Data Analyst Intern

Description

You will join the Revenue and Market Analytics team, delivering clear, usable business insights to help the company's global commercial leaders shape and run their commercial strategy.

You will look at large, complex datasets and explore them creatively to spot trends, produce insights and shape a clear story that supports decisions.

This is a 6-month internship based in Barcelona, starting in January or February 2027.

Responsibilities

• Analyse the company's global performance, market dynamics and competitors, pointing out growth opportunities and risks and turning findings into actions for C-level stakeholders.
• Help build and automate repeatable, scalable market analyses that combine commerce and consumer data, producing vertical and geography insights on seasonality, category trends and shopper behaviour for Marketing, Go-to-Market and Commercial teams.

Requirements

• Working knowledge of SQL for extracting and manipulating data, Python for analysis, and visualisation tools such as Tableau and/or Power BI.
• A bachelor's degree or higher in a quantitative subject such as mathematics, computer science, engineering, economics or business.
• Sharp, curious mind that can structure and solve complex problems, with a solid grasp of statistical modelling.
• Business sense and a real interest in the ad tech sector.
• Interest in, and hands-on use of, generative AI to speed up data exploration, automate insights or draft analytical narratives.
• Strong presentation skills, including PowerPoint, and the ability to turn data into clear business insights and recommendations.
• Excellent written and spoken English.
• Initiative, a collaborative attitude and commitment.
• Candidates who do not match every requirement are still encouraged to apply if they believe they can add value.

Conditions

The company is the Commerce Intelligence Platform, helping businesses turn shopper signals into commerce results and more relevant shopping experiences using proprietary commerce intelligence and AI decisioning.

The company has around 3,600 employees working from offices worldwide or from home.

The hybrid model combines home working with time in the office.

Employment decisions are based only on skills, qualifications and business needs, never on non-job-related factors or legally protected characteristics.

Additional benefits may vary by country and by the type of employment.

Benefits

• Learning, mentorship and career development programmes.
• Health benefits, wellness perks and mental health support.
• A diverse, inclusive and globally connected team.
• Competitive salary, performance-based rewards and family-friendly policies, plus possible equity depending on role and level.