I work in insurance underwriting and am considering data analytics. Is this still a good career path with AI advancing?
I'm 22 and recently graduated with a BBA in Operations Management. I've been working in insurance underwriting in an assistant level role for a little over 3 months now.
I actually really enjoy insurance so far and I'm not looking to leave the industry. I'm more trying to figure out what I should start building toward while I'm still really early in my career.
One path I've been seriously considering is data analytics, preferably within insurance.
What attracts me to analytics is the possibility of working more independently, having good hybrid/remote opportunities, doing mostly computer based work, and potentially combining technical skills with the insurance knowledge I'm gaining now.
I'm willing to put in the time to become comfortable with Excel, SQL, Power BI/Tableau, and eventually Python. I'd also want to build actual projects and skills rather than just collect certifications.
I wouldn't say data analytics is some lifelong passion of mine though. It just seems like a career that could fit the type of work and lifestyle I'm looking for.
One of my biggest concerns is AI.
I'm hesitant to spend the next couple of years developing analytics skills if a significant portion of entry level analyst work could eventually be automated. I realize nobody knows exactly what the job market will look like 10 or 20 years from now, but job security is important to me and I'm trying to think long term.
I'm especially curious whether having industry/domain knowledge changes that. For example, would someone who understands insurance underwriting and also has strong analytics skills be in a better position than someone who only has the technical skills?
My biggest career priorities are:
- Hybrid/remote flexibility
- Good long term pay
- Job security/stability
- Being able to work fairly independently
- Advancement opportunities
Long term, I'd like a realistic path toward around $90k-$100k+.
I strongly dislike sales, customer service, constant presentations, and jobs where I'm talking to people all day. I also value work life balance and would prefer a job that has natural busy and slower periods rather than being slammed with urgent requests constantly.
For people actually working in data analytics:
Does having insurance underwriting experience provide any meaningful advantage when applying for insurance analytics or BI roles?
Is a BBA in Operations Management a reasonable educational background for analytics if I develop the technical skills myself?
Is Excel + SQL + Power BI/Tableau + some Python still the right general skill set to focus on?
How concerned should someone entering the field today realistically be about AI?
Do you think analyst jobs will mostly evolve alongside AI, or do you expect the number of entry level positions to shrink significantly?
Does having strong industry/domain knowledge make an analyst any less vulnerable to automation?
How realistic is fully remote or heavily hybrid work once you have a few years of experience?
What is the actual workload like? Are there natural slower periods, or are you generally juggling requests all day?
Are there certain types of analytics roles that would fit my preferences better, such as BI analyst, reporting analyst, underwriting analytics, insurance analytics, product analyst, etc.?
And if you were 22 and already had your foot in the door at an insurance company, would you pursue analytics or stay closer to the traditional insurance/underwriting career path?
I'm completely open to hearing that some of my expectations are unrealistic. I'm mainly trying to make a smart decision now while I still have plenty of time to build the right skills.