

034 - Beyond the pipeline - Tracking the true impact of Analytics Engineering
๐๐๐ฒ๐จ๐ง๐ ๐ญ๐ก๐ ๐๐ข๐ฉ๐๐ฅ๐ข๐ง๐ โ ๐๐ซ๐๐๐ค๐ข๐ง๐ ๐ญ๐ก๐ ๐๐ซ๐ฎ๐ ๐๐ฆ๐ฉ๐๐๐ญ ๐จ๐ ๐๐ง๐๐ฅ๐ฒ๐ญ๐ข๐๐ฌ ๐๐ง๐ ๐ข๐ง๐๐๐ซ๐ข๐ง๐
Analytics Engineering has become one of the most in-demand roles for modern data teams in recent years.
The role goes far beyond just building clean data pipelines and data models, but how do we actually measure that impact?
In todayโs episode of the Stacked Data Podcast, we're joined by Ross Helenius, Director of Analytics Engineering & AI Transformation Engineering at Mimecast, to unpack one of the most important (and overlooked) questions in data:
๐ What does success look like for Analytics Engineering: beyond the technical?
๐ฬฒ๐ฬฒโฬฒ๐ฬฒ๐กฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ:ฬฒ
โ The true role of Analytics Engineering in modern data teams
โ Why measuring ROI is so hard and how you can do this
โ How to define and track impact beyond pipelines, models, and dashboards
โ Practical KPIs and strategies to showcase business value
โ Pitfalls to avoid when proving the value of your data function
Ross brings deep experience from the intersection of data, engineering, and AI, and offers actionable insights for data leaders and practitioners alike.
Whether you're leading a data team, building one, or looking to become a better AE this episode is packed with value.