Five habits of highly successful analysts

Kunal Jain 27 Aug, 2021 • 5 min read

I have interacted with various successful analysts over last 7 years. During these interactions, I found out some common habits in them. After observing these habits, I have tried ways to inculcate these habits myself. Some of these habits were also emphasized by my mentors, while the others were learnt the hard way!

analytics, business analytics, data science

This article lays down 5 habits I have observed in highly successful analysts and provides some of the ways in which I practice these habits. On one hand, I hope that some one should have made me aware of these habits at start of my career and the long lasting impact these could have. On the other hand, these habits have helped me immensely and I hope they will do the same for any one adapting them:

Habits of successful analysts

Habits of successful analysts

[stextbox id=”section”]Habit 1: Keep high bar on project delivery. Walk that extra mile and deliver your best[/stextbox]

Quality thinking differentiates a high performing analyst from a low performer. Successful analysts provide enough quality “brain time” to any project they deliver. By brain time, I mean distraction-free time devoted to analytical problem solving. This is the time when you strive for going beyond what is expected. This is the time when an analyst asks some of these questions to himself:

  • Is there a better way to structure this problem? Will that make the solution better or more intuitive for business?
  • Is there a better way to present / summarize the findings of the project? How can I visualize the outcomes in best possible manner?
  • Instead of simply highlighting the insights from a project, can I use these insights and chalk out business actionables? Can I size the impact from these actionables and tell them to business upfront?
  • Is there any aspect of analysis I might have ignored?
  • Is there any implicit assumption I have made which is impacting the result?

Remember, the value of analytics is recognized through the value it generates for the business and the amount of time spent asking these questions will have direct impact on the business value created.

There have been times when I have changed the presentation flow, performed additional analysis, verified and re-verified all the numbers / insights till the night before project presentation. All of that is done to make sure the project creates the impact it deserves. And, nothing beats the feeling you go through after creating that impact.

So, don’t leave any stone un-turned and make sure there are no gaps in your thinking on every project you work on.

[stextbox id=”section”]Habit 2: Segment, till you can![/stextbox]

Successful analysts never work on averages. Every time they see an average, they think if there is an underlying segmentation at work, which could explain things better? By not segmenting the average, there is value left on table. Successful analysts never do that.

This article contains various examples and the way to create a segmentation.

[stextbox id=”section”]Habit 3: Triangulate numbers, perform back of the envelope calculations and think what do they mean for business[/stextbox]

As an analyst, you deal with numbers day in and day out. You need to pick out that one cell in which the formula is wrong from a file containing thousands (if not millions) of formulas. The only way you can do it is by triangulating numbers and by making sense of what they mean for business.

While this might sound obvious, you will be surprised to see the number of times this is overlooked. While triangulating numbers deserves a post in itself, I’ll briefly mention some of the questions I ask to triangulate numbers:

  • Ask yourself, can I reach this number through a different framework / calculation? Do the numbers tie up or they are different by a magnitude?
  • Are there process dependencies which can give you a sense of numbers? Can you issue 2000 credit cards every month, if you only get ~1800 applications every month?
  • What do these number mean for business? Do they tie in with the infrastructure and resources business has?

Triangulation is like any other skill, it will look difficult to start with. But the more you practice, the better you become at it.

[stextbox id=”section”]Habit 4: Test out your hypothesis (even if you think they make complete business sense)[/stextbox]

There are times when you tend to overlook the need for testing. Just adding a live chat functionality to your website? Sounds like a good thing to do with no down side. Test it out and you will know. The customers might not like it! Here is another example:

One of the leading travel portal in India saw this in their data: 90%+ flights booked have departing location same as city from which tickets are being booked (determined by the I.P. address). They thought of making this location pre-populated (obviously with an option to change). This sounds like a nice idea which would help provide a better customer experience. Thankfully, they tested it out. Booking conversion dropped by double digit percentage with in weeks of making this change. Possible reason: The customers are used to filling To and From location. Removing one of them adds to the confusion.

So, next time if you are implementing results from any analysis or hypothesis, test it out!

[stextbox id=”section”]Habit 5: Learn something about analytics everyday[/stextbox]

While this habit will not bear immediate results like other habits mentioned above, you will benefit the most from this in long run. Analytics is a dynamic and evolving field. A new tool / technology / update arrives almost every 2 – 3 months. Being up to date with latest updates in industry helps not only stay on top of it, but creates a huge gap from analysts who don’t stay updated.

Some of the topics I enjoy reading whenever I get time are:

  • What are the latest developments in Big data?
  • How to analyze unstructured data from Social media? How can we make visualizing this better?
  • What are the statistical concepts behind the algorithms used by various tools?
  • How can you design and analyze a design of experiments?

The list is endless.

Start reading and you are bound to run out of time!

Additional Habit: One additional habit worth mentioning is “Being customer centric”. Hearing what the customers are saying and keeping that in mind is a trait of every successful professional. The same applies to an analyst. Since it is not an analytics specific habit, I have not mentioned it in the list.

While the list of habits could have been lot longer, I have deliberately restricted it to 5. If you think any other habit, please add them in comments.

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Kunal Jain 27 Aug 2021

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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Responses From Readers


Zahiruddin Khazi
Zahiruddin Khazi 30 Sep, 2013

Hi Kunal, All 5 habits successful analysts put into place. Question lingering in my mind that a project awarded to a develop a application to a company, without knowing the strength later it was noticed that they do not have domain expertise totally different domain from (Financial to Telco). So my question is how segmentation comes into effect in these type project scenario. Pls. Comment. Thanks and Regards, Zahiruddin Khazi

Anvesh 08 Sep, 2014

Nice article! Interesting tidbit about the travel website!!

kumar 11 Sep, 2014

Hi, very useful post indeed; looking for a separate post on "triangulating numbers" with some real life examples. please share the link if its already there. thanks,

Abhinav Mishra
Abhinav Mishra 02 Nov, 2014

Dear Kunal, Nice read! I would like to go one step ahead- How to measure analyst's performance ? Would like your input in designing the performance evaluation criteria-KRAs with target for the team members working on business analytics project and also doing standard reporting. Could you please suggest few relevant , effective and measurable KRAs to guage one's performance in order to recognize people performance appropriately and unbiased. Any input on this subject is welcome. Thanks in anticipation. Brgrds, Abhinav

Barbara 03 Aug, 2015

Hi Kunal, Thanks for the nice summary. One suggestion. When you say: "an analyst asks some of these questions to himself", it would be better to say "an analyst asks some of these questions to himself/herself", as there are also female analysts. Thanks