{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Data Analyst H/F
Role details
Job location
Tech stack
Job description
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.
Your main responsibilities will include (non-exhaustive list):
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
Requirements
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, scikitlearn, 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
Benefits & conditions
Job location: 15 rue Félix Mangini, 69009 Lyon - France / This position is not eligible to full remote
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...)
