What Should a Data Analyst Resume Look Like? (2024 Example)

Core Structure of a Data Analyst Resume

All Data Analyst resumes follow a standard, ATS-friendly order to make scanning easy for both automated tools and hiring managers. Start with your contact information, including your full name, professional email address, LinkedIn profile link, GitHub/GitLab link for data project code, and a portfolio link if you host Tableau Public or Power BI work samples.

Next, add a 2-line professional summary if you have 3+ years of experience, or a career objective if you are entry-level with less than 2 years of experience, tailored explicitly to the job posting you are applying to. Follow this with a categorized skills section, reverse-chronological work experience, and education section. A 1-page resume is standard for all Data Analysts with less than 10 years of experience, with 2 pages allowed only for senior or lead roles.

ATS-Optimized Skills Section for Data Analysts

ATS systems scan for exact keyword matches from the job description, so group your skills into clear categories to make matches obvious. Only list skills you can demonstrate in an interview to avoid overstating proficiency. A standard categorized skills section includes:

• Technical skills: SQL (PostgreSQL, BigQuery), visualization tools (Tableau, Power BI, Looker), programming (Python, Pandas, R, dplyr), advanced Excel (pivot tables, XLOOKUP, VBA), statistical analysis (A/B testing, regression analysis)
• Domain skills: Customer analytics, supply chain forecasting, financial reporting, A/B test design, KPI tracking
• Soft skills: Cross-functional communication, stakeholder management, problem-solving, data storytelling

Sample Work Experience Bullet Points

Every work experience bullet should follow the STAR method (Situation, Task, Action, Result) and include quantifiable metrics to show the business impact of your work. Avoid generic phrases like “analyzed data” and tie every entry to a tangible outcome. Below are real-world examples for different experience levels:

Entry-Level (1-2 years experience)

Junior Data Analyst, Regional Retail Co, 2022-2024

• Built 12+ interactive Tableau dashboards tracking monthly sales and inventory turnover, reducing weekly reporting time for the operations team by 40%
• Wrote SQL queries to pull and clean customer behavior data from 5+ relational databases, identifying a 15% upsell opportunity in the mid-tier customer segment
• Assisted with quarterly A/B tests for promotional email campaigns, contributing to a 12% lift in Q4 2023 conversion rates

Mid-Level (3-6 years experience)

Data Analyst, B2B SaaS Inc, 2020-2024

• Designed a churn prediction model using Python and scikit-learn that identified at-risk customers with 82% accuracy, reducing monthly customer churn by 9% over 6 months
• Led cross-functional alignment with sales and product teams to define 20+ core business KPIs, standardizing reporting across 8 departments and cutting redundant analysis requests by 35%

Optional Sections That Stand Out for Data Analyst Roles

If you have extra space on your 1-page resume, add sections that showcase hands-on data work not covered in your formal work experience. Skip generic sections like hobbies unless they directly relate to data work (e.g., volunteer data analysis for a local non-profit). High-impact optional sections include:

• Data projects: List personal or academic data projects, including links to your code repository and live visualizations, with a 1-line summary of the project’s goal and outcome
• Certifications: List relevant, active certifications like the Google Data Analytics Certificate, Tableau Desktop Specialist, or AWS Certified Data Analytics
• Presentations: If you have presented data work at meetups, conferences, or published case studies on your personal blog, include these to demonstrate data storytelling skills