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BI Analyst

2 months ago

Oxford Oxfordshire, United Kingdom Harnham Full time €65,000

Games Data Analyst/Scientist Salary : Up to £65,000
Location : Oxford (5 days a week in the office/relocation package possible)


Join a dynamic team as a Games Data Analyst/Scientist, where you will apply advanced analytics to drive player engagement, optimize game performance, and enhance the overall gaming experience. This role involves executing data-driven projects using agile methodologies to maximize in-game revenue and player retention.


Player Behavior Analysis : Develop and refine models to analyze player behavior, including churn prediction, in-game purchasing patterns, and engagement metrics.
Game Performance Optimization : Contribute to creating and enhancing algorithms that optimize game mechanics, pricing of in-game items, and other revenue-generating aspects.
Model Deployment : Deploy predictive models into production, ensuring that insights are actionable for game designers and developers.
Performance Monitoring and Insights : Develop and maintain queries and visualizations to monitor key game metrics, identifying any performance variability and providing actionable insights for decision-making.
Deep Dive Analysis : Perform in-depth analysis to illuminate player behavior and recommend improvements to enhance the gaming experience.
A/B Testing : Design and assess the results of various split testing experiments to evaluate the impact of new features, pricing changes, and gameplay adjustments on player behavior.
Data Governance and Tools : Support the ongoing development of the studio’s data governance practices, BI tools, and technologies, ensuring the integrity and accessibility of data.
Market Awareness : Stay informed about the latest trends in gaming analytics, competitor strategies, and emerging technologies to keep our games competitive and innovative.
Stakeholder Collaboration : Work closely with game designers, product managers, and other stakeholders to translate game objectives into impactful data-driven insights.


Programming and SQL Skills : Proficient in Python or R with strong SQL abilities, particularly in analyzing large-scale gaming data.
Excellent analytical and statistical skills, with hands-on experience in predictive modeling, player segmentation, and time series analysis related to gaming.
Experience with cloud-based analytical platforms like Databricks, Snowflake, and Google BigQuery, particularly in gaming analytics contexts.
Commitment to Accuracy : Strong focus on accuracy, attention to detail, and rigor in analysis, ensuring reliable insights that drive game improvements.
Data Governance and Quality : Understanding the importance of data governance and maintaining high data quality standards in gaming data models.
Curiosity and Commercial Insight : Passionate about gaming challenges, with the ability to extract maximum value from data science through effective storytelling, visual support, and efficient workload management using Jira/Confluence.


Hybrid working model .
Bonus .