Responsibilities:

• Collect, analyze, and interpret large sets of data to identify trends, patterns, and insights relevant to strategic decision-making.

• Develop and implement statistical models and algorithms to analyze data and tackle business problems.

• Effectively communicate findings and insights derived from data analysis to partners using clear, concise visualizations and reports.

• Collaborate with interdisciplinary teams to find opportunities for improvement, develop innovative solutions, and implement data-driven strategies.

Skills:

• Proficiency in programming languages such as Python, R, or SQL for data manipulation and analysis.

• Knowledge of statistics, statistical modeling, and data analysis techniques.

• Experience using data visualization tools such as Tableau or Power BI to build interactive visualizations and actionable insights.

• Ability to work with large volumes of data and use data mining, machine learning, and artificial intelligence techniques to extract relevant information.

Qualifications:

• Confirmed experience in data analysis, statistical modeling, and machine learning. • Strong analytical and problem-solving skills with a keen attention to detail.

• Excellent communication and presentation skills, with the ability to optimally convey sophisticated concepts to both technical and non-technical partners.

• Ability to work independently and collaboratively in a fast-paced, team-oriented environment.