DataGen Europe

Jonathan Palmer is the former VP of Data at Scopely, a US-based unicorn behind hit mobile games such as Monopoly GO!.He grew and led the data team at Scopely to 50 people, mostly based in Barcelona.Before that, Jon was Product Director for Core Data Services at King, the Swedish unicorn behind the hit game Candy Crush. He was also Head of BI at GoCardless, the British unicorn. And he is now field CTO at Omni, the BI & AI Analytics platform.We cover:🔥 Workstream #1: scaling the data organization from 10 to 50 people (main teams, organization…)🔥 Workstream #2: building a modern data stack to improve performance, simplify hiring, and support hypergrowth🔥 Workstream #3: evolving roles, developing leaders, and adapting the organization as the company scaled🔥 The biggest challenges: imposter syndrome, managing change, and cultural differences📚 RESOURCES- Jon’s Linkedin profile- The book What I Talk About When I Talk About Running by Haruki Murakami🎬 CHAPTERS00:00 What's Scopely?01:52 The context when he arrived02:41 Organizing the data team08:45 Building a Modern Data Stack13:44 Adapting the team to new needs15:37 Fighting the imposter syndrome16:57 Leading a big team20:23 Managing cultural differences23:15 Why he joined Omni25:00 Jon’s favorite resources26:13 His best advice🤩 OTHER EPISODES YOU SHOULD LOVE#8 - Marshmallow: Building the data analytics team at a unicorn#4 - Ex-VP of Product at Looker, he launched Omni, the challenger in Business Intelligence#1 - BlaBlaCar : Managing 50 Data People with Manu, VP Data🎙 SUPPORT THE PODCAST FOR FREE1/ Subscribe 🔔2/ Leave a 5 stars review on Apple Podcasts here 🥰 Hosted on Acast. See acast.com/privacy for more information.

Colin Zima is the co-founder and CEO of Omni, the Business Intelligence platform recently valued at over $1.5 billion. Before founding Omni, Colin was VP of Product and Chief Analytics Officer at Looker, the Business Intelligence platform acquired by Google for $2.6 billion.He shares his predictions on the future of analytics:🔥 Prediction #1: The dashboard is changing, not going away🔥 Prediction #2: There will always be a place for data teams🔥 Prediction #3: Natural language doesn't mean simple question and answer🔥 Prediction #4: AI will start writing more data models than people🔥 Prediction #5: Semantics matter more than ever❤️ SPONSORThis episode is made possible by Omni, the next-generation BI platform already used by many companies (Brevo, Photoroom, etc.).👉 Colin’s Linkedin Profile📚 RESOURCES- Colin’s Linkedin Profile🎬 CHAPTERS00:00 “The dashboard is changing, not going away”13:00 "There will always be a place for data teams"16:11 “Natural language doesn't mean simple question and answer”25:31 “AI will start writing more data models than people”27:38 “Semantics matter more than ever”28:17 SQL vs Semantic Layer35:37 The data team of the future🤩 OTHER EPISODES YOU SHOULD LOVE#4 - Ex-VP of Product at Looker, he launched Omni, the challenger in Business Intelligence#8 - Marshmallow: Building the data analytics team at a unicorn#96 - Deezer : How I restructured the Business Analytics team and made it more Business-Focused🎙 SUPPORT THE PODCAST FOR FREE1/ Subscribe 🔔2/ Leave a 5 stars review on Apple Podcasts here 🥰 Hosted on Acast. See acast.com/privacy for more information.

