Data & Analytics · Mid-level

Data Analyst resume example

Data analyst resumes sink when they describe dashboards instead of decisions. Hiring managers scan for the business outcome your analysis changed — revenue found, churn explained, hours automated — with the tooling as supporting evidence rather than the headline.

The example below pairs every deliverable with the decision it drove, leads with the stack recruiters filter on (SQL, Python, a named BI tool), and keeps the layout in a single parseable column so the ATS reads your skills section correctly.

Professional summary example

Data Analyst with 4 years turning product and marketing data into revenue decisions. Built the attribution model that reallocated a $2M ad budget for an 18% ROAS lift, and consolidated 12 recurring reports into a self-serve dashboard used by 40+ stakeholders. Advanced SQL, Python, and Looker.

Achievement bullet examples

  • Built a multi-touch marketing attribution model (SQL, dbt) that reallocated $2M in annual ad spend, lifting blended ROAS 18% within two quarters.
  • Consolidated 12 recurring manual reports into one Looker dashboard adopted by 40+ stakeholders, saving roughly 25 analyst hours per month.
  • Identified a mobile checkout drop-off affecting 7% of sessions; the resulting fix recovered an estimated $400K in annual revenue.
  • Rebuilt churn forecasting in Python with the finance team, cutting month-ahead forecast error from 14% to 6%.

Skills to list on a data analyst resume

SQL (advanced)Python (pandas, NumPy)LookerTableaudbtA/B Testing & Experiment DesignData ModelingETL PipelinesGoogle BigQueryStakeholder