Data Analyst Resume - Guide & Examples for 2022

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Last updated on
18th Jul, 2022
14th Jun, 2022
Data Analyst Resume - Guide & Examples for 2022

Data analysts have gained the upper hand in technology these days. Several major corporations have vast amounts of data on hand, and they are constantly looking for new ways to use it to make business choices. This task is, nevertheless, never easy. They not only need to clean, process, and analyze their data but also turn that data into meaningful insights. This seems like a job meant for a perfect data analyst. In 2022, almost every company needs a data analyst to figure out the ideal data strategy.  

Of course, getting a job as a data analyst is not an easy task. However, with the right strategy and resume, you can nail it. You must have what it takes to create an ideal resume and carry out your resume's data analyst interview questions. The first thing that a recruiter looks for in a candidate is a well-crafted resume as the employers use your resume to dig up an extensive apperception of your skills, potency, and experience.  

Your resume is more than just submitting your educational background or achievements. It’s, in fact, a critical component that gets you ahead in the competition and position you are aiming for. It needs to be factual, descriptive, illustrative, and to the point. As a data analyst, you have to determine how to format your resume and what crucial information to include. Creating a resume can be tricky if you do it first. That’s where we come in. This guide here holds vital information on building an ideal data analyst resume. Read further. 

Moreover, if you join a professional course, the faculty will help you create a resume. So, it is fruitful to check the data science online training at KnowledgeHut and decide which one you want to do. 

How to Format a Data Analyst Resume?

You have to keep a close eye on the intricate details of your resume while making an ideal data analyst resume. According to a survey, many hiring executives only spend 7-10 seconds looking at each resume. Just being good is not going to do you any justice. Your resume has to be nothing lesser than perfect so that the recruiter notices your skills and experience in the field and considers you for this role.  

Use easily readable subheadings, white space, and clear and legible fonts on your professional resume for a data analyst position. Do not send a doc link to your hiring manager. It is highly recommended that you save your resume in PDF format. It saves time, but it helps the recruiter go through your resume quickly. There are times when your interviewer might get impressed by your format and call for an interview, so you have to be prepared for every data analyst interview question and answer.  

There are three formats for creating a resume- Chronological, Functional, and Combination. For a data analyst position, it is recommended that you choose the Chronological format. Create a rough proposal and highlight your major and reverse-chronological features over everything else. This format makes your skills and experience shine, which is the first thing that a recruiter notices.  

What to Include in a Data Analyst Resume?

There are specific skills and information that you must include in a Data Analyst resume. Apart from your skill set, your resume should have your updated contact information, correct educational background, work experience, resume summary or objective, and but not necessarily, your certifications (if any). You should never mention any false information as your recruiter will ask about your qualifications and certifications in your data analyst interview questions.  

How to Correctly Display Your Contact Information?

Earlier, resumes had to have your full address. However, that is not the case anymore. It is appropriate to showcase your city and region instead of your full address. You can mention your email address, updated phone numbers, and city or state. Some resumes might also have a link to the candidate’s LinkedIn address. Avoid unnecessary details like your social media profiles and your unreachable contact details.  

How to Write a Data Analyst Resume Summary or Objective?

Another important aspect of a perfect data analyst resume is its summary or objective. You might want to write more and add everything you do or are capable of doing, but that’s where you do it wrong. Your resume summary has to be precisely short, optimistic, and understandable, if not anything. It’s a key segment of your resume as if a recruiter is interested in your skills and experience; they are most likely to check out your summary and objective to understand your profile further. Your summary must include a short pitch explaining your enthusiasm, team and task orientation, and responsibility. It would help if you wrote who you are, what you do, and what you can achieve. You can also enrol for an online data science bootcamp duration to add more skills to your resume and get benefited. 

How to Make Your Data Analyst Work Experience Stand Out?

Always remember that your resume is just representing significant highlights of your career. It does not have to be comprehensive or elaborate. You should include what is necessary and what you think can leave an impact on the recruiter. If you have a lot of experience, include only the recent ones. Furthermore, you can highlight your experience and career growth.  

What If You Don’t Have Work Experience?

