Junior Data Translator, IT

IE Group

Madrid

Presencial

EUR 28.000 - 42.000

Jornada completa

14 días+

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Descripción de la vacante

IE University in Madrid invites applications for a Junior Data Translator. You will bridge business needs with data and AI initiatives, working within IE University's IT Department to deliver measurable impact.

In this role you translate requirements for data scientists, manage ETL tasks, and prepare datasets for insights. You will contribute to data activation across the organization, with autonomy to lead projects and train teams.

Formación

  • Degree in data science, analytics, engineering, education, economics, statistics, or related field; Master’s preferred.
  • Experience managing data, analytics, or AI projects is a plus.
  • Strong analytical and statistical skills; translate data into actionable insights.
  • Ability to connect business needs with technical solutions for non-technical stakeholders.
  • Hands-on knowledge of ETL, data preparation, and data transformation.
  • Familiarity with Microsoft Fabric or similar cloud-based platforms.
  • Familiarity with Power BI.
  • Understanding of AI applications in education, academia, or business contexts.
  • Strong communication, stakeholder management, and project coordination skills.
  • Ability to work independently and move initiatives forward with autonomy.

Responsabilidades

  • Collaborate with business, academic, and operational teams to understand needs and identify data opportunities.
  • Translate business requirements into briefs for data scientists, engineers, AI specialists, and other technical teams.
  • Prioritize and manage the pipeline of data and AI projects, balancing goals and capacity.
  • Ensure effective communication between technical and non-technical stakeholders throughout the project lifecycle.
  • Monitor progress, timelines, coordinate stakeholders, and assess impact of solutions.
  • Conduct statistical analyses to generate actionable insights for decision-making.
  • Work with data platforms like Microsoft Fabric to manage, transform, and prepare data.
  • Perform ETL processes to enable greater autonomy in technical projects.
  • Lead or contribute to end-to-end data projects from problem framing to insights and implementation.
  • Facilitate training and workshops to promote data literacy and AI adoption.
  • Identify opportunities to improve data processes and analytics capabilities across the organization.

Conocimientos

Analytical thinking
Stakeholder management
Project coordination
Business-technical translation
Communication
Autonomy

Educación

Degree in Data Science, Analytics, Engineering, Education, Economics, or related field
Masters preferred

Herramientas

Microsoft Fabric
Power BI
ETL tools

Descripción del empleo

Overview

Are you interested in joining a dynamic and international team of professionals to transform education? IE University'sIT DEPARTMENT is looking for aJUNIOR DATA TRANSLATOR to join its team!

Why IE University?

Every story begins with a purpose, and ours has always been about people. Founded in 1973, IE University has continuously raised the bar to drive positive change through education. We believe education is more than a path to professional success; it is a catalyst for personal transformation and meaningful impact.

At IE University, we place people and their potential at the center of everything we do, empowering individuals to become extraordinary. We encourage bold thinking and foster a culture where innovation, curiosity, and courage lead to real-world impact. Together, we create an environment where talent thrives, and ideas shape the future.

As a Junior Data Translator, you will play a pivotal role in managing the demand for data and AI projects within one of our teams. You will act as the key liaison between technical experts and educational stakeholders, ensuring that initiatives are aligned with institutional goals, deliver measurable impact, and drive data-informed decision‑making.

This role requires a strong combination of business understanding, analytical thinking, stakeholder management, and hands‑on technical knowledge.

The ideal candidate should be able not only to translate business needs into data and AI initiatives, but also to lead or directly execute more technical projects when needed, including data analysis, ETL processes, and the preparation of datasets for insight generation.

A key aspect of the role is the ability to work with a high level of autonomy, helping the team move faster, respond more effectively to business needs, and enable better activation of data across the organization.

Our mission

We support students in developing impact skills to live and lead with positive impact. This ignites a ripple effect: We transform people, who then transform others, systems, society, and, ultimately, our world.

Our Purpose

To foster positive change.

Values

  • Cultivate the humanistic approach.
  • Empower your entrepreneurial spirit
  • Cherish the diversity of people, mind, and experience
  • Drive innovation with a proactive mindset

We are looking for a person to join a full-time position inMadrid - IE Tower

Responsibilities

Your role as a Junior Data Translatorwill involve:

  • Collaborate with business, academic, and operational teams to understand their needs and identify opportunities for data and AI applications.
  • Translate business requirements into clear, actionable project briefs for data scientists, data engineers, AI specialists, and other technical teams.
  • Prioritize and manage the pipeline of data and AI projects, balancing strategic goals, operational demands, and available technical capacity.
  • Ensure effective communication between technical and non-technical stakeholders, fostering mutual understanding and alignment throughout the project lifecycle.
  • Monitor project progress, manage timelines, coordinate stakeholders, and assess the impact of implemented solutions.
  • Conduct statistical and analytical assessments of information to generate actionable insights that help business teams better understand, activate, and leverage data in their decision-making processes.
  • Work with data platforms such as Microsoft Fabric to manage, transform, and prepare information for analysis, reporting, and project execution.
  • Perform ETL processes when needed, enabling greater autonomy in technical projects and reducing dependency on other teams for certain data preparation tasks.
  • Lead or contribute to end‑to‑end data projects, from understanding the business problem and transforming the required data, to performing the analysis, generating insights, and supporting implementation.
  • Facilitate training and workshops to enhance data literacy and promote AI and data adoption among academic and business teams.
  • Identify opportunities to improve data processes, analytical capabilities, and the overall use of data across the organization.
Qualifications

To thrive in this role, you should possess the following qualifications:

  • Degree in Data Science, Business Analytics, Engineering, Education, Economics, Statistics, or a related field. Master’s degree preferred.
  • Experience managing data, analytics, or AI-related projects is a plus.
  • Strong analytical and statistical skills, with the ability to interpret complex information and transform it into clear, actionable insights.
  • Ability to connect business needs with technical solutions, translating complex data concepts into user-friendly language for non-technical stakeholders.
  • Hands‑on knowledge of ETL processes, data preparation, and data transformation.
  • Familiarity with data platforms such as Microsoft Fabric, or similar cloud-based data and analytics environments.
  • Familiarity with data visualization tools such as Power BI.
  • Understanding of AI applications and their potential use in educational, academic, or business contexts.
  • Strong communication, stakeholder management, and project coordination skills.
  • Ability to work independently, take ownership of projects, and move initiatives forward with agility.
  • A passion for education, innovation, and making a meaningful impact through data and AI.
  • Unleash your full potential and make an impact. The next move is yours!

At IE University, we actively promote equal opportunities in recruitment processes and access to employment, always ensuring the absence of gender, sexual orientation, religion, age, ethnic origin, or disability bias throughout the entire selection process.

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