Avsnitt
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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
🎬 CHAPTERS
00:00 What's Tide?
01:53 Tanmay’s journey
05:39 Their main analytics projects
08:19 Their stack
10:50 His main challenges
13:53 His career advice
15:55 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 📹
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1/ Subscribe 🔔
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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
🎬 CHAPTERS
00:00 What's Marshmallow ?
00:39 Ina's journey
02:48 #1 - recruitment & stack
10:23 #2 - better prioritization
15:34 #3 - self-service & AI analytics
21:55 #4 - AI project for customer support
27:06 Their main challenges
28:05 Their next steps
30:04 The resources she recommends
30:41 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 FREE
1/ Subscribe 🔔
2/ Leave a 5 stars review on Apple Podcasts here 🥰
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Saknas det avsnitt?
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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
🎬 CHAPTERS
00:00 What is Flix?
02:38 Manoj's journey
06:28 The Data team organization
10:43 One of his main projects
16:35 Their stack
19:02 Their main challenges
21:17 Their next step
23:40 Resources he recommends
24:42 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 FREE
1/ Subscribe 🔔
2/ Leave a 5 stars review on Apple Podcasts here 🥰
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Florian Bonnet is a former Director of Product at HelloFresh. He later held product leadership roles in scale-ups such as Typeform and Fintechture. He is currently VP of Product Management at Veriff, the Estonian unicorn.
We cover :
🔥 #1 - How to define the metrics (North Star, KPI Tree…)
🔥 #2 - How to manage product performance with data on a weekly basis
🔥 #3 - How to implement the right collaboration between Product & Data
🔥 His 2 main challenges and his views on GenAI for Product Analytics
📚 RESOURCES
- Florian’s LinkedIn profile
- His book The Power of Analytics
- Matt Watkinson's book The Grid
🎬 CHAPTERS
00:00 What is HelloFresh?
01:32 Florian’s journey from Data Analyst to Director of Product
03:16 The context at HelloFresh when he became Director of Product
05:49 #1 - How to define the metrics (North Star, KPI Tree…)
08:30 #2 - How to manage product performance with data on a weekly basis
12:17 #3 - How to implement the right collaboration between Product & Data
15:38 His main challenges
18:53 The tech stack he recommends
21:04 The impact of GenAI on Product Analytics
25:48 Florian’s favorite resources
28:14 His best advice
🤩 OTHER EPISODES YOU SHOULD LOVE
#5 - N26: Building and scaling the Data team for Marketing
#4 - Ex-VP of Product at Looker, he launched Omni, the challenger in Business Intelligence
#2 - Deezer : How I restructured the Business Analytics team and made it more Business-Focused
🎙 SUPPORT THE PODCAST FOR FREE
1/ Subscribe 🔔
2/ Leave a 5 stars review on Apple Podcasts here 🥰
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Mathias is Head of Data for Marketing at N26, the Berlin-based neobank valued at over $9 billion. He joined as a Senior Data Analyst in May 2020 and has since scaled the team to 12 people.
We address :
🔥 His journey to becoming Head of Data for Marketing at N26
🔥 His main projects: Marketing Mix Modeling, User Value Modeling, Data Governance & Data Quality
🔥 The data stack at N26: AWS, Snowplow, dbt, Redshift, Metabase…
🔥 His main challenges: scale-up volatility and the classic imposter syndrome
📚 RESOURCES
- Mathias’s LinkedIn profile
- The book of Zhamak Dehghani Data Mesh : Delivering Data-Driven Value at Scale
- The book of Joe Reis & Matt Housley Fundamentals of Data Engineering: Plan and Build Robust Data
- The book of Gene Kim, Kevin Behr and George Spafford The Phoenix Project
- The book of Gene Kim The DevOps Handbook
- The book of Gene Kim The Unicorn Project
- The book of Gene Kim, Jez Humble and Nicole Forsgren PhD Accelerate
🎬 CHAPTERS
00:00 Introduction to N26
03:25 How he became Head of Data for Marketing at N26
10:49 1st project: implementing a Marketing Mix Model
17:36 2nd project: building a User Value Model
20:57 3rd project: Data Governance & Quality
23:37 The data stack at N26
25:16 The biggest challenges
29:29 What’s next: decision automation
31:11 Mathias’s favorite resources
32:14 Why he loves working in data
🤩 OTHER EPISODES YOU SHOULD LOVE
#1 - BlaBlaCar : Managing 50 Data People with Manu, VP Data
#2 - Deezer : How I restructured the Business Analytics team and made it more Business-Focused
#3 - Aircall: Adapting the Data Strategy to the slowing economic environment
🎙 SUPPORT THE PODCAST FOR FREE
1/ Subscribe 🔔
2/ Leave a 5 stars review on Apple Podcasts here 🥰
Hosted on Acast. See acast.com/privacy for more information.
