You can write a great resume for data analyst jobs by showing how you’ve answered complex questions and informed key business decisions. Review the following tips to explore this topic effectively and ensure each section of your resume contains the correct details.
Most Popular Data Analyst Resumes
Data Analyst - Entry-Level Resume Example

Why this entry-level data analyst resume example is strong:
This resume showcases a candidate who not only has foundational experience but also demonstrates measurable success, like improving readmission forecast accuracy by 22%. The candidate effectively highlights their expertise in working with industry-specific tools such as SQL, SAS, and Tableau, which are essential for entry-level data analyst roles. The inclusion of a capstone project adds credibility, showing practical application of their academic knowledge to real-world challenges.
Data Analyst - Mid-Level Resume Example

Why this mid-career data analyst resume example is strong:
This resume is powerful because it highlights the candidate's ability to generate tangible results, such as boosting on-time fulfillment rates by 26% and reducing transportation costs by 12%. The inclusion of collaboration across departments and usage of various technical tools (SQL, SAS, Excel) underscores their versatility and ability to apply their skills to cross-functional projects. Additionally, the bilingual fluency enhances their appeal in diverse work environments.
Data Analyst - Senior-Level Resume Example

Why this senior data analyst resume example is strong:
This resume excels by emphasizing the candidate's extensive experience in business intelligence and operations, backed by quantifiable achievements like reducing operating costs by 17% and improving onboarding processes to increase profit by 9%. Their ability to work directly with C-suite executives and interpret complex data for high-level decision-making makes them stand out for senior roles. The use of advanced tools like IBM SPSS and their leadership of a data team also strengthens the resume.
Entry-Level Data Analyst Resume Example

Why this entry-level data analyst resume example is strong:
This resume highlights a candidate with strong foundational skills in data visualization and analysis, with a demonstrated ability to drive business decisions and improve data accuracy by 20%. The inclusion of multiple completed projects within tight deadlines shows their ability to manage time and deliver value in a professional environment. Additionally, the listing of relevant technical skills, such as SQL and project management, enhances the candidate’s fit for an entry-level role.
Health Care Data Analyst Resume Example

Why this health care data analyst resume example is strong:
This resume stands out by highlighting the candidate’s specialized experience within the health care industry, where compliance with privacy and HIPAA regulations is critical. Their ability to lead data analysis projects that have directly improved patient satisfaction by up to 25% underscores their impact on health outcomes. Furthermore, the candidate's focus on collaboration with health care professionals shows their ability to translate data into actionable insights in a highly regulated field.
Senior Data Analyst Resume Example

Why this senior data analyst resume example is strong:
This resume showcases the candidate’s leadership and technical expertise, with quantifiable achievements like reducing annual operating costs by over $4 million. The ability to manage a large team of analysts and implement data-driven strategies to improve business processes demonstrates their senior-level capability. Additionally, the combination of technical skills like Python, R, and SQL, paired with project management experience, makes this resume highly competitive for senior roles in data analysis.
Data Analyst Intern Resume Example

Why this data analyst intern resume example is strong:
This resume is impressive for an intern position as it highlights the candidate's hands-on experience at industry-leading companies like Google and Microsoft. Their ability to leverage SQL and Tableau to improve reporting accuracy and efficiency shows a strong foundation in technical skills. Additionally, the candidate’s experience collaborating with cross-functional teams to drive process improvements reflects their readiness for real-world data analysis challenges.
SQL Data Analyst Resume Example

Why this SQL data analyst resume example is strong:
This resume shines by showcasing the candidate’s expertise in SQL database management, data reporting, and optimization, with measurable results such as a 30% reduction in data processing time. The candidate’s leadership of a data team, paired with their hands-on approach to troubleshooting and maintaining data integrity, demonstrates a well-rounded skill set. Their focus on improving system security and delivering high-level technical support strengthens their profile for advanced SQL roles.
Business Data Analyst Resume Example

