Kunal Jain — November 24, 2020
Beginner Big data Business Analytics Business Intelligence Career Job Roles

Introduction

One of the common queries I come across repeatedly on 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:

“I have been doing Sales for multiple BFSI giants for last 3 years, but I have stopped enjoying my role. After reading about Business Analytics and machine learning, my interest in this area has grown. Should I make a switch and learn data science? If so, How do I do this?

career-path-confusion

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 about 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 that might help.

The role of a mentor in building a career is priceless. Being from the industry, the mentor can help you navigate your learning path so that you don’t fall into traps. Certified AI & ML BlackBelt Plus Program comes with 100+ hours of live-course, 100+hours of self-paced video, 18+ real-life projects, and the most important – 1:1 mentorship so that you can focus on becoming an industry-ready professional with the relevant guidance. 🙂

 

Framework

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 anyone scoring below 50 should seriously re-consider a decision to be a data scientist.

 

Should I become a Data Scientist or a Business Analyst

 

Test Questions:

  • Do you love number crunching and logical problem solving – i.e. puzzles, probabilities, and statistics? (score out of 20)

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 does these 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!

Key:

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

15 – Love crunching numbers and solving logical puzzles anywhere

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

  • Do you enjoy working/handling unstructured problems? (score out of 20)

An analyst will inevitably be tested against unstructured and amorphous business problems. And it is how you solve these unstructured problems, that decides how good or bad an 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?

Key:

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

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 someone else structuring problems for you.

  • Do you enjoy deep research and can spend hours slicing and dicing data? (score out of 20)

Going back to the first project I faced, it took me 3 months to understand the business, have multiple discussions with stakeholders, brings them on the same page, and then mine the data to bring out solutions. You need an outlook of a researcher to be a good business analyst. When was the last time you spent hours and hours immersed in solving a problem? Can you do that again and again?

Key:

5 – You want a change every few hours. You can’t work on a single problem for the entire day

10 – You can work on a research problem – but need some side work to help you out of boredom

15 – You feel the side work is distracting you from making progress on the key problem you are working on. Would be happy if they are taken away

20 – Can’t stand distractions

  • Do you enjoy building and presenting evidence-based stories? (score out of 20)

A data scientist needs to be a fluid presenter. What is the use of all the hard work, if he is not able to influence his stakeholders? Communicating with data and presenting stories backed by data is one of the most important elements in the life of a data scientist. Imagine being part of companies like Google and Amazon – you have all the data you need (probably more than that) for the domain you are working on, but you need to convert it into a meaningful story, present it to the stakeholders and influence them to take the right decision!

Key:

5 – You struggle to communicate my mathematical thoughts to the audience

10 – You can manage telling stories with a lot of practice. Can’t think of doing this on the fly!

15+ – Any time, anywhere!

  • Do you always find yourself questioning people’s assumptions and are always curious to know ‘Why”? (score out of 10)

This is probably the best part and the most fun part! Here is a quote a read somewhere on Linkedin: Arguing with an Engineer is a lot like wrestling in the mud with a pig: After a few hours, you realize the pig likes it. Similarly, asking why comes naturally to a good data scientist. Some of the best data scientists would stop anyone and ask for a rationale if they are not clear – Why did you ask this question? What was your thought process? Why do you assume so? are just a few examples of these questions!

Key:

5 – You only ask questions when they are critical to be asked

8+ – You can’t stand the anxiety of not understanding something! Jumping to ask questions!

  • Do you enjoy problem-solving and thrive on intellectual challenges? (score out of 10)

Analysts require a knack for problem-solving. Most of the problems businesses would face would be unique to them and it would take a smart solver to solve them. Solutions, which work for one organization may not work for another – you need to be someone who quickly develops a deep understanding of a problem and then come out with innovative ways to solve these problems

Key:

3 – You don’t mind thinking about solving problems – but you struggle.

6 – You can solve problems at times

9 / 10 – You just love the process of intellectual thinking

questions

End Notes:

What is my score? I would score somewhere between 80 – 85 on this test. It is your turn now. Do take the test and let me know, how much do you score? Also, do let me know if you think the test was helpful or otherwise.

Please note that like all subjective questions, there are no right or wrong answers here. You might score low on the test, but still, be the best analyst/data scientist out there. However, the test should help most people facing confusion. If you still remain confused after reading this article, please feel free to share your confusion/query through the comments below. It will help you clear the confusion and it will help me improve this framework.

