Description
Analytical
Conduct exploratory analyses to uncover player trends, engagement patterns, and friction points
Translate findings into clear insights to support product development and UX initiatives
Statistical Analysis
Apply core statistical techniques such as:
Hypothesis testing
Regression analysis
Clustering or segmentation logic
Support forecasting and behavioral modeling with guidance from senior analysts
Experimentation & A/B Testing
Assist in the setup, monitoring, and analysis of A/B tests and product experiments
Contribute to test design and metric definition in collaboration with product managers
Summarize results and support interpretation of causal impacts with guidance from senior analysts
Data Visualization & Communication
Build and maintain dashboards using tools like Dash, Streamlite or Power BI
Present insights in recurring team syncs or product planning sessions
Document analysis and findings in a clear, stakeholder-friendly format
Requirements
Qualifications & Requirements
1+ years of experience in analytics, preferably in a product or customer behavior context
Proficiency in SQL and Python (pandas, NumPy); experience with Dash or visualization tools is a plus
Foundational knowledge of statistical concepts and experimentation
Experience working with data from digital products or user behavior tracking tools
Strong attention to detail, with the ability to translate data into actionable insights
Excellent communication and collaboration skills
Degree in a quantitative field (e.g., Statistics, Mathematics, Physics)
Technology Doesn't Change the World, People Do.®
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