Tanmay Nagori is Head of Data & Analytics for Lending at Tide, the UK-based fintech unicorn. Tide helps SME businesses save time by providing banking, payment, administrative, and financial tools. Today, it is used by 1.8 million SMEs in the United Kingdom, India, Germany, and France.We cover :🔥 His journey from Analyst to Head of Analytics (Consulting, Amazon…)🔥 How the data team is organized globally and what stack they use🔥 The approach and tools they implemented to increase the business impact of analytics🔥 His view on how AI changes the role of the analytics team (from insights to actions)📚 RESOURCES- Tanmay’s LinkedIn Profile- The book "A Technique for Producing Ideas" by James Webb Young- The book "Thinking, Fast and Slow" by Daniel Kahneman🎬 CHAPTERS00:00 What's Tide?01:53 Tanmay’s journey05:39 Their main analytics projects08:19 Their stack10:50 His main challenges13:53 His career advice15:55 Resources he recommends🤩 OTHER EPISODES YOU SHOULD LOVE#8 - Marshmallow: Building the Data Analytics Team for a unicorn #6 - HelloFresh: Building and scaling a Product Analytics culture#2 - Deezer: How I restructured the Business Analytics team and made it more Business-Focused👋 MORE DATA CONTENT?1/ Follow me on LinkedIn here 🤳2/ Sign up for the newsletter (summaries, events) here 💌3/ Check out the podcast in video format on YouTube here 📹🎙 SUPPORT THE PODCAST FOR FREE1/ Subscribe 🔔2/ Leave a 5 stars review on Apple Podcasts here 🥰 Hosted on Acast. See acast.com/privacy for more information.

Ina Vaduvescu is director of analytics at Marshmallow, the UK-based unicorn that offers affordable car insurance for newcomers to the UK. The scaleup raised $90 million in 2025 at a $2 billion valuation. She leads a team of 12 analysts and has spent the past few years building and structuring the analytics function.We cover :🔥 Her journey, from data analyst to director across startups and scale-ups🔥 How she structured a high-performing and standardized data team🔥 The KPI tree framework that was transformative to how they operate🔥 Their AI projects: AI analytics and customer support AI agent📚 RESOURCES- Ina’s LinkedIn profile- The newsletter TLDR- Lenny's Podcast🎬 CHAPTERS00:00 What's Marshmallow ?00:39 Ina's journey02:48 #1 - recruitment & stack10:23 #2 - better prioritization15:34 #3 - self-service & AI analytics21:55 #4 - AI project for customer support27:06 Their main challenges28:05 Their next steps30:04 The resources she recommends30:41 Her career advice🤩 OTHER EPISODES YOU SHOULD LOVE#7 - Flix: Leveraging data to scale operations #5 - N26: Building and scaling the Data team for Marketing#2 - Deezer: How I restructured the Business Analytics team and made it more Business-Focused🎙 SUPPORT THE PODCAST FOR FREE1/ Subscribe 🔔2/ Leave a 5 stars review on Apple Podcasts here 🥰 Hosted on Acast. See acast.com/privacy for more information.

Manoj Raghavan is a Staff Data Strategist at Flix, the affordable travel tech scaleup based in Germany, solving technology for long-distance buses and trains. Flix operates in 40+ countries, has 5,000 employees, including around 100 data & AI experts.We cover :🔥 Their data organisation: decentralized and with no central data leadership🔥 One of the main projects he worked on to improve customer experience: bus partner classification🔥 Their stack: AWS, Snowflake, dbt, Power BI…🔥 One of their main current challenges: build vs. buy when it comes to AI tools📚 RESOURCES- Manoj’s LinkedIn profile- The book of book Chip Huyen Designing Machine Learning Systems- The book of book Chip Huyen AI Engineering🎬 CHAPTERS00:00 What is Flix?02:38 Manoj's journey06:28 The Data team organization10:43 One of his main projects16:35 Their stack19:02 Their main challenges21:17 Their next step23:40 Resources he recommends24:42 His career advice🤩 OTHER EPISODES YOU SHOULD LOVE#6 - HelloFresh: Building and scaling a Product Analytics culture#5 - N26: Building and scaling the Data team for Marketing#1 - BlaBlaCar : Managing 50 Data People with Manu, VP Data🎙 SUPPORT THE PODCAST FOR FREE1/ Subscribe 🔔2/ Leave a 5 stars review on Apple Podcasts here 🥰 Hosted on Acast. See acast.com/privacy for more information.