THE SCOPE
With 30 years of history, today Gaming1 is one of the international leaders in both land-based and online games of chance (casino games, sports betting and poker). Its evolution at the heart of innovation is accompanied by a diversification and specialization of positions, with the creation of new cutting-edge jobs. As part of its sustained growth, Gaming1 is looking for a proactive, curious, and impact-driven BI Analyst who thrives in an environment where ownership, initiative, and fast learning are key. If you're passionate about working with data at scale, leveraging the latest technologies, and shaping a next-level data culture, this is the opportunity for you if you are looking for:
- A dynamic, fail-fast, and learning-driven culture – We believe in taking ownership, making bold decisions, and learning from our mistakes without a blame game mentality.
- Cutting-edge tech & ambitious data projects – We’re building strong data foundations with Data Mesh, scalable pipelines, AI-driven automation, and advanced analytics.
- Autonomy & impact – We empower our people to take initiative and drive meaningful change.
YOUR ROLE
The BI Analyst is responsible for collecting, cleaning, and analyzing data to create actionable insights and data products that drive business decisions. This role involves leveraging tools using PySpark to develop, clean, and process large datasets while also designing reports, dashboards, and analytical models to support strategic and operational objectives.
- Support the Business with Data-Driven Insights
- Own and improve existing reports and tools to ensure stakeholders always have reliable, actionable data.
- Help teams make data-driven decisions by transforming complex information into meaningful insights.
Define & Monitor Business KPIs
Translate business strategies into impactful and measurable KPIs.
Continuously monitor and optimize key performance indicators to ensure alignment with business goals.
Analyze customer behavior to identify trends and drive improvements in customer experience.
Data Engineering & Analytics
Design, build, and maintain scalable data pipelines using PySpark, PostgreSQL, S3, Redshift, and other cloud-based solutions.
Ensure high standards of data accuracy, consistency, and security.
Implement AI-powered analytics to enhance business intelligence capabilities.
Lead the development of interactive dashboards and insightful reports using Power BI (or equivalent tools).
Strong skills in Power BI and DAX for building dynamic, interactive reports and optimizing data models.
Drive a Next-Level Data Culture
Advocate for modern BI methodologies (Data Mesh, Dimensional Modeling).
Collaborate with engineering and business teams to push the boundaries of data automation and innovation.
Ensure that analytics tools are always in a state-of-the-art condition, evolving with the latest industry trends.
