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

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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 🥰

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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.