Did you like this framework? We at Analytics Vidhya follow an analytical approach to problem-solving. If you want to become a data scientist with this analytical mindset, check out the Certified AI & ML BlackBelt Plus Program which offers 100+ hours of live-course, 100+hours of self-paced video, 18+ real-life projects, and the most important – 1:1 mentorship. The course is carefully crafted by experts so that you can become an industry-ready professional! 

Now that you know that you can / can not become a data scientist, you might be asking “How do I become a data scientist?”. Here’s the Roadmap – 

About the Author

Kunal Jain
Kunal Jain

Kunal is a post graduate from IIT Bombay in Aerospace Engineering. He has spent more than 10 years in field of Data Science. His work experience ranges from mature markets like UK to a developing market like India. During this period he has lead teams of various sizes and has worked on various tools like SAS, SPSS, Qlikview, R, Python and Matlab.

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72 thoughts on "Should I become a data scientist (or a business analyst)?"

Paramita
Paramita says: September 09, 2014 at 6:51 am
I got 60 Reply
Sudhi
Sudhi says: September 09, 2014 at 7:21 am
Hey Bro, Thanks for a wonderful article and this gave me a chance to introspect myself. Thanks for the great article! All these days I was like a cat sitting on a wall. Through this article I have made my decision stronger to be a Business Analyst armored with analytical tool (SAS) + being a Business Analyst for the last 11+ years across various domains. Once again thanks for this article and I shall promise by doing a noble cause of sharing this article with all the persons who are still sitting like a CAT on the WALL. By the way, I have got 72 marks! Regards, Sudhi. Reply
Jayana Natalia Charles
Jayana Natalia Charles says: September 09, 2014 at 8:13 am
Mine is 60..... Reply
Suman
Suman says: September 09, 2014 at 8:46 am
Does it mean if I score low than 70 I can still consider to be in a business analyst role rather not pursuing a data scientist role. Reply
ABHISHEK KUMAR
ABHISHEK KUMAR says: September 09, 2014 at 9:22 am
17+9+16+12+7+8=69 .. I have just started my career with Analytics after having given lots of thought to it. Whether I have made the right decision or not only time(may be 3-5 years) can tell .. but yes, scoring 69 gives me a feeling that.. yes I am on the right track.. :) :) Reply
SPC
SPC says: September 09, 2014 at 10:19 am
I am planning to shift to analytics after 14 years of experience across IT enable/IT/Health care/Engineering industry, I scored 73, though ‘m comfortable with mathematics and statistics, but need calculators and excel to work on problems, but I love solving strategic and number puzzles. So is doing mind/mental calculation an important criteria for an analytics? Will this be a hindrance in shifting to analytics world? Reply
David
David says: September 09, 2014 at 1:28 pm
I too am between and 80-85. I don't mind working within structures. I find the tradeoff between skepticism and working within the confines of expectations to have a reasonable business purpose. Also, sometimes the monotony of side work is often the break I need to "clear the fog" after long periods of intellectual thinking. Also as an analyst, I tend to only focus on critical issues because there is just not enough time in the day to focus on everything. Great quiz. I enjoyed it. Reply
pradnya
pradnya says: September 09, 2014 at 2:19 pm
I got 78 What does this mean? Reply
sreeni
sreeni says: September 09, 2014 at 5:43 pm
Hi Team, i'm changing my carrer to data analyst.. what is the best option to change ..i have littlt bit knowledge in microstartegy.. let me help me on this.. Reply
Amarjeet
Amarjeet says: September 09, 2014 at 6:51 pm
12+10+12+18+6+6=64 I am putting lots of effort to learn every granular thing in the business problems and learning the art of analytics from every possible way. Kunal I would really like to appreciate for creating such a great framework. You are a real Data scientist who can put real life situation into such innovative and logical framework. Reply
Ram
Ram says: September 09, 2014 at 7:01 pm
Hi Kunal, I belive I have reached the right place. I want to ask something regarding mid career switch. I am working in an international BPO Finance & accounts domain totally I have 8+ years Exp (5.5L CTC per Annum)…..have a great interest in Analytics I am 32 years of age..though I think age is just a number but dont know what recruiters think. I have done BCom & Master of Foreign Trade, I would like to move to an analytics field. Planning to join Analytics foundation course with SAS Could you please advise me will recruiters will consider my profile for entry level Analyics job? I have spoke to One of Trainer in Analytics Training centre, he said my profile will not match with Industry requirement., Now im in dilema, whether to join or not to join. Please advise. Thanks and Regards, Ramachandra Reply
