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
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.
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