How to Write Data Analytics Resume?

Here are some interesting tips on how to write your Data Analytics resume

Are you interested in data and numbers? You should consider a career in data analysis. Over the past few years, we've seen a surge in demand for data analysts. The job requires analyzing, collecting, and storing data to produce key metrics that will help management make better and informed decisions. Getting a job as a data analyst at a reputable company requires experience, a strong educational background, and the skills of an analyst. The structure of your resume also plays a crucial role in getting you the analyst job. Keep the below tips in mind when crafting your resume for a data analyst position. 

Choose the Right Format

The format can mean the difference between a good and a great data analyst resume. There is no ideal format for this position, but most people follow the reverse-chronological format. On average, the HR manager will spend seven seconds on your resume. And, they will not even go beyond the contact section if the format looks unprofessional and cluttered. Use short and easy-to-understand subheadings, whitespace, and bullet points. If you are not sure about the format, use a built-in data analytics resume format online. It's a ready-made template with all the sections arranged in the right order. 

Contact Information

Earlier, resumes included the applicant's address details. It would consume considerable space. Plus, this information is useless in today's remote and hybrid working model. The only contact information you need to present includes your mobile number, link to social sites, and email address. Add your city name or Pincode if it's a local job. Considering the amount of time an average manager spends on one resume, it makes sense to write more about your experience, qualifications, and skills.

Write a Short and Concise Summary

A summary helps a manager decide if they should continue reading. It is the key part of a data analyst's resume. Not only does it show your expertise, but it shows your professionalism and dedication. The summary should describe who you are and what you do in 20-30 words. Here's an example of a good and bad summary. 

Good

Experienced and dedicated data analyst. Strong technical and computer skills with an MBA degree. Completed 4 years of training as a software engineer. 

Bad

I am a professional data analyst with a history of working at an IT company for over 10 years. I have completed my bachelor's degree in accountancy. I am passionate about helping businesses grow. 

The summary should describe you as a professional, team-driven, and passionate candidate for the job. The summary should go right below your contact information. Think of it as a short description of your qualifications, work experience, and achievements. 

Include the Right Skills

Skills must be added in the bullet form so that they are highlighted in your resume. A data analyst is a technical job, so make sure you add the technical skills that your employer needs in their ideal candidate. Here are a few popular skills you can add to your data analyst resume:

• Business Intelligence

• Logic and Analysis

• Survey Creation

• Tech Support

• Programming Languages

• Risk Management

• Data Mining and Data QA

Add softs skills too. This includes reducing jargon, creativity, good communication, leadership, team-driven, and risk assessment.

Highlight Your Achievements

This is another important section that describes your work experience and the results you have achieved so far. The biggest mistake when writing a resume is copying the experience from old job ads and pasting it into your data analyst job. As a data analyst, you are supposed to work with numbers. 

The job requires data mining, decision making, reports and analytics, and other technical work. It's important that you mention your achievements, work experience, and how you helped your previous company grow. Mention your hard work and its outcome. If you achieved an award for your performance, mention that too. But, don't add details that are irrelevant to the job description. 

Conclusion

A well-written and properly structured data analyst resume may not guarantee you a job at the company, but the HR manager will most likely shortlist your resume. It increases your chances of securing the job. Follow the above tips for writing a great data analytics resume.