Kunal Jain
Kunal Jain says: September 09, 2014 at 10:12 pm
Sudhi, 72 is a good score. The only thing you need in addition to the skills mentioned above is strong motivation! So, if at any point in time, you feel your motivation to learn analytics is going down, do visit www.analyticsvidhya.com Regards, Kunal Reply
Kunal Jain
Kunal Jain says: September 09, 2014 at 10:13 pm
All the best Abhishek. Do share your journey and experience with us. In case you need any help with your learning, feel free to reach out to us. Regards, Kunal Reply
Kunal Jain
Kunal Jain says: September 09, 2014 at 10:15 pm
It should not be a hinderance. The good part is that this is one skill, which you can train yourself on with practice. You might find this article useful: Planning a late career shift in Analytics? Regards, Kunal Reply
Kunal Jain
Kunal Jain says: September 09, 2014 at 10:19 pm
Thanks David. Completely agree on your point to focus on critical issues - Just to be clear, I mean important (and not urgent) when it is written as critical. Regards, Kunal Reply
Kunal Jain
Kunal Jain says: September 09, 2014 at 10:20 pm
Pradnya, 78 is a good score. If you are already a data scientist / business analyst - you have a long way to go! If you are aspiring to become one - all you need is to supplement your skills with right efforts and mentorship. Regards, Kunal Reply
Kunal Jain
Kunal Jain says: September 09, 2014 at 10:21 pm
Thanks Amarjeet! Reply
Kunal Jain
Kunal Jain says: September 09, 2014 at 10:23 pm
Ram, Which course are you planning to take? Also, which recruiters would you want to target? Regards, Kunal Reply
Kunal Jain
Kunal Jain says: September 09, 2014 at 10:23 pm
Sreeni, What was your score? What is your current experience and education background? Regards, Kunal Reply
Kunal Jain
Kunal Jain says: September 09, 2014 at 10:25 pm
50 - 70 is the grey area. You can consider data science as a career option,if you are highly motivated to join and can sustain the motivation for at least 1 - 2 years. Regards, Kunal Reply
Sudhindra
Sudhindra says: September 10, 2014 at 2:19 am
Thanks for your reply. apart from analytics vidhya, are their any other vital source of info on the analytics front? Reply
Ashique
Ashique says: September 10, 2014 at 5:40 am
Dear Kunal: I m becoming fan of urs reading ur articles in various forums. I m puzzled while thinking of being a 'Data Scientist". Recently I got chance and enrolled in ISB CBA 2015 program. Before the enrollment, I talked with a few persons at home and abroad but no one could answer to my satisfaction. Let me share a brief of my personal profile. I am running 34, working in a Bangladeshi leading bank as senior manager in R&D, having overall experience of almost 12 years. I love number crunching, advance user of EXCEL but limited knowledge about SPSS/STAT. Currently m drawing BDT 18L (INR 14 equivalent) per annum. Now I m really confused about my mid-age career shift/job prospect after investing BDT 12L+ (INR 9.5L+). By the way, I scored 72. In such quandary pls. help me out.. Thanks in advance. Ashique from BD Reply
SRM
SRM says: September 10, 2014 at 6:57 am
Hi Kunal, I have 3 years of prior work experience in IT industry and currently I am pursuing my MBA. I am getting a score of 69 but I am interested in the field of analytics. However, I am not able to decide whether switching to analytics/data scientist track after an MBA will be right choice? Does data scientist's work is more dominated by technical work or functional and whether opting for an analytics profile will be right option? Please advise Thanks Reply
Simon
Simon says: September 10, 2014 at 9:43 am
My score was 73 - what should I do? I love data, using Excel to its limits with the amount of data I am using, but don't know SQL/R/SAS. I think Tableau is amazing but yet to use it, however I am pretty sure I can learn fast. Is this obstacle difficult to overcome? Reply
Ram
Ram says: September 10, 2014 at 12:21 pm
Kunal, Thanks for your time in responding my query.It's a business Analytics Foundation course Contains below syllabus Level1: Certification program on Business Analytics(Foundation) Tools covered: •SAS Base •SQl •Macros Level2- Certification program on Business Analytics(Advanced) •Advanced SAS •Excel •Core Statistics •Applied business Statistics I'm completely new to this Analytics world, please guide me which kind of recruiters will prefer And let me know Can I go ahead & join this course. Thanks Ram Reply
