10 Data Analyst Resume Examples & Writing Guide
Use our data analyst resume examples as a reference when writing your own. Also, pair your resume with a well-written data analyst cover letter to maximize your chances of landing an interview.
Check out other great industry resume examples if you're open to other roles.
Data analyst resume template (text format)
Add the text of this example to your favorite resume template and then personalize it to save yourself time setting up your resume:
- Advanced Microsoft Excel
- HTML5, C++, Java, SQL
- Tableau, SAS, IBM SPSS
- Data modeling, data mining, data warehousing
- Plan and develop designs and procedures for metrics reports
- Develop new reports and delegate tasks to team of 3 junior analysts
- Perform market analysis to efficiently achieve objectives, increasing sales by 24%+ in 5 consecutive quarters
- Investigate and conduct studies on the forecasts, demand, and capital of proposed products
- Used SPSS and MiniTab statistical software to track and analyze data
- Optimized data collection procedures and generated reports on a weekly, monthly, and quarterly basis
- Used advanced Microsoft Excel and the XLOOKUP function to efficiently create pivot tables and pivot reporting
Data analyst resume examples by role and experience level
Our team of career experts has put together these resume examples to help inspire you when writing your own resume:
Entry-level data analyst resume
This example showcases how to effectively highlight your relevant skills, education, and any applicable experience to make a strong case for your candidacy:
Why this example works
- Lists relevant coursework: If you lack formal work experience, it’s a good idea to include relevant coursework on your resume.
- Highlights certifications: The candidate lists several certifications, showing that they’re dedicated to learning more about data analysis.
Data analyst intern resume
An effective data analyst intern resume should highlight your academic achievements, relevant coursework, and any previous internship or project experience, like this example:
Why this example works
- Includes projects: Instead of a standard work experience section, this candidate includes projects on their resume to show that they’re qualified despite having limited work experience.
- Well-organized layout: The well-defined section and horizontal lines make this resume format easy to scan.
Junior data analyst resume
Our junior data analyst resume example illustrates how to highlight internship experience and any initial professional exposure to data analysis:
Why this example works
- Bold header: This resume’s header is attention-grabbing while remaining professional.
- Showcases skills throughout: The candidate mentions their skills in both the skills section and the work experience section.
Senior data analyst resume
By following this example, you can create a polished and impactful resume that showcases your specialized skills and career achievements:
Why this example works
- Adds context: The candidate starts each job entry with a description of the company and their role within it. This can help employers get a sense of the scope of their previous roles.
- Includes certifications: The candidate demonstrates a commitment to continuous learning by listing certifications on their resume.
Job-specific data analyst resume samples
Here are some additional examples for different data analyst roles:
Data entry clerk resume
Your data entry resume needs to showcase your ability to accurately input and manage data while adhering to strict deadlines. For example:
Why this example works
- Includes hard numbers: The candidate quantifies achievements on their resume to show potential employers that they really do have the skills they claim.
- Clean layout: This resume’s professional fonts and well-defined sections set a professional tone.
Data engineer resume
Our data engineer resume example will show you how to showcase your technical expertise, problem-solving abilities, and experience in handling large-scale data infrastructure:
Why this example works
- Compelling introduction: The career summary mentions specific skills and technologies to help potential employers quickly get a sense of the applicant’s qualifications.
- Subtle colors: This resume’s colors are low-key and professional, which is perfect for a formal field like data engineering.
Big data resume
Check out this big data resume example to learn how to highlight your ability to extract valuable insights from large and complex datasets:
Why this example works
- Specific skills section: The candidate lists the specific technologies they’re proficient in so that employers can get a good sense of their qualifications.
- Emphasis on experience: This resume template has plenty of room for the candidate to go into detail about their professional experience.
Database administrator resume
Check out our database administrator resume example to help you learn how to effectively show off your technical prowess and problem solving abilities:
Why this example works
- Skill ratings: The candidate gives additional context to their skills by adding graphics that show their proficiency in each skill.
- Eye-catching layout: This resume’s layout is unique and sure to grab hiring managers’ attention.
Finance analyst resume
By following this example, you can create a compelling resume that demonstrates your skill in interpreting complex financial data, conducting variance analyses, forecasting, and presenting actionable recommendations to stakeholders:
Why this example works
- Striking heading colors: The turquoise headings add visual interest without being distracting.
- Strong introduction: This resume’s introduction effectively highlights the candidate’s key skills and qualifications.
