Data Analyst Resume | Tips, Examples & Templates

The key elements of a strong resume are the same no matter what job you’re applying for, but there are slightly different expectations in different industries and professions.

In this article, you’ll find practical tips for writing a data analyst resume, with examples of resumes for both experienced and entry-level candidates.

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Data analyst resume tips

These three tips will help you write a recruiter-friendly data analyst resume.

1. Make your technical skills stand out

As a data analyst, your resume should make it easy for recruiters—who may have limited data analysis knowledge—to identify your most relevant technical and hard skills at a glance. Use the exact technical terms from the job posting, as these are likely the ones they’ll recognize—these are also important keywords that you need to include to increase your chances of getting past an applicant tracking system (ATS).

If your technical skills section is taking up more than about four lines of space, cut it down to make it easier to scan by focusing on the skills specified in the posting.

For entry-level roles, consider placing the technical skills section, where they’ll be expecting to find the key information for these roles, before your work experience section.

2. Keep it concise

Recruiters typically expect a one-page resume, so you won’t have room to list every responsibility for each job. Instead, focus on selected highlights, such as achievements and projects that show how you meet the requirements for the job you’re going for.

Let the job titles in your resume do as much of the work as possible; they already give recruiters a general idea of your responsibilities, so use your bullet points to highlight the most relevant and impressive details.

You can also include a link to a project portfolio to provide additional information without overcrowding your resume.

3. Show off your soft skills

Employers are looking for data analysts who are proactive communicators that can work effectively with both technical and non-technical stakeholders; candidates who know how to clarify project briefs, ask the right questions about the business problems behind each request, and maintain good relationships with the teams responsible for the data they rely on.

They’re searching for people with the communication skills to help stakeholders understand what the data shows, what actions the insights support, and what the potential positive and negative impacts of those actions could be. They want to hire data analysts who know how to present findings in a clear, engaging way for a non-technical audience.

These soft skills become increasingly important as you move into mid-level and senior roles. If you’re applying for one of these positions, identify the soft skills mentioned in the job posting and include concrete examples in your work experience section that show how you’ve used them.

Data analyst resume examples

Jane, a fictional data analyst, has written the resume below to apply for a position at a media company. In this role, she would analyze social media and video performance, build dashboards and reports, identify audience and content trends, and turn data into strategic recommendations for editorial, audience, and marketing teams.

Data analyst resume sample

• Using keywords she identified in the job posting, including “social media performance,” “video content,” “audience trends,” “content KPIs,” “competitive audits,” “dashboards,” and “strategic recommendations”
• Highlighting the most relevant tools in an easy-to-scan skills section
• Leading with media, social, video, and audience analytics experience instead of presenting herself as a general data analyst
• Including examples that connect directly to the role’s responsibilities, such as analyzing video performance, building dashboards for content producers, benchmarking competitors, and recommending content tests

She has showcased her communication skills by:

• Showing how she turns data into clear narratives and recommendations for creative, audience development, leadership, and client teams
• Giving specific examples of stakeholder collaboration with creative, paid social, web, editorial, and marketing teams
• Demonstrating that she can explain insights to non-technical audiences, not just collect or report data

She has managed to keep the resume length to one page by:

• Limiting the descriptions in the experience section to selected achievements instead of listing every responsibility
• Including a portfolio link at the top so she can show additional work without overcrowding the resume

She has also maximized the impact of her resume by:

• Quantifying her achievements with metrics like “18% higher average completion rate”
• Framing her work around business decisions and content strategy to show how she contributes to positive business outcomes

Entry-level data analyst resume

John, a fictional data analyst, has written the resume below to apply for an entry-level social media and video data analyst position.

Entry-level data analyst resume sample

• Places his technical skills above his professional experience. Because John is a recent graduate with limited work experience, this helps recruiters quickly see that he has relevant tools and skills as a result of his degree coursework and an internship.
• Tailors his resume to the job posting. The posting asked for someone who can help collect, organize, quality-check, and summarize social and video performance data, so John emphasizes campaign tracking, social media metrics, website traffic, content performance, dashboards, trackers, and basic reporting.
• Uses the same kind of language as the role description. His resume includes terms such as “KPI tracking,” “social media reporting,” and “Google Analytics,” which are the exact terms used in the job posting.
• Focuses his internship bullet points on relevant data tasks. Instead of describing every marketing duty he had, he highlights the parts of the internship that relate most closely to entry-level analytics work.
• Shows that he understands the support role expected of an entry-level analyst. John does not overstate his experience, presenting himself as someone who can do relevant entry-level tasks such as cleaning data and maintaining dashboards.
• Includes only basic details for a less relevant summer job. His Program Assistant role is not directly related to data analytics, so he keeps it to one concise bullet. However, he still includes it because it shows work experience, reliability, organization, and communication skills.
• Links to a portfolio. The portfolio link gives him a place to show data analysis projects from his degree without overcrowding the resume.

An alternative approach for entry-level applications is to write a data analyst skills resume (aka functional resume), where you focus on your skills rather than experience.

Data analyst resume template

You can use this Google Doc data analyst resume template to create resumes in a simple ATS-friendly format.

Data analyst skills for resumes

Examples of technical skills for a data analyst resume include:

• SQL querying and database management
• Microsoft Excel, including pivot tables, formulas, and data cleaning
• Python for data analysis and automation
• R for data analysis and automation
• Data visualization tools such as Tableau, Power BI, or Looker
• Statistical analysis and hypothesis testing
• Dashboard creation and reporting
• Data cleaning, validation, and transformation
• ETL processes and data pipeline support
• Google Analytics, Adobe Analytics, or other web analytics platforms
• Data modeling and relational database concepts
• Business intelligence reporting
• A/B testing and experiment analysis

Examples of more general hard skills for a data analyst resume include:

• Requirements gathering from stakeholders
• Translating business questions into data analysis tasks
• Defining KPIs and performance metrics
• Creating recurring reports and dashboards
• Documenting data sources, assumptions, and methodologies
• Quality assurance and data accuracy checks
• Identifying trends, patterns, and anomalies
• Presenting insights to non-technical audiences
• Supporting data-driven decision-making
• Managing multiple analysis requests and deadlines
• Collaborating with engineering, finance, marketing, or operations teams
• Improving reporting workflows and analytical processes

Examples of transferable skills for a data analyst resume include:

• Critical thinking
• Problem-solving
• Attention to detail
• Communication
• Storytelling with data
• Curiosity
• Time management
• Collaboration
• Adaptability
• Business acumen
• Organization
• Decision-making
• Research skills

Frequently asked questions about data analyst resumes

How do you put data analyst projects on a resume?

You probably won’t have space to put data analyst projects on a resume.

To keep your data analyst resume concise, you can include a link to an online portfolio that showcases your projects. You can also refer to relevant projects in your cover letter.

If you don’t have much data analysis experience and are applying for entry-level positions, you could write a short work experience section and include a separate projects section that lists relevant projects you completed at college or in your spare time.

Use Quillbot’s free online resume templates to format a professional-looking resume in minutes.

What keywords should I include in my resume for Applicant Tracking Systems (ATS)?

Include keywords that match the job description, especially hard skills, industry-specific terms, and qualifications. For example, if the job posting emphasizes “project management,” “data analysis,” and “Python,” make sure these terms appear naturally in your resume.

Chatbots such as ChatGPT and QuillBot’s free AI chat can help identify these keywords from the job description and weave them into your resume so it gets past Applicant Tracking Systems (ATS) more easily.

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