Data quality analyst with 4 years of experience profiling, monitoring and fixing data for e-commerce and supply chain systems. Built automated checks that caught 95% of data incidents before they reached dashboards. Skilled in SQL, Great Expectations and root-cause analysis with engineering teams.
Experience
Data Quality Analyst, Willowbrook Supply Co. (Columbus, OH)
Feb 2023 – Present
Built 320 automated validation checks in Great Expectations, catching 95% of data incidents before they reached reporting
Profiled product master data for 48,000 SKUs, correcting unit-of-measure errors that distorted inventory value by $700K
Established a data incident log and weekly triage with engineering, cutting mean time to resolve from 6 days to 2
Published a monthly data quality scorecard across completeness, accuracy and timeliness
Data Operations Associate, Buckeye Online Retail (Dublin, OH)
Jun 2021 – Jan 2023
Audited product catalog feeds from 120 vendors, raising listing accuracy to 98%
Wrote SQL reconciliation queries between order and fulfillment systems
Built Excel macros that checked vendor price files before upload
Project Volunteer, Bobcat Analytics Society (Athens, OH)
Sep 2019 – May 2021
Cleaned and validated city open-data datasets for a student traffic-safety project
Education
B.S. in Business Analytics, Ohio University (Aug 2017 – May 2021)
Skills
Data Quality: profiling, validation rules, reconciliation, root-cause analysis
Tools: SQL, Great Expectations, Python, Snowflake, Jira
Domains: product master data, inventory, order management
Reporting: data quality scorecards, Tableau
How to write a Data Quality Analyst resume
A strong Data Quality Analyst resume shows the questions you answered, the models or pipelines you shipped, and the decisions your analysis changed. Put your most relevant recent role first and make every bullet show a result, not a duty.
Sections, in order
Summary
Experience
Projects
Skills
Education
Length: One page for most candidates; move to two only if every line is relevant.
Summary: Write two or three lines: your role, your strongest skills, and one result that proves them.
Skills to feature
SQL
Python or R
Statistics
Machine learning
Data modeling
dbt and ELT pipelines
BI tools (Looker, Tableau, Power BI)
Experiment design
Data visualization
Stakeholder communication
Example bullet points
Built a churn model (gradient boosting, AUC 0.86) that targeted retention offers and saved $900k a year
Rebuilt the revenue dashboard on dbt and Looker, cutting refresh time from 6 hours to 20 minutes
Designed 25 A/B tests with sequential analysis, shortening the average test from 4 weeks to 10 days
Tips from recruiters
Pair every technique with the decision it informed; "built a model" alone says little.
List tools under grouped skills ("Analytics: SQL, dbt, Looker") so ATS keyword matches are exact.
Link a notebook, Kaggle profile or public analysis if you have one.
Recommended templates
Classic (ATS-friendly): Jake's-style LaTeX classic: small caps and hairline rules
Modern (ATS-friendly): Clean single column with accent headings and rules
Compact (ATS-friendly): Dense single column that fits long histories
Data Quality Analyst resume FAQ
What should a Data Quality Analyst resume include?
A Data Quality Analyst resume should show the questions you answered, the models or pipelines you shipped, and the decisions your analysis changed. Use these sections in this order: Summary, Experience, Projects, Skills and Education. Put your most relevant recent role first and make every bullet show a result, not a duty.
What is the best resume template for a Data Quality Analyst?
Classic, Modern and Compact work well for Data Quality Analyst roles. They are single-column with standard headings, so applicant tracking systems (ATS) parse them reliably.
How long should a Data Quality Analyst resume be?
One page for most candidates; move to two only if every line is relevant.
Which skills should a Data Quality Analyst put on a resume?
Prioritize the skills named in the job posting. Common ones for Data Quality Analyst roles are SQL, Python or R, Statistics, Machine learning, Data modeling and dbt and ELT pipelines.
How do I write strong Data Quality Analyst resume bullet points?
Start with an action verb, say what you did, and end with a measurable result such as forecast accuracy, revenue impact and query time. For example: "Built a churn model (gradient boosting, AUC 0.86) that targeted retention offers and saved $900k a year."