Applicants for data analyst positions need to take the time to make sure that their CV is of a sufficient standard. A CV is the first port of call for potential employers, and will therefore help to form their initial impressions. There are several things to consider when creating a CV for data analyst jobs.
There are several general things that need to be considered in any CV, and they're just as applicable here. Firstly, it's important to ensure that it is proof-read by someone other than the applicant to ensure that any spelling or grammatical errors are caught early: in these days of high competition, employers will look for reasons to take an applicant out of the running, and these errors are definitely one of the ways they'll do so.
It's important for the CV to be concise. One fairly common mistake amongst applicants is making their resume too long. No CV should be more than two pages long. In the current jobs market, employers are receiving hundreds of CVs for some job, and simply do not have time to read more than that. Applicants should focus on only the most relevant skills and experience that they have.
Our tech recruiters reveal their most important CV writing tip here:
Data analyst job specifics
It's important for applicants to present only information that is relevant to the role that they're applying for, and to cut out anything else. The hiring manager wants to see CVs from applicants that can demonstrate a proven record of success in a similar role.
In this role, an applicant should be able to demonstrate a number of skills. Firstly, they should be able to show that they have extensive levels of expertise in computer systems and IT, as well as aptitude for mathematics. Obviously, the ability to work with substantial amounts of data, and to be able to streamline it and then present it is vital. It's also important to show the ability to work with little or no supervision, and to be able to assume responsibility.
Communication is another vital skill, as data analysts will likely have to liaise with a variety of different departments. To this end, it can help to be able to demonstrate experience of conducting presentation. Applicants should also be skilled in using a variety of database software programmes such as Oracle, MS Access and Excel and methodologies such as OOAD, UML and RUP.
Qualifications are also important, both in educational and professional terms. Data analysts will usually hold a degree in some form of computing or mathematics (computer science is quite common) so if the applicant possesses one they should make it obvious. Any professional qualifications should also be emphasised.
As with all CVs, the most relevant and recent employment periods should be front-and-centre on a data analyst's resume. As well as listing companies and dates, an applicant should summarise concisely the duties they carried out for the company and list any notable projects they worked on whilst in the position.
Other roles should be noted on CVs (in order to remove concerns about employment gaps), but no detail is required unless asked for. Again, periods of education should also be noted, especially if they're relevant to the data analyst position.
As a general rule, the more relevant to the position a period of education or employment is, the more emphasis should be placed on it.
If you're already through to the next stage, you may wish to read through our data analyst job interview questions and tips.