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Which 8 Personality Types best fit Analytics Roles?

Most commonly, analysts share two primary traits; they energize imagination (N), and use logic for decision making (T).

Mayer and Briggs Type Indicator (MBTI) creates sixteen (16) personalities, each corresponding to a unique set of four (4) ‘preferences’ that make individuals follow specific job roles.

Within these, we identified eight (8) personalities that best fit data analytics job roles

This blog highlights those eight (8) personalities and describes these special traits that help individuals pursue excellence in analytics jobs.

Note: The blog offers personality insights for following Data Analytics job roles: Data Scientist, Big Data Analyst, BI Developer, Data Engineer, ML Engineer, and Business Analyst.

How does it works?

MBTI personality type indicator

When Mayers and Briggs, the mother-daughter duo, began studying human personality, they found out that an individual’s preference towards life can be near-accurately described with four indicators.

These 4 MBTI dichotomies are as follows:

1. Favorite World: Do you prefer living in the outside world? (an Extravert), or do you like to stay inside yourself? (an Introvert).

Helpful questions:

Do you like to surround yourself with people? Or you instead focus on your ideas and thoughts?

In other words, are you action oriented? Or thought oriented?

2. Information: Do you prefer taking information as it is? (Sensing), or do you interpret and try to add meaning to it? (Intuition).

Helpful questions:

Do you make sense of information by seeking stated facts? Or do you challenge the facts and try to see from a new and different perspective?

In other words, do you use all five senses in interpreting information? Or do you go with an internal feel (ideas and theories)?

3. Decisions: When making decisions, do you prefer to see the logic? (Thinking), or do you prefer seeing special circumstances and people around you? (Feeling)

Helpful questions:

Do you consider facts while making decisions? Or do you take an emotional approach for making decisions?

4. Structure in Life: In dealing with the outside world, do you prefer to follow rules, and things decided? (Judging), or are you open to new ideas and options? (Perceiving).

Helpful questions:

Do you plan your days, months, and years? Or do you take action at the spot?

Based on the above unique preferences, an individual is mapped in one of the total 16 (4×4) personalities. 

Take the MBTI test and find out your personality!

Which Analytics Roles suit my personality?

MBTI personality for data analytics, engineering, data scientist job roles

We picked eight (8) personalities that closely match the skillset of an analytics job role.

Following are the key patterns that justify the analyst’s preferences.

Intuition (N) and Thinking (T) are primary traits.

Both intuition (N) and thinking (T) are key pegged to a data analytics job role. 

Intuition drives and energizes imagination, intriguing analysts to explore data deeply. 

Thinking allows them to take a logical and objective approach towards decision making, fulfilling the ultimate goals of data analytics.

An example of data analyst job role is in data engineering scenarios where there’s raw data in hand which needs to be enriched using techniques such as ‘data transformation’, ‘data modeling’, and ‘machine learning’ to drive useful value. 

You might want to read about the ‘data analytics ecosystem’ here!

NTs Job roles:

  1. Within Data Science: Machine Learning/Deep Learning Engineer
  2. Data Engineering
  3. Business Intelligence

Sensing (S) and Thinking (T) also work well.

Unlike Intuition (I), having a Sensing (S) traint means that you accept the state of information as it arrives to you. You would avoid going outside the box to explore the depths of it.

Rules and organized activities suit best to STs.

This behavior when combined with Thinking (T) dimension offers you to take a reasonably logical approach towards analytics work flows.

Introversion (I) and Extraversion (E) further narrows down career options.

Whether it’s introversion or extraversion, you will make a good data analyst. However the roles may change.

For example, extraverts (E) prefer a work environment where there’s a lot of talk with people. They will not hesitate to schedule meetings, and create a resilient and productive communication flow within the work environment. 

Though both preferences have a better insight regarding the customers they are working for and are passionate in knowing their concerns at a deeper level, introverts (I) prefer working alone spending most of the time in thinking about their work, rather than participating in communication with the team.

An extrovert might prefer working for the following roles (preferably more suitable for senior roles):  

  1. Business Analyst 
  2. Marketing Analyst
  3. Data Analyst/ BI Developer

Introverts (I), on the other hand, are more likely for other roles that require less people dealing and more intellect on getting technical things off schedule.

These include:

  1. Machine Learning Engineer
  2. AI and Deep Learning
  3. Data Science
  4. Data Engineering

Perceiving (P) is well suited for advanced analytics roles.

Individuals with perceiving (P) quality are open to new ideas are more likely to excel in challenging work roles.

Advanced analytics roles offer a perfect scenario to fulfill their needs: 

  1. Machine Learning (Deep Learning)
  2. Big Data engineering

The quality of perceiving (P) demands work roles that don’t have well defined rules and challenges individuals to use innovative approaches to solve problems around them.

Intuition (N) with Perception (P) thrives creativity.

Another interesting pattern in analysts personality is intuition (N) with perceiving (P).

These are characterized as creative. They mix their insight on data with new ways of achieving an outcome.

Best analytics job role for this category are:

  1. Business Intelligence Developer
  2. Machine Learning Engineer
  3. AI and Deep Learning

We help individuals from any professional background, initiate a career in Data Analytics. Learn about our services at Dice Analytics.

Sources:

Ashley Stahl, (2017), What your myers briggs personality type means for your career, Forbes.

Mayers Briggs Org, My MBTI personality type.

Think Insights, MBTI – Understand your personality type

16 Personalities, Roles: Analysts 

Ayesha
Ayesha
I engineer the content and acquaint the science of analytics to empower rookies and professionals.
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