12 Data Analyst Resume Examples

Five Key Resume Tips For Writing A Data Analyst Resume:

1.
Relevant Experience
Make sure that the jobs, experience, and accolades that you 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 from the job description. For example, if they’re looking for someone with experience in Database, be sure to list it in your resume’s skills section.
3.
Quantifiable Achievements
Your workplace accomplishments tell the story of the unique value you bring to an organization. Stay away from dry descriptions of job duties. Use numbers to help contextualize your achievements..
4.
ATS-Friendly
An applicant tracking system (ATS) is a piece of software employers use to collect, scan, organize, and rank applications. The key to getting your resume past ATS and into the hands of hiring managers is smart keyword usage.
5.
Impeccable Formatting
Formatting a resume so that it looks professional and attractive is important. With Zippia’s resume builder, you can put together a modern-looking resume in less than 10 minutes. Just choose a resume template that suits your style, answer some questions about your background, and you’ll have a resume that’ll pass muster with both the ATS and the hiring manager.
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Data Analyst Resume

What Should Be Included In A Data Analyst Resume

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1. Add Contact Information To Your Data Analyst Resume

Your name should be the biggest text on the page and be at or near the top of the document.

Your address doesn't need to include your street name or house number - listing your city and state works just fine.

Your email address should be professional, but not your current work email address. It's not a good look to use your work email for personal projects (job-searching).

Your social media can be included if you have a fully-fledged LinkedIn page or another social media page that showcases your relevant skill set.

Data Analyst Resume Contact Information Example #1
Hank Rutherford Hill
St. Arlen, Texas | 333-111-2222 | hank.hill@gmail.com

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2. Add Your Relevant Education To The Resume

Your resume's education section should include:

  • The name of your school
  • The date you graduated (Month, Year or Year are both appropriate)
  • The name of your degree
If you graduated more than 15 years ago, you should consider dropping your graduation date to avoid age discrimination.

Optional subsections for your education section include:

  • Academic awards (Dean's List, Latin honors, etc. )
  • GPA (if you're a recent graduate and your GPA was 3.5+)
  • Extra certifications
  • Academic projects (thesis, dissertation, etc.)

Other tips to consider when writing your education section include:

  • If you're a recent graduate, you might opt to place your education section above your experience section
  • The more work experience you get, the shorter your education section should be
  • List your education in reverse chronological order, with your most recent and high-ranking degrees first
  • If you haven't graduated yet, you can include "Expected graduation date" to the entry for that school

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Data Analyst Resume Relevant Education Example #1
Bachelor's Degree In Business 2014 - 2016
California State University - San Bernardino San Bernardino, CA
Data Analyst Resume Relevant Education Example #2
Bachelor's Degree In Business 2014 - 2016
California State University - San Bernardino San Bernardino, CA
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3. Next, Create A Data Analyst Skills Section On Your Resume

Your resume's skills section should include the most important keywords from the job description, as long as you actually have those skills. If you haven't started your job search yet, you can look over resumes to get an idea of what skills are the most important.

Here are some tips to keep in mind when writing your resume's skills section:

  • Include 6-12 skills, in bullet point form
  • List mostly hard skills; soft skills are hard to test
  • Emphasize the skills that are most important for the job
Hard skills are generally more important to hiring managers because they relate to on-the-job knowledge and specific experience with a certain technology or process.

Soft skills are also valuable, as they're highly transferable and make you a great person to work alongside, but they're impossible to prove on a resume.

Example Of Data Analyst Skills For Resume

  • Data Analysis Skills

  • Procedures Skills

    Procedures are the established ways to perform a certain task. It is like an action plan for a team to perform their duties. It's like a map that can save one from being confused or roaming about while attempting to achieve a goal. When an organization uses procedures, it promotes positive practices and sets a good precedent

  • Python Skills

    Python is a widely-known programming language. It is an object-oriented and all-purpose, coding language that can be used for software development as well as web development.

  • Data Management Skills

    The administrative process that involves collecting and keeping the data safely and cost-effectively is called data management. Data management is a growing field as companies rely on it to store their intangible assets securely to create value. Efficient data management helps a company use the data to make better business decisions.

  • R Skills

    R is a free software environment and a language used by programmers for statistical computing. The R programming language is famously used for data analysis by data scientists.

  • Data Quality Skills

  • Data Collection Skills

    Data collection means to analyze and collect all the necessary information. It helps in carrying out research and in storing important and necessary information. The most important goal of data collection is to gather the information that is rich and accurate for statistical analysis.

Top Skills for a Data Analyst
Source: Zippia.com
Not sure which skills are really important?
3 Big Tips For Listing Skills On Your Resume

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4. List Your Data Analyst Experience

The most important part of any resume is the experience section. Recruiters and hiring managers expect to see your experience listed in reverse chronological order, meaning that you should begin with your most recent experience and then work backwards.