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Colin is the co-founder & CEO of Omni, the Business Intelligence tool that has seen rapid adoption over the past years. By 2025, Omni had raised $69 million and reached a valuation of $650 million. Many data leaders are now choosing to abandon their traditional BI tools in favor of Omni.
We address :
🔥 Why Colin left his role as VP of Product at Looker to build a new BI tool
🔥 The Omni vision: reconciling enterprise BI governance with the flexibity of Excel and SQL
🔥 AI for Analysis (”chat with your data”): what Omni did differently in its Semantic Layer to make it work
🔥 The future of Data teams when anyone can do complex analyses in minutes
❤️ SPONSOR
This episode is made possible by Omni, the next-generation BI platform already used by many companies (Brevo, Photoroom, etc.).
👉 Discover the demos
📚 RESOURCES
- Colin's LinkedIn
- Jason Lemkin’s SaaStr blog
- Dave Kellog’s Kellblog blog
- Demos on the Omni website (Build in Public)
🎬 CHAPTERS
00:00 Colin’s career path
01:37 Omni’s initial vision
05:07 From Looker to Omni
09:42 Why data leaders choose Omni
15:53 AI for Analysis (”Chat with your data”): what Omni did differently in its Semantic Layer to make it work
20:12 “Building in public” at Omni
24:36 The evolution of data teams
30:58 The specifics of the French market
32:30 Colin’s resource recommendations
33:13 What he likes most about data
🧐 OTHER EPISODES
#1 - BlaBlaCar : Managing 50 Data People with Manu, VP Data
#2 - Deezer : How I restructured the Business Analytics team and made it more Business-Focused
#3 - Aircall: Adapting the Data Strategy to the slowing economic environment
🎙 SUPPORT THE PODCAST FOR FREE
1/ Subscribe 🔔
2/ Leave a 5 stars review on Apple Podcasts here 🥰
Hosted on Acast. See acast.com/privacy for more information.
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Edouard Flouriot is Director of Data at Aircall, the phone and communication platform designed for sales and support teams. Active in more than 100 countries with more than 10,000 customers, Aircall achieved centaur status after securing over $100 million in annual recurring revenue in 2022. In this episode, Edouard is sharing insights on its biggest recent challenge, which is: how to adapt the data strategy to the slowing economic environment?
We address:
🔥 The overall economic context for scaleups: going from hyperscale to a slower controlled growth
🔥 His conviction that this context requires more centralisation rather than decentralisation (aka Data Mesh)
🔥 How centralisation enables more governance and control over costs and ressource management
🔥 The initiatives that they launched around 3 pillars: cost tracking, project structure and culture shift.
