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

🎬 CHAPTERS

00:00 What's Scopely?

01:52 The context when he arrived

02:41 Organizing the data team

08:45 Building a Modern Data Stack

13:44 Adapting the team to new needs

15:37 Fighting the imposter syndrome

16:57 Leading a big team

20:23 Managing cultural differences

23:15 Why he joined Omni

25:00 Jon’s favorite resources

26:13 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

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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

❤️ SPONSOR

This 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

🎬 CHAPTERS

00:00 “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 Layer

35:37 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

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1/ 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

🎬 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 🔔

2/ Leave a 5 stars review on Apple Podcasts here 🥰

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