**Description** We are seeking a Senior Data Analyst passionate about transforming large volumes of data into actionable insights that drive strategic business decisions. You will have autonomy to conduct complex exploratory analyses, develop robust models, and—crucially—communicate findings to leaders and cross-functional teams in a way that positively impacts business outcomes. You are expected not only to describe what happened (Descriptive Analysis) and predict what might happen (Predictive Analysis), but also to recommend the best actions to take (Prescriptive Analysis). **Responsibilities and Duties** Strategic Analysis and Insights: Conduct in-depth statistical analyses; generate high-value, impactful insights that directly address business questions and optimize performance. Business Communication: Translate complex technical results into clear, visual, action-oriented narratives for non-technical stakeholders and leadership—serving as the bridge between data and business decisions. Python Proficiency and Application: Use Python (Pandas, NumPy, Scikit-learn, etc.) for advanced analytics, data preprocessing, and developing automation scripts or analytical models. Business Acumen: Deeply understand the business context—including customer lifecycle, revenue drivers, and operational challenges—to ensure analyses are relevant and targeted. Modeling and Reporting: Develop, maintain, and enhance data models, reports, and strategic dashboards (using BI tools) to enable continuous monitoring of KPIs. **Requirements and Qualifications** Experience: Minimum of 3 years of proven experience as a Data Analyst or in a similar role, working autonomously (Senior level). Business Skills: Demonstrated ability to link data analysis to financial or operational impact, and to prioritize projects based on business return on investment (ROI). Python Proficiency: Practical knowledge and hands-on experience using Python for data analysis and generating critical insights through programmatic methods. Advanced SQL: Advanced proficiency in SQL for complex queries and manipulation of large datasets. BI Tools: Solid experience building strategic dashboards and reports using data visualization tools (e.g., Tableau, Power BI, Looker). Effective Communication: Excellent communication skills, with the ability to present insights clearly, concisely, and persuasively. Statistical Concepts: Strong understanding of descriptive and inferential statistics for conducting analyses and hypothesis testing (A/B testing).