Clinical data analyst with 5 years in hospital quality and population health reporting. Built a sepsis bundle compliance report that helped raise SEP-1 compliance from 58% to 74% in one year. Knows Epic Clarity data well and works closely with nurses and physicians to define measures correctly.
Experience
Clinical Data Analyst, Mountain View Regional Health (Salt Lake City, UT)
Oct 2022 – Present
Built a daily SEP-1 compliance report from Epic Clarity that helped raise sepsis bundle compliance from 58% to 74% in 12 months
Write SQL and Tableau dashboards for readmissions, CLABSI and length-of-stay measures across 4 hospitals
Validate CMS core measure abstractions and submit data to NHSN on schedule each quarter
Partner with clinical leaders to define measure logic and document it in a shared data dictionary
Healthcare Data Analyst, Bonneville Health Plan (Provo, UT)
Jun 2021 – Sep 2022
Analyzed claims data for HEDIS gap reports used by care managers for 80,000 members
Automated monthly provider reports with SQL Server and SSRS
Education
M.S. Health Informatics, University of Utah (Aug 2019 – May 2021)
Compliance: HIPAA, data validation, measure specification
How to write a Clinical Data Analyst resume
A strong Clinical Data 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
Clinical Data Analyst resume FAQ
What should a Clinical Data Analyst resume include?
A Clinical Data 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 Clinical Data Analyst?
Classic, Modern and Compact work well for Clinical Data Analyst roles. They are single-column with standard headings, so applicant tracking systems (ATS) parse them reliably.
How long should a Clinical Data Analyst resume be?
One page for most candidates; move to two only if every line is relevant.
Which skills should a Clinical Data Analyst put on a resume?
Prioritize the skills named in the job posting. Common ones for Clinical Data Analyst roles are SQL, Python or R, Statistics, Machine learning, Data modeling and dbt and ELT pipelines.
How do I write strong Clinical Data 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."