Beschreibung

As a Game Data Analyst, you will dive into player journeys and game mechanics, uncovering insights that drive game development. This role involves collaborating with stakeholders, designing experiments, and enhancing the analytics ecosystem to deliver impactful results.

Anforderungen

• •University degree in Economics, Mathematics, Physics, Data Science, Data/Business Analytics, or comparable qualification
• •At least 2 years of experience in Gaming/Product Analyst, Marketing Analyst, or Analytics Engineer roles
• •Advanced knowledge of SQL
• •Knowledge of Python or R
• •Understanding of product life cycle and end-to-end pipelines for Analytics
• •Familiarity with external data sources from Marketing ads, CRM, or CS tools
• •Understanding of internal product tracking using tools like Avo, Segment, GA, Adjust, or AppsFlyer
• •Knowledge of analytics engineering principles for data modelling in BigQuery, Redshift, Snowflake, Clickhouse, Databricks, or dbt
• •Experience with visualisations in Tableau, PowerBI, or Looker
• •Hands-on experience in A/B testing and experimentation
• •Ability to manage ambiguity and translate it into manageable projects
• •People-oriented and excellent communication skills
• •Fluency in written and spoken English
• •Experience in gaming/product company doing Analytics at scale
• •Deep knowledge of statistical modeling, machine learning algorithms, hypothesis testing, and experimental design
• •Hands-on experience with MLOps principles for model deployment in cloud environments like AWS, Azure, or GCP
• •Completion of a test expected from qualified applicants

Aufgaben

• •Analyze player journeys and game mechanics
• •Investigate KPIs to uncover growth opportunities
• •Communicate findings through visualizations and storytelling
• •Collaborate with stakeholders to define success metrics
• •Design and execute experiments based on player insights
• •Improve BI ecosystem and data pipelines
• •Own the full analytics cycle from questions to insights
• •Identify trends and anomalies through monitoring
• •Support data democratization across teams
• •Focus on delivering business value through analytics

Tools & Technologien

Benefits