Senior Data Analyst

About Bandai Namco Entertainment Europe

Bandai Namco Entertainment Europe is a leading global publisher, developer and distributor of entertainment content for platforms including, but not limited to, all major video game consoles and PC. Part of the Japanese Bandai Namco group, we are known for bringing many entertainment's top franchises to market such as PAC-MAN™, GUNDAM™, TEKKEN™, ACE COMBAT™, DARK SOULS™, and ELDEN RING™, as well as European led projects such as LITTLE NIGHTMARES™. Bandai Namco Entertainment Europe has 15 international offices with operations in 50 countries and is headquartered in Lyon, France’s capital of gastronomy, located at the intersection of two rivers, creating a lively peninsula at its center. Our company's motto is ‘Fun for all into the future’, join Bandai Namco Entertainment Europe’s family now to be part of that journey!

Job Description: Senior Data Analyst

Within the Editorial & Content Intelligence department, the Senior Data Analyst brings advanced data science expertise to several dimensions of video games analytics. The role focuses on building predictive models, conducting deep statistical analyses, and generating high-impact business insights that support strategic decision making across Bandai Namco Entertainment Europe’s portfolio.

Main Responsibilities:

• Lead Data Science & Advanced Analytics Initiatives: Design, develop, and deploy predictive models using Python and machine learning frameworks.
• Conduct advanced statistical analyses: hypothesis testing, regression modeling, time series analysis, causal inference, and cohort-based studies.
• Build player segmentation models using clustering and behavioral analysis.
• Manage In-Game Behavioral Analytics: Support the appropriate events definition and tag plan.
• Analyze player behavioral data to generate post-launch and live-ops insights.
• Support A/B testing design and interpretation for in-game features and content updates.
• Work alongside the team to ensure data quality and analytical consistency on in-game datasets housed in Snowflake.
• Develop NLP-Powered Player Feedback Intelligence: Design and build NLP pipelines to collect, process, and analyze player feedback at scale from multiple sources.
• Develop sentiment analysis models to track player satisfaction trends.
• Leverage LLMs and GenAI for feedback summarization and classification.
• Shape the Analytics Strategy & Platform Usage: Contribute to the analytics roadmap by identifying where advanced modeling and automation can improve existing processes.
• Leverage Snowflake and Microsoft Fabric as core platforms for data analysis, model development, and insight delivery.
• Promote best practices in statistical rigor, reproducibility, and documentation.
• Create Impactful Reporting & Data Visualizations: Develop automated dashboards and reports using Power BI and Microsoft Fabric.
• Enable stakeholder autonomy through well-documented, self-service dashboards and data literacy support.

Candidate Profile:

• 5+ years in a data science or advanced analytics role, ideally within the video games or entertainment industry.
• Master’s degree in Business, Economics, Statistics, Econometrics, Computer Science, or Engineering.
• Proven track record of deploying predictive models or advanced statistical analyses that drove measurable business decisions.
• A first experience with in-game data analysis is expected (even partial or project-based), demonstrating the ability to work with behavioral player data.
• Fluent in English (spoken and written).
• Genuine interest in video games and in using data to support decisions.
• Solid Python skills for data analysis and modeling (pandas, NumPy, scikit‑learn, statsmodels, matplotlib/seaborn, Jupyter).
• Comfortable using LLMs and GenAI APIs.
• Experience with modern data platforms: advanced SQL, Snowflake, and Microsoft Fabric (lakehouse, notebooks, Power BI integration).
• On Power BI, ability to build dashboards with DAX measures, data modeling, and interactive visuals.
• Strong command of statistical methods: hypothesis testing, regression, A/B testing, causal inference, Bayesian approaches.
• Experience in player or customer analytics: segmentation, LTV modeling, churn prediction, funnel and cohort analysis.
• Good understanding of video game business models (premium, F2P, GaaS), player lifecycle and market dynamics.
• Strong organizational skills and ability to manage multiple projects simultaneously.
• Team-oriented, with strong interpersonal and communication skills.

Application Process:

Please send us your CV and cover letter in English (applications submitted in other languages will not be considered).

Additional Information:

• Job location: 15 rue Félix Mangini, 69009 Lyon – France
• Contract: Permanent / Full-time
• Start date: April 2026
• Remuneration: Fixed and variable compensation
• Benefits: Flexible working hours, 2 teleworking days per week, lunch vouchers, reimbursement of public transportation costs, work council advantages (gift vouchers, discount on services...), nice building with various facilities (gym room, gaming room, nap room, car / bike / scooter parking, cafeteria and coffee corners…)

Key skills/competency

• Data Science
• Advanced Analytics
• Predictive Modeling
• Statistical Analysis
• Python
• Machine Learning
• NLP
• LLMs
• GenAI
• Power BI
• Snowflake
• Microsoft Fabric
• SQL
• A/B Testing
• Player Analytics