Betclic Group

A leader in Europe in sports betting and online games, Betclic is a French company with:

• 11 million players vibrating to the rhythm of sports competitions
• A wide range of sports betting, poker, casino games and online horse betting
• More than 50 sports open to betting
• 300,000 sports events available to bet on each year
• 60,000 live sporting events broadcast each month
• More than 3,000 casino games to try out
• Over 2 million poker games played each month
• Numerous official partnerships; for example in France : the FFF, Ligue 1 Uber Eats, the Coupe de France, Rugby Top 14 (LNR), the Betclic Elite in basket-ball (LNB), UBB, Boxers de Bordeaux…

You will join the Data Analytics team, part of a larger Data team which also includes Data Science, Data Product Management and Product Analytics teams. The Analytics team mission is to grow the business by identifying critical insights and high value opportunities. You'll integrate a fast growing team of +30 passionate individuals tackling challenges of all sorts: from scaling marketing campaign analytics to building complex customer segmentations to predicting the outcome of the next football game.

You will join the Payment & Account Analytics team whose role is to provide business insights to 3 different teams : Payment which is in charge of providing the best payment experience to our customers, Fraud team which is in charge of detecting fraudsters as accurately as possible and Account which is in charge of optimizing the life cycle management of all Betclic accounts.

Your mission will be :

• Partner with product directors and business leaders to deeply understand their challenges and help them drive their activity
• Deliver insightful analysis with convincing and actionable recommendations that will impact the product quickly
• Identify high value added opportunities to unlock business potential
• Develop decision making tools in a privacy first environment

Some examples of recent analysis:

• How to improve the payment experience at Betclic?
• How can we optimize our players' reinvestment?
• How to effectively detect identity and payment fraud?
• How to fight against money laundering?

You should apply if:

• You have a master degree in statistics / data analytics
• You have at least 3 years of Data Analytics experience where you have provided relevant recommendations data based
• You can manage a project by yourself
• You are "business minded" - you are able to make actionable and impactful recommendations
• You have a good analytical mindset, are rigorous, and synthetical
• You have great communication and presentation skills
• You are proactive and can be autonomous in manipulating data (SQL is mandatory)
• You are familiar with at least one Data visualization tool
• You want to grow and keep learning
• You are agile and able to adapt to a fast pace environment

Bonus:

• You know a programming language
• You are aware of Git & versioning concepts
• You are keen on empowering gamblers to bet responsibly

✅ 25 days of paid leave and 10 RTT days

🍽️ A Ticket Restaurant® card credited with €11 per day (€6 per day funded by Betclic)

🩺 100% health insurance coverage for you and your children

🚆 50% reimbursement of public transport costs or an annual sustainable mobility allowance (€230 for commuting with sustainable transport)

🏡 Hybrid work model

📚 Access to a vast training catalog, with opportunities for professional development every year

🎓 Regular training on skills you want to develop further (ML, Stats but also French or English classes)

🏢 Extraordinary office spaces with a rooftop where you can enjoy sunny breaks with a view of the Cité du Vin

🎉 Internal events to liven up your daily life

🏋️ On-site sports classes and organized tournaments (Pilates, circuit training, boxing, yoga, futsal, padel, tennis…)

💻 Access to a state of the art data stack (Snowflake, Airflow, git, Tableau,...)

🧩 Complex challenges with well-structured data thanks to our BI team, let's start analyzing

🎲 Vibrant analytical topics: imagine the future of online gambling