dharmender
dharmender says: September 10, 2014 at 2:58 pm
Hey Kunal, That was an impressing article. This is first time I'm reading your blog, I stumbled upon via Google Alert. You've sliced all the skills pretty intelligently. The only thing I'd like to add is Programming skills. Do you think they need to be part of the skills, to measure for. I got 73. I love number crunching, business analysis, mathematics, statistics and story telling about data. But my biggest fear is programming. The reason is: I tried learning C++, couple of time, in the past but couldn't get it. And drew a decision that programming is not my cup of tea. Sometimes I think that might be a wrong decision or may be right. For data science I need to learn at least SQL, R and Python. Which makes me feel bit nervous. Right now I'm on fence of making a decision if I should go for data science career or not. Please help me making the decision. Your views would be highly appreciated. Thanks. Reply
Sheila Greenfield
Sheila Greenfield says: September 10, 2014 at 7:44 pm
I got 67. I don't know what the 8+ means? How do I determine if I take the extra 2 points to maximum of 10? Very good to have this framework. Thanks Reply
Shlomit Jacobson
Shlomit Jacobson says: September 11, 2014 at 1:10 am
Hi, Thanks for the article, I found it very useful for clarifying what are the qualities I will need If I decide to chose this direction. I got 89 (13+18+20+18+10+10=89). Reply
Ravi Shaw
Ravi Shaw says: September 11, 2014 at 8:19 am
Hi Kunal, Thank you for the great article! Currently I am working with an Utility client and having good knowledge in Base SAS, SQL and advance excel. I want to be a business analyst. Could you please guide me. Regards Ravi Shaw Reply
Dinesh
Dinesh says: September 11, 2014 at 1:05 pm
Hi Kunal, I score between 54. Which area do i consider. i had 7 years of exp and looking to change in big data and analytics space. Please advice and let me know some good training course for big data and analytics . Thanks! Dinesh K Reply
Mukesh Rathi
Mukesh Rathi says: September 11, 2014 at 4:57 pm
Hi Kunal, Thanks for this framework it really helpful, I am also new to this industry but feel excited. Reply
Stefan
Stefan says: September 12, 2014 at 12:33 pm
I'm around 85 and feel like a philosopher trapped into an engineer body... obsessing about automating problem solving... and looking for like minded people to share the quest Reply
Vivek Kumar Singh
Vivek Kumar Singh says: September 14, 2014 at 2:56 pm
Hi Kunal, i have gone through the framework.it is really helpful. Reply
GK
GK says: September 14, 2014 at 3:22 pm
Answering the questions could perhaps be a bit biased if you already know the interpretation of the score? I have a high motivation to play around with Machine Learning tools, but perhaps not necessarily the right mindset to become a Data scientist with a score of 52... :-s Reply
Mike C
Mike C says: September 14, 2014 at 7:46 pm
Contemplating from devops programming back to something more math-ish/analytical. I'm at 70 or perhaps a bit more, but I'm giving myself bonus points for wondering while taking the quiz whether and how you validated it... ;-) Thanks for this! Reply
SR
SR says: September 15, 2014 at 7:14 am
Hi! Got an 80, but here's my problem: (!!) I got a 5 each on question 1 and 4, and max score on the rest - Essentially I LOVE scrutinizing stuff, can be a PAIN in the way I ask questions to get to the depth of something, love to spend HOURS in figuring out stuff........but - I'm just not comfortable numerically!! Sure I can look at numbers and come up with insights, pretty valid ones too, but it takes time and effort and I'm not as intuitive as many freshers I know! So what should I do? Reply
Ram
Ram says: September 15, 2014 at 12:27 pm
Hi Kunal, Please advise me on above Regards Ram Reply
Anish Baruah
Anish Baruah says: September 15, 2014 at 6:26 pm
I a 3rd year Engineering student from a reputed college in Bangalore. I would really appreciate a reply from Kunal Jain as to what I should be doing while still in college to be a better analyst. I wish to pursue an analytics degree from the US right after my graduation. Thanks. Reply
Nitesh
Nitesh says: September 16, 2014 at 5:37 pm