Average data analyst salaries in the US
The following table includes information from O*NET Resource Center by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license, this data is pulled from the most recent US Bureau of Labor Statistics’ Employment & Earnings report (as of 10/16/2024), featuring the top states by use.
Average data analyst annual salaries by state
States | Salary / Year |
---|---|
California | $82,870 |
New York | $99,480 |
Texas | $86,510 |
Florida | $61,500 |
Pennsylvania | $71,440 |
Illinois | $101,880 |
Ohio | $88,930 |
Georgia | $78,320 |
North Carolina | $101,190 |
Michigan | $91,610 |
National Average | $85,920 |
How to write a data analyst resume
Our expert writing guide will teach you how to write a data analyst resume that impresses hiring managers.
1. Start with an effective resume summary
Start your data analyst resume with a strong resume summary that highlights your professional background and qualifications.
Here are some examples to use as a guide when writing your own:
Healthcare data analyst resume summary
Healthcare data analyst offering expertise in data analysis, reporting, and business intelligence tools (Tableau, Power BI). Adept at leveraging data to identify trends, patterns, and opportunities for cost optimization within the healthcare system. Strong background in data governance, regulatory compliance, and ensuring data integrity. Committed to continuous learning and staying updated with emerging healthcare analytics technologies.
SQL data analyst resume summary
Dedicated SQL Data Analyst with expertise in SQL Server, PostgreSQL, and MySQL. Skilled in writing complex SQL queries, optimizing database performance, and implementing data governance frameworks. Proficient in data mining, statistical analysis, and data visualization using tools like Tableau and Power BI. Adept at collaborating with cross-functional teams and presenting data-driven insights to diverse stakeholders.
Business data analyst resume summary
Detail-oriented Business Data Analyst with a strong background in statistical analysis and data visualization. Proficient in SQL, Python, and Tableau, with a proven track record of delivering actionable insights that have positively impacted revenue and operational efficiency. Skilled in identifying trends and patterns within large datasets to uncover opportunities for process improvement and cost reduction. Effective communicator with experience presenting findings to senior stakeholders.
2. Showcase your data analyst skills
Hiring managers quickly scan resumes for relevant technical skills, such as:
- Data mining
- Data visualization
- Data cleaning
- Data manipulation
- Dashboard creation
- Big data technologies (e.g., Hadoop, Spark)
- Predictive modeling techniques (e.g., decision trees and generalized linear models)
- Analytical tools (e.g., Tableau, Power BI, Microsoft Excel, SAS, SPSS)
- Analytical coding languages (e.g., SQL, Python, R, and Java)
- Machine learning
- Regression analysis
- Time Series analysis
- Hypothesis testing
- Database management
- Data warehousing
- Project management
- Domain knowledge (e.g., finance, marketing, healthcare)
Look for skills-based resume keywords the hiring manager included in the job ad. Your skills that match those keywords are the best skills to put on your resume.
3. Quantify your accomplishments
Quantifying achievements on your resume allows employers to get a better sense of the impact you had at your last job. The more hiring managers can understand what you can achieve, the more likely they are to call you in for an interview.
Here are two examples of how to write about past achievements with data for context:
- Consolidated data and developed operations/procedures, improving workflow by 18%
- Analyzed 5,000+ contacts in a spreadsheet, successfully drawing conclusions about consumer data
To help you in the next steps of your job search, we’ve compiled a list of the best job boards, with a specific section just for data science job boards.
4. Include your relevant education and certifications
Make sure you highlight your degrees in your education section, like this:
Education
Bachelor of Science in Statistics
Stanford University, Stanford, CA
May 20XX
GPA: 3.8/4.0
Honors: Magna cum laude
Employers always appreciate candidates who are dedicated to continued learning and improvement, so make sure you also include any certifications you’ve completed. If you only have one or two additional certifications, you can create a combined education and certifications section, like this:
Education and Certifications
Bachelor of Science in Business Administration
Boston University, Boston, MA
Graduated: May 20XX
Certification in Data Science
Coursera
Completed: September 20XX
If you have several certifications, you can put them in a dedicated certifications section, like this:
Certifications
Certified Analytics Professional (CAP)
Issued by: INFORMS
Completion Date: May 20XX
Google Data Analytics Professional Certificate
Issued by: Google
Completion Date: August 20XX
AWS Certified Data Analytics – Specialty
Issued by: Amazon Web Services
Completion Date: November 20XX
Additional resources
Are you a current student or considering a career change and looking for tips on how to get started as a data analyst? Check out this video by experienced data analyst Alex Freberg where he talks about what steps he would take if he were to start over:
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