Data Analyst Resume Examples

Three example resumes, from entry level to senior, each written for what Data Analyst job postings at that level ask for and measured against them.

Updated September 2026 路 Scored against 31,011 job postings

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Data Analyst

Entry level, 0 to 2 years

Entry level Data Analyst resume

It matches an average of 70% of the 150 most requested skills in the 2,343 entry level Data Analyst job postings we scanned. A fictional candidate with 0 to 2 years of experience at invented employers. Highlighted words are skills Data Analyst jobs ask for.

87
Resume score
70
Avg. match

Sofia Alvarez

Data Analyst

Milwaukee, WI 路 (414) 555-0186 路 sofia.alvarez@example.com 路 linkedin.com/in/example

Summary

Data analyst with almost two years of data analysis and business analytics in retail and insurance, after a statistics degree and a data analytics internship. Writes SQL queries, cleans and validates data in Python and Microsoft Excel, and builds Power BI and Tableau dashboards that turn complex data sets into data driven decisions for finance, marketing and supply chain teams.

Education

B.S. in Statistics, minors in Mathematics and Computer Science, Lakeshore State University, 2024

Skills

Programming languages
SQL, Python (pandas), R
Analysis
Microsoft Excel (pivot tables, formulas), Google Sheets, Statistical analysis, A/B testing
Business intelligence
Power BI, Tableau, Dashboarding, Data visualization, KPIs
Data
Data cleaning, Data quality

Experience

Data Analyst I, Northfield Grocers

Milwaukee, WI 路 2025 to present

  • Built Power BI dashboards on store KPIs for 60 managers from SQL queries against the sales database, replacing a weekly Microsoft Excel pack.
  • Cleaned and validated 3 years of supply chain data in Python, raising data accuracy on vendor lead times from 82% to 99% before a forecasting project.
  • Helped run exploratory data analysis on promotions for the marketing team and presented the findings with Tableau data visualization for promotion optimization.
  • Added data quality checks to the nightly sales refresh, catching 95% of data integrity issues before reports go out.
  • Led data collection and data manipulation on 1.2 million loyalty records in Python for the data science team, giving its first churn model a clean training set.
  • Pulled 3 years of point of sale data with SQL for a pricing review, then handed the queries to the engineers who now run them daily.
  • Helped test a new SQL formatting tool, which the team later adopted.

Data Analytics Intern, Bluewater Mutual Insurance

Madison, WI 路 Summer 2024

  • Created a claims report in SQL and Excel pivot tables for the finance team, covering 15,000 claims a month and used in every monthly close since.
  • Documented the plan in Microsoft Office for a customer data migration of 200,000 records, presenting weekly status in Microsoft PowerPoint to the leadership team.
  • Helped automate recurring Excel reports with Python and joined the data management review.

Capstone Project, Hospital Readmission Analytics, Lakeshore State University

Milwaukee, WI 路 2024

  • Applied quantitative methods, statistical analysis and machine learning in Python to a public healthcare data set of 100,000 admissions.
  • Designed an interactive Tableau dashboard of readmission risk across diagnoses.
  • Modeled the data in a relational database, with SQL and Python coding for every query.

New to the field? The student resume guide covers resumes with little or no work history.

Measured

How well it matches real entry level Data Analyst jobs

Each column counts entry level Data Analyst job postings by how many of the top 150 skills they ask for this resume matches.

Entry level Data Analyst resume example: skill match across 2,343 job postings

How many entry level Data Analyst job postings this example resume matches at each level of coverage. Among the top 150 skills, it averages 70% of the skills asked for.

under 20% 20-39% 40-59% 60-79% 80-100%

Share of a job posting's skills this resume matches

Source: skillsyncer.com/resume-examples/data-analyst 路 CC BY 4.0

Start from your own resume and make it match the entry level Data Analyst job you want.

Build mine free

Keywords

Which top Entry level keywords it uses

The skills entry level Data Analyst jobs ask for most, ticked where this resume names them. The ones that matter most appear in a bullet that shows the work, not only in the skills list.

