uplIft: Jan 20, 2022
Perspective
Career Conundrum
Q: Should I jump onto the Data Analytics & AI Bandwagon?
The Analytics & AI space is ripe with opportunities. Not only are there more roles open, but equally the wages & perks are through the roof. It’s tempting then for those starting their career, and even for those looking to change careers, to evaluate foraying into this space.
Analytics & AI is certainly a hot career option that’s here to stay. So, investing in, pursuing it is a wise choice. However, saying I want to join the Analytics and AI industry is like saying I want to become a doctor or an sports person. Much like there are doctors or sports person of various types, there are multiple different specializations to choose from here. Be it digital analytics, data engineering, traditional analytics, machine learning, market research etc. Further within each of these specializations, there are multiple roles you can play ranging from the data digger and massager (for most entry level roles this is table stakes), to the account manager, to a scrum master or program manager, the domain expert providing industry perspective and validations, to the visualizer and story teller, or even product owner. While basic understanding and comfort with data and code is a necessity in most of these roles, not all require an in-depth numeric aptitude.
But, it’s not the only career option out there.
It’s important to choose professions that are at the intersection of our Interest, Capability and Market Demand. So, if you have the aptitude for data and technology, by all means go for Analytics. But if you don’t, that’s absolutely fine as well. The world has a place for all professions, especially if you are skilled at your craft – researchers, academicians, nurses & doctors, engineers, content creators, entertainers, chefs, bankers, sportspersons etc.
As analytics & AI mature, there will be non-technical roles that will emerge in it. With time, analytics & AI will become enablers that anyone will be able to use without needing to know coding and technology (much like we use computers today without necessarily having to use command prompt) . So knowing how to use it effectively will become more important, irrespective of your career choice.