Why this business data analyst resume example is strong:
This resume is strong due to the candidate's impressive track record of driving multi-million-dollar cost savings through data-driven business insights. Their ability to lead a team of analysts and manage cross-functional collaboration demonstrates leadership skills. Moreover, their expertise in quantitative analysis and business intelligence, combined with certifications like the Azure Data Scientist Associate, ensures they can navigate complex business environments to deliver value.
Business Analyst Resume Example

Data Entry Resume Example

Data Scientist Resume Example

Data Analyst Text-Only Resume Templates and Examples
How to Write a Data Analyst Resume
1. Create a profile by summarizing your data analyst qualifications
A strong profile will catch the hiring manager’s interest by giving the top reasons you excel at data analysis. What is your method of collecting, organizing, and interpreting data sets? How has that approach generated insights and helped leaders address major business issues? For instance, your diligent approach and software expertise may have helped optimize tracking at large warehouse facilities. Show the broad impact of your data analysis work in your profile, and you can be sure your resume makes a great first impression.
Entry-Level Profile Example
Motivated data analyst with over two years of experience. Demonstrated success working with electronic health records/electronic medical records (EHR/EMR) programs to draft detailed reports on patient care, billing, and readmission risk factors. Designed a system that improved readmission forecast accuracy by 22% using logistic models, linear discriminant analysis (LDA), qualitative data analysis (QDA), and tree classification. Master of Science in Biostatistics.
Mid-Career Profile Example
Systematic data analyst with strong recent experience in inventory control and warehouse fulfillment processes. Efficiently extract sales and inventory data, generating usable reports and processes to avoid back-ordering. Career highlights include boosting on-time fulfillment rates by 26%. Power user of Excel, Tableau, SAS Enterprise Miner, SQL, and SharePoint. Bilingual: Fluent in English and Spanish.
2. Create a powerful list of your data analyst experience
To write a powerful experience section, give examples of your related success in data analysis. For each job in your work history, consider what data insights you found and how they helped the organization navigate key changes or challenges. For example, maybe you identified customer issues that led your company to hone its service procedures. Or perhaps you uncovered new consumer trends or helped find and remove unnecessary production costs. Relevant highlights like these give hiring managers a sense of the positive impact you’d have on their organization.
Mid-Career Experience Example
Data Analyst, ABC Warehousing, Columbia, MD | March 2017 to present
- Gathered business intelligence on logistical processes, helping reduce yearly transportation costs by 12% ($800,000)
- Used trend data to reduce back-ordering by 19% for retail partners
- Designed statistical analysis for large customer data sets, lowering cart abandonment rates by about 27%
- Developed an update process that rolled out changes to all systems at once, reducing downtime and streamlining warehouse operations
Senior-Level Experience Example
Operations Data Analyst, Home Health Co., Houston, TX | January 2015 to present
- Recommend, set up, and use IBM SPSS statistical software to track key data points
- Use large data sets and Teradata to build statistical analysis models and reports
- Collaborate with C-suite executives to interpret data points and draw actionable conclusions
Highlights:
- Generated data insights that enabled the organization to cut operating costs by 17%
- Created operational processes to reduce customer onboarding time, raising profit by 9%
3. List any education and certifications relevant to data analysts
Highlight your education and certifications in your resume to demonstrate your proficiency in data analysis. If you majored in a related subject like statistics or computer science, include that next to your degree title. Feature any certifications you’ve earned in data analysis, but also consider including your credentials or training in other work areas like public speaking, management consulting, or software you expect to use in your next role.
The following are templates and examples to help you format your education and certification details on your resume. Note that optional template areas appear in [brackets].
Education
Template
- Degree Name — [Major], School Name, City, ST | [Year]
- [Dissertation or capstone project details]
Example
- Bachelor of Science (BS) — Mathematics, University of Florida, Gainesville, FL | 2019
Certification
Template
- Certification Name or Title, [Awarding Organization] | [Year]
Example
- Data Science Certificate, Cornell University | 2018
4. List key skills and proficiencies for data analysts