Don't just list your job duties below each job entry. Instead, make sure most of your bullet points discuss impressive achievements from your past positions. Whenever you can, use numbers to contextualize your accomplishments for the hiring manager reading your resume.

It's okay if you can't include exact percentages or dollar figures. There's a big difference even between saying "Managed a team of engineers" and "Managed a team of 6 engineers over a 9-month project."

Most importantly, make sure that the experience you include is relevant to the job you're applying for. Use the job description to ensure that each bullet point on your resume is appropriate and helpful.

What experience really stands out on Data Analyst resumes?

Pavel Chernyavskiy Ph.D.

Assistant Professor of Statistics, University of Wyoming

Good software skills (R, Python, C++, etc.) are pretty standard at this point, so applicants should aim to differentiate themselves in other ways. I like to see applicants demonstrate evidence they have been involved in a project: for undergraduates; this might be a poster presentation or a capstone project; for graduate students, this might be co-authorship on a published manuscript thesis work.

I value teaching experience since it usually implies that the applicant is a good communicator who can figure out how to manage a classroom and work with a range of stakeholders.
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Work History Example # 1
Project Coordinator
Granite Telecommunications
  • Helped Manage a 115 multi-site rollout project for Americold Logistics VoIP phone conversion.
  • Used Visio to map out cube configurations.
  • Developed process flows via Visio.
  • Maintained accurate retail inventory levels through EOW to ensure that AB product was always in stock.
  • Championed reorganization efforts for department knowledge base articles to assist with IT support procedures.

Work History Example # 2
Data Analyst
Accenture Federal Services
  • Worked with SMEs to elicit and document the Business Rules and requirements for business processes.
  • Designed dashboards based on requirements.
  • Designed custom validators in Java back end for constraint validations on various data fields.
  • Created SSIS packages to import data from different data sources.
  • Executed and implemented complete SDLC for enterprise Systems (ERP applications).

Work History Example # 3
Finance Internship
Turner Broadcasting Sales
  • Worked with the Senior Financial Analyst on budgeting, forecasting and reporting of financials through the use of Hyperion.
  • Worked through PeopleSoft on variety of expense and non- expense projects alongside the accounting manager.
  • Created ROIs for all capital projects with a threshold greater than $50k.
  • Streamlined existing processes and deliverables using Hyperion Essbase/Excel/Powerpoint.
  • Involved contract analysis and interpretation leading to profit leveraging and functionality in relation to negotiation details.

Work History Example # 4
Operations Internship (Part-Time)
HP
  • Assisted in the early testing of the Procurement Compliance SharePoint.
  • Devised and implemented communications processes and knowledge transfer between the India team and our U.S. based team.
  • Trained 10-15 new testers and repair technicians per month on proper procedures.
  • Employed RDP or KVM for remote troubleshooting purposes.
  • Aided in troubleshooting/recovery tasks such as server hang issues, failed drives, connection issues, and failed scripts.

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5. Highlight Your Data Analyst Certifications On Resume

Certifications can be a powerful tool to show employers that you know your stuff. If you have any of these certifications, make sure to put them on your Data Analyst resume:

  1. Certified Management Accountant (CMA)
  2. Chartered Financial Analyst (CFA)
  3. Project Management Professional (PMP)
  4. Associate - Data Science Version 2.0
  5. Certified Coding Specialist (CCS)
  6. Certified Business Intelligence Professional (CBIP)
  7. Certified Data Management Professional - Data Management (CDP-DM)
  8. Oracle Certified Associate - Oracle9i Database Administrator (OCA)

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6. Finally, Add A Summary Or Objective Statement

A resume summary statement is a 1-3 sentence spiel at the top of your resume that quickly summarizes who you are and what you have to offer. In this section, include your job title, years of experience (if it's 3+), and an impressive accomplishment, if you have space for it.

Remember to address skills and experiences that are emphasized in the job description.

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Data Analyst Resumes FAQs

What are examples of data analysis skills?

Examples of data analysis skills include analytical thinking, problem-solving, technical expertise, data analysis, communication, and teamwork.

A good data analyst should have skills that guide them in manipulating and analyzing large datasets, gaining new information and insights, and then communicating this information effectively to stakeholders and management.

Being able to find new information in data is not as simple as it may sound. To do this requires an understanding of certain coding languages, statistics, databases, and lots of critical thinking.

Data analysts must develop skills to help them gather, organize, and interpret data (e.g., sales figures, inventories, operating costs) and look for patterns or trends. They also need skills related to helping others understand what to do with this information in the form of suggestions that can guide strategic business planning and decisions.

Top skills every data analyst should have:

  • Data Mining

  • Data Visualization

  • Data Cleaning

  • Structured Query Language (SQL)

  • Microsoft Excel

  • Critical Thinking

  • R or Python-Statistical Programming (Pandas)

  • Presentation Skills

  • Machine Learning

  • Communication

  • Project management

  • Domain knowledge

  • Research

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