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 analyticsThe difference between good and great leadership in data scienceThe importance of storytelling and communication skills for data professionalsHow to build and lead large, high-performing data teamsThe evolving landscape of data science and the need for continuous learningWhy many companies struggle with data readiness before launching AI initiativesCommon misconceptions about data readiness and the role of the C-suitePractical steps for organisations to become truly data-readyThe impact of organisational culture, skills gaps, and leadership on data successReal-world examples of career setbacks and adaptability in the data industry00:00 Introduction and Early Career01:37 Welcome to Data Analytics Chat02:22 Nipa Basu's Career Journey03:23 Leadership in Data Science05:20 Navigating to the C-Suite00:00 Transitioning Between Roles21:30 Building and Leading Teams27:07 Challenges in Data Readiness41:48 Practical Steps for Data Readiness45:00 Conclusion and Final ThoughtsThank you for listening!

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