6 Questions to ask yourself before starting your career in Business Analytics & Data Science

Learn more about SSN SACE’s PG Program in Business Analytics and Data Science

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With all the buzz surrounding Business Analytics & Data Science, you want to dive headfirst into this trending career path. However, you should make sure you are taking the right decision.

So, here are a few essential questions you should ask yourself before you take that plunge:

  1. Do I have an affinity for numbers?

The first thing you’ll want to ask yourself is whether you are made for this career. You need to be passionate about statistics and numbers in order to make a mark in this field.  You will be expected to be detail-oriented and mathematically inclined, and proficient in working with computer systems, data management concepts, and database structures.

  1. Why do I want to pursue Business Analytics or Data Science?

Growth and success in Business Analytics & Data Science, just like any other field, demands hard work and patience. So make sure you are not in it just for its monetary benefits. Read up on what the career of a Data Scientist is all about, and make sure it is an area you are actually interested in. You can even take some short online courses to make sure you know what you’re getting into.

  1. Do I have enough time to devote to new learning?  

Learning Data Science is no joke. It will be a big commitment on your part. An important question to ask yourself is whether you have the time to set aside for dedicated learning. It is absolutely essential that you devote at least 6 months of learning to get a good grasp of analytics essentials like Big Data and Machine Learning – to ensure you enter the domain with a strong foundation.

  1. At what point am I in my career?

Depending on where you are in terms of career-growth, you’re probably wondering whether entering the analytics field is a good move for you. The good news is, analytics is finding applications in all aspects of businesses across industries like financial services, telecom, retail, and health care. So even if you are from a non-analytical background, making a switch to analytics can be rewarding in the long run as your expertise can help you transition into more management-level positions.

  1. What career path do I want to follow?

The data science field offers three main career paths: Data Engineering, Business Analysts and Data Scientist.

Data Engineering roles are prefered by most IT professionals who work toward sharpening their knowledge of Hadoop, Spark, SQL and NoSQL. The Business Analyst career path involves a mix of visualization skills (Tableau, Qlik, Power BI) and querying language (SQL, Pig, Hive). Finally, the Data Scientist route is best suited for those with a strong passion for statistics and mathematics with proficiency in coding and domain knowledge.

  1. How can I be sure that this career is the right fit for me?

If you are unsure about diving into the deep end, scout your workplace internally to see if you can gain any experience in the analytics sector. This can help you solidify your interests, understand your weaknesses and develop soft-skills without having to leave a secure position.

Once you’re sure that this is the path you want to take, start working towards your transition. Even though there are plenty of free resources, it can be difficult to put together a clear learning path. That’s where a short course like SSN SACE’s PG Program in Business Analytics and Data Science can really get you up to speed. With the perfect balance of classroom learning and practical sessions, you can kickstart your analytics career in just 6 months!

Check out SSN SACE’s PG Program in Business Analytics & Data Science

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