Business & Data Analyst

Business & Data Analyst Resume Examples And Tips

The average resume reviewer spends between 5 to 7 seconds looking at a single resume, which leaves the average job applicant with roughly six seconds to make a killer first impression. Thanks to this, a single typo or error on your resume can disqualify you right out of the gate.

At Zippia, we went through over 4,333 Business & Data Analyst resumes and compiled some information about how best to optimize them. Here are some suggestions based on what we found, divided by the individual sections of the resume itself.

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Five Key Resume Tips For Landing A Business & Data Analyst Job:

1.
Relevant Experience
Make sure that the jobs, experience, and accolades that you do include are relevant to the position you’re applying for.
2.
The Right Skills
This is a great time to run wild with those keywords found in the job description. If they’re looking for someone with Business Requirements, be sure to list it as a skill.
3.
Quantifiable Achievements
Achievements and awards relevant to the position speak louder than a high GPA, especially if you can quantify your achievement with a number.
4.
Your Unique Qualities
Recruiters and hiring managers are looking at hundreds of resumes. Let yours stand out, and try not to sound too boring.
5.
Strong Content
If you’ve had a lot of jobs, this shouldn’t necessarily be a list of all of them. This is a document designed to market you to a potential employer, so choose the strongest content.

How To Write A Business & Data Analyst Resume

1
Contact Information
Name
First things first — employers only spend about six seconds looking at resumes before they decide to keep them or throw them away, so you should definitely let them know whose it is.
Address
Commute and relocation are things that employers take into consideration when sifting through candidates, so provide your current address in your resume header so that employers have an idea of where you are in relation to their office.
LinkedIn Profile
If you feel that a link to your social media profile could further your standing as a candidate, go ahead and include it. This doesn’t mean you should throw in a link to your hilarious Twitter profile, but instead provide your LinkedIn profile.
2
Professional Summary (Objective)
Career objective statements are one of the most overlooked pieces of otherwise stellar resumes. It’s not that every Business & Data Analyst CV out there needs one — it’s just that the ones that really do need them typically never think to include them.
The goal of this section is simple: to summarize the resume in a few short sentences. Through your resume summary you enable employers to quickly learn whether you are a good match for the job. Here are a few things to keep in mind when writing a professional summary:
Keep it short: it should be 4 sentences max
Highlight your most impressive skills or achievements
3
Skills

Not sure which skills are really important?

3 Big Tips For Listing Skills On Your Resume
Make sure to only include your hard skills on your resume. In addition, include the most in-demand business & data analyst skills. Below we have listed the top skills for a business & data analyst : The more keywords your resume can “match,” the more likely it is that your resume will be selected for review by human eyes.
Top Skills for a Business & Data Analyst
Source:Zippia.com
Visio, 3%
See All Business & Data Analyst Skills
Here are a few key points of to keep in mind while writing your skills section:
Include between 6 to 12 skills
Make sure to only include hard skills
Highlight your most impressive skills or achievements
4
Experience
The work experience section of a resume is all about highlighting the achievements that an employer would want to see. Here are some examples from different Business Analysts

Example # 1

Business & Data Analyst

  • Experienced in working on both Waterfall and Agile methodologies.
  • Acquainted with SDLC Phases and Documentation Deep involvement with the key PMO aspects such as Strategic Planning, Financials, Governance etc
  • Test cases are executed via scripts on UNIX based servers.
  • Experience in documenting and Implementing Disaster Recovery Plans.
  • Ensured compliance with SDLC standards.

Example # 2

Junior Business Analyst

  • Guided up to 10 people through software development lifecycle (SDLC) utilizing hybrid of Agile and Waterfall methodologies.
  • Project work at times was pure agile, pure waterfall or a hybrid iteritave waterfall.
  • Create training materials to local country support personnel in processing of data through GIS to SAP and back.
  • Defined and documented Global IT Security internal control assessment process for Sarbanes Oxley initiative.
  • Authored As-Is and To-Be systems and proposed optimal business and technology solutions.

Example # 3

Business & Data Analyst

  • Worked with the test team to develop test plan and test cases for UAT, planning and conducting UAT testing.
  • Used MS-Visio for use-case flow diagram and design documentation.
  • Facilitated and participated in JAD sessions with the Stakeholders and technology teams and worked as a liaison between them.
  • Participated regularly in Walkthroughs and Review meetings with Project Manager, QA Engineers and Development team.
  • Worked with various stakeholders to create an end to end project plan.

Example # 4

Business & Data Analyst

  • Conducted JAD sessions with stakeholders throughout SDLC to resolve open issues.
  • Implemented ADO.NET to interact with the SQL Server database.
  • Created and maintained a Gift Card database for redemptions, purchases, and recharges.
  • Trained new associates on a global team using WebEx and PowerPoint, increasing productivity and functionality.
  • Evaluated experiments by AB Testing, Multivariate and bivariate testing / Analysis.

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We compared 4,333 sample business & data analyst resumes with job offers and found that the average years of experience required for a business & data analyst job required by employers is 2.1 years.
How much work experience do employers want to see?
The average business & data analyst job listing asks for 2.1 years of work experience.
How much work experience does the average business & data analyst candidate have?
The average business & data analyst resume contains 5.0 years of work experience.
Write your work experience section in a way that embraces your business & data analyst skills. Sounds easier said than done? Take a look at how other people have done it. Below are real examples from business & data analyst resumes that people have included in their work experience section to demonstrate their knowledge of key skills:
5
Education
As a business & data analyst, you may be curious how your education stacks up against other applicants. As long as you have a bachelor's degree, you're in the majority. Our research showed that most Business & Data Analysts have a 4-year degree as the highest education level.
Based on our analysis of business & data analyst resumes, the most common major for business & data analyst candidates is Business, but other majors made their way in as well. Computer Science, Finance and Computer Information Systems were relatively common.
As shown above, the Education section can be very brief. However make sure to include the following:
The name of the school you attended
The year you attended
Your major
Your GPA
The level of education you attained

Business & Data Analyst Salary

Did your resume land you an interview? Be prepared to talk salary.

How To Answer "What Are Your Salary Requirements"

When you are ready to send your resume to employers, it's important to be aware of the current market conditions for Business & Data Analysts. Salary can vary based on factors such as location, company, and industry. Check out our detailed salary information for Business & Data Analysts to learn more.

Average Employee Salary
$78,000
$56,000
Min 10%
$78,000
Median 50%
$109,000
Max 90%