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Nubank is seeking a Business Analytics Manager to lead the analytics roadmap and drive customer growth for its leading Latin American digital bank. You will own the analytics function for credit card and savings activation and channel strategy, partnering with cross-functional teams to turn data into decisions.
You will mentor a team of analysts, set OKRs, and build scalable processes while modernizing data architecture with experimentation capabilities for rapid, reliable decision making.
Nu is the leading digital bank in Latin America, serving 140 million customers across Brazil, Mexico, and Colombia. The company has been leading an industry transformation by leveraging data and proprietary technology to develop innovative products and services.
Guided by its mission to fight complexity and empower people, Nu caters to customers’ complete financial journey, promoting financial access and advancement with responsible lending and transparency. The company is powered by an efficient and scalable business model that combines low cost to serve with growing returns.
Nu’s impact has been recognized in multiple awards, including Time 100 Most Influential Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Banks.
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As a company at the forefront of the financial revolution in Brazil, Nubank has experienced exponential growth since its inception. To keep your growth path healthy, numerous critical decisions constantly need to be made. Business Analysts are fundamental in the decision process because they must not only be able to deal with large amounts of information and data, but also always think of ways to improve our clients' experience.
It is BA's responsibility to structure the data, analyze it and use the results to test different solutions with the aim of improving Nubank's efficiency.
We are looking for people who are independent and who are not afraid to take the initiative to identify and solve problems that are not necessarily obvious.
You can read more about it in our blog and get some insights into how we work.
Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration
Our recruitment process may involve the use of artificial intelligence–enabled tools, such as automated interview transcription and analysis, to support the evaluation process. Artificial intelligence is not used to make final hiring decisions; all decisions are made by human reviewers.