Insight Analytics Team Leader

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 seeking a highly motivated and analytically driven Insight Analytics Team Leader to join our growing organization. This role is pivotal in transforming business questions into actionable insights, driving data-informed decision-making, and fostering a culture of analytics excellence. The ideal candidate will combine strong technical expertise with business acumen, leadership skills, and a passion for mentoring others in analytics best practices. You'll be the connective tissue between data and decisions - shaping strategy, accelerating execution, and building an insight culture that compounds value over time.

• Lead and develop the team. Hire, provide feedback, coach, and grow a team of insight analysts; set standards for analytical rigor, speed, and stakeholder impact.
• Translate Business Questions into Analytical Requirements Partner with business leaders and stakeholders (e.g. Product, Commercial, Operations, and Finance) to identify high-value business problems and translate them into clear, testable analytical hypotheses.
• Deliver deep-dive analysis. Run diagnostic and predictive analyses (e.g., cohorting, segmentation, regression, LTV/retention modeling, forecasting) to explain what's happening, why, and what to do next, leveraging both internal BI data products and external market context.
• Proactively Identify Opportunities for Action. Mine data to uncover hidden patterns, risks, and revenue-generating opportunities, going beyond reactive analysis to drive proactive business value.
• Communicate Insights and Influence Decisions. Synthesize complex findings into compelling, executive-ready narratives. Present insights, recommend actionable steps, and collaborate with business teams to ensure implementation and measurable impact.
• Foster a Community of Insight Producers. Collaborate with other analytics professionals across the business, sharing best practices and building a strong analytics community.
• Champion Analytics Literacy and Training. Mentor and train business users to self-serve data, interpret dashboards, and build their own analytical capabilities.

• Proven leadership in analytics. 6–10+ years in analytics or data science with 3-5+ years leading high‑impact teams in product, commercial, or operations analytics.
• Strong technical toolkit. Expert SQL (on cloud e.g. AWS/GCP); proficiency in Python or R using notebooks for analysis; fluency with BI/visualization tools (e.g. Looker, Quicksight, Plotly, Power BI) and experience with orchestration tools e.g. Airflow
• Experimentation and statistics. Practical experience with test design, power and sample‑size calculations, regression/causal inference basics, and interpretation limits.
• Business acumen and storytelling. Ability to connect analysis to P&L impact; craft concise, executive‑level narratives; and influence decisions across functions.
• Bias to action. Comfortable operating in ambiguity, prioritizing ruthlessly, and shipping insights quickly with clear trade‑offs and follow‑ups.
• Nice to have. Domain experience in payments/fintech, marketplace, or B2B SaaS; familiarity with product analytics, growth, risk, or pricing.

How success is measured

• Adoption and impact. Percentage of recommendations implemented and attributable business outcomes (revenue lift, cost/risk reduction, customer metrics).
• Time‑to‑insight. Cycle time from question to decision; experiment velocity and win rate.
• Data and self‑serve health. Stakeholder satisfaction (NPS), reduction in ad‑hoc requests due to effective enablement, and quality of curated datasets/metrics.
• Team excellence. Hiring velocity, retention, skill growth, and on‑time delivery against the analytics roadmap.

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:

• Remote work: work from anywhere or one of our offices around the globe*
• Flexibility: we have flexible schedules and we are driven by performance.

• 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.

• Learning & development: get access to a Premium Coursera subscription.

• Language classes: we provide free English, Spanish, or Portuguese classes.
• Social budget: you'll get a monthly budget to chill out with your team (in person or remotely) and deepen your connections

• dLocal Houses: want to rent a house to spend one week anywhere in the world coworking with your team? We've got your back

• For people based in Montevideo (Uruguay) applying to non-IT roles, 55% monthly attendance to the office is required

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, Instagram, and Youtube for more about dLocal

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.