🎬 CHAPTERS
00:00 Trailer
00:43 Introduction
01:41 The context
04:33 The 3 key implemented actions
05:02 1st action: shifting the culture towards more control and governance
07:38 2nd action: being more budget conscious by optimizing current tools & migrating to new ones
10:47 Focus on Fivetran & Looker
13:30 3rd action: identifying where to invest the efforts to better structure projects
18:01 The other challenges Edouard faced
20:00 Edouard’s ressource recommendations
21:07 What he likes most about data
21:51 What made him improve the most
22:47 The best advice Edouard ever received
📚 RESSOURCES
- The book Trillion Dollar Coach
- The article “The Next Era of Data at Instacart” by Nate Kupp
🧐 OTHER EPISODES
#1 - BlaBlaCar : Managing 50 Data People with Manu, VP Data
#2 - Deezer : How I restructured the Business Analytics team and made it more Business-Focused
🎙 SUPPORT THE PODCAST FOR FREE
1/ Subscribe 🔔
2/ Leave a 5 stars review on Apple Podcasts here 🥰
Hosted on Acast. See acast.com/privacy for more information.
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Thibaud Arbes Dupuy is Director of Operational Performance at Deezer, the French music streaming unicorn with 9 figures in revenue and +600 employees. Two years ago, in an urge to become more profitable, the CEO asked him to took over the Data Analytics team to make it business-focused. A challenge he took up successfully through a multi-dimensional strategy.
We address :
🔥 His career path to become Director of Operational Performance at Deezer,
🔥 The 4 pillars of his strategy: bring business focus, reorganize the team, retain talents and recruit the best,
🔥 His biggest difficulty: being patient and asking the other teams to be patient too,
🔥 His main advice when it comes to managing a team without any prior data experience.
🎬 CHAPTERS
00:00 Trailer
01:14 Introduction
02:11 His career from Finance to Director of Operational Performance at Deezer
07:14 Thibaud’s 1st strategy pillar: bring business focus in his team
10:49 Thibaud’s 2nd strategy pillar: organize the Business Analytics team
15:12 Thibaud’s 3rd strategy pillar: retain talents
20:27 Thibault's 4th strategy pillar: recruit the best
25:47 His biggest challenges: being patient and asking other teams to be patient too
27:16 His advice to manage a Data team with no data experience
28:09 The next steps of the Business Analytics team
29:24 Thibaud’s ressource recommandations
29:50 What he like most about data
30:36 What made him progress the most
31:53 The best advice Thibaud ever received
📚 RESSOURCE
DoorDash tech blog
🧐 OTHER EPISODES
#1 - BlaBlaCar : Managing 50 Data People with Manu, VP Data
#3 - Aircall: Adapting the Data Strategy to the slowing economic environment
🎙 SUPPORT THE PODCAST FOR FREE
1/ Subscribe 🔔
2/ Leave a 5 stars review on Apple Podcasts here 🥰
Hosted on Acast. See acast.com/privacy for more information.
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Emmanuel Martin-Chave is VP Data at BlaBlaCar, the French unicorn who offers several mobility services. I had already welcomed him on the podcast to know more about their data strategy in the episode #13. This time, we talk about management.
We address :
🔥 What the Data department looks like today
🔥 How to introduce “Middle Managers” (Manu prefers “Front Line Managers”)
🔥 How to create a great path for Individual Contributors
🔥 Why it’s crucial to anticipate recruitments 3 years in advance when you’re 50 in the team.
🎬 CHAPTERS
00:00 Trailer
01:45 Intro
02:35 What the Data department looks like
03:38 Why and how to introduce middle managers?
07:51 The importance of having a mix between Individual Contributors (IC) & Managers
10:29 The current mix between IC & Managers at BlaBlaCar
13:22 The challenges associated with this organization
17:11 How to create a great path for IC
22:26 Why it’s crucial to anticipate recruitments 3 years in advance when you’re 50 in the team
25:13 His main challenges in terms of management
29:18 The next steps of the Data team
30:34 Last questions (ressources, tips…)
📚 RESSOURCE
An Elegant Puzzle by Will Larson
🧐 OTHER EPISODES
#2 - Deezer : How I restructured the Business Analytics team and made it more Business-Focused
#3 - Aircall: Adapting the Data Strategy to the slowing economic environment
🎙 SUPPORT THE PODCAST FOR FREE
1/ Subscribe 🔔
2/ Leave a 5 stars review on Apple Podcasts here 🥰
Hosted on Acast. See acast.com/privacy for more information.
