senior stakeholders in English.

Qualifications

• 2+ years in product and payments analytics, with leadership or mentoring experience.
• Experience defining metrics and creating dashboards to track product health.
• Strong SQL skills and ability to query relational databases.
• Proficiency in English; able to influence both technical and non-technical stakeholders.

Responsibilities

• Lead product-focused data analytics across payment flows and identify optimization opportunities.
• Design, coordinate, and run A/B tests to validate hypotheses and improve KPIs.
• Partner with Product, ML, Operations, and Customer Success teams to deliver data-driven solutions.
• Mentor analysts on data extraction, analysis, and visualization best practices.
• Translate complex data into clear, actionable product recommendations.

Skills

SQL

Python

R

Dashboarding

Leadership

Mentoring

Communication

English Proficiency

Education

Bachelor's degree in Statistics, Economics, Math, Engineering, or Data Science

Tools

Python

R

Tableau

Job description

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 strategic and experienced Data Analyst Lead who is eager to drive significant impact in our Product and Payments domain. If you have a passion for solving complex, high-stakes business problems, leading data analysis initiatives, and being the key source of strategic insights for Product teams,

In this lead role, you'll be responsible for spearheading product-focused data analytics across different payment flows. You’ll be designing and executing a scalable, continuous optimization strategy to maximize payment conversion rates and drive product success.

What will I be doing?

• Deeply understand how our customers such as Amazon, Spotify, Booking, or Uber are using Dlocal to process payments, specifically focusing on product performance and user experience data.
• Act as a leader during the ramp-up of new customers, by conducting advanced analysis of transaction information and proactively identifying key product and process improvements. This involves examining millions of data points, recognizing complex failure patterns, and translating findings into product requirements.
• Design, coordinate, and lead A/B tests and experimentation to continuously improve key performance indicators (KPIs) and validate product hypotheses.
• Work closely and be the strategic data partner for our Product, Machine Learning, Operations, APM vertical, and Customer Success teams, providing the core insights needed to develop new, high-impact product solutions focused on APMs.
• Mentor and guide analysts on best practices for data extraction, analysis, and visualization.

What skills do I need?

• Analytically driven with extensive experience manipulating large data sets in SQL or equivalent, and translating complex data into clear, actionable, product-focused insights.
• 2+ years of experience in product and payments analytics, including experience in a leadership, senior, or mentoring capacity.
• Extensive experience and passion for defining metrics and creating compelling dashboard visualizations to track product health and business impact.
• Highly skilled at writing optimized SQL to query relational databases; strong proficiency in R or Python for advanced statistical analysis is a plus.
• Strong communication and presentation skills, with the ability to influence technical and non-technical stakeholders (English is a must).
• Degree in a quantitative field (e.g., Statistics, Economics, Math, Sciences, Engineering, Data Science)

What do we offer?

• 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.