• Collaborate with cross-functional teams to identify and define data requirements for various projects.
• Collect, clean, and analyze large datasets to extract meaningful insights and support data-driven decision making.
• Develop and maintain data models, algorithms, and statistical models to uncover patterns and trends in data.
• Create visually appealing and easy-to-understand reports and dashboards to present findings to stakeholders.
• Continuously monitor data quality and accuracy, identifying and resolving any issues that may arise.
• Stay updated with industry trends and best practices in data analysis techniques and tools.
• Act as a trusted advisor, providing guidance and recommendations to improve business processes and outcomes based on data analysis.

• Strong analytical skills, with the ability to gather, organize, and interpret complex data sets.
• Proficient in using data visualization tools to present findings in a clear and concise manner.
• Excellent problem-solving abilities, with a keen eye for identifying patterns and trends within data.
• Strong attention to detail, ensuring accuracy and reliability in data analysis and reporting.
• Effective communication skills, both verbal and written, to collaborate with team members and present findings to stakeholders.
• Proficient in programming languages such as Python or R, with the ability to manipulate and analyze data efficiently.
• Adept at working with large datasets, utilizing statistical techniques to extract meaningful insights and drive informed decision-making.