DataGen Europe

#6 - HelloFresh: Building and scaling a Product Analytics culture

Mon, 16 Mar 2026 11:50:12 GMT

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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#5 - N26: Building and scaling the Data team for Marketing

Wed, 04 Feb 2026 09:40:36 GMT

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.

#4 - Ex-VP of Product at Looker, he launched Omni, the challenger in Business Intelligence

Wed, 21 Jan 2026 12:55:08 GMT

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.

#3 - Aircall: Adapting the Data Strategy to the slowing economic environment

Wed, 03 Dec 2025 09:03:12 GMT

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.

#2 - Deezer: How I restructured the Business Analytics team and made it more Business-Focused

Tue, 02 Dec 2025 09:02:30 GMT

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.

#1 - BlaBlaCar: Managing 50 Data People with Manu, VP Data

Mon, 01 Dec 2025 09:01:27 GMT

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.