• Understand detailed usage of Docker products by analyzing user behavior data, translating complex questions into analytical plans, and building robust product metrics. • Run and measure product experiments (A/B tests) from design through interpretation, clearly articulating results and recommendations to stakeholders. • Develop and maintain key performance indicators (KPIs) and operational metrics for product features and overall business health. • Provide actionable insights for Product Managers on user engagement, feature adoption, and growth opportunities to directly inform the product roadmap. • Build deep dive reports for Executive Leaders on critical business trends and the performance of strategic initiatives, presenting findings in a clear, compelling narrative. • Collaborate with engineering teams on data logging, instrumentation, and ensuring the accuracy of product data pipelines. • Apply statistical modeling and machine learning techniques to solve business problems (e.g., churn prediction, segmentation, propensity modeling). • Design and implement data visualizations and self-service dashboards to democratize data access across the organization. • Ensure data quality and integrity for all analytical outputs and reports. • Partner with cross-functional teams (Product, Engineering, Marketing, Sales) to define data requirements and analytical objectives. • Mentor junior analysts on best practices for data visualization, statistical analysis, and clear communication of results.