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Consultant - Data & Analytics

Presencial en València·Jornada completa·Añadida ayer (comprobada el 22 oct)

Infoverity

1 oferta abierta

Resumen

Contrato
Jornada completa
Inglés
Obligatorio

Habilidades

Esta oferta está publicada en inglés.

Requisitos

Requirements
  • At least 1-3 years of professional experience in consulting, data management, analytics or digital projects.

  • Strong technical aptitude with the ability to engage in hands-on tasks when needed.

  • Excellent communication and interpersonal skills.

  • Comfortable working directly with clients and contributing to discussions at both technical and business levels.

  • Self-starter mindset, proactive, and able to work independently or as part of a team.

  • Fluency in Spanish and English. Other languages can be a plus.

Desired Skills

  • Knowledge of ETL, MDM/PIM, BI tools, AI or analytics platforms.

  • Experience supporting client workshops, data assessments, or solution design.

  • Ability to adapt to different projects and industries.

  • Problem-solving, critical thinking, and attention to detail.

Salario y beneficios

Benefits
  • Hybrid work environment: 3 days of telework per week.

  • Intensive work schedule in August

  • Exposure to strategic data and analytics projects with global clients

  • Opportunity to grow technical and client-facing expertise.

  • Collaborative environment with mentorship and learning opportunities.

  • Competitive compensation and career growth potential.

*At Infoverity, we value the diversity of our team and are committed to equal opportunities and non-discrimination, respecting each person’s individuality*

El puesto

We are looking for a motivated and versatile Consultant with 1-3 years of experience in data management, analytics, or related fields. The ideal candidate combines excellent communication and client-facing skills, and is comfortable both supporting clients and leading conversations when required with strong technical capabilities.

This role requires a hands-on, proactive approach, with the ability to dive into technical details, solve problems, and contribute across multiple projects. The candidate should thrive in a collaborative environment, supporting senior consultants while also taking ownership of their work and interactions with clients.

Key Responsibilities

  • Participate in client engagements, understanding requirements and translating them into actionable solutions.

  • Support the delivery of data management, analytics, or digital projects, including technical tasks such as data integration, reporting, or analysis.

  • Prepare and deliver presentations, documentation, and reports for clients.

  • Collaborate closely with senior consultants and cross-functional teams to ensure project success.

  • Engage proactively in problem-solving, providing recommendations and supporting implementation.

  • Communicate clearly with clients, balancing technical detail with business context.

  • Assist in developing proposals or supporting RFP responses as needed.


  • Requirements
  • At least 1-3 years of professional experience in consulting, data management, analytics or digital projects.

  • Strong technical aptitude with the ability to engage in hands-on tasks when needed.

  • Excellent communication and interpersonal skills.

  • Comfortable working directly with clients and contributing to discussions at both technical and business levels.

  • Self-starter mindset, proactive, and able to work independently or as part of a team.

  • Fluency in Spanish and English. Other languages can be a plus.

  • Desired Skills

  • Knowledge of ETL, MDM/PIM, BI tools, AI or analytics platforms.

  • Experience supporting client workshops, data assessments, or solution design.

  • Ability to adapt to different projects and industries.

  • Problem-solving, critical thinking, and attention to detail.


  • Benefits
  • Hybrid work environment: 3 days of telework per week.

  • Intensive work schedule in August

  • Exposure to strategic data and analytics projects with global clients

  • Opportunity to grow technical and client-facing expertise.

  • Collaborative environment with mentorship and learning opportunities.

  • Competitive compensation and career growth potential.

  • *At Infoverity, we value the diversity of our team and are committed to equal opportunities and non-discrimination, respecting each person's individuality*

    Sobre Infoverity

    Infoverity es una empresa de consultoría y gestión de datos con sede en Chicago, EE. UU. La compañía se especializa en gestión de datos maestros (MDM), gobierno de datos e integración de datos empresariales, ayudando a grandes organizaciones a gestionar y aprovechar sus activos de datos de manera efectiva. Infoverity atiende a clientes de diversas industrias, incluyendo retail, manufactura y salud, y es reconocida en el sector de gestión de datos por su experiencia en plataformas como Informatica y otras herramientas de MDM.

    Infoverity tiene una presencia creciente en España, con un enfoque en expandir sus capacidades de entrega en Europa. La cultura laboral de la empresa enfatiza la colaboración, la excelencia técnica y soluciones centradas en el cliente, lo que la convierte en una opción atractiva para profesionales internacionales de datos. Aunque la oficina en España es relativamente pequeña, ofrece oportunidades para que profesionales reubicados trabajen en proyectos globales y contribuyan a la expansión de la empresa en la región.

    Fundación
    2011
    Plantilla
    500–1,000
    Sede
    Chicago, EE. UU.
    En España
    Madrid

    Datos prácticos

    • Infoverity tiene presencia global con oficinas en EE. UU. y Europa, ofreciendo oportunidades para asignaciones internacionales.
    • La empresa se especializa en gestión de datos, un campo de alta demanda, lo que proporciona un fuerte crecimiento profesional para los profesionales de datos.
    • La oficina en España es relativamente nueva, ofreciendo la oportunidad de formar parte de un equipo en expansión en Europa.
    • Infoverity trabaja con grandes clientes empresariales, dando a los empleados exposición a proyectos de datos complejos y a gran escala.
    • La empresa valora la experiencia técnica y ofrece un entorno de trabajo colaborativo.
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