Thriving data cultures prioritize inclusion, collaboration, and transparency over command and control. They work iteratively vs. trying to "boil the ocean." But of course, this is easier said than done, right?
Dec 2022 How to fuel innovation with agile data governance
Quick, what’s the difference between a data engineer and a data analyst? One preps the data, the other analyzes the data, right? A data scientist, meanwhile, analyzes more complex and disorganized data. The truth is all three of these roles perform overlapping functions leading to an incredible amount of confusion in the job market.
Join Tim, Juan and special guest Danielle Oberdier, founder of DiKayo Data and host of the popular DataFemme podcast, to talk about the state of data jobs. How do we make sense of the roles that are out there today, who should companies be looking for in their hiring process, and what new and exciting data positions are starting to emerge?
Certifications that make you more marketable
How to stand among your peers in a crowded job market
What was the very first job you ever had?
Data scientist vs. data analyst vs. data engineer
Google is your friend -- always be learning, grab those libraries, follow the patterns, etc.
Certifications and networking will set you apart in the job market.
See the catalog for data discovery, governance, access, and analysis.