Analyst Resume Templates

If you’re looking for a new job, a template like this data analyst CV template will surely come in handy. Read on and find out how to avoid the typical mistakes and build a successful resume with this data analyst CV template.

What is an Analyst Resume?

Ideally, to properly develop your resume from this data analyst CV template, you should develop a simple and concise text. Recruiters don’t like dealing with lengthy documents, not because they’re lazy, but because they have to read hundreds of resumes a day.

Along with the restrained length (no more than two pages is recommended), it is also advisable to be modest on the subject of colors and the format of the curriculum. The less the superficial attracts attention, the better, more than anything because what has to hook the reader is your professional information.

In this sense, it is convenient to introduce the experience as soon as possible, leaving other less important sections for later. In this way, you will increase the chances of getting an interview before the recruiter runs out of the required ten seconds.

Your odds will increase if you make it easier for them to read, something that you will achieve by using a classic typeface. The most used fonts, and with which you will never be wrong (as long as you do not go over 12 points), are Arial and Times New Roman.

Also take care of other aspects that influence the presentation, such as spaces or margins, which should always be wide. Likewise, it is advisable not to go overboard with bold, underlining or italics, as they can hinder the reading of the document. The best thing is that you limit its use to subtitles and little else.

Just as important as what you say is how you say it, so also pay attention to the tone and vocabulary you use in creating your resume. They must always be neutral, but without becoming cold, always transmitting dynamism by resorting to action verbs.

How to Write an Analyst Resume

By following these tips when developing the CV template for data analyst you have much of the way to the job interview, but be careful, because mistakes can be made that can take you off the road. There are many mistakes, but perhaps the most serious is lying.

It is often said that everyone lies a little on the resume, but only honesty will lead to success. Other gentler but equally destructive mistakes are spelling. Errata are deadly for your candidacy for two reasons: they give a bad impression and convey little interest, since avoiding them is as easy as doing a review or using an online proofreader.

There are also cases in which the curriculum is perfect but a minor error has put the author of the same without work. The clearest example is providing an inappropriate form of contact, such as an informal, old or out of service email.

Example of Analyst Resume

Data analyst with six years of experience in the financial sector working with databases of various kinds, mostly focused on predictive analysis, the realization of linear models and visualizations. Great ability to solve problems. Serious, formal and very meticulous. Highly committed to the image and values ​​of the company where I work.

Work experience

February 2015 to November 2016. Data analyst at Banco Santander (Bilbao).
– Configuration and maintenance of databases.
– Operation of the bank’s data warehouse.

August 2013 to November 2014. Database analyst at Telefónica (Madrid).
– Extraction of commercial information.
– Data analysis and reporting.
– Generation of sales simulations

July 2011 to February 2013. Consultant at CaixaBank (Barcelona).
– Implementation of action plans.
– Data analysis of financial products of the entity.
– Development of data analysis software.

June 2010 to February 2011. Data analyst at BBVA (Barcelona).
– Preparation of reports on financial trends.
– Management of strategic data of the entity.


  • September 2009 to June 2010. Master in Mathematics for Financial Instruments. University of Barcelona.
  • September 2004 to September 2009. Degree in Economics. University of Barcelona.


Spanish: native competence.
English: professional competence.

Professional skills

  • Risk calculation skills in financial products.
  • Data collection and management skills of the European banking sector.
  • Ability to lead and coordinate heterogeneous work teams.
  • Strong oral and communication skills in professional settings Digital skills
  • Deep knowledge of Microsoft Office and MS-Access databases.
  • Mastery of computer applications for data management and storage.
  • Management of different databases (Oracle, SQLServer).

What does the resume of a Data Analyst have to be like?

The career of a Data Analyst looks promising – good future job prospects and good pay. These are some tips to shape your resume and find a job in this sector.

Training in the curriculum of a Data Analyst

This profession, also known as “Data Analyst” or “Data Scientist”, is relatively new, so programs aimed at training experts in Big Data are scarce. Although there are some university degrees aimed at data analysis, it is very common to find Data Scientists with profiles related to mathematics, computer science, statistics or some engineering, or even some trained in social sciences.

The most common thing for those who want to work as Data Analyst is to take master’s degrees or courses on data processing, as specific training. For this reason, it is very important to include courses or other complementary training programs in the curriculum of a Data Scientist.

Skills on a Data Analyst’s resume

To look for a job as Data Analysts, there are some skills that will help you boost your profile and you should include them on your resume.

  1. Computer languages. If you have previous experience in the field of computer science, include the computer languages ​​you master in your resume. Some of the most requested for Data Analyst are Python or Javascript.
  2. Teamwork. A Data Analyst must be able to maintain good communication with the programmers and the Business Intelligence team, which is why the skills for group work are highly valued in this profession.
  3. Analytical ability, curiosity and innovative thinking. While the ability to collect and analyze data is imperative in this job, a Data Analyst must maintain their ability to be surprised and their desire to learn, because these soft skills will help them to give a social purpose to data.