Entry level Data Analyst resume example: top keywords used

The 20 skills entry level Data Analyst jobs ask for most, ticked where this example resume uses them, with the share of those job postings asking for each.

  • SQL 67% of jobs
  • Microsoft Excel 55% of jobs
  • Python 52% of jobs
  • Business Intelligence 49% of jobs
  • Dashboarding 47% of jobs
  • Power BI 41% of jobs
  • Tableau 38% of jobs
  • Data Visualization 36% of jobs
  • Database 29% of jobs
  • Data Science 28% of jobs
  • Querying 27% of jobs
  • Data-Driven 27% of jobs
  • Mathematics 20% of jobs
  • Programming 18% of jobs
  • Finance 18% of jobs
  • Data Quality 17% of jobs
  • Testing 14% of jobs
  • Data Modeling 13% of jobs
  • Data Collection 12% of jobs
  • KPIs 12% of jobs

Source: skillsyncer.com/resume-examples/data-analyst 路 CC BY 4.0

Mid level, 3 to 6 years

Mid level Data Analyst resume

It matches an average of 77% of the 150 most requested skills in the 25,766 mid level Data Analyst job postings we scanned. A fictional candidate with 3 to 6 years of experience at invented employers. Highlighted words are skills Data Analyst jobs ask for.

88
Resume score
77
Avg. match

Dana Kowalski

Data Analyst

Columbus, OH 路 (614) 555-0127 路 dana.kowalski@example.com 路 linkedin.com/in/example

Summary

Data analyst with five years of data analysis, data analytics, data visualization and business intelligence in retail and healthcare. Writes the SQL queries, owns data quality, data integrity and data governance for the tables used, builds dashboards in Power BI and Tableau, and turns complex data sets into data driven decisions for finance and operations. Works closely with data engineering on the data warehouse and with data science on machine learning forecasts.

Experience

Data Analyst, Juniper Lane Outfitters

Columbus, OH 路 2023 to present

  • Rebuilt regional sales analytics and dashboarding in Power BI for 35 managers, replacing 8 emailed Excel files and saving 20 hours a week, with artificial intelligence summaries on each page.
  • Implemented SQL data quality checks on 40 core tables that flag data accuracy and data integrity issues before the morning refresh, cutting report corrections from weekly to twice a quarter.
  • Worked with several teams to gather business requirements and map their business processes before building the reporting layer of the Snowflake data warehouse.
  • Worked on the data modeling behind company KPIs in dbt, so marketing and sales report one number for pipeline.
  • Built the data pipeline on AWS that handles data collection from 14 source systems, with data cleaning and data manipulation in Python for 50 million rows a month.
  • Worked with data science on a machine learning demand forecast for the supply chain; stockouts fell 15% in two distribution centers.
  • Presented a markdown optimization analysis in Microsoft Office and PowerPoint to the executive team, which adopted it and saved $300K in a season, and set the team data management rules for 3 reporting tools.

Junior Data Analyst, Crescent Valley Health

Dayton, OH 路 2021 to 2023

  • Developed the SQL and Python coding behind a weekly no-show report, a data driven change that cut missed appointments by 8%.
  • Helped design A/B tests on appointment reminders, using quantitative methods and statistical analysis to decide which to keep.
  • Replaced 20 recurring Excel pivot table reports with ETL automation into relational databases, moving them to Microsoft Azure with the information systems team.
  • Led quarterly auditing of healthcare billing data against source systems, recovering $250K in missed charges.
  • Ran data mining on 2 years of scheduling data in Agile sprints, and the project management office used the results to plan 3 new clinics.

Skills

Programming languages
SQL, Python, R
Business intelligence
Power BI (DAX), Tableau, Looker, Dashboarding, KPIs, Microsoft Excel (pivot tables)
Data
Data modeling, Data governance, dbt, Snowflake, ETL, Statistical analysis

Education

B.S. in Mathematics, minor in Computer Science, Northern Ohio University, 2021

Measured

How well it matches real mid level Data Analyst jobs

Each column counts mid level Data Analyst job postings by how many of the top 150 skills they ask for this resume matches.

