Why writing a data analytics resume demands your undivided attention You are really passionate about data and technology. So, you have been looking for jobs that fit your passion as well as your job description. The good news is that any career in data analytics is headed for exponential growth, considering that this is still a growing profession. The perks of an analytics jobs are plenty too, especially for someone who is passionate about it. On the other hand, the bad news is that there is a growing number of qualified individuals. This means that competition is quite stiff. In addition to this, having the skills is not enough. You must be able to effectively communicate your appropriateness for the role as advertised to the company which is hiring. This is why you have to take the task of writing a data analytics resume extremely seriously. 10 tips for writing an analytics resume With the seriousness of this task in mind, you can begin to draft your resume. To ensure a well written end product, you must: Prioritize the format – as they say, appearance is everything. At first glance the hiring manager should see a well formatted document that uses the correct font (nothing less than 10pt for readability) and appropriate font color for an official document. Include contact information – this might seem obvious to some, but it’s not as basic as it sounds. You should avoid email addresses that have unprofessional words. You must include contacts through which you are sure you can be reached. Decide whether you need to include a resume summary or resume objective – what’s the difference between the two? A resume summary basically highlights the relevant skills, experiences and accomplishments. A resume objective on the other hand works for those with gaps in employment history or minimal experience. It simply tells the employer who you are and the skills that you bring to the table. Describe your experiences as a Data Analyst – if you are writing a predictive analytics resume, make sure to have achievements that fit the role. The point here is to tailor make your achievements to be relevant to the job you are applying for. This does not mean you should lie, it simply means that you should bring out the aspects of your achievement that relate to the job. Do not forget the education section – this is an essential component of the resume as it shows how you learned your skills. Start with the highest degree and phrase this section in a way that is relevant to the job. Have a section for technical skills – like any other technical job; applying to become a data analyst requires that you also focus on technical skills. Which software and databases are you proficient in? You might want to mention programming languages, data visualization and reporting techniques, statistical methods etc. Make your resume unique by having a few extra sections – as earlier mentioned, you have to stand out from the crowd. For example, while drafting an analytics consultant resume, include relevant conferences you have attended. Be brief – we have addressed quite a number of aspects your resume needs to have. This is not an excuse to have a 10 page resume. Keep your points as brief as possible Proofread – grammar and sentence construction errors will definitely eliminate your chances of being the ideal candidate in the eyes of any hiring manager. Take some time to proofread your work. Hire a professional to write data analytics resume for you Even with the 9 tips to guide you, you might still find it challenging to draft a resume that you feel confident in. Having the skills is one thing, putting them together on paper in a presentable format is another. This should not worry you. Our service has skilled professional who have many years’ experience in writing technical resumes. Need a high quality resume for that data analytics job? Simply contact us today to hire a writer that will draft high quality, focused and relevant content for your resume.