• Support various data-related projects across different departments, by working with diverse data sets to clean, manipulate, and analyse data using tools such as R and Python.
• Conduct thorough data quality checks and ensure the integrity of the data.
• Apply a range of statistical techniques and modelling processes to transactional and attitudinal data.
• Understand industry best practices for data modelling to organise the data behind Power BI reports.
• Develop and maintain interactive Power BI dashboards in order to translate complex data sets into easy-to-understand visualizations for stakeholders.

• University Degree (Bachelor’s or Master’s Degree) in Statistics, Mathematics, Data Science, or equivalent fields.
• Business proficiency in English (B2 Level Minimum Required).
• Demonstrable experience with data analysis, either through academic coursework, projects, or internships.
• Comfortable programming skills in R and/or Python will be required.
• Experience or knowledge in SQL for database management and querying.
• Familiarity with Power BI or other relevant data visualization tools.

• A passionate learner willing to set aside hours each week to upskill yourself and progress quickly with the tools at your disposal.
• Inquisitive, with critical thinking, and demonstrates a genuine passion for consumer behaviour.
• Enjoys actively looking for new and more efficient ways of improving processes, raising standards, reducing errors, and overcoming omissions.
• Is proactive, optimistic, and willing to get involved to achieve the team's goals and objectives.
• Is highly collaborative and adaptable with the ability to work effectively within different cultural and technical environments.
• Possesses outstanding communication and interpersonal skills in order to comfortably connect with partners at all levels across the organization and facilitates discussions in a constructive manner.

• 1st Stage – Numerical Reasoning Assessment Test.
• 2nd Stage – Screening Interview with Talent Acquisition.
• 3rd Stage – Technical interview with Hiring Managers.

Portugal