Lead to Succeed: Strategies for Managing Analytical Teams

When:  Dec 8, 2023 from 08:00 to 17:00 (ET)
Associated with  MORS Community

Welcome to "Lead to Succeed: Strategies for Managing Analytical Teams", an immersive and interactive course designed for both emerging and established leaders. Throughout this course, we will dive deep into the unique challenges and opportunities that accompany the management of analytical teams. We will explore how to foster an environment that encourages critical thinking, innovation, and data-driven decision-making. The curriculum includes a blend of theory and practice, case studies from diverse sectors, real-life examples of successful leadership, and interactive group exercises to ensure the acquired knowledge is immediately applicable.


The primary objective of this course is to provide participants with the strategic and practical insights needed to guide high-performing analytical teams effectively. It is perfectly suited to professionals such as data scientists, business intelligence professionals, project managers, and anyone leading or aspiring to lead an analytical team.

  • Understanding the Dynamics of Analytical Teams: Gain insights into the characteristics of effective analytical teams and the role of leaders in shaping their performance.
  • Communication and Collaboration: Learn to bridge the communication gap between analytical teams and other departments, facilitating better collaboration and driving a unified business vision.
  • Motivation and Retention: Develop strategies to motivate your team, manage talent effectively, and reduce turnover.
  • Decision-making: Learn how to foster a culture of data-driven decision-making and harness your team's analytical skills to solve complex business problems.
  • Change Management: Discover how to navigate through technological and organizational changes, ensuring your team stays adaptable and resilient.
  • Ethical Considerations: Understand the ethical dimensions of managing data and analytical teams, focusing on issues such as data privacy and accuracy.