This chapter explores the emerging role of analytics engineers in the analytics landscape, emphasizing their unique position between business needs and data engineering. With insights from an experienced guest, the discussion highlights the evolution of job roles and the adoption of tools that streamline analytics workflows. The hosts clarify the distinctions between data engineers and analytics engineers, showcasing how the latter brings a proactive mindset and innovative solutions to enhance data-driven decision-making.
We're seeing the title "Analytics Engineer" continue to rise, and it’s in large part due to individuals realizing that there's a name for the type of work they've found themselves doing more and more. In today's landscape, there's truly a need for someone with some Data Engineering chops with an eye towards business use cases. We were fortunate to have the one of the co-authors of The Fundamentals of Analytics Engineering, Dumky de Wilde, join us to discuss the ins and outs of this popular role! Listen in to hear more about the skills and responsibilities of this role, some fun analogies to help explain to your grandma what AE's do, and even tips for individuals in this role for how they can communicate the value and impact of their work to senior leadership! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.