Whatever PE wants… #1
One of the best way for me to understand a market is through the job offers, they give you a pulse of the skills that the companies are actively looking for and for which they have a budget. So it’s a perfect way to understanding the underlying trends of the industry. For example: exploring AI, the company would be a consulting firm for an assessment or a training, but developing a perennial AI use case then the company would now hire an AI specialist or Data Scientist in-house. It helps finding the signal of where the industry’s head is really at beyond the noise.
Since we work with Private Equity backed companies and we are (still) a small company so we only have the sense from our existing clients, I needed more recul et profondeur to understand what they areactively looking for in order of course to better serve them.
I had two days of rest between my last project for Cytiva and an upcoming sell-side due diligence in the F&B, so what better thing to do than to read hundreds of job offer for PE firms and their portfolio companies? Nothing, I did it so you don’t have to.
So this is the first edition of the PE recruiting tracker.
By the way, we have already launched two market trackers:
Below are the main charts and insights, bt before that few words on the process:
Data collection: collected 231 job offers for Private Equity firms or PE-backed companies from specialized recruiting platforms (by the way since it’s the first edition I only used one platform, but for the future ones I’ll add other sources)
Data processing: These job offers usually contains a title, a location, a type (interim or permanent), the salary range and a job description in text. It is in the job description that lies the piece of nuggets and isights. So to extract them, I used Anthropic’s Claude 3.5 Sonet language model to analyze unstructured job descriptions and convert them into a structured format with key attributes and things to explore like the sector, the main responsibilities and the required skills
Data analysis: playing around with the data set to see what’s happening
