Revenue analyst with 5 years of experience in B2B SaaS, covering bookings, ARR reporting and revenue forecasting. Built a bottoms-up forecast that landed within 2% of actual for six straight quarters. Works closely with finance, sales operations and accounting to keep revenue numbers consistent and ASC 606 compliant.
Experience
Revenue Analyst, Quarry Cloud Systems (Austin, TX)
May 2022 – Present
Built a bottoms-up ARR forecast from Salesforce pipeline and renewal data, landing within 2% of actuals for 6 consecutive quarters
Reconciled bookings to billings for $85M ARR, reducing month-end revenue adjustments 70%
Analyzed net revenue retention by segment, informing an expansion motion that added $3.1M ARR
Supported ASC 606 revenue schedules for multi-element contracts with the accounting team
Financial Analyst, Granite Point Software (San Antonio, TX)
Jul 2020 – Apr 2022
Produced monthly bookings and churn reports for the CFO and board
Built a discount-approval analysis that cut average discounting from 18% to 12%
Supported quarterly board decks with bookings, churn and cash collection metrics
Equity Research Analyst, Longhorn Investment Club (Austin, TX)
Sep 2018 – May 2020
Built DCF models for 6 software companies pitched to the club's portfolio committee
Education
B.B.A. in Finance, University of Texas at Austin (Aug 2016 – May 2020)
A strong Revenue 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
Revenue Analyst resume FAQ
What should a Revenue Analyst resume include?
A Revenue 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 Revenue Analyst?
Classic, Modern and Compact work well for Revenue Analyst roles. They are single-column with standard headings, so applicant tracking systems (ATS) parse them reliably.
How long should a Revenue Analyst resume be?
One page for most candidates; move to two only if every line is relevant.
Which skills should a Revenue Analyst put on a resume?
Prioritize the skills named in the job posting. Common ones for Revenue Analyst roles are SQL, Python or R, Statistics, Machine learning, Data modeling and dbt and ELT pipelines.
How do I write strong Revenue 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."