Senior People Analytics & Insights Lead

Nubank

Buenos Aires

Hybrid

ARS 61.584.000 - 107.772.000

Vollzeit

Vor 12 Tagen

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Benefits dieser Stelle

Hybrid work model
Growth opportunities

Zusammenfassung

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.

Qualifikationen

  • 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.

Aufgaben

  • 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.

Kenntnisse

Analytical capacity
Business acumen
Problem solving
Cross-functional collaboration

Tools

SQL
Python
Scala

Jobbeschreibung

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.

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