Hi Kunal, Thanks for this article !! I scored 73(Just crossed the boundary ) .I already have decided to shift my career to analytics. I know the statistical tool like SAS and R (Tested my expertise on article written by Tavish ,scored 16/20 in SAS and R ,didn't attempted Python ).I have done one project on Kaggle .But still its hard for me to get a interview call . Because without any interview I cant show any one one what I know .I have 2+ yrs of experience in Business Analysis and Business Process .Can you suggest me in how to go ahead .your previous suggestion helped me a lot . Thanks, Nitesh Reply
Chaitanya Prabhu
Chaitanya Prabhu says: September 17, 2014 at 10:39 am
Good framework to check the preparedness for the Analytics Field. My score 70...Presently i am doing Foundation course in Analytics. Hope to imporve the score in future. Thanks Chaitanya Prabhu KH Reply
Joy
Joy says: September 17, 2014 at 1:52 pm
Very interesting post! Thank you for your insight regarding the attributes which make a person more or less likely to enjoy the field of data science. I have transitioned from a finance/accounting track within the healthcare industry into data analysis in same. This framework has helped focus my thoughts about what skillsets I need to invest time into strengthening to support my transition. I scored a 75. Reply
EC
EC says: September 17, 2014 at 4:04 pm
I got 85-90. This is not much of a surprise since I'm a theoretical physicist :) After research work in University, I would now like to work in data science out of academia, so I'm trying to find my way in the world out there. Any suggestion? Elena Reply
Kunal Jain
Kunal Jain says: September 17, 2014 at 5:51 pm
Nitesh, Here is the good news! I think you are inches close to get the break you have been looking for. Just keep your confidence up and continue your learning with Projects on Kaggle and various MOOCs. Keep learning advanced techniques (beyond linear & logistic regressions and decision trees) and aim to get a one time break into Kaggle top 10%. Which city are you based out of? Regards, Kunal Reply
Kunal Jain
Kunal Jain says: September 17, 2014 at 6:02 pm
EC, Wow! That sounds like a really good score. I would suggest that you take up your first job very carefully. Your employer should ideally have good diversity of people and obsession with how data can be used for smart decisions! All the best! Regards, Kunal Reply
Kunal Jain
Kunal Jain says: September 17, 2014 at 6:09 pm
Anish, Thanks for dropping this query. You can find the answer to your question in this article. Regards, Kunal Reply
Nitesh
Nitesh says: September 18, 2014 at 12:39 pm
Hi Kunal, Thanks for your reply .I am working on one of kaggle project and will try to perform best .I am planning to learn Python which is in demand for almost every analyst job (Python is in more demand than R ).Should I go for Python or any other visualization tool like Tableau . Is there any MOOC to learn Python or Visualization tool . I am based in Mumbai but looking for job in other city and ready to relocate .I am more interested in working at start-up so looking for such type of opportunity . Nitesh . Reply
Cory C.
Cory C. says: September 18, 2014 at 9:06 pm
I am a University Student in Statistics (Minors in Computer Science and Business). Got a 76. Starting to think this is the field I should go into! Thanks for the test! Cory Reply
Jessica
Jessica says: September 19, 2014 at 11:48 pm
Thanks Kunal, for making this quiz. I've been doing a lot of research and am getting started in the field. 20+10+15+20+10+10=85 I'm hoping with my background in electrical engineering and mathematics that I seem like an ideal candidate. I know this is the field for me and your quiz confirmed it. I must admit I sat awhile analyzing the quiz. It's a habit. Question is would I need to get another degree in an analytic field such as operation research, management science, or something like that. I love math so I'm wanting to get my master's in mathematics but if getting it in operation research or management will improve my chances? So can math help me as an analyst/data scientist? Reply
Sumit Savani
Sumit Savani says: September 20, 2014 at 7:41 am
Hi Kunal, That was an interesting framework. The self assessment gave me an understanding of which areas I am strong and also gave me reassurance that I am on the right track. I am working as Operations & supply chain consultant at IBM, currently focused on developing the technical foothold required for executing the Business analytics through R and SPSS. I was just wondering what is the depth of understanding that is required and the dependency on other technical languages like python/Hadoop which I usually hear from the guys who are already there, as being a non IT professional I don't have any base in these languages. Reply
