You may have done a lot to place yourself on the career path for data analysis. But all that coursework, projects and experiences can secure a data analyst job only if they are communicated well to the recruiters. 

Since companies are in search of candidates who fulfil all the requirements for a specific job role, creating an impressive resume is key in getting you that dream job. And it’s natural to feel a little lost while preparing your resume. 

If you are someone preparing for your data analyst interview and are confused about how to build an appealing resume, we are here to help. Read this article to learn what to include in your data analyst resume and some tips that can help you stand out from the rest. 

What should be included in the data analyst resume? 

A solid resume contains all the relevant information that helps the recruiter assess your skills and get convinced that you are a good fit for the role. Since a lot of your data analyst interview questions will be based on what is written on your resume, it is crucial to not miss out on any important details. So, consider adding the following sections while building your resume. 

Basic Details

Basic information like your name, phone number and email address are required for every resume including the data analyst. Make sure that there’s no mistake in this information as if selected, your recruiters would contact you based on these details. Generally, the background information is added to the header or top of the resume. 

Profile Summary

Profile summary is the brief introduction that is seen at the beginning of the resume. Its purpose is to explain your professional profile within a few sentences by highlighting your skills, achievements and experiences. Writing a unique profile summary is key in grabbing the attention of the recruiter while skimming through several resumes. When writing your profile summary, make sure to add specific career details, and data about results and achievements and focus on the key skills that are relevant to job requirements.

Techical & Soft Skills

You can work in a variety of industries as a data analyst and each of them would require your mastery of analytical skills, soft skills and specialized expertise. You have to balance these competencies while highlighting those that are critical for the job you are applying for. Some important skills include: 

• Your knowledge of relational and non-relational databases like MySQL, PostgreSQL, MongoDB, Oracle DB2 and CouchDB
• Understanding of programming languages such as Python, R, C++, C and MATLAB
• Data visualization skills, together with related software such as Highcharts, FusionCharts and Tableau
• Good written and verbal communication and critical thinking are great soft skills for a data analyst role 

There are various data analytics courses online that can provide you with the required tools to master these skills. 

Experience

In addition to the skills, companies also look for the experience that the candidates bring. So, mentioning previous job roles and responsibilities and on-the-job skills can have a huge impact on the decision. If you’re a fresher, you can add your experience doing internships. When adding this information to your resume, remember to arrange them in reverse chronological order, that is, starting with the most recent role and then moving backwards. List a minimum of 4 responsibilities and outcomes and avoid any information that is not relevant to this position. 

Projects

If you happen to work on different projects over the course of your career, adding a separate section for them can be a great attraction to your resume. These projects are proof that you have practical knowledge about real-world data analyst problems and can validate your competence. List your project responsibilities and outcomes under the header “Key Projects”. This can improve your prospects of getting hired. 

Education & Certifications 

When it comes to data analyst positions, companies need candidates with specific qualifications. You can figure out the educational requirements that the employer wants from the job description. You can show your expertise in the field by adding job-related certifications. If you are a recent graduate with no prior experience, adding the education and certification section can be of great help. 

Tips to Draft Your Data Analyst Resume 

Here are some important tips that you can follow while drafting a data analyst resume:

Pick a clean resume template 

Choose a template that makes the data and information look presentable and scannable. While a solid resume will communicate the necessary information at a glance, it will not distract the reader with irrelevant elements. 

Make use of reverse chronological order

When highlighting the experience, reverse chronological order is the standard way to go. Starting with the most recent job role and moving backwards is the ideal method to display the career information in a data analyst resume.

Keep the resume brief

An ideal resume will be one or two pages long. While organizing, keep basic details, profile summary, skills, experiences and education to one page and add the project section on the second page. 

Proofread

Make sure that your data analyst resume is error free by checking for grammatical, typographical, and punctuation errors.