Include a “key skills” section on your resume to display the various ways you help influence and guide decision-making. You can also use this section to show your technical skills like Excel or Tableau (but if you’re proficient in five or more relevant programs, consider making them their own section or profile sentence). Below are some common skills and keywords for data analysts:
Key Skills and Proficiencies | |
---|---|
Advanced Microsoft Excel | AdWords |
Business strategy development | Client data confidentiality |
Complex problem-solving | Data gathering and analysis |
Data modeling | Data research and mining |
Data visualization | Data warehousing |
Efficiency improvement | Executive consulting |
Google Analytics | Management consulting |
Microsoft SPSS | Pattern recognition |
Predictive and prescriptive analysis | Procedure development |
Process streamlining | Project management |
Python | R programming language |
Relational databases | Reporting and documentation |
SAS Enterprise Miner | SharePoint |
SQL | Tableau |
Task prioritization | Team collaboration |
Trend forecasting |
How To Pick the Best Data Analyst Resume Template
As with most vocations, data analysts should use a resume design that’s simple and straightforward. Opt for a visual template that lets the hiring manager quickly review your best career details. Use a clear resume font, and avoid any template with overly colorful or elaborate designs.
As with most vocations, data analysts should use a simple and straightforward resume design. Opt for a visual template that lets the hiring manager quickly review your best career details. Use a clear resume font, and avoid any template with overly colorful or elaborate designs.
Frequently Asked Questions: Data Analyst Resume Examples and Advice
What are common action verbs for data analyst resumes?-
For data analysts, the best resume verbs will show your influence on key decision-making – for example, “informed,” “highlighted,” or “recommended.” But there are various others you might use to describe your duties and contributions in this field. The following verbs list can help you brainstorm:
Action Verbs | |
---|---|
Analyzed | Assessed |
Cleaned | Collected |
Combined | Communicated |
Consulted | Corrected |
Created | Enhanced |
Evaluated | Extracted |
Gathered | Guided |
Highlighted | Improved |
Influenced | Informed |
Interpreted | Isolated |
Modeled | Organized |
Pinpointed | Processed |
Recommended | Reset |
Resolved | Reviewed |
Scrubbed | Streamlined |
Suggested | Summarized |
Synthesized | Uncovered |
Visualized |
How do you align your data analyst resume with a job posting?-
According to the World Economic Forum’s Future of Jobs Report 2023, demand for data analysts and scientists will grow by about 34% in the next five years. This growth rate is much faster than the average for all vocations.
You can get more interviews in this fast-growing field if you tailor your resume for each application. For example, if the company is looking for someone collaborative, you may want to call out that aspect of your experience in your profile and key skills sections. Or say the company has many non-English speaking customers or business partners. You could highlight your foreign language skills both in your profile and as a separate section farther down the document.
With adjustments like these, you can make your resume more relevant to each new job opportunity.
What is the best data analyst resume format? -
In nearly all cases, use a Combination (or Hybrid) resume because it’s simplest for hiring managers to learn about your pertinent skills and experience. It’s also easiest for you to modify based on your job goals.
With the Combination format, you highlight your most relevant skills and experience in your Experience or Work History section, and an intro section. (This combination of work history and intro content is where the format gets its name.) Your resume intro should usually include a profile summary and key skills section, but you may also add a career highlights or awards section.
Should my data analyst resume be one or two pages?-
Your data analyst resume should ideally be one page, especially if you have fewer than 10 years of experience. A two-page resume can be effective for seasoned professionals with a longer track record if it highlights accomplishments and skills directly relevant to the job. Every detail should add value and strengthen your candidacy.
Limit your work experience to the past 10 to 15 years, unless earlier positions are highly relevant. Keeping your resume concise and targeted will make a strong and memorable impression on potential employers.
Craft your perfect resume in minutes
Get 2x more interviews with Resume Builder. Access Pro Plan features for a limited time!
Write and submit a strong cover letter to increase your chances of an interview. The key to an effective letter is customizing it based on each job opening. Read our data analyst cover letter guide to learn how. For other related examples, see our business analyst and data scientist cover letter guides.