In this episode of Data Analytics Chat, host Ben Parker interviews Nipa Basu, a seasoned data analytics executive. Nipa shares her captivating career journey from pursuing a PhD in economics in India to becoming a Chief Data Officer in the United States. They discuss pivotal moments that shaped her career, the evolution of data science, and what distinguishes good leaders from great ones in the tech industry. They also delve into why many firms struggle with data readiness and the importance of balancing technical expertise with soft skills. 

In this episode, you will learn:

• Nipa Basu’s career journey from technical contributor to C-suite executive in data analytics
• The difference between good and great leadership in data science
• The importance of storytelling and communication skills for data professionals
• How to build and lead large, high-performing data teams
• The evolving landscape of data science and the need for continuous learning
• Why many companies struggle with data readiness before launching AI initiatives
• Common misconceptions about data readiness and the role of the C-suite
• Practical steps for organisations to become truly data-ready
• The impact of organisational culture, skills gaps, and leadership on data success
• Real-world examples of career setbacks and adaptability in the data industry

00:00 Introduction and Early Career

01:37 Welcome to Data Analytics Chat

02:22 Nipa Basu's Career Journey

03:23 Leadership in Data Science

05:20 Navigating to the C-Suite

00:00 Transitioning Between Roles

21:30 Building and Leading Teams

27:07 Challenges in Data Readiness

41:48 Practical Steps for Data Readiness

45:00 Conclusion and Final Thoughts

Thank you for listening!