<p><strong>Analytical</strong></p><ul><li>Conduct exploratory analyses to uncover player trends, engagement patterns, and friction points</li><li>Translate findings into clear insights to support product development and UX initiatives</li></ul><p><strong>Statistical Analysis</strong></p><ul><li>Apply core statistical techniques such as:</li><li>Hypothesis testing</li><li>Regression analysis</li><li>Clustering or segmentation logic</li><li>Support forecasting and behavioral modeling with guidance from senior analysts</li></ul><p><strong>Experimentation & A/B Testing</strong></p><ul><li>Assist in the setup, monitoring, and analysis of A/B tests and product experiments</li><li>Contribute to test design and metric definition in collaboration with product managers</li><li>Summarize results and support interpretation of causal impacts with guidance from senior analysts</li></ul><p><strong>Data Visualization & Communication</strong></p><ul><li>Build and maintain dashboards using tools like Dash, Streamlite or Power BI</li><li>Present insights in recurring team syncs or product planning sessions</li><li>Document analysis and findings in a clear, stakeholder-friendly format</li></ul><p> </p><p> </p><p><br></p><p> </p><p> </p><p><br></p>

<p><strong>Qualifications & Requirements</strong></p><ul><li>1+ years of experience in analytics, preferably in a product or customer behavior context</li><li>Proficiency in SQL and Python (pandas, NumPy); experience with Dash or visualization tools is a plus</li><li>Foundational knowledge of statistical concepts and experimentation</li><li>Experience working with data from digital products or user behavior tracking tools</li><li>Strong attention to detail, with the ability to translate data into actionable insights</li><li>Excellent communication and collaboration skills</li><li>Degree in a quantitative field (e.g., Statistics, Mathematics, Physics)</li></ul><p> </p>

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