About:As a Data Analyst, you will play a pivotal role in analyzing, interpreting, and visualizing data to provide actionable insights to various teams within the organization. You will work closely with stakeholders to understand their analytical needs, develop effective data solutions, and contribute to data-driven decision-making processes. Roles &amp; Responsibilities: <ul><li>Collaborate with cross-functional teams to gather, clean, and prepare data from various sources for analysis.</li><li>Perform exploratory data analysis to identify trends, patterns, and correlations within datasets.</li><li>Develop and maintain dashboards, reports, and visualizations to communicate insights effectively to stakeholders.</li><li>Assist in designing and executing experiments or A/B tests to support product optimization and business strategies.</li><li>Utilize statistical techniques to analyze and interpret data, including hypothesis testing and regression analysis.</li><li>Identify opportunities for process improvement and provide recommendations based on data-driven insights.</li><li>Collaborate with Data Engineers to ensure data accuracy, consistency, and availability for analysis.</li><li>Stay informed about industry trends and best practices in data analysis and visualization.</li></ul> Qualifications:<ul><li>Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or related discipline.</li><li>Minimum of 1 year of professional experience as a Data Analyst or in a related role.</li><li>Proficiency in data analysis tools such as Python, R, or SQL for data manipulation and analysis.</li><li>Experience with data visualization tools (e.g., Tableau, Power BI) to create informative and engaging dashboards.</li><li>Solid understanding of statistical concepts and methods for data analysis.</li><li>Familiarity with A/B testing and experimental design.</li><li>Strong problem-solving skills and attention to detail.</li><li>Effective communication skills to present findings and insights to both technical and non-technical stakeholders.</li><li>Ability to work collaboratively in a fast-paced, dynamic environment.</li><li>Knowledge of programming languages and tools for data analysis (e.g., Pandas, NumPy) is a plus.</li></ul>