Stacked Data Podcast

𝐁𝐞𝐲𝐨𝐧𝐝 𝐭𝐡𝐞 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 – 𝐓𝐫𝐚𝐜𝐤𝐢𝐧𝐠 𝐭𝐡𝐞 𝐓𝐫𝐮𝐞 𝐈𝐦𝐩𝐚𝐜𝐭 𝐨𝐟 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠Analytics 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 today’s 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:👉 What does success look like for Analytics Engineering: beyond the technical?𝚆̲𝚎̲ ̲𝚎̲𝚡̲𝚙̲𝚕̲𝚘̲𝚛̲𝚎̲:̲✅ The true role of Analytics Engineering in modern data teams✅ Why measuring ROI is so hard and how  you can do this✅ How to define and track impact beyond pipelines, models, and dashboards✅ Practical KPIs and strategies to showcase business value✅ Pitfalls to avoid when proving the value of your data functionRoss 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.

Digestible. Defensible. Actionable.What does it really take to drive impact with data?Too often, analysts are left wondering:“Why didn’t anyone do anything with that insight?”This week on the Stacked Data Podcast, I’m joined by Sam Marks, Director of Analytics & Business Strategy at the Boston Bruins, to explore the gap between finding insights and driving action — and how to close it.Sam shares the Digestible, Defensible, Actionable framework he uses to turn analysis into outcomes, covering:✅ What makes an insight digestible (and where analysts go wrong)✅ How to make your work defensible and credible✅ What separates an interesting insight from an actionable one✅ How to overcome inaction from stakeholders✅ Real-world examples of the framework in actionThis one’s packed with tactical advice for any data professional tired of their work getting stuck in slide decks.

Building High-Value Data Teams and the Future of BI with Oliver Hughes, CEO of CountIn this episode of the Stacked Data Podcast, we're joined by Oliver Hughes, CEO of Count — a business intelligence platform reinventing how teams collaborate through a flexible, canvas-style interface.Together, we explore: The key principles that make data teams truly impactful Why operational clarity, effective problem-solving, and reducing time to value are so critical How Count's unique approach is transforming data collaboration beyond traditional dashboards The future of BI and how data teams can stay ahead in a fast-evolving landscapeWhether you're leading a data team, building one, or looking for smarter ways to drive insights, this episode is packed with valuable lessons.Tune in and discover a smarter, more collaborative future for data!

In this episode of the Stacked Data Podcast, we're joined by Zach from Advancing Analytics to dive deep into the world of modern data platforms.Zach walks us through his career in data and his current role at one of the UK's leading data consultancies. We explore what a modern data platform really is, why companies are investing in them, and what it takes to build one that’s scalable, reliable, and genuinely useful to the business.From core stages and common pitfalls to ensuring business alignment and future-proofing, Zach shares the lessons he's learned delivering platforms for a wide range of clients. We also zoom out to talk about what it’s like working in data consulting—what skills matter, what a typical day looks like, and what makes someone successful at Advancing Analytics.If you're interested in data architecture, consulting, or just want to understand what "modern" really means when it comes to data platforms—this one’s for you.

In this episode of Stacked Data Podcast, I’m joined by Manou, Head of Data & X at Medik8, to dive into the unique challenges of leading a small data team—and more importantly, how to overcome them.✅ How do you prioritize when resources are tight?✅ How can small data teams drive real business impact?✅ What strategies help in building a strong team culture?Manou shares practical strategies on ensuring data teams stay focused on high-value projects, align with business goals, and maximize their potential—even with limited resources.If you’re leading (or part of) a small data team, this one’s for you.

🚀 𝐖𝐡𝐲 𝐭𝐡𝐞 𝐒𝐞𝐦𝐚𝐧𝐭𝐢𝐜 𝐋𝐚𝐲𝐞𝐫 𝐢𝐬 𝐭𝐡𝐞 𝐌𝐢𝐬𝐬𝐢𝐧𝐠 𝐏𝐢𝐞𝐜𝐞 𝐢𝐧 𝐃𝐚𝐭𝐚 & 𝐀𝐈 🎙️ Data teams are investing more than ever in AI and analytics, yet many still struggle to make their data truly accessible, consistent, and reliable. One major reason? The semantic layer. Without a curated Semantic Layer, self-serve AI is a pipedream! In the latest episode of the Stacked Data Podcast, I sit down with Sarah Levy, CEO of Euno, to unpack why the semantic layer is often overlooked—and why it’s so crucial for businesses looking to scale AI and analytics effectively. 𝕎𝕖 𝕕𝕚𝕧𝕖 𝕚𝕟𝕥𝕠: 🔹Why so many companies struggle with data consistency and accessibility 🔹What a semantic layer actually is and why it’s a game-changer 🔹How it bridges the gap between raw data and real business impact 🔹The challenges of adoption & why many data teams still don’t have one 🔹How Euno is tackling this problem head-on If you’re working in data and your organisation is pushing for AI, this is a must-listen.

