Can a Philosopher become an Analytics Engineer?
Analytics Engineers are cloud-based data specialists, new members in data team, whilst philosophers often have their head in clouds. How a philosopher may become an Analytics Engineers? Let’s find out!
What is an Analytics Engineer?
Analytics Engineers use a combination of technical skills and analytical thinking to create models. They build data pipelines and deploy solutions that better enable data teams to access and manipulate their data.
In particular, Analytics Engineers are cloud-based data specialists. They work closely with modern data warehouse software such as Snowflake, Fivetran, and DBT by using advanced SQL, Python and GIT.
How can a philosophical mindset lend itself to Analytics Engineering?
Philosophy as a discipline is ancient and time-tested. Philosophers themselves have solid analytical and critical thinking skills. In general, lots of people envy their ability to organize abstract information systematically. This skill set lends itself very well to the field of Data Analytics, in which specialists must prepare and preprocess data in a coherent way.
need to be addressed. How do that?
Philosophers and Analytics Engineers: more in common than you thought
Dealing with uncertainty is another aspect of Data Engineering that Philosophers may also excel in. In today’s highly competitive and high-stakes markets, businesses need to make ever more careful decisions. The latter are based on a multitude of chaotic and seemingly senseless information.
Using modern techniques and tools to manipulate massive quantities of data, the Analytics Engineering professional reduces uncertainty and drives efficient and profitable solutions.
Philosophers and Analytics Engineers: more in common than you thought?
The Information Lab Netherlands and TIL Italy founded The Nimbus Intelligence Academy. The objective of this multinational team of experts in the field of Data Analytics is to train the next generation of data experts. The academy empowers its students with a modern, cutting-edge education, as well as the soft-skills and formation necessary to succeed as consultants and data professionals.
In this scenario, it seems possible that a philosopher could belong to the next generation of Analytics Engineering. However, she will have to face many challenges.
Let’s see in the next blogs what will happen, what are the challenges that Analytics Engineering will face as one of the newest fields in data team, and what results a philosophical gaze will bring to it.
Are you curious?
See you soon
