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Data Storytelling

Pubblicato il 13-08-2026 - Altro 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 Storytelling & Brand Insights Specialist to bridge the gap between deep analytical thinking and high-impact editorial narrative. In this role, you will be a key driver of Clara's external communication, transforming complex data points, macroeconomic trends, and fintech metrics into compelling, news-worthy stories that solidify Clara as the leading spend management platform in Latin America. You'll have access to Clara proprietary data sources and complement it with external data.
You are someone who is "chronically online"—hyper-aware of digital trends, platform algorithms, and shifting market conversations—and you know how to hijack those moments using data as your anchor. Working at the intersection of PR and Social Media, you will collaborate closely with internal PR Specialists, Data Engineering, and regional Growth teams to extract p

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