Today, we talk with Luigi, Head of Data and Analytics, to find out more about his job role at the PxHub and why he does what he does.
As the Head of Data and Analytics, my job is to manage the different data lifecycles that exist in the company. Whether it is our customer’s data, Internal data, 3rd party data, research, and development, I’m always asking these questions:
How do I test this data is correct? Am I happy with what we’re capturing? What Inferences can I see? Is there a better way to structure this? Does this answer our hypothesis?
This visualisation is great, but is there a more intuitive way to show/explain this?
Sometimes my work means visiting clients directly to talk about their data and insights we’ve discovered. Other times I am locked away in our data lab working on our data infrastructure and curating and refining datasets. Some of my favourite moments, come from talking to Rob and Nick about the art of the possible, and designing tools for the future!
My first office job was doing data entry into databases. From then on, I learned how to query them, and then how to build them. As I grew in skills and confidence, there was a growing need for people who could manipulate and handle multiple sources of data for meaningful insights and outputs.
When I first started, the language around this process was only spoken by a few people in the organisation. Initially, we used this data to instruct on how to proceed with processes, then eventually, the data became intelligence and insights for data-driven decision making.
There’s never been a more exciting time to get into this industry than now! There are so many paths and avenues, although I do think a solid foundation of systems thinking, relational databases, and basic data structures help!
There are also, so many famous, important (and free!) datasets out there, I would recommend getting stuck with learning how to manipulate the data and experiment with visualising! Getting a good handle on the various techniques and tools will increase your ability to be able to interrogate the data, and start asking questions, by which you will use the data to try and answer. Once you feel comfortable, try, and build a portfolio that demonstrates your techniques and thinking!