Experimentation analyst with 5 years of experience running and auditing online experiments for e-commerce and travel products. Built an experimentation review process that raised the share of trustworthy test results from 60% to 95%. Deep in statistics for A/B testing and in coaching product teams on test design.
Experience
Experimentation Analyst, Wayfarer Travel Booking (Chicago, IL)
Oct 2022 – Present
Created a pre-registration and review process for 250 tests a year, raising tests with valid results from 60% to 95%
Implemented sample-ratio-mismatch alerts and CUPED in the in-house platform, cutting average test duration 25%
Analyzed a checkout test program that delivered $6.5M in incremental annual bookings
Ran experimentation training for 80 product managers, designers and engineers
Data Analyst, Optimization, Lattice Home Furnishings (Milwaukee, WI)
Jul 2020 – Sep 2022
Analyzed 60 site experiments in Optimizely, including a product-page redesign that lifted conversion 4%
Built power calculators in R that helped teams size tests correctly before launch
Research Assistant, Marquette Economics Department (Milwaukee, WI)
Jan 2018 – May 2019
Ran randomized survey experiments on 1,800 respondents for a faculty study
Education
M.S. in Analytics, University of Chicago (Sep 2019 – Jun 2020)
B.S. in Mathematics, Marquette University (Aug 2015 – May 2019)
Skills
Statistics: hypothesis testing, power analysis, CUPED, sequential testing, Bayesian A/B
A strong Experimentation 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
Experimentation Analyst resume FAQ
What should a Experimentation Analyst resume include?
A Experimentation 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 Experimentation Analyst?
Classic, Modern and Compact work well for Experimentation Analyst roles. They are single-column with standard headings, so applicant tracking systems (ATS) parse them reliably.
How long should a Experimentation Analyst resume be?
One page for most candidates; move to two only if every line is relevant.
Which skills should a Experimentation Analyst put on a resume?
Prioritize the skills named in the job posting. Common ones for Experimentation Analyst roles are SQL, Python or R, Statistics, Machine learning, Data modeling and dbt and ELT pipelines.
How do I write strong Experimentation 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."