Data Analyst resume
What the hiring manager reads first
All roles Data and analytics Reading notes, not rules
Summary
A data lead usually looks first for the question an analysis answered, the method and tools, and who used the result.
Also posted as: reporting analyst, insights analyst, marketing analyst, operations analyst, product analyst, junior data analyst.
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Read first
- A decision your analysis changed, with the metric
- SQL, Python or spreadsheet work and the size of the data
- Dashboards people used
- Who relied on your work
One line, before and after
Original: Built a funnel analysis in SQL and Looker. Found the step where trials dropped off; trial conversion rose 3 points after the fix.Suggested: Found the step where trials dropped off with a SQL and Looker funnel analysis; trial conversion rose 3 points after the fix.
Why this changedThe finding and the outcome lead, without claiming the fix itself. Every figure in the rewrite is in the original line; nothing is added.
Section order
- Summary
- Experience
- Projects
- Skills
- Education
Where your resume has these sections. A section your resume does not have is not added.
Mistakes that cost interviews
- Tool lists without a decision
- Causal claims the analysis did not show
- Tool lists without a question answered
Evidence that counts in data and analytics
- A decision or outcome the work informed, as documented
- Method: analysis, experiments, models, dashboards, pipelines
- Tools where they were used: SQL, Python, dbt, BI tools
- Scale of data and the people served
- Data quality or pipeline work others relied on
Use what your resume already shows. A line without a number can still be strong when it says clearly what you did and where.
These are common reading conventions drawn from hiring guides and career services, not rules every employer follows.