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BNP Paribas

109 open roles

Overview

Requirements

  • Have the right to work in Spain

    BNP Paribas doesn't mention sponsorship in the ad.

  • Work in English

    English is required, per the ad.

  • Work on-site in Madrid

    No relocation package mentioned.

  • Have 3+ years of experience

    Mid-level role.

  • University degree

    “Education: Bachelor's degree in HR, Business, Finance, Data, or a related field.” — per the ad.

Skills

Requirements

What we're looking for

  • Education: Bachelor's degree in HR, Business, Finance, Data, or a related field.
  • Experience: At least three years of experience in data management, Finance, or Compensation subjects.
  • Technical Skills: Advanced proficiency in Excel and data visualization tools (e.g., Tableau, Power BI).
  • Data Expertise: Confirmed experience in HR data management; knowledge of rewards is a plus.
  • Communication: Excellent written and spoken English is essential; French skills are a plus.
  • Soft Skills: Strong analytical acumen, problem-solving skills, and meticulous attention to detail.
  • Work Style: Ability to work independently, manage time effectively, and adapt to changing priorities.

The role

As an HR Data specialist for the RISK team, you will manage the Compensation Review Process and lead data analysis projects. You will be based in Madrid, working closely with the HR Spain team and reporting to the RISK Head of Rewards and Data Analytics in Paris.

What you'll do

  • Coordinate the Compensation Review Process (CRP) to ensure efficient execution.
  • Manage new and existing projects and programs related to HR data analysis.
  • Oversee data consolidation and continuously improve current collection and analysis tools.
  • Collaborate with international HR teams to enhance data-driven decision-making.
  • Deliver high-quality outcomes by managing multiple priorities in a fast-paced environment.

How you'll work

[6-months contract]

Hiring process

At least two interviews for every role; some roles add more interviews or tests. About a month, depending on the role

  • Some roles involve more interviews and/or tests.

Hiring process

Next steps: How does our recruitment process work?

  1. We will assess the knowledge and experience highlighted in your CV to validate your fit for the role.
  2. The Human Resources team will contact you to confirm key details about the position.
  3. After this initial contact, interviews will be conducted with the relevant business area.
  4. We will get in touch with you to communicate the final decision of the process.

About BNP Paribas

BNP Paribas is a leading European banking and financial services group, operating in 64 countries with over 180,000 employees. In Spain, it employs around 5,450 professionals, offering corporate and institutional banking, investment and protection services, and retail banking solutions.

Industry
Banking
Founded
1966
Employees
100,000+
Headquarters
Paris, France
In Spain
Madrid, Barcelona

Good to know if you are moving

  • BNP Paribas in Spain has offices in Madrid and Barcelona, with a significant presence in the capital.
  • The company offers a range of roles in finance, risk, IT, and operations, often with opportunities for trainees and junior professionals.
  • Spanish language skills are typically required for many positions, though some roles may be open to international candidates.
  • The bank is known for its commitment to sustainable finance and corporate responsibility, which may appeal to values-driven professionals.

In their own words

About the company & team

We are BNP Paribas, a leading international bank with a presence in 64 countries and over 178,000 professionals. We support our clients through financing, investment, savings, and insurance, maintaining leadership positions in Corporate & Institutional Banking.

RISK Iberian Hub Madrid is a transversal platform servicing the RISK Function. We cover added-value activities around credit risk, market risk, operational risk, and data protection, offering services ranging from consulting to data analysis and artificial intelligence.

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