Should I Become A Data Scientist / Business Analyst ?

Should I Become A Data Scientist / Business Analyst ?

Should I Become A Data Scientist / Business Analyst ?

One of the common queries I come across repeatedly across several forums is “Should I become a data scientist (or an analyst)?” The query takes various forms and factors, but here is a common real life anecdote:

When I reflect back on how I took the decision, I realized – I happened to be lucky! The decision was relatively easier for me. Why? I knew the industries / roles, I would not enjoy – these included roles in Sales, roles in Physical engineering and a few others. I was open to roles in data science in retail banks and investment banks and luckily ended up with Capital One.

Today, after spending ~8 years in the industry, it is far easier for me to guide and mentor people on whether Analytics is the right role for them or not. So, I thought, I’ll try and put my thoughts in a framework and share it with the audience of this blog. The aim of this post is to help those people who are sitting on the fence and thinking which job / role is right for them. So, if you are someone deliberating a move in data science or are wondering whether you are a right fit with this industry, here is a neat framework which might help.

Read Also:
Report: 55% of companies say security is biggest digital transformation challenge

I have put a framework in the form of a very simple test. This test is based on the attributes every analyst should possess. You should score yourself against each of the questions (out of the score mentioned after the question) and then add your scores. A good analyst should score more than 70 and any one scoring below 50 should seriously re-consider a decision to be a data-scientist.

By love I don’t mean like, I don’t mean you don’t mind numbers – I mean, do you have an obsession with numbers! Do you love doing guess-estimates at any time of the day – I have done those estimates while I am taking a shower, while I am driving, while I am watching a movie or even when I am swimming (and lost my count of laps)! I know my friend Tavish doesthese calculations in his mind too – while he is driving or while he is playing badminton. If you want me to space out of a discussion, just ask me a really hard logical problem!

Read Also:
When will things break? Predictive analytics will soon warn us

5 – dread mathematics & statistics, but can face to some extent

10 – Comfortable with mathematics and statistics, but need calculators and excel to work on problems. Don’t mind attempting puzzles

20 – Can’t live without number crunching and logical puzzles – an obsession!

An analyst will inevitably be tested against unstructured and amorphous business problems. And it is how you solve these unstructured problems, what decides how good or bad analyst you are. My first project in my first role stated: “In last few months, we have seen a high increase in high risk customers of type X. You need to come up with a data based strategy to measure, control and improve this situation.“

Even the business did not have a clear definition of these customers. Can you handle this kind of ambiguity and provide a direction on your own? Do you enjoy these situations or you would rather be comfortable in a more defined role?

5 – Have tried these problems in past – but not my cup of tea!

Read Also:
How Data Analytics Ensures Better Marketing

10 – A score of 10 would mean, you like solving these problems once in a while (say 3 – 6 months)

15+ – You prefer unstructured problems over structured. You don’t enjoy some one else structuring problems for you.



Data Science Congress 2017

5
Jun
2017
Data Science Congress 2017

20% off with code 7wdata_DSC2017

Read Also:
The Promise of Artificial Intelligence for the Enterprise

AI Paris

6
Jun
2017
AI Paris

20% off with code AIP17-7WDATA-20

Read Also:
The Emergence of the Citizen Data Scientist

Chief Data Officer Summit San Francisco

7
Jun
2017
Chief Data Officer Summit San Francisco

$200 off with code DATA200

Read Also:
How Microsoft's other machine learning tricks could make its bots even smarter

Customer Analytics Innovation Summit Chicago

7
Jun
2017
Customer Analytics Innovation Summit Chicago

$200 off with code DATA200

Read Also:
Top 5 Industrial IoT use cases

HR & Workforce Analytics Innovation Summit 2017 London

12
Jun
2017
HR & Workforce Analytics Innovation Summit 2017 London

$200 off with code DATA200

Read Also:
Four Steps for Driving Customer Loyalty With Data Science

Leave a Reply

Your email address will not be published. Required fields are marked *