Are You Using Ample Data in Your Data Scientist Resume?

Whenever you apply for a job, your first fear is that the resume does not get thrown into the reject pile. Being a data analyst most candidates only list their job history as a long and dry catalogue describing in brief their curriculum vitae (story of your life) of the various positions they held at previous employer’s organizations. Some even outrageously create a table of marks that they scored on various important exams in life. But being a data person, you must not make this rookie mistake of listing unnecessary data.

Things can get harder if you have never held a job role as a business or data analyst before and you have no idea about what to write as the headline of your resume and how to justify your sudden change in career.

If you want to find out an honest strategy for creating an effective business analyst or data scientist/analyst resume without involving petty gimmicks or trickery or unhealthy exaggeration so, that you can avoid the reject pile for sure.

Here are a few tricks that will help you showcase your data analyst like job roles even if you have never had one.

Tip no.1:

A good data analyst resume does not need a catalogue of all your work history. You must learn to optimize even irrelevant job roles as data-driven roles. This is a common misconception among most job seekers who feel that all types of odd job roles must be listed in their resumes. So, the first secret you must know when creating a resume is that it is not a catalogue but rather a sales document.

And what is on sale? Your candidature!

Thus, this means that you must be selectively honest when writing down job roles, skills and experiences that you choose to include into your resume. The key is to optimize and present your resume in a way that presents your qualifications and skills in the best possible way for the job title at hand.

Tip no. 2:

Summarize with specific details so that your resume stays away from the reject pile. This is essential because most recruiters will only scan your resume and not really read it. So, there will be a few handful of materials that will come to their attention.

The first element of your resume that meets the eyes of the recruiter is the summary or objective statement. One of the best kept secrets of the job world is completely opposite to what most people believe. It may seem to the rookie data analyst job seeker, that a vague or generalist statement will work to open up more possibilities, but the reality is starkly in contrast. For a data analyst job profile highlight your analytical abilities and statistical knowledge in your resume objective or statement and get the message through crystal clear that you are qualified for the type of jobs you are applying.

But note that most recruiters also skip right through the objective part of your resume, so, make sure that the other parts of their resume also lures them in.

Let us discuss us how you can catch their eye with those parts...

Tip no.3:

Have your resume read by tweaking the old job titles. Chances are an average recruiter will skip right through your objective section and even the accomplishments part. So, where will their eyes stick? To your recent job titles! So, make sure they are in bold t help them stand out.

Another key point to be kept in mind is that your previous job titles must showcase your skills as the right ones for the types of jobs you are applying. So, if your previous job title reads something like this – Software Developer, Customer Support or Network Engineer, then chances are you will only be hired in such job roles. So, instead of being blunt tweak your recent titles within the bounds of honesty and accuracy. To do this, you must be more creatively honest.

For more tips and articles on how to apply to business and data analyst job roles and on Analytics training institutes in Pune for sharpening your analytical mind, visit DexLab Analytics.