Mid level Data Analyst resume example: skill match across 25,766 job postings

How many mid level Data Analyst job postings this example resume matches at each level of coverage. Among the top 150 skills, it averages 77% of the skills asked for.

under 20% 20-39% 40-59% 60-79% 80-100%

Share of a job posting's skills this resume matches

Source: skillsyncer.com/resume-examples/data-analyst 路 CC BY 4.0

Start from your own resume and make it match the mid level Data Analyst job you want.

Build mine free

Keywords

Which top Mid level keywords it uses

The skills mid level Data Analyst jobs ask for most, ticked where this resume names them. The ones that matter most appear in a bullet that shows the work, not only in the skills list.

Mid level Data Analyst resume example: top keywords used

The 20 skills mid level Data Analyst jobs ask for most, ticked where this example resume uses them, with the share of those job postings asking for each.

  • SQL 70% of jobs
  • Business Intelligence 53% of jobs
  • Dashboarding 52% of jobs
  • Python 47% of jobs
  • Microsoft Excel 44% of jobs
  • Power BI 41% of jobs
  • Tableau 39% of jobs
  • Data Visualization 32% of jobs
  • Database 32% of jobs
  • Querying 31% of jobs
  • Finance 26% of jobs
  • Data-Driven 25% of jobs
  • Data Quality 21% of jobs
  • Data Science 19% of jobs
  • Data Modeling 19% of jobs
  • KPIs 19% of jobs
  • Testing 18% of jobs
  • Mathematics 16% of jobs
  • Programming 15% of jobs
  • Automation 15% of jobs

Source: skillsyncer.com/resume-examples/data-analyst 路 CC BY 4.0

Senior, 7+ years

Senior Data Analyst resume

It matches an average of 80% of the 150 most requested skills in the 2,596 senior Data Analyst job postings we scanned. A fictional candidate with 7+ years of experience at invented employers. Highlighted words are skills Data Analyst jobs ask for.

92
Resume score
80
Avg. match

Lena Park

Senior Data Analyst

Charlotte, NC 路 (704) 555-0164 路 lena.park@example.com 路 linkedin.com/in/example

Summary

Senior data analyst with nine years of data analysis and data analytics in financial services, healthcare and SaaS, leading data driven decisions for product, marketing and claims. Designs the data models and databases, writes advanced SQL queries and dbt, sets data governance standards with data engineering, and builds self service business intelligence and data visualization in Looker, Tableau and Power BI. Known for turning complex data sets into a clear narrative that executives act on.

Experience

Senior Data Analyst, Harborview Financial

Charlotte, NC 路 2021 to present

  • Lead analytics for the claims and underwriting group, owning the data solutions behind its dashboards in Looker and Tableau.
  • Designed the dbt data models and data governance standards for the Snowflake data warehouse with data engineering, so finance, marketing and product report the same 25 KPIs.
  • Launched self service business intelligence that cut ad hoc SQL query requests to the team by 60% in a year.
  • Ran A/B testing on the claims portal with product management and presented the results as a narrative for executives; 2 changes cut claim handling time by 18%.
  • Built a machine learning forecasting model for claim volume in Python with the data science team, using statistical analysis for staffing optimization and saving $1.2M a year across 3 regions.
  • Set business requirements and the business strategy for analytics in Agile quarterly planning, and led the project management of 5 data projects.
  • Built automation for data collection, data accuracy and data integrity checks with Python scripting and ETL on AWS and Microsoft Azure, catching 98% of issues before they reach a dashboard.

Data Analyst II, Cloudline Software

Raleigh, NC 路 2018 to 2021

  • Engineered the SaaS revenue data pipeline from Salesforce CRM and billing into BigQuery, with data quality tests at each of 14 data transformation steps.
  • Created Power BI data visualization on customer experience and churn for the leadership team.
  • Applied data mining and artificial intelligence text analysis to 80,000 support tickets, surfacing the 5 causes behind 60% of churn.
  • Helped map business processes across billing and support, and recommended data management fixes.

