Data Analyst Resume Example (Left Sidebar Template)

Role-focused resume sample with the Left Sidebar layout. Use it as inspiration, then customize your own version in the CV Builder.

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Data Analyst ExampleLeft Sidebar
Professional Summary
Data Analyst with 6 years of experience building trusted reporting and actionable insights for product, finance, and operations. Strong in SQL, experimentation analysis, and storytelling.
Work Experience
Senior Data Analyst
2021 - Present
Northlane Retail, Remote
- Built KPI dashboards for executive reporting that reduced manual weekly reporting by 14 hours. - Partnered with marketing to optimize spend allocation, improving ROAS by 19%. - Developed data quality checks that reduced metric discrepancies across teams.
Data Analyst
2018 - 2021
Vertex Mobility, Atlanta, GA
- Analyzed funnel performance and customer cohorts to identify churn drivers and retention opportunities. - Supported A/B testing program and produced experiment readouts for product planning. - Maintained semantic reporting layer used by BI and operational teams.
Business Intelligence Analyst
2016 - 2018
Axis Group, Miami, FL
- Created Tableau dashboards for sales, inventory, and service operations teams. - Automated recurring extracts and transformations in Python and SQL. - Presented monthly insights with data-backed recommendations to department leaders.
Education
Bachelor of Science in Data
2015
State University, United States
Professional Development Coursework
2020
Continuing Education Program, Online

Why this Data Analyst resume works

This data analyst resume example is designed for both human recruiters and automated screening systems. It combines role-relevant achievements, structured sections, and scannable formatting in the Left Sidebar template.

  • It leads with measurable impact, including outcomes like: "Built KPI dashboards for executive reporting that reduced manual weekly reporting by 14 hours.".
  • It groups capabilities into practical skill categories (Analytics, BI & Visualization, Experimentation), then highlights key tools such as SQL, Python, Statistics, Cohort Analysis.
  • It shows progression across multiple roles so hiring teams can quickly understand scope, ownership, and career growth.
  • The left sidebar keeps skills and credentials visible early, which helps recruiters scan qualifications faster.

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