The role and practice of data analysts and data analytics in corporate decision-making changed significantly as new business intelligence and data management tools came to market. As this transformation occurred new roles – like the data engineer and the data scientist – emerged. In this blog post, Sid Sharma discusses the differences between data analysts – who spend time surfacing insights by analyzing wide datasets – and data scientists – who focus on more specific problems and highly technical modeling. He discusses how existing BI tools limit data analysts’ abilities to explore data and unpack trends and/or anomalies, and explores how advances in proactive analytics and cloud data management could enable data analysts to solve more complex problems.