If, in case, you don’t have much experience, you can showcase all the relevant experience, including side projects, assignments, internships, and certifications. The recruiter should get an idea of your interest in the data analytics department. If you have extra space, fill it with any extra-curricular activities or volunteering that you may have accomplished. However, it would be a plus point if your curricular activities or volunteering are relevant to the company you’re applying to. Furthermore, you can add hyperlinks to your published works, projects, certificates, or LinkedIn profile so that your employer can get a clear idea of your experience.  

How to Correctly List your Education?

According to Indeed, the most relevant educational information you can put on your resume are-  

  • The name and location of your school,  
  • The degree you attained,  
  • Your field of education,  
  • Your graduation year,  
  • Your GPA (if it’s above 3.4),  
  • Any academic honor, recognition, activities, or assignments.  

Generally, recruiters look for any relevant educational background necessary for the job posting. In this case, any education that enhances your skills as a data analyst is appropriate. Thus, you should list every intricate detail that showcases your educational information related to this background.  

Top 17 Skills for a Data Analyst Resume

To nail your data analyst resume, you ought to have these specific skills mentioned in your resume-  

  • Logic & Analysis 
  • Problem-solving and troubleshooting 
  • Relational databases (MySQL) 
  • Statistics & Probability 
  • Tableau & Qlik 
  • Data Mining and Data QA 
  • Business Intelligence (BI) 
  • Programming Languages 
  • Database Origin and Management 
  • Sharepoint and Advanced Microsoft Excel Functions 
  • Tech Support 
  • Regression Analysis 
  • Data Science Research Methods 
  • Data Warehousing 
  • Quantitative Methods  
  • Survey Creation 
  • Experimental Design & Analysis 

You can also include your big data certification course in your resume if you have any. 


Now that you have all the essential pointers to create a faultless data analyst resume, you can make it more compelling and easily readable by creating a draft and then putting what is necessary. You think you will make a more significant impact on the recruiter. Make sure you have also prepared an excel interview questions for the data analyst session to have every answer on the tip of your finger. To ease things for your interview, it is advised that you keep a note of data analyst interview questions and answers in pdf format and recheck it time and again.  Writing a resume is as easier as taking a walk or writing an essay so that it can land you the desired position in a company.  

Frequently Asked Questions (FAQs) 

1. What should a data analyst put on a resume? 

A data analyst must include a header section that includes your contact information, job title, LinkedIn profile, country or city, professional experience that includes your work experience and relevant educational details, and a perfectly crafted resume summary. 

2. What are the basic skills required for a data analyst?

Some of the basic skills required for a data analyst are SQL, Jupyter, Google Analytics, Python, Tableau, and Qlik. You should list your key skills in bullet points and make sure you don’t include soft skills in your resume. You should be well prepared for sql interview questions for data analysts if you have mentioned SQL as a skill in your resume. You can opt foKnowledgeHut’s deep larning course  to enhance your skills for your data analyst interview questions and answers session. 

3. What is the career objective of a data analyst?

The career objective of a data analyst must include your personal statement that labels the specifics you intend to achieve through your professionalism and that you seek a challenging position in your role as a data analyst. Your career objective showcases your usage of technical and analytical skills. Thus, the career objective of a data analyst is to highlight every relevant detail necessary to land you an interview or a job as a data analyst. 

4. What is a good objective for resume examples?

Some of the perfect examples of resume objectives are-  

  1. To obtain an arduous rank at a reputable firm where I could enhance my knowledge, abilities, and learning. 
  2. Find a reasonable career opportunity where I can put my training and skills to good use while contributing to the company's success. 
  3. I am looking for a training and development position in a high-level professional atmosphere to start my career. 
  4. To seek employment with a prestigious organization where I can put my abilities and business studies background to the best use possible. 

Aditi Jain

Blog Author

Aditi is a Senior Content Marketing Specialist at KnowledgeHut. She is an avid writer with a masters in English literature and specializes in long-form articles and crisp marketing copies. She loves playing the guitar and covers soothing songs. Scrolling Instagram is also part of her mindfulness!