Data Analyst Resume Example & Template (Entry Level Too)

Use this sample as a starting point, then replace every line with your own numbers and tools. Hiring managers spend well under a minute on the first pass, so the top third has to say the job title, your strongest skills and one result.

MARCUS WEBB — Data Analyst Columbus, OH | (555) 014-2890 | name@email.com | linkedin.com/in/yourname

PROFESSIONAL SUMMARY Data analyst with 3 years turning retail data into decisions. Built 11 Tableau dashboards used by 90 store managers and found $480K in margin leakage through SQL analysis.

SKILLS SQL (PostgreSQL, BigQuery), Excel (pivot tables, Power Query), Tableau, Power BI, Python (pandas), A/B testing basics, data cleaning

EXPERIENCE Data Analyst — Midwest Retail Group, Columbus, OH (2023 to present)

Reporting Assistant — Midwest Retail Group, Columbus, OH (2022 to 2023)

EDUCATION B.S. Business Analytics, Ohio State University, 2022

CERTIFICATIONS

• Built 11 Tableau dashboards tracking sales and stock for 90 stores, replacing weekly spreadsheet packs
• Found $480K a year in margin leakage by joining promo, cost and sales data in SQL
• Automated 6 recurring reports with Python, saving 12 analyst hours a week
• Cleaned and reconciled daily sales feeds for 4 regions with 99.8% accuracy
• Documented 25 report definitions so numbers matched across teams
• Google Data Analytics Professional Certificate

• Experienced: Data analyst with 4 years in SQL, Tableau and Python. Dashboards I own are used by 200 managers weekly; analysis found $1.1M in cost savings over 2 years.
• Career changer: Operations coordinator turned analyst: automated my team's reporting in Excel and SQL, cutting prep time 70%, and completed the Google Data Analytics certificate.
• No experience / new grad: Analytics graduate with a 5-project portfolio (SQL, Tableau, Python) on public datasets, including a churn analysis presented to a local nonprofit that used it to cut donor loss 9%.

Mirror the exact wording of the job posting; applicant tracking systems match keywords literally.

Soft skills employers screen for in interviews: translating questions into queries, presenting to non-analysts, skepticism about dirty data.

• SQL: joins, aggregation, window functions (name the database: PostgreSQL, MySQL, BigQuery, Snowflake)
• Excel: pivot tables, lookups, Power Query
• One BI tool by name: Tableau, Power BI or Looker
• Python or R for cleaning and analysis (pandas, matplotlib)
• Data cleaning and validation; documentation of definitions
• Statistics basics: distributions, significance, A/B tests
• Stakeholder reporting and dashboard design

Entry level:

Mid-level:

Senior:

• Analyzed 250K rows of public transit data in SQL and published a Tableau dashboard; write-up has 3,000 views
• Rebuilt a manual weekly report in Power Query, cutting prep from 4 hours to 15 minutes
• Designed the KPI layer for a new product line: 14 metrics, documented and adopted by 5 teams
• Ran A/B test readouts for 20+ experiments; two pricing changes added $300K in annual revenue
• Led migration of reporting from spreadsheets to a governed BI stack for a 600-person company
• Hired and mentored 3 analysts; set the SQL style guide and review process

The Data Analyst resume template that matches this example is free to download as a PDF or an editable Word file. Open the Resume Templates page (the Resume Templates link above this article, or in the footer of any page), find the Data Analyst card and choose PDF or Word. The same page has a free ATS checker, so you can test your finished resume before you apply.

• Use standard section headings (Summary, Skills, Experience, Education) and a single-column layout with no tables, text boxes or graphics.
• Copy the job title and the top 6 to 8 skills from the posting into your resume wherever they are true for you.
• Start every bullet with an action verb and end with a number: volume handled, time saved, accuracy, money, people.
• Save as a PDF named Firstname-Lastname-Resume.pdf unless the posting asks for Word.
• Keep it to one page for under 10 years of experience; two pages only when every line earns its place.
• Put SQL and your BI tool in the summary line; those two keywords filter most data analyst postings.

• Can I be a data analyst with no experience? Yes: a portfolio of 3 to 5 projects on real public data (CMS, Census, Kaggle), a certificate such as Google Data Analytics, and strong Excel plus SQL get interviews for junior roles.
• What should an entry-level data analyst resume lead with? Skills and projects, above education. Name the dataset size, the tools and the finding in each project bullet.
• Do data analysts need Python? Not everywhere: SQL plus Excel plus one BI tool covers many roles, but Python widens the postings you qualify for and automation bullets stand out.