Bilingual Data & Client Ops Intern (Spanish/English) - Hybrid

NielsenIQ; Polska; In loco; PLN 28.000 - 39.000; Part-time

Vantaggi offerti da questo lavoro

Medical insurance

Hybrid work model

International team

Career growth

Relocation opportunities

Descrizione del lavoro

NielsenIQ's Early Career Program offers internship opportunities at the Warsaw NIQ Operations Center. The program combines a 6-month part-time phase with a mandatory in-office day, followed by a 12-month full-time phase with two 6-month assignments based on performance.

Top performers may be offered a senior position within Warsaw Hub. You will work with diverse clients, learning NIQ solutions, collaborating across teams, and gaining hands-on experience in data analysis, project management, and

Competenze

• Bachelor degree required; can be pursued concurrently with a Masters program if it allows for 3 days a week.
• Fluent level of English required and fluency in Spanish.
• Strong problem solving and analytical skills.
• Excellent written and verbal communication; client-centric mindset.

Mansioni

• Understand a broad portfolio of NIQ solutions and data visualization platforms.
• Investigate, validate, and resolve client queries through efficient workflows.
• Perform feasibility studies and analyze data to determine appropriate solutions.
• Work on diverse data challenges with scalable, reproducible approaches.
• Communicate results effectively to internal and external stakeholders.

Conoscenze

Fluent English

Problem solving

Analytical skills

Communication skills

Teamwork

Proactive attitude

Formazione

Bachelor degree

Descrizione del lavoro

NielsenIQ's Early Career Program offers internship opportunities at the Warsaw NIQ Operations Center. The program combines a 6-month part-time phase with a mandatory in-office day, followed by a 12-month full-time phase with two 6-month assignments based on performance.

Top performers may be offered a senior position within Warsaw Hub. You will work with diverse clients, learning NIQ solutions, collaborating across teams, and gaining hands-on experience in data analysis, project management, and