I recently saw a radar chart (shared below) that maps out the skill sets across these roles—and it got me thinking…

Here’s a quick breakdown:

🔧 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 – The pipeline architect. Loves building scalable systems. Tools like Kafka, Spark, and Airflow are your playground.

🤖 𝗠𝗟 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 – The deployment expert. Knows how to take a model and make it work in the real world. Think automation, DevOps, and system design.

🧠 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁 – The experimenter. Focused on digging deep, modeling, and delivering insights. Python, stats, and Jupyter notebooks all day.

📈 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁 – The storyteller. Turns raw numbers into meaningful business insights. If you live in Excel, Tableau, or Power BI—you know what I mean.

💡 𝗥𝗲𝗮𝗹 𝘁𝗮𝗹𝗸: You don’t need to be all of them. But knowing where you shine helps you aim your learning and job search in the right direction.

What’s your current role—and what’s one skill you're working on this year? 👇