Resume Example

Data Analyst / Data Scientist Resume Example

Data analyst resumes should demonstrate your ability to translate data into business decisions. Lead with tools and languages, then show how your analyses drove revenue, reduced costs, or improved operations.

TechSalary: $75K – $140K

What to Write on Your Data Analyst / Data Scientist Resume

Use quantified achievement bullets instead of generic duties. Here are examples tailored for data analyst / data scientist roles:

1Built automated dashboards in Tableau tracking $50M revenue pipeline, reducing executive reporting time from 8 hours to 15 minutes weekly.
2Developed customer churn prediction model using Python (scikit-learn) achieving 89% accuracy, enabling proactive retention campaigns that saved $2.1M annually.
3Designed and analyzed 25+ A/B tests for product team, driving a 15% increase in user activation rate.
4Migrated legacy Excel reporting to a cloud-based data warehouse (BigQuery), processing 10M+ rows daily with 99.9% uptime.

Top Skills for a Data Analyst / Data Scientist Resume

Include these high-value keywords to pass ATS filters and catch recruiter attention:

SQLPython/RTableau/Power BIExcel (Advanced)Statistical AnalysisA/B TestingETL PipelinesMachine LearningData WarehousingStakeholder ReportingBigQuery/Snowflake

Data Analyst / Data Scientist Resume Tips

List specific tools: SQL, Python, Tableau, Power BI, Excel

Quantify business impact of your analyses

Include types of analysis: cohort, regression, forecasting

Mention data volumes you've worked with

Show stakeholder communication skills

Best Resume Templates for Data Analyst / Data Scientist

Template: Modern ATS

Emily Rodriguez

UX Designer

emily.rodriguez@email.com|(212) 555-0847|New York, NY|linkedin.com/in/emilyrodriguez|emilyux.design

Professional Summary

User-centered UX designer with 6+ years of experience crafting intuitive digital products for SaaS, fintech, and e-commerce platforms. Passionate about accessibility, design systems, and data-informed design decisions that drive measurable business outcomes.

Experience

FinLeap TechnologiesNew York, NY

Senior UX DesignerMar 2022 – Present

Led the redesign of the core banking dashboard used by 400K+ users, increasing task completion rates by 34% and reducing support tickets by 28%.
Built and maintained a design system with 120+ components adopted across 4 product teams, reducing design-to-dev handoff time by 50%.
Conducted 60+ user interviews and usability tests to validate new onboarding flows, resulting in a 41% improvement in activation rates.
Partnered with product and engineering to define accessibility standards, achieving WCAG 2.1 AA compliance across all customer-facing products.

ShopStreamBrooklyn, NY

UX DesignerJan 2020 – Feb 2022

Designed the end-to-end checkout experience for a $200M ARR e-commerce platform, reducing cart abandonment by 22%.
Created interactive prototypes and ran A/B tests on 15+ feature variations, directly contributing to a 18% increase in conversion rates.
Collaborated with the data team to build user journey maps and identify key drop-off points across the purchase funnel.

Pixel & Code AgencyAustin, TX

Junior UX DesignerJun 2018 – Dec 2019

Delivered wireframes, user flows, and high-fidelity mockups for 12+ client projects across healthcare, education, and retail industries.
Introduced a standardized usability testing process that became the agency's default for all client engagements.

Skills

Design: User Research • Wireframing • Prototyping • Interaction Design • Usability Testing • Design Systems

Tools: Figma • Sketch • Adobe XD • InVision • Miro • Hotjar • Maze

Technical: HTML/CSS • React basics • Accessibility (WCAG 2.1) • Design Tokens

Projects

FinLeap Design System (Open Source)

Architected a Figma-based design system published on GitHub with 800+ stars, used by 3 internal teams and 2 external partners.

Education

Parsons School of Design — B.F.A. Communication Design

2014 – 2018

Certifications

Google UX Design Professional Certificate • Nielsen Norman Group UX Certification

Tip: Keep formatting simple for ATS. This template is optimized for applicant tracking systems.

Modern ATS

Single-column, clean layout optimized for applicant tracking systems.

