See how a data analyst resume stacks up against a real job listing. This sample analysis evaluates technical skills, data storytelling, and business impact.
This data analyst resume matches 81% of a typical job listing's requirements
Python/R experience mentioned but not demonstrated with specific projects
Add concrete examples: "Built automated reporting pipeline in Python (pandas, matplotlib) that replaced 8 hours of weekly manual Excel work."
No portfolio or GitHub link for data projects
Add a projects section with links to Jupyter notebooks or dashboards. Hiring managers want to see your analytical thinking process, not just results.
Missing cloud data warehouse experience
Add experience with BigQuery, Snowflake, or Redshift. The job listing requires working with cloud-based data infrastructure.
The job listing requires dbt for data transformation. Your resume mentions ETL but not dbt specifically.
The company uses Looker as their primary BI tool. Adding Looker experience would be a strong advantage.
Basic ML knowledge (scikit-learn, classification, clustering) is listed as preferred. It would distinguish you from other analysts.
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