Data Analyst
Pubblicato il 10-08-2026 - Clara in Modena
Ready to accelerate your career?
Clara is the fastest-growing company in Latin America. We've built the leading solution for companies to make and manage all their payments. We already help over 20,000 large and growing businesses operate with agility and financial clarity through locally issued corporate cards, bill pay, financing, and a powerful B2B platform built for scale.
Clara is backed by some of the most successful investors in the world, including top regional VCs like monashees, Kaszek, and Canary, and leading global funds like Notable Capital, Coatue, DST Global Partners, ICONIQ Growth, General Catalyst, Citi Ventures, SV Angel, Citius, Endeavor Catalyst, and Goldman Sachs - in addition to dozens of angel investors and local family offices.
We’re building the financial infrastructure that powers high-performing organizations across the region.
We invite you to join us if you want to be part of a fast-paced environment that will accelerate your career and support you to do some of the best work of your life alongside a passionate and committed team distributed across the Americas.
What you'll do
We're looking for a Data Analyst Associate to join our Data team and help drive decision-making across Clara. In this role, you will be the bridge between raw data and actionable business insights. You will not only report on what is happening but help us understand why it is happening, ensuring our teams have the accurate data they need to move fast and build financial solutions for companies in Latin America.
Design and maintain high-impact dashboards and reports to support critical business decisions.
Conduct deep-dive data analysis to identify trends, patterns, and anomalies that drive product and operational improvements.
Partner closely with data engineers and data scientists to ensure Data Integrity and quality across our pipelines.
Automate reporting workflows to reduce manual effort and increase the speed of insight delivery.
Translate complex datasets in