Digital Analytics & Data Science Intern at DAZN
Job Description
Why Join DAZN?
Joining DAZN in Madrid means becoming part of one of the fastest-growing sports streaming services globally. You’ll gain hands-on experience in a dynamic, innovative environment alongside passionate professionals who are shaping the future of sports entertainment. If you love sports, enjoy organising, and want to learn the ins and outs of production, finance, and content management in the TV industry, DAZN Madrid is the perfect place to kickstart your career.
The Role:
As a Digital Analytics & Data Science Intern within the Trading Performance & Optimization team, you will have the opportunity to contribute to the success of one of Spain’s leading sports streaming platforms by supporting data-driven decision-making across DAZN’s digital ecosystem.
As DAZN continues to grow its subscriber base, expand its content offering, and optimize customer experiences, the need for advanced analytical capabilities is increasing. This internship is designed to strengthen the team’s ability to transform large and complex datasets into actionable insights, enabling smarter commercial decisions, improved customer engagement, and greater return on content and marketing investments. The role also provides hands-on exposure to data science techniques, experimentation, and predictive analytics in a fast-paced digital environment.
This role will be based in our Madrid office. The internal title will be Digital Analyst, and it will be a 6 month contract.
Please note, our Talent Acquisition team and some Hiring teams are based in the UK so parts of the recruitment process will be in English. Please also upload your resume in English, thanks!
By joining DAZN, you will be part of a company that has earned the Great Place to Work certification, a recognition we’ve achieved thanks to the commitment and professionalism of everyone at DAZN Spain. This certification reflects the exceptional environment we've built together, where employee well-being is a top priority. At DAZN, we take pride in being an excellent place to work, as confirmed by the experiences and feedback of our team members.
- Support the extraction, transformation, analysis, and visualization of large datasets related to customer acquisition, retention, engagement, content performance, and commercial outcomes.
- Develop and maintain dashboards, automated reporting solutions, and analytical frameworks to support strategic and operational decision-making.
- Perform exploratory data analysis to identify trends, patterns, and opportunities for business optimization.
- Apply statistical methods and data science techniques to understand customer behaviour, forecast performance, and generate actionable recommendations.
- Collaborate with cross-functional teams to evaluate product, content, and marketing initiatives through data-driven analysis.
- Contribute to experimentation and A/B testing analysis to measure the impact of new initiatives.
- Present insights and recommendations in a clear and compelling way to both technical and non-technical stakeholders.
- Currently pursuing a degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or a related quantitative discipline.
- Strong analytical mindset with a passion for solving business problems through data.
- Knowledge of SQL and experience with Python or R for data analysis (Pandas, NumPy, Scikit-learn or similar libraries are a plus).
- Familiarity with data visualization tools such as Tableau, Power BI, or Looker is desirable.
- Understanding of statistical concepts and an interest in predictive modelling and machine learning.
- Strong communication and presentation skills, with the ability to translate data into business insights.
- Excellent organizational skills and the ability to manage multiple priorities in a fast-paced environment.
- Fluent in both Spanish and English, written and spoken.
- This is an internship for 6 months to build experience and a career in Marketing Analytics and Data Science, ideal for anyone who has finished a related degree program.