Template: Two-Column

Daniel Stern

Data Analyst

Contact

daniel.stern@email.com

(312) 555-4291

Chicago, IL

linkedin.com/in/danielstern

Skills

Analytics

SQLPythonRStatistical ModelingA/B TestingRegression Analysis

Visualization

TableauPower BILookerGoogle Data StudioD3.js

Tools

BigQuerySnowflakedbtAirflowExcel/Google SheetsJupyter

Education

Northwestern University

M.S. Analytics

2015 – 2017

University of Illinois Urbana-Champaign

B.S. Statistics

2011 – 2015

Certifications

Google Data Analytics Professional Certificate
Tableau Desktop Certified Professional

Professional Summary

Detail-oriented data analyst with 5+ years transforming complex datasets into actionable business insights. Expertise in statistical modeling, dashboard development, and cross-functional storytelling that drives data-informed decision-making across the organization.

Experience

Senior Data AnalystApr 2022 – Present

Uber · Chicago, IL

Built executive-level dashboards tracking $2B+ in ride revenue across 15 US markets, reducing report generation time from 3 days to real-time.
Developed a driver churn prediction model with 87% accuracy, enabling targeted retention campaigns that saved $4.2M annually.
Partnered with product teams to design and analyze 25+ A/B tests, directly influencing feature launches impacting 80M+ users.
Created automated data quality monitoring pipelines that detected anomalies 6x faster than manual review processes.

Data AnalystAug 2019 – Mar 2022

Groupon · Chicago, IL

Analyzed customer purchase patterns across 500K+ transactions to identify cross-sell opportunities worth $8M in annual revenue.
Built a customer segmentation framework using k-means clustering that improved email campaign ROI by 32%.
Designed Tableau dashboards adopted by 50+ stakeholders across marketing, finance, and operations departments.

Business AnalystJun 2017 – Jul 2019

Deloitte Consulting · Chicago, IL

Delivered data analysis and visualization for 6 Fortune 500 clients across retail, healthcare, and financial services sectors.
Automated weekly reporting for a $500M revenue client, saving 20+ hours per month in manual data processing.

Projects

Chicago Transit Optimization

Built a predictive model for CTA bus delays using public transit data, published findings at the Midwest Analytics Conference.

Two-Column

Sidebar for skills and contact, main column for experience.

Template: Blueprint

Elena Covenant

ML Engineer

elena.covenant@email.com(212) 555-4392New York, NYlinkedin.com/in/elenacovenantgithub.com/ecovenant

Summary

Machine learning engineer with 5+ years building and deploying ML models across recommendation systems, NLP, and fraud detection. Strong foundation in distributed systems and data engineering with a focus on scalable, production-grade ML infrastructure.

Skills

ML/Data

Feature EngineeringExpert

Engineering

Education

Columbia University

M.S. Data Science

2016 – 2018

University of Michigan

B.S. Computer Science

2012 – 2016

Employment History

Senior ML Engineer

Spotify

Jan 2022 – Present· New York, NY

Built the next-generation podcast recommendation engine serving 200M+ users, increasing listen-through rates by 28%.
Designed a real-time feature store processing 1B+ events daily, reducing feature freshness from hours to seconds.
Led migration of ML training pipelines to Kubeflow, reducing model iteration cycles from 2 weeks to 3 days.
Collaborated with product teams to define ML-driven KPIs and experimentation frameworks for content discovery.

ML Engineer

Two Sigma

Aug 2019 – Dec 2021· New York, NY

Developed NLP models for financial document analysis, extracting structured data from 10K+ earnings reports quarterly.
Built an anomaly detection system for trading signals that flagged 94% of market microstructure irregularities.
Optimized feature pipelines using Apache Spark, reducing compute costs by 35% while processing 5TB+ daily.

Applied Scientist

Amazon

Jun 2018 – Jul 2019· Seattle, WA

Developed fraud detection models for Amazon Pay processing $2B+ in monthly transactions with 99.8% precision.
Implemented real-time model serving on AWS SageMaker with sub-10ms P99 latency.

Projects

RecSys Challenge Winner

1st place in ACM RecSys 2021 Challenge for session-based recommendation with novel transformer architecture.

Certifications

AWS Machine Learning Specialty • Databricks Certified ML Professional

Blueprint

Bold oversized name with grid layout and blue accents — modern and structured.

Frequently Asked Questions

What technical skills should a data analyst list?

SQL (required), Python or R, Tableau or Power BI, Excel, and cloud platforms. Include specific databases and data warehouses you've worked with.

How do I show business impact on a data analyst resume?

Connect every analysis to a business outcome — revenue generated, costs saved, efficiency improved, decisions enabled. Use dollar amounts and percentages.

Should I include Kaggle projects on my resume?

For junior analysts, yes. Kaggle competitions and personal projects demonstrate practical skills. Senior analysts should focus on professional experience.

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