The World Economic Forum ranks data analytics #1 among the fastest-growing jobs. Opportunities are plentiful, it is clear. However, there is a lot of competition for these great opportunities. Your resume must stand out among hundreds of other qualified candidates for every open data analyst position. Although they may read hundreds of resumes per day, hiring managers and recruiters spend an average of 7.4 seconds reviewing each one. This is a very short time to grab their attention. This blog will help you create a strong data analyst resume that communicates your highlights clearly.
What should you include in a Data Analyst Resume?
A resume for a data analyst should highlight the individual’s business acumen. It will feel like you are lost in an endless orchard of apples, not knowing which tree to shake to get what you want.
Summary of Resume.
A data analyst’s summary should include three key points: industry knowledge, business acumen, project wins, and industry expertise. Are you able to explain your knowledge and make the company more profitable? Your summary should highlight your unique qualities and distinguish you from other candidates. Most likely, they will be merely listing their analytical skills. Your true value is revealed when you speak about your role as a conduit between data and colleagues. You can quantify your mad data skills by describing the impact of your projects on the direction and profitability of your company.
A Section on Employment History.
Your employment history as a data analyst must focus on the details of your data analytics work. It’s not worth talking about the skills you have if you don’t share the results. Keep it simple and focus on the most relevant projects for your future employer.
The field of data science has changed significantly over the past four to five years. Experience from an earlier career is no longer relevant. Your progression can be shown by the number of data-intensive projects you have been involved in and the size of those projects.
Choose the best Data Analyst Resume Format.
Data analysts will prefer to present their employment history in a reverse-chronological format. This means that you list your current or most recent job first, and your first job second. This will highlight your most notable credentials if your career path has taken you to better jobs.
Internships & Projects.
You won’t have any job experience if you are just starting your career. Focus instead on details about internships and projects that are relevant to your role. These can be done alone, as part of open-source projects, or during boot camps. What matters is their relevance to the role.
Tips for Creating a Data Analyst Resume.
- The resume should be a summary reel and not a detailed, blow-by-blow account. Only include the most important and necessary information.
- Avoid accumulating too much experience. Stick to the most relevant and current pieces. Highlight your career growth. Highlight the impact made.
- Include any relevant experience that you have, such as side projects or internships. You should show your passion for the subject.
- Make sure you use a clean format that is easy to read, even on your mobile device. Pay attention to line spacing, and font size.
- If you have the opportunity, or if your organization values them, you can include personal interests and extracurricular.
- So that the narrative is yours, provide hyperlinks to your portfolio, projects, and professional profiles.
Keep your Resume to one page. Remember that recruiters only spend 7.4 seconds per page! These are some excellent examples. Make sure to leave enough margin and white space for your resume to be legible. Linking to more items would be a great idea if you have them.