EasyResume

Three steps to your perfect resume

Import your data

Upload an existing resume or start from scratch — our guided editor walks you through it.

AI writes your story

Our AI transforms your experience into polished, ATS-friendly bullet points tailored to the role.

Download & apply

Get a beautifully formatted PDF ready to submit. Stand out from the competition.

Professional Summary

Senior Data Analyst with 7+ years of experience transforming complex datasets into actionable business insights. Proven track record of driving revenue growth through predictive modeling and cross-functional collaboration. Passionate about building scalable analytics solutions that empower data-driven decision-making.

Experience

Senior Data Analyst

Jan 2021 – Present

Stripe

Designed and maintained executive dashboards in Looker, reducing reporting turnaround from 5 days to under 4 hours.
Built a churn-prediction model (XGBoost) that identified at-risk merchants 30 days in advance, saving an estimated $1.8M ARR.
Partnered with Product and Engineering to instrument event tracking for 12 new features, improving funnel visibility by 40%.
Automated quarterly business reviews with Python + dbt, cutting manual effort by 60%.

Data Analyst

Jun 2017 – Dec 2020

Salesforce

Developed a customer segmentation framework using k-means clustering, enabling targeted campaigns that boosted conversion rates by 22%.
Created a real-time anomaly detection pipeline (PySpark) that flagged revenue discrepancies within 15 minutes.
Collaborated with the Finance team to build forecasting models, achieving 95% accuracy for quarterly revenue projections.

Professional Summary

Professional Experience

Senior Data Analyst — Stripe

Jan 2021 – Present

Designed and maintained executive dashboards in Looker, reducing reporting turnaround from 5 days to under 4 hours.
Built a churn-prediction model (XGBoost) that identified at-risk merchants 30 days in advance, saving an estimated $1.8M ARR.
Partnered with Product and Engineering to instrument event tracking for 12 new features, improving funnel visibility by 40%.
Automated quarterly business reviews with Python + dbt, cutting manual effort by 60%.

Data Analyst — Salesforce

Jun 2017 – Dec 2020

Developed a customer segmentation framework using k-means clustering, enabling targeted campaigns that boosted conversion rates by 22%.
Created a real-time anomaly detection pipeline (PySpark) that flagged revenue discrepancies within 15 minutes.
Collaborated with the Finance team to build forecasting models, achieving 95% accuracy for quarterly revenue projections.

About

Experience

Senior Data Analyst

Jan 2021 – Present

Stripe

Designed and maintained executive dashboards in Looker, reducing reporting turnaround from 5 days to under 4 hours.
Built a churn-prediction model (XGBoost) that identified at-risk merchants 30 days in advance, saving an estimated $1.8M ARR.
Partnered with Product and Engineering to instrument event tracking for 12 new features, improving funnel visibility by 40%.
Automated quarterly business reviews with Python + dbt, cutting manual effort by 60%.

Data Analyst

Jun 2017 – Dec 2020

Salesforce

Developed a customer segmentation framework using k-means clustering, enabling targeted campaigns that boosted conversion rates by 22%.
Created a real-time anomaly detection pipeline (PySpark) that flagged revenue discrepancies within 15 minutes.
Collaborated with the Finance team to build forecasting models, achieving 95% accuracy for quarterly revenue projections.

Education

M.S. in Data Science

2017

University of California, Berkeley

B.S. in Statistics

2015

University of Michigan

Certifications

Google Professional Data Engineer — Google Cloud, 2022

AWS Certified Data Analytics – Specialty — Amazon Web Services, 2021

Courses

Machine Learning Specialization — Stanford Online (Coursera), 2020

Experience

Senior Data Analyst

Jan 2021 – Present

Stripe

Designed and maintained executive dashboards in Looker, reducing reporting turnaround from 5 days to under 4 hours.
Built a churn-prediction model (XGBoost) that identified at-risk merchants 30 days in advance, saving an estimated $1.8M ARR.
Partnered with Product and Engineering to instrument event tracking for 12 new features, improving funnel visibility by 40%.
Automated quarterly business reviews with Python + dbt, cutting manual effort by 60%.

Data Analyst

Jun 2017 – Dec 2020

Salesforce

Developed a customer segmentation framework using k-means clustering, enabling targeted campaigns that boosted conversion rates by 22%.
Created a real-time anomaly detection pipeline (PySpark) that flagged revenue discrepancies within 15 minutes.
Collaborated with the Finance team to build forecasting models, achieving 95% accuracy for quarterly revenue projections.

Create a standout resume in minutes

Upload an existing resume to jump‑start your profile, or start from a clean slate with our guided editor — whichever you prefer.

Upload your Resume

Drag & drop your PDF file here, click to browse, or choose "Start from scratch" to build a resume from nothing.

Turn your experience into a job‑winning resume.

Emily Carter

About Me

Experience

Education

Skills

See the transformation

About

Experience

Skills

Three steps to your perfect resume

Import your data

AI writes your story

Download & apply

Ready to stand out?

Choose a Template

Professional Summary

Experience

Senior Data Analyst

Data Analyst

Education

M.S. in Data Science

B.S. in Statistics

Skills

Certifications

Courses

Languages

Professional Summary

Professional Experience

Education

Skills

Certifications

Courses

Languages

About

Experience

Senior Data Analyst

Data Analyst

Education

M.S. in Data Science

B.S. in Statistics

Certifications

Courses

Experience

Senior Data Analyst

Data Analyst

Education

Skills

Certifications

Courses

Languages

Create a standout resume in minutes

Upload your Resume