Przyszłość dla Data Analyst 👉 3 ścieżki
🟨 Analyst Community: https://kajodata.com/space/ 🟦 Courses - Excel, Power Query, SQL, PowerBI, Python, Tableau: https://kajodata.com/kursy/ 🟥 Sign up for the newsletter and get FREE BONUSES: https://kajodata.com/newsletter/ 📈 In data analysis, it's easy to get caught up in the "what's next?" moment. I've been through this myself, and I see that many people assume there's only one path: junior, mid-career, senior... and that's it. In this episode, I show you that you actually have several completely different career paths, which may be much more interesting for you and better suited to who you are and what drives you. 00:00 Introduction: What's next after data analysis? 00:24 Track 1: Manager – for whom and why 01:30 What is the role of a manager really like? 02:00 Salary and development towards leadership 02:35 Disadvantages: less technology, more management 03:30 Satisfaction from working with people 04:48 Track 2: Data science – what is it all about 05:12 Entering data science: difficulty and requirements 05:36 What does a data scientist do in practice? 06:01 Salary and the future in AI 06:30 Challenges: models don't always make it into production 07:12 Satisfaction from difficult problems 07:42 Analyst vs. data scientist – difficulty level 09:15 Is math really that scary? 10:21 Track 3: Business Expert (Hybrid) 10:39 Combining Analytics, Business, and Product 11:09 Why This Role Is AI-Resistant 11:35 Downside: Lack of a Single, Clearly Defined Track 12:00 Who Is Chaos Work For? 12:20 Entering Business and Broad Development 13:03 Developing in Multiple Directions Simultaneously 13:48 Summary: Which Track to Choose? 14:12 My Recommendation: Data Science 15:12 Conclusion and Question for the Viewers 📈 I'm talking about three specific tracks: management, data science, and a more "hybrid" track, where you combine analytics with business. Each track offers something different. You can focus on people and scale, you can delve deeper into technology and models, or you can become someone who connects various building blocks within an organization and manages the chaos that can't be easily automated. 📈 I also share who chooses which option, the pros and cons, and what to watch out for. The truth is, there's no single "best" path. There's one that works best for you. This episode aims to help you see that there are more options than you think, and that you can consciously choose a direction instead of just going with the flow.

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