← CarreiraAI
Greenhouse
Senior Analytics & Intelligence Analyst
Ebanx · Curitiba
Publicada em 05/10/2026
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p At strong EBANX /strong , we believe barriers were made to be broken. We started our story in Curitiba, Brazil, and today we are a global company, present in more than strong 29 countries, with offices in Curitiba, São Paulo, Shanghai, Singapore, and Johannesburg /strong . In total, we are strong 700+ /strong ebankers spread across the world, connecting companies like strong Uber, Netflix, Spotify, TikTok, Canva, Shopee, Meta, and Shein /strong to millions of consumers in emerging markets—creating new opportunities and revolutionizing the future of digital payments. br Our mission is clear: strong to give global access to everyone /strong . We are guided by the motto strong #TamoJunto /strong , which translates into four key pillars: strong Shape Tomorrow, Evolve Fast, Make It Happen, and Unlock The World. /strong br If you want to be part of a global company with accelerated growth that is shaping the future of digital payments, EBANX is the place for you. br At EBANX’s Product team you don’t just create features. You develop user-centered solutions that transform the experience of millions of consumers and global companies. Every product decision you make has a real impact on the future of digital payments, combining strategic vision, innovation, and collaboration to make our work truly strong Out Of The Ordinary /strong . /p p nbsp; /p p data-pm-slice= 1 1 [] Corporate Analytics is responsible for developing and maintaining the structure behind EBANX’s financial data Single Source of Truth (SSoT). Our team breaks down gross profit data, including revenue and costs, generating valuable insights for FP amp;A, Controllership, Accounting, and Commercial teams. We also work closely with Finance during the monthly financial closing process. /p p And we go beyond reporting. We build our own data products, including interactive HTML dashboards with integrated AI agents, a suite of financial views for leadership and the CFO, automations, and data apps. Many of these solutions are built through strong vibe coding /strong , using AI-assisted development. /p p We are also responsible for the Corporate semantic layer and promote Self-Service Analytics across business teams by providing tools and best practices to analysts throughout the organization. Everything we build follows strong data governance standards, with documentation, metadata, lineage, and data quality at the foundation of our work. /p p nbsp; /p p data-pm-slice= 1 1 [] strong What your day-to-day will look like /strong /p ul li strong Own analytical products end to end /strong — Take full responsibility for the scope, evolution, quality, and sustainability of analytical products within the financial domain, with autonomy to prioritize and make decisions; /li li strong Turn ambiguity into solutions /strong — Partner closely with stakeholders to understand complex business challenges, define the right solution, and challenge requirements when a more effective approach exists; /li li strong Build the foundation for financial analytics /strong — Develop and evolve EBANX’s financial Single Source of Truth (SSoT) and Corporate semantic layer, creating facts, dimensions, and marts using strong dbt /strong on strong GCP/BigQuery /strong ; /li li strong Support critical financial processes /strong — Work closely with Finance during the monthly financial closing process, helping ensure reliable and consistent financial data; /li li strong Build beyond traditional dashboards /strong — Create automations, data apps, and AI-powered analytical experiences that make financial insights more accessible and actionable. Vibe coding and AI-assisted development are part of how we build; /li li strong Enable Self-Service Analytics /strong — Empower business teams to work more independently with data by providing the right tools, best practices, semantic structures, and governance standards; /li li strong Champion data governance /strong — Help ensure documentation, metadata, lineage, data qu
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