In this engaging discussion, Matt Raninski, Head of Data at Paired, shares his expertise in product analytics and event tracking. He dives into what makes event tracking essential for understanding user behavior and driving product success. Matt offers tips on prioritizing the right data to track, avoiding the pitfalls of over-tracking, and the importance of thorough documentation. He also emphasizes effective communication with non-technical teams and practical strategies for setting up event tracking in mobile apps, making data actionable for growth.

In today's fast-moving, data-driven world, embedding analytics from the start... rather than as an afterthought, is becoming essential. But what does it really mean to design analytics into the DNA of a business process?Have you ever had a stakholder launch a new product and then come to see you as a data team to see how its performing and what the key metrics are? I bet you have, Analytics by design is the process of ensuring data team is at the table from day one to drive the best practices and understand the right metricsIn the latest episode of the Stacked Data Podcast, I sit down with @Barbora Spacilova, Product Data & Insight Manager at @NMI, to dive into Analytics by Design—why it matters, how to implement it, and the challenges that come with it.🔥 𝚆̲𝚎̲ ̲𝚌̲𝚘̲𝚟̲𝚎̲𝚛̲:̲✅ Why ‘Analytics by Design’ is a game-changer for modern businesses✅ How to align data strategy with business goals from day one✅ Real-world examples of companies doing this right✅ The biggest pitfalls to avoid & how to measure successIf you're in data, product, or analytics, this one's for you! 🎧

We’re back, and we’re kicking off with a BANG! 💥Monzo is home to one of the most respected data teams in the UK—true trailblazers in Analytics Engineering, regularly sharing insights into how they scale data. This episode is no different!I had the pleasure of sitting down with John Azzopardi, Senior Analytics Engineering Manager at Monzo, who’s been with the company for over 6 years. We dive deep into how Monzo’s data team scaled from 20 to over 170 people and how Analytics Engineering plays a crucial role in supporting their hyper-growth.In this episode, we cover: ✅The evolution of the Analytics Engineering function at Monzo ✅How the team is structured for success and their key responsibilities ✅Challenges of scaling Monzo’s data warehouse and infrastructure ✅Why incremental modeling is a cornerstone of their data strategy ✅The future of Analytics Engineering in fintech and what’s next for MonzoIf you’re looking to learn from one of the UK’s top data teams, this episode is a must-listen! 🎧✨ Hear firsthand how Monzo is mastering data at scale and driving innovation in their infrastructure.We’re dropping new episodes every other week, so make sure to FOLLOW & SHARE to stay in the loop!#Podcast #Fintech #AnalyticsEngineering #DataEngineering #Monzo #Data #Innovation #DataInfrastructure #Scaling #IncrementalModeling #TechLeadership #ModernData

The Rise of the Data Product Manager…How often have you joined a data team where data is poorly understood by the business, siloed, and churning out tickets with little impact? Or found that the Analytics team doesn’t communicate with Data Engineering, leading to project delays due to missing data?These common challenges underscore the need for a new role that’s gaining traction: the Data Product Manager. This week on The Stacked Data, I'm joined by Karen Francis, a Data Product Manager at B&Q, and Rianna Kelly a Head of Data at Zeps.Karen and Rianna have firsthand experience with these issues and many more. They’ve seen how powerful and transformative the role of a Data Product Manager can be. In this episode, they share insightful stories and discuss why this role is crucial for high-performing modern data teams.We discuss: The responsibilities of a Data Product Manager The typical challenges they overcome How Data Product Managers drive value and efficiency Case  Studies and Success Stories Why more data teams need to  adopt this roleTune in to gain valuable insights and understand why the Data Product Manager is essential for any data-driven organization.