Data Analyst, Tidewater Bank

Norfolk, VA 路 2016 to 2018

  • Queried banking product data in SQL and SAS for marketing and auditing across relational databases.
  • Automated the monthly reporting pack with Excel and Python coding, cutting preparation from 3 days to 4 hours.
  • Analyzed branch performance for the finance team; the analysis informed the closure of 4 underused branches and data warehousing of branch history.

Skills

Programming languages
Advanced SQL, Python, R
Business intelligence
Looker, Tableau, Power BI, Dashboarding, Data storytelling
Data platform
dbt, Snowflake, BigQuery, Data modeling, Data governance, ETL

Education

M.S. in Business Analytics, Carolina Central Institute, 2016

B.S. in Mathematics and Computer Science, Carolina Central Institute, 2015

Measured

How well it matches real senior Data Analyst jobs

Each column counts senior Data Analyst job postings by how many of the top 150 skills they ask for this resume matches.

Senior Data Analyst resume example: skill match across 2,596 job postings

How many senior Data Analyst job postings this example resume matches at each level of coverage. Among the top 150 skills, it averages 80% of the skills asked for.

under 20% 20-39% 40-59% 60-79% 80-100%

Share of a job posting's skills this resume matches

Source: skillsyncer.com/resume-examples/data-analyst 路 CC BY 4.0

Start from your own resume and make it match the senior Data Analyst job you want.

Build mine free

Keywords

Which top Senior keywords it uses

The skills senior Data Analyst jobs ask for most, ticked where this resume names them. The ones that matter most appear in a bullet that shows the work, not only in the skills list.

Senior Data Analyst resume example: top keywords used

The 20 skills senior Data Analyst jobs ask for most, ticked where this example resume uses them, with the share of those job postings asking for each.

  • SQL 88% of jobs
  • Dashboarding 63% of jobs
  • Business Intelligence 61% of jobs
  • Python 58% of jobs
  • Tableau 48% of jobs
  • Querying 38% of jobs
  • Power BI 37% of jobs
  • Finance 35% of jobs
  • Data Visualization 33% of jobs
  • Data-Driven 33% of jobs
  • Data Modeling 31% of jobs
  • Data Quality 31% of jobs
  • Microsoft Excel 28% of jobs
  • Testing 28% of jobs
  • Database 27% of jobs
  • Governance 25% of jobs
  • Data Science 25% of jobs
  • KPIs 24% of jobs
  • Looker 22% of jobs
  • Quantitative Analysis 21% of jobs

Source: skillsyncer.com/resume-examples/data-analyst 路 CC BY 4.0

Why no resume matches every job

Each example is written around the skills job postings at its level ask for most. But every company also names its own tools, platforms and industry terms: a Data Analyst job in healthcare, finance or retail asks for skills specific to that field. Fitting yours to one job is far easier: run a job scan and you see every keyword that job asks for, with AI suggestions for working the missing ones into your resume.

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See which of these keywords your resume is missing.

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Common questions

Will this resume match every Data Analyst job?

No, and no resume honestly does. Each example's match score only counts the 150 skills job postings at its level ask for most, out of as many as 12,848 different skills those job postings name. Against those 150, the entry level example matches an average of 70%, mid level 77% and senior 80%. The rest vary from one company to the next, which is why a scan against the one job you want beats any example.

Which level should I use?

The one that matches your years of experience: entry level for 0 to 2 years, mid level for 3 to 6 years, senior for 7+ years. Each is measured against job postings whose titles are at that level, so its skills are the ones those jobs ask for.

Can I use this if I am changing careers into a Data Analyst role?

Yes, as a map of what Data Analyst jobs ask for. Lead with the skills you already have that appear here, and our career change resume guide covers how to frame experience from another field.

Can I copy this resume?

Use it as a model, not a template to paste. The structure, the wording of the skills and the way each bullet pairs a tool with a result all transfer. The numbers have to be yours.

Is this a real person's resume?

No. The candidate and employers are invented. No real resume is shown on this page or anywhere in our Insights.

Tailor your Data Analyst resume

Scan your resume against the job you want and see exactly which keywords are missing.