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Wtorek, 18 lutego, 2020   I   Konstancji, Krystiana, Sylwany

Writing a competent data analyst resume

    18 lutego, 2020

Resume is necessary even for the strongest specialist when looking for a job in the field.

The fact is that although the decision is made after personal meetings (interviews) with representatives of the employer, you must first get to the interview, and you can't do without a bright resume.

A resume for an analyst is able to compose any competent specialist, but often applicants approach the question carelessly, and then are surprised when they get a negative result.

If you read a variety of samples of an analyst's resume to a bank or other organizations, it seems to beginners and even experienced job seekers that it is very easy to compose a document.

Underestimation is probably due to the small size of the form, a few sections of 3-5 items, but the difficulty is that here you need to squeeze in as much information as possible.

There is a kind of "trap", especially for experienced workers: they have something to tell about their successes, but employers do not even look through lengthy documents (several pages long).

At first, the "smart" program looks through all the resumes, selects the documents that match the requests, and the headhunter continues to work with the selected resumes.

That is, the most skillful analyst can "fly past" the vacancy if he does not specify key skills in his resume.

Fortunately for newcomers or analytics aces, recruiters themselves give advice on how to write a competent data analyst resume, and the job seeker's task is to follow them, filling out the document correctly.

Just submitting a good resume isn't enough - you have to send your best version to the employers so that the skills and abilities interest them.

The form in Word or any other text editor should be:

  • structured;
  • well readable;
  • concise.

In general, recruiters want to see analysts have these skills:

  • Analytical. The ability to work with large volumes of all kinds of data.
  • Mathematical. There is not much to explain.
  • Communicative. An extremely useful and rather rare skill, when a person does not simply draw conclusions, but is capable of explaining them in an accessible way to laymen.
  • Technical. Possession of programs, programming languages, visualization methods, etc.
  • Creative. Using new approaches to solving problems.

Even if a young specialist with no experience responds to the vacancy, he should describe his personal skills, listing all the programs he owns and used in the development of at least course projects or theses.

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