Does anyone work in financial or data analytics?

Question

Was wondering if you guys like your jobs and what your typical work days look like.

Also, What languages do you use as part of your job?

Answer 1

I used to work for a trust fund application provider and for a bank in the IT Development department of course, and it went from PL-SQL and Java to Oracle Business Intelligence, Siebel CRM and even AS400, for development and automation of different modules and reporting generators as well as parametrization, which is providing new options to the CRM.

It's very challenging because information never stops, and the job usually involve monitoring tendencies, controlling money movement, reporting, reporting and more reporting with different relevant criteria and lots of graphics, and implementing modifications and addition of products.

This kind of jobs is usually very well paid because there's a lot of responsibility and work, so you better like it Oisin, cause you will work as much as you will grow professionally. Good luck.

Answer 2

No, but I was just reading about the demand for COBOL programmers in the financial field. Supposedly most of the main systems still run on COBOL and they are paying big money to pull retired programmers out of retirement to maintain them. Of course that cannot continue in the long run and they need new programmers to replace the old ones before they all die off. Of course, at some point, they may be forced to switch to another language, but the cost is currently way too high.

Answer 3

Thanks a lot for the detailed answer.

Answer 4

Yes, many professionals work in financial and data analytics and find the roles intellectually rewarding. Typical days involve data cleaning, analysis, and reporting—often using tools like Excel, SQL, Python, and R. Financial analysts might build models, forecast trends, or create dashboards in Power BI or Tableau. Data analysts focus more on querying databases, identifying patterns, and supporting decision-making. The job can be fast-paced, especially during reporting periods, but offers strong growth and problem-solving opportunities. Python, SQL, and Excel are the most commonly used languages, with R or SAS used in more specialized statistical roles. Many enjoy the variety and impact.