Lead Business Analyst

Nubank; Buenos Aires; Hybrid; ARS 61,584,000 - 107,772,000; Full time

Benefits offered by this job

Hybrid work model

Growth opportunities

Job summary

Nubank is building a People Data & Analytics core team in Buenos Aires. You will contribute to analytical and agentic roadmaps for P&C products and processes, driving impactful work streams for Nubankers. The role requires independence, initiative, and a problem-solving mindset.

You’ll collaborate across PM, SWE, HR and P&C leadership, embedding privacy and fairness from the start, and supporting data-based decision making in a dynamic environment.

Qualifications

• Strong analytical skills with the ability to work numerically.
• Good understanding of business dynamics across product and engineering.
• Willingness to learn new tools and adapt to a complex environment.

Responsibilities

• Employee Memory: turn behavioral signals into insights and AI-powered experiences.
• Shape the analytical roadmap: define questions, use cases, success metrics.
• Design the signal layer: define signals and how they map to the employee journey.
• Own quality and validation: set ground truth and monitoring.
• Embed privacy and fairness from the start: guardrails on bias and consent.
• Connect to Semantic Layer: define canonical metrics/entities for dashboards.
• Enable agentic use cases: ground agents in reliable data and evaluate outputs.
• Collaborate cross-functionally with PM, SWE, HR Generalists and leadership.

Skills

Analytical capacity

Business acumen

Problem solving

Cross-functional collaboration

Tools

SQL

Python

Scala

Job description

About Nu

Nu serves more than 140 million customers, guided by a mission to fight complexity and empower people. The company has been leading an industry transformation through innovative products and human-centered services.

Proprietary technology and data at scale power Nu’s digital platform, built to promote financial access, advancement, and transparency. Its business model thrives on customer love and lower costs, feeding a flywheel of growth and profitability.
Visit our Institutional Page

About the Role
You will be the part of the People Data & Analytics Core team. You will contribute in build analytical, and agentic roadmap for many of P&C product and processes and be part of impactful work streams for all Nubankers.

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.

You’ll be Responsible for

• Employee Memory: Turns behavioral signals across the Nubanker journey into a trusted foundation for insights and AI-powered experiences.

  • Shape the analytical roadmap: by defining the key questions, use cases and success metrics, and sequence what to build first.

  • Design the signal layer: Decide which behavioral signals matter, how they are defined and combined, and how they map to the employee journey (from onboarding to growth to exit).

  • Own quality and validation: Define ground truth, validation approaches and monitoring so that signals can be trusted and used in decisions.

  • Embed privacy and fairness from the start: Work with P&C leadership, Legal & Privacy on what can and should be measured, with clear guardrails on bias, consent and appropriate use.

  • Connect to Semantic Layer: Define canonical metrics and entities so that Employee Memory is reusable across dashboards, analyses and agents.

  • Enable agentic use cases: Partner with PM and engineering to ground agents in reliable data, and define how their outputs are evaluated.

  • Work cross-functionally: Partner daily with PM, SWE, HR Generalists and P&C leadership, and align with other areas that depend on the same signals.
    Do a lot of investigative work, focused on deciding which data makes the most sense to use in which situation. If you don't have the data, it's your job to think about what tests can be done or how to extract the information you need to answer your questions;

  • Support your team in making data-based decisions by monitoring analysis and decisions, ensuring the flow of projects and making the process of taking risks comfortable despite the uncertainties;

  • Learning how to work with a large volume of data to build a solid foundation for decision making with calculated risks - even knowing that not all the answers are in the data and/or that not all the data you would like is available;Use tools like SQL, Python and Scala - taught during your first weeks with us - for data extraction;

  • Understand our products and interactions with other areas;

  • Take advantage of opportunities to grow and learn from a well-prepared and highly qualified team;

  • Opportunity to work in a complex, dynamic and diverse environment, participating in projects that will impact a large number of clients.

What are we looking for?

• Analytical capacity: ease with numbers and calculations, having the ability to solve problems mathematically;

• Business basics: dynamics between risks and opportunities, as well as interaction between business areas and technical areas (products/engineering);

• Problem solving: ease and creativity to seek solutions to day-to-day challenges and achieve the best results;

• Ability to understand how your decisions and work impact our customers' experience, seeking results that align with our purpose;

• Willingness and ease of learning, especially for tools;

• Openness to receive feedback and incorporate it into your daily life and development;

• Adaptability to the multifunctional environment;

• Profiles that add value to Nubank's culture.
  

  Work Model for this Role

  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. For more details, visit https://building.nubank.com/nu-hybrid-work-model/

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.
To maintain a consistent and fair process for every candidate, Nu does not provide individualized technical feedback. See how our policy works here