Data Analyst Resume Examples 2022
12 Data Analyst Resume Examples
Build a professional data analyst resume in minutes. Browse through our resume examples to identify the best way to word your resume. Then choose from 12+ resume templates to create your data analyst resume.
Julia Ramos Data Analyst |
Jacob James Data Analyst Experience Data Analyst2019 - Present Microsoft•Redmond, WA
SQL Developer2017 - 2019 Microsoft•Redmond, WA
SQL Server Developer2015 - 2017 Bank of America•Tampa, FL
Skills SchemaA/BProceduresMedicaidJavascriptCommunicationStataVersion ControlDatabaseRelational Databases Education Bachelor's Degree Statistics2012 - 2015 Florida State University•Tallahassee, FL |
Five Key Resume Tips For Writing A Data Analyst Resume:
Data Analyst Jobs You Might Like
- High Paying Data Analyst Jobs - $100K and Up
- Work From Home Data Analyst Jobs
- Entry Level Data Analyst Jobs
- Part Time Data Analyst Jobs
- Actively Hiring
- No Degree Data Analyst Jobs
Choose From 10+ Customizable Data Analyst Resume templates
Zippia allows you to choose from different easy-to-use Data Analyst templates, and provides you with expert advice. Using the templates, you can rest assured that the structure and format of your Data Analyst resume is top notch. Choose a template with the colors, fonts & text sizes that are appropriate for your industry.
What Should Be Included In A Data Analyst Resume
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 Jobs You Might Like
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
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
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.Show more
- 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.
- 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).
- 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.
- 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.
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:
- Certified Management Accountant (CMA)
- Chartered Financial Analyst (CFA)
- Project Management Professional (PMP)
- Associate - Data Science Version 2.0
- Certified Coding Specialist (CCS)
- Certified Business Intelligence Professional (CBIP)
- Certified Data Management Professional - Data Management (CDP-DM)
- Oracle Certified Associate - Oracle9i Database Administrator (OCA)
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)
Machine Learning
Communication
Project management
Research