Kunal Das
About Kunal Das
Kunal Das serves as the SVP and Chief Data & Analytics Officer at Advance Auto Parts, where he leads a team of over 400 professionals in data science and analytics. He has held various positions in analytics at companies such as Lowe's and Target, contributing to a culture of data-driven decision-making.
Current Role at Advance Auto Parts
Kunal Das serves as the Senior Vice President and Chief Data & Analytics Officer at Advance Auto Parts, a position he has held since 2023. In this role, he is responsible for leading data initiatives and analytics strategies to enhance business performance. He works on-site in Raleigh, North Carolina, where he oversees a team dedicated to leveraging data for informed decision-making.
Previous Experience at Lowe's Companies, Inc.
Kunal Das has extensive experience at Lowe's Companies, Inc., where he held multiple roles. He served as the Director of Analytics from 2018 to 2020, followed by a position as Senior Director of Data Science from 2020 to 2022. Most recently, he was the Vice President of Data Products and Analytics from 2022 to 2023. His work involved managing analytics teams and developing data-driven strategies to support business objectives.
Career Background at Target and Hewitt Associates
Before his tenure at Lowe's, Kunal Das worked at Target as Manager of Analytics from 2008 to 2015. His role involved analyzing data to drive business decisions. Additionally, he was a Project Manager at Hewitt Associates from 2006 to 2008, where he managed projects related to data analytics and strategy.
Education and Expertise in Statistics
Kunal Das holds a Master of Science in Statistics from Delhi University. His educational background provides a strong foundation for his work in data science and analytics. He focuses on fostering a culture of data-driven decision-making within organizations, emphasizing the importance of trusted data and actionable insights.
Leadership in Data Science and Analytics
In his current role and previous positions, Kunal Das leads a team of over 400 professionals in data science, data engineering, and product management. He emphasizes the significance of data-driven insights and recommendations, aiming to enhance organizational effectiveness and strategic decision-making.