Kunal Jain
Kunal Jain says: September 21, 2014 at 6:11 am
Sumit, It entirely depends on what you want to achieve. Independently R / SPSS are capable of handling most of the challenges, you will come across. Hadoop is only required, when you have huge (really huge!) data and Python is just a programming language. Regards, Kunal Reply
Kunal Jain
Kunal Jain says: September 21, 2014 at 6:28 am
Jessica, You are right, you do look like an idea candidate for the job. A degree in mathematics or statistics is as good as OR or management, probably more relevant. You will need Math and Stats as an analyst, so helps to have a degree in those subjects. Regards, Kunal Reply
Konstantin
Konstantin says: September 25, 2014 at 12:16 pm
Greetings, Kunal! Got 75 from your test. Currently employed as system analyst in software development company. Work with the same systems and same problems all over and over again burning me out, I've got tired of all this routine and decided to shift career next year to data scientist/BA. Started searching the web for relevant sources of information and found your blog. Thank you for it! It's like to find a stash full of gold! Your articles is so helpful, especially about skills and tools I need to master to achieve competence in BA/ data science. Thanks again! Reply
ankit
ankit says: September 29, 2014 at 5:56 pm
sir I have scored 76. I am currently in my final year b.tech from an NIT and I am already been placed at one of the KPOs. Sir i would like to know more about my future prospects as M&A analyst?. that is the profile I have been offered. Reply
Yizhe
Yizhe says: October 15, 2014 at 3:26 am
65 I guess it is a good start as a new data analyst Thank you for the article! Yizhe Reply
Jing An
Jing An says: November 05, 2014 at 2:54 am
I'm definitely 85-90. Feel like this is exactly what I want to do. Reply
Vikas
Vikas says: December 12, 2014 at 4:07 pm
Hi Kunal, My score is 71 and I have done graduation in Mathematics and I have done MCA also. I have 5.2 years exp in operation with Infosys. After that I have 3 years of gap. I have practiced Hadoop framework with Hortonworks. Now I am learning Python and Machine Learning. Please suggest me, am I going right..??? Need ur suggestion. Its urgent. Reply
Rajesh Subudhi
Rajesh Subudhi says: December 29, 2014 at 7:18 am
Hi Kunal, First of all Thanks to you & your entire team in starting and continuously adding new article to this website. Recently joined a 50hrs session on Business Analytics from EduPristine. From one our faculty get to know about your website and since then I am reading articles published by you & Tavish. I am working as a Business Analyst in an IT firm with around 10 years of experience. I have worked for some of the ERP & BI projects as Requirement Analyst. Now I have set my mind to shift to Analytics side. And I find the above framework a right tool to judge whether one should shift to Analytics or not. Thanks for creating this framework. I am sure all the new entrants to Analytics like me will find this framework/tool useful and give a true reflection of their interest. I can say its a Psychometric test to know your Interest for Business Analytics. BTW I scored 69. Rajesh Reply
Kunal Jain
Kunal Jain says: March 15, 2015 at 6:08 pm
Hi Vikas, That's nice, Hope you have gained good hands-on experience in Hadoop. Once you will be comfortable with Python and Machine Learning, apply your learning to a few datasets and participate in a few Kaggle competitions for experimenting and gaining hands-on experience. Regards, Kunal Reply
Elina Jeskanen
Elina Jeskanen says: April 18, 2015 at 6:56 pm
100 points! - And note that the most important aspects are, enthusiasm about data, asking and identifying questions, solving problems with business value and last but not least communicating results! Totally agree! Reply
Santosh sharma
Santosh sharma says: May 10, 2015 at 4:14 am
Hey kunal I got 63, does it mean I can pursue career in analytics? I have done B.tech in electronics and comm. Engg. But I don't have any working experience. Plz guide me. Reply
Sorin
Sorin says: August 17, 2015 at 8:00 pm
Hello. I got around 60...I have a bachelor degree as engineer so I'm decent with numbers, but does one needs to know and understand all the mathematics behind predictive analytics or just the main principles of how to use and when to use it? The math behind machine learning it could be pretty advanced and not just crunching numbers and curiosity... So, using R for example, do I just need when to choose linear discriminant analysis over linear regression and how to write this in R and how to interpret it? Or more than that? I see the advance of technology as exponential and soon enough all this will be done more reliable by a machine instead of a person and just the best of data scientists will be able to continue in the job. The gray area will not exist anymore. What do you think? Thanks Reply
