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.

WHY JOIN US?

At Betclic, success comes from passionate and committed teams. Here's why you'll love working with us:

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!

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 +40 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.

YOUR ROLE WITHIN BETCLIC

In a global landscape where identity theft is on the rise, Betclic is dedicated to reinforcing its defenses, enhancing account and identity management for its customers, and optimizing its strategy to fight identity fraud.

You will join the newly-established Identity Analytics team whose role is to provide key business insights to the Identity product team, hence ensuring the definition and the implementation of a best-in-class account & identity management strategy for our customers. The Identity team missions revolves around the 3 following workstreams: (i) identity verification, (ii) user authentication and (iii) account management

Your mission will be :

• Partner with product directors and business leaders to gain a deep understanding of their current and upcoming challenges
• Deliver insightful analysis with convincing and actionable recommendations that will drive meaningful product improvements and tangible impact on our activity
• Identify high value added opportunities to unlock business potential, and hence contribute to future roadmaps definition
• Develop decision making tools in a privacy-first environment to support data-driven strategic initiatives

Some examples of recent analysis:

• How to improve user login journey and remove potential frictions?
• How to design, deploy & evaluate an in-house OCR solution?
• How to secure authentication using various verification methods?

WHO WE ARE LOOKING FOR?

We are looking for passionate and curious professionals who bring kindness and a touch of enthusiasm!

This job is for you if:

• You have a master degree in statistics / data analytics
• You have at least 1 year of Data Analytics experience where you have provided relevant recommendations data based
• 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-paced environment

Bonus:

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

WHAT ARE THE RECRUITMENT STEPS?

• If your application is selected, you will be contacted by Elodie 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.

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