Building a career in Consumer / risk analytics / BI


hello everyone,

I am glad that I came to know about this website.

My background:
I have worked in consumer support for 2 years and now i am working as associate IT and data analytics for last one month. I have an engineering degree in computer science. I am not really sure how good i am with analytics but i am comfortable with organising data / data storage / access.

My research till now:
i have been doing a lot of research about analytics from past 1 year and I am yet zero in on any one of the analytics platform. I am interested in consumer analytics but my job is now mostly about insurance / banking / cedit risk analytics.

Could you please suggest me:

  • The courses or the languages / tools that I need to learn regarding insurance / banking / cedit risk analytics.
  • Is it a good move to change the domain to consumer analytics after some time may be a year.?
    and how is insurance/banking / cedit risk analytics for career prospectus.?
  • What are the tools/languages to learn for consumer analytics?.
  • With engineering degree in computer science is it more appropriate to get into business intelligence rather then analytics.?

Also could you please give more insights on BI and analytics.

I would be greatful to you for all your answers.

thank you



You should only ask one question for each post. If you have multiple questions, create separate posts.

Here are some of the answers to your questions:

  • It is a good idea to move into data technology field. However, the decision between Business Analytics / Intelligence / Consumer analytics would depend on your primiary interest, motivation and the hard work. Business Intelligence look like a natural progession in your case. So, I would suggest to continue to move in this direction.
  • Before moving into Business analytics / predictive modeling, you will need to do a lot of preparation on various aspects: the tools, techniques and softer skills like communication and presentation skills. So take one step at a time.
  • On the tools, if your employer is using SAS, you can start with that.



thank you very much kunal for your reply.