Digital Analytics & Data Science Intern

DAZN

Madrid, EShybridPosted Jul 24, 2026
Posting intelligenceActively listed

Skills

scikitlearntableaulookerpandaspythonnumpy

About the role

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, 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.

What You'll Be Doing:

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.

What You'll Bring:

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.

Benefits

Benefits include access to DAZN, medical insurance fully funded by the company provided by Cigna (including access to a medical chart, premium hospitals and a reimbursement policy), Cobee flexible compensation policy: 180€ every month to be used on a range of social benefits, refer a friend scheme, learning and development resources, opportunity for hybrid working, and access to our internal speaker series and events.

About DAZN

At DAZN, we bring ambition to life. We are innovators, game-changers and pioneers. So, if you want to push boundaries and make an impact, DAZN is the place to be.

As part of our team, you'll have the opportunity to make your mark and the power to make change happen. We're doing things no-one has done before, giving fans and customers access to sport anytime, anywhere. We're using world-class technology to transform sports and revolutionise the industry and we're not going to stop.

DAZN VALUES – THE ‘HOW’ IN WHAT WE DO:

Agility and creativity fuel growth and innovation, to Make It Happen.

Prioritising what matters drives progress and positive outcomes, Focusing On Impact.

Collective ambition builds optimism and success, in order to Win As One.

At DAZN, we are committed to fostering an inclusive environment that values equality and diversity, where everyone can contribute and have their voices heard. This means hiring and developing talent across all races, ethnicities, religions, age groups, sexual orientations, gender identities and abilities.

If you’d like to include a cover letter with your application, please feel free to. Please do not feel you need to apply with a photo or disclose any other information that is not related to your professional experience.

Our aim is to make our hiring processes as accessible for everyone as possible, including providing adjustments for interviews where we can.

We look forward to hearing from you.

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