Data Analyst Resume Examples

Data analysts work in many industries in both the private and public sectors, with many companies hiring analysts on a regular basis. Analyst work in the U.S. is a fast-growing industry, with an estimated 139,200 new jobs opening in the next decade. LiveCareer’s data analyst resume examples show you how to tailor your resume to best highlight your education and experience. Learn to write, design and format a document that will get you noticed by recruiters and hiring managers.

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What is a Data Analyst?

Data analysts can find employment in an array of industries, including manufacturing, healthcare and transportation. Sometimes referred to as business or market analysts, data analysts are responsible for gathering, reviewing, examining and presenting data while making sure all data collection and use follows company policies and regulations. Other common tasks include data entry, reporting and creating data warehousing systems. Data analysts may also collaborate with members of the marketing or communications team to ensure information is properly reported to different parties in the organization to complete projects.

What Makes This a Great
Data Analyst Resume Example?

If you are searching for a job as a data analyst, you are likely looking for a position that offers career advancement and professional development opportunities. With our data analyst resume examples, you can craft a personalized resume that allows you to take the next step in your job search.

Here’s how our data analyst resume examples can help you create the ideal resume: 

  • Suggests job-specific content: In the resume example, written by our team of certified resume writers, sought-after industry-specific keywords and phrases are used to highlight the applicant’s technical skills and work experience. Or, use our Resume Builder, which will suggest pre-written content for each section of your resume. Use it as-is or personalize it with your metrics.
  • Proposes the right format: This resume example is for an applicant who has more than five years of experience as a data analyst. She chose to highlight her experience in a chronological format. However, an entry-level or mid-career professional might consider using a functional or combination resume format.
  • Offers appropriate resume templates: Our resume examples show you the best template to use for the industry you seek to work. This resume example uses a professional, clean and easy to read template with a pop of color for impact, which will be appropriate for most jobs in the field of statistics.

 

3 Data Analyst Professional Summary Examples

A professional summary is the first thing a potential employer sees, and it should present your best skills and experience in succinct language. Our data analyst resume examples show you how to craft a powerful, yet succinct, summation of your skills and accomplishments. Or, use these additional examples to provide inspiration for your own resume:

  1. Highly analytical and detail-oriented data analyst with strong experience in and knowledge of database types and research methods. Over 5 years of experience examining and interpreting data to drive growth for companies and clients. Supply insights, analytics and business intelligence used to advance opportunity identification and process reengineering.
  2. Action-oriented data analyst with more than 10 years of experience collecting, organizing, examining and disseminating various types of data and statistical figures. Efficient presenter and effective communicator with experience informing business managers and executives in a way that is clear and professional.  Find solutions to data usage problems and suggest modifications for optimal use.
  3. Entry-level data analyst with 2 years of internship and practicum experience. Proficient in interpreting and examining data to drive growth for organizations. Detail-oriented individual with experience in data mining and warehousing.

3 Data Analyst Work Experience Examples

You can use our data analyst resume examples as inspiration to craft your own work experience section. Study them to learn how to word your bullet points and how to work metrics into your descriptions. Or, use these additional examples of data analyst work experience entries for inspiration:

  1. Collected, cleansed and provided modeling and interpretation of structured data used for major organization projects.
  2. Presented data findings to all levels of organizational leadership.
  3. Gathered, examined and presented data findings to organization executives that led to a 15% reduction in transportation costs.

Top Skills for Your Data Analyst Resume

Incorporating the right keywords into your resume is critical since many large corporations use applicant tracking systems (ATS) to screen potential candidates. Study the job ad to see the most crucial criteria for the role, or choose from this list of hard and soft skills for your data analyst resume:

Hard Skills

  • Regression analysis
  • Data visualization 
  • Statistical computing methods 
  • Advanced data mining

Soft Skills

  • Efficient organizer 
  • Experienced presenter 
  • Adaptable and flexible 
  • Problem-solver

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Data Analyst FAQs

How do I prepare for a data analyst interview?

The first thing you want to do when preparing for a data analyst interview is to think about what problem the organization is hiring you to solve. Think of the solutions you would come up with to address the problem. Second, review your data analysis and database technical skills. If you can’t remember how to perform a key skill, study it before the interview. Third, practice interview questions with a friend.

How can I become a data analyst without experience?

While college is the time to study and sharpen your skills, it is also a time to gain experience. Remember that internships and volunteer work count as experience. Secure an internship that allows you to develop your analysis skills and get feedback from managers. If you graduate without any tangible experience, try freelancing or doing relevant volunteer work to build your work history.

What is the difference between a data analyst and a business analyst?

Business analysts and data analysts both perform duties with data. The difference is what they do with it. Business analysts examine data to make strategic decisions. Data analysts, however, gather, examine, manipulate and transform data into findings that company leadership can easily understand. Unlike business analysts, data analysts are typically responsible for presenting data.

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