Head of People Data & Analytics (Hybrid)

Nubank; Tandil; Híbrido; ARS 1.800.000 - 3.000.000; Jornada completa

Descripción de la vacante

Nubank is seeking a data and analytics professional to join the People Data & Analytics Core team. You will help shape analytical roadmaps, define key questions, and ensure signals are robust for decision making across HR initiatives and employee experiences.

The role emphasizes collaboration with product, software engineering, HR generalists and leadership, building scalable data foundations, and applying SQL, Python and Scala to extract insights while upholding privacy and fairness standards.

Formación

• Analytical mindset with ability to translate data into actionable insights.
• Strong problem-solving skills and mathematical intuition.
• Understanding of business context and interplay between product/engineering and business teams.
• Ability to learn new tools and adapt to changing priorities.
• Comfort working in a multifaceted, collaborative environment.
• Willingness to engage with stakeholders and incorporate feedback.

Responsabilidades

• Memory and signals: turn behavioral data into trusted insights for AI-powered experiences.
• Define the analytical roadmap with key questions and success metrics.
• Design the signal layer mapping employee journey to metrics.
• Ensure data quality, ground truth and monitoring for trusted decisions.
• Embed privacy and fairness considerations from the start with Legal & Privacy teams.
• Collaborate with PM, SWE, HR, and P&C leadership across signals.

Conocimientos

Analytical thinking

Problem solving

Business acumen

Adaptability

Learning agility

Herramientas

SQL

Python

Scala

Descripción del empleo

Nubank is seeking a data and analytics professional to join the People Data & Analytics Core team. You will help shape analytical roadmaps, define key questions, and ensure signals are robust for decision making across HR initiatives and employee experiences.

The role emphasizes collaboration with product, software engineering, HR generalists and leadership, building scalable data foundations, and applying SQL, Python and Scala to extract insights while upholding privacy and fairness standards.