vishwa
vishwa says: October 26, 2015 at 8:51 pm
Hello,, As for as I know data scientist and business analyst are two different career paths.How can we generalize the above steps to both the fields?I am doing MBA right now and I am confused in choosing my career between these two options.Please help me to choose the right one which suits my nature.I am an INTP personality as per the MBTI test.And also mention which one leads to BI career. Reply
Mayank
Mayank says: March 01, 2016 at 11:42 am
Hi Kunal, Thanks for this Blog !! My score is 58 and still an unable to decide what should i opt for .. i am working as a Business analyst from past 4 years. Key Roles and responsibilities: Requirement gathering, documentation SRS FRS, bridge between technical team and client, UAT, .. But now a days as i am looking into the market. Org. demanding technology driven business analyst (pl correct if i am wrong). Which is more imp Domain Business Analyst OR Technology Business Analyst? If technology Business analyst are good for long run than for which technology i should opt. Like SQL, SAS, Macros, analytics , etc Please enlighten me what should i do in terms of growth and knowledge. Thanks Reply
Sourabh1987
Sourabh1987 says: March 05, 2016 at 11:19 pm
i scored 15+15+20+15+8+9=82 Reply
Parvez
Parvez says: March 09, 2016 at 8:09 am
Hi Kunal, I got 72 acore. I have done MTech and data mining, text mining was my domain for research. My research work is published by IEEE XPLORE and Springer Scientometrics journal. I am working with MNC as a role of Support with 6 months of experience. Now I have got an opportunity of a role of Analyst analytics from other company. Should I go for it ? I want to be Data Scientist, so is it possoble to get this after some experience in Analyst role? Please Reply. Reply
Kamal Tanwar
Kamal Tanwar says: May 16, 2016 at 3:12 am
What exactly is a structured problem? Can anyone give an example? Reply
Parmanand sahu
Parmanand sahu says: July 31, 2016 at 9:08 am
I must say..good framework and I scored around 72.This blog is torching the light in dark sea for future analyst. Your blog is exactly what is relevant to indian context.you directly hit the bulls eye each time you write. But I must point it out as soren said there is quite gap between eligibility for business analyst and data scientist. It's more like what it is engineering to science. A business analyst should be able to coorelate and use the front end of tools where as data scientist play with advance mathematical stuff to bring out such algorithms. I want to thanks again for the framework and keep the good work going and guiding us. Reply
Ajay Ramaseshan
Ajay Ramaseshan says: November 13, 2017 at 3:22 pm
Hi Kunal, I got a score of 10+5+10+10+7+5 = 47. I know that s quite a low score compared to the many other scores that were posted, so I am not sure if I am downplaying myself, or this is really who I am. A little bit background about myself. I hold a Masters Degree in Machine Learning and Data Mining from Finland, and have been working in analytics industry in India for the last 3 years. I find unstructured problems that is ambiguity in business problems difficult to handle, and structured thinking tough, And I dont have great storytelling (telling stories from data and presenting insights) skills. These are the areas where I scored the lowest. Can you please give me tips to improve these weak areas? Regards, Ajay Reply
Srikanth
Srikanth says: February 28, 2018 at 3:38 pm
Even after 4 years of time This test stands good. Thanks It has helped me . Reply
Mandar
Mandar says: March 24, 2018 at 4:21 pm
Hi Kunal. I scored 64. What does this mean ? Where do I stand ? I am pursuing executive MBA from Symbiosis and working in a private firm. I wish to transition my career towards business analytics / data science. Where do I start ? Your reply will be highly appreciated. Thanks, Mandar. Reply
Faizan Shaikh
Faizan Shaikh says: March 26, 2018 at 11:13 am
Hi Mandar, As mentioned in the article "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." Your score is good, so you can probably attempt for a transition in data science. Reply
Dai Software
Dai Software says: December 02, 2020 at 10:42 am
Wonderful Blog. food delivery app development Reply

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