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

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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

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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 🥰

Hosted on Acast. See acast.com/privacy for more information.