Data Analyst resume example

This Data Analyst example shows how analytics candidates should package insight work: clear problem framing, tools recruiters search for, and business outcomes attached to every analysis. The Senior Data Analyst positioning makes seniority obvious before the first bullet.

Alex Morgan

Senior Data Analyst

+1 555 0100·alex.morgan@email.com·linkedin.com/in/alexmorgan·Austin, TX

Professional Summary

Senior Data Analyst with 6 years of experience turning commercial and operational data into decisions for subscription businesses. Specialises in SQL, Python, Tableau, experimentation, and executive reporting. Improved forecast accuracy by 27% and identified $3.4M in annual revenue opportunities.

Technical Skills

Analysis: SQL, Python, Excel, Statistical Analysis

Visualisation: Tableau, Power BI, Looker

Data Platforms: Snowflake, BigQuery, dbt

Business Methods: Forecasting, Cohort Analysis, A/B Testing

Communication: Executive Reporting, Data Storytelling, Requirements

Professional Experience

Senior Data Analyst2022 – Present

Brightline CommerceAustin, TX

Led analytics for 5 business units after being promoted, advising leaders on $28M in annual spend.
Drove forecast accuracy from 71% to 90% by rebuilding demand models across 14 product categories.
Reduced monthly reporting time by 62% through governed SQL models and automated Tableau refreshes.
Scaled self-service analytics from 35 to 240 users while maintaining 98% dashboard adoption.

Technologies Used: SQL, Python, Snowflake, dbt, Tableau

Data Analyst2020 – 2022

Orbit Subscription Co.Chicago, IL

Built 26 executive dashboards that exposed $3.4M in retention and expansion opportunities.
Automated weekly KPI reporting for 9 teams, eliminating 32 hours of manual work each month.
Increased experiment velocity by 40% through reusable templates covering 18 A/B tests annually.
Streamlined data-quality triage, cutting unresolved metric discrepancies from 23 to 4 per quarter.

Technologies Used: SQL, Excel, Power BI, BigQuery

Projects

Customer Churn Early-Warning Model2023 – 2024

Cross-functional retention model prioritising accounts for proactive outreach.

Launched a churn-risk model with 84% precision across 68,000 active customer records.
Delivered weekly account signals that improved save-rate performance by 16% in 2 quarters.

Technologies Used: Python, SQL, Snowflake

Education

B.S. Economics and Statistics2020

University of Texas at AustinGPA: 3.8/4.0

Certifications

Microsoft Certified: Power BI Data Analyst Associate
Tableau Certified Data Analyst

What makes this data analyst resume strong

Action verbs for analytical work

Bullets start with verbs like Led, Drove, Reduced, Scaled, Built, Automated, Increased, Streamlined. Analysts often under-sell impact by writing “worked on dashboards”; these openings instead claim authorship of models, pipelines, and stakeholder decisions. Alternating discovery verbs (Identified, Analysed) with delivery verbs (Built, Automated) proves both curiosity and production discipline.

Metrics that prove commercial value

Quantification is explicit: "Led analytics for 5 business units after being promoted, advising leaders on $28M in annual spend." "Drove forecast accuracy from 71% to 90% by rebuilding demand models across 14 product categories." "Reduced monthly reporting time by 62% through governed SQL models and automated Tableau refreshes." "Scaled self-service analytics from 35 to 240 users while maintaining 98% dashboard adoption." Revenue, retention, and cycle-time figures translate SQL work into executive language. Where exact dollars appear beside percentages, the resume gives finance and product readers something to trust in a 20-second skim.

Summary architecture

The summary names the role, the analytical toolkit, and one flagship business result. Skills clusters (SQL, visualisation, statistics, stakeholder communication) mirror how job descriptions are written, raising ATS keyword coverage without stuffing. Education and certifications reinforce credibility for regulated or finance-adjacent analyst roles.

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