Data modeler with 8 years of experience designing conceptual, logical and physical models for healthcare payers and retail. Redesigned a member data model that removed 1.2M duplicate records and simplified 40 downstream reports. Expert in ER/Studio, normalization and dimensional design, with strong partnerships across data stewards and engineers.
Experience
Data Modeler, Evergreen Health Plans (Portland, OR)
Jul 2021 – Present
Redesigned the member and eligibility model with a golden-record key, removing 1.2M duplicate members
Maintained logical and physical models for 600 tables in ER/Studio with full naming standards
Designed dimensional marts for claims and pharmacy, cutting analyst query complexity and runtime 50%
Partnered with data stewards to map HIPAA-sensitive fields and classify 2,000 attributes
A strong Data Modeler 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 Modeler resume FAQ
What should a Data Modeler resume include?
A Data Modeler 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 Modeler?
Classic, Modern and Compact work well for Data Modeler roles. They are single-column with standard headings, so applicant tracking systems (ATS) parse them reliably.
How long should a Data Modeler resume be?
One page for most candidates; move to two only if every line is relevant.
Which skills should a Data Modeler put on a resume?
Prioritize the skills named in the job posting. Common ones for Data Modeler roles are SQL, Python or R, Statistics, Machine learning, Data modeling and dbt and ELT pipelines.
How do I write strong Data Modeler 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."