Data Analyst - Sport (Hybrid)

WE ARE BETCLIC 🎯

Betclic, European leader in sports betting, is much more than just an online gaming site! Also offering Poker, Horse Racing, and Casino games across various countries and continents, it is an inspiring and forward-thinking company: every day brings new challenges in a modern and dynamic environment. As an influential player in the tech industry, with strong and sustained growth over the years, we believe in innovation through diversity and inclusion and encourage everyone to reach their full potential. With our multicultural team, we provide an optimal, safe and responsible gaming experience, powered by cutting-edge technology.

💡An international and creative environment where every project is an opportunity to innovate

📈Hypergrowth that brings new challenges and development opportunities every day

🏡A healthy work-life balance: flexible remote work and workplace well-being are essential pillars for us.

🌟A unique and friendly atmosphere, with 1,300 employees across 5 countries and our headquarters in Bordeaux

Are you passionate about sports and tech? Join us and help shape the future of online gaming!

#JoinBetclic #WeAreBetclic

ENTER THE GAME

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.

With Sportsbetting being the DNA of the company and generating most of its revenue, Betclic is looking to strengthen its Sports Analytics team, responsible for delivering analytics touching the very heart of our business model: betting products, strategies and offers. Working directly with the sports team, your work and analysis will significantly contribute to improving our betting products, offers and strategies, while helping assess their impact on our players and overall business performance.

• Partner with product managers and business stakeholders to gain a deep understanding of their current and upcoming challenges
• Deliver insightful analyses with convincing and actionable recommendations that drive meaningful product improvements and tangible business impact
• Identify high-value opportunities to unlock business potential and support product and business decision-making
• Develop decision-making tools and analytical frameworks to support data-driven initiatives
• Collaborate closely with Data Product Managers, Data Scientists and Analytics peers to deliver impactful solutions
• Contribute to analytical best practices and help foster a strong data-driven culture across the organization

As a Senior Data Analyst, you will work closely with product stakeholders and the Sports Data Product Owner to help shape analytical initiatives and support key business decisions. You will regularly interact with product teams and business stakeholders, bringing a strong analytical perspective to strategic discussions and helping teams make better data-informed decisions.

Some examples of recent projects:

• "Risk & liability" management data products to support trading teams
• Development of recommendation algorithms in close collaboration with Data Science team
• Product features performance analysis through state-of-the-art A/B testing

• You know a programming language
• You are aware of Git & versioning concepts

WHAT CAN YOU EXPECT? 🎁

✅ 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

Permanent contract, available immediately in Bordeaux

📍 Betclic Group – 117 Quai de Bacalan, 33300 BORDEAUX

HIRING PROCESS

If your application is selected, you will be contacted by Joe to complete an online technical test, followed by a 30-minute HR pre-qualification

Next, you will have a technical interview via video call, covering SQL, Python, statistics, probability, analytics, and business sense

You will then have one week to complete an analytical Use Case and an AssessFirst test (personality, motivations, and reasoning)

After that, you will visit us in our offices to present your Use Case and meet Xavier - Senior Data Analytics Manager (your future manager), Iouri – Chief Data Officer, and a business stakeholder

During your visit to Bordeaux, you will also have a final HR interview, including a debrief on your AssessFirst test

In order to provide an optimal applicant experience, the overall hiring process at Betclic lasts 4 to 6 weeks.

This job is for you if:

• You have a master degree in statistics / data analytics
• You have at least 3 years of Data Analytics experience during which you have consistently delivered relevant, actionable data-driven recommendations with measurable business impact
• 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 proficient in SQL & Python
• You are familiar with at least one Data visualization tool
• You are proactive, and want to grow and keep learning
• You are able to manage analytical projects independently and drive them from discovery to delivery
• You are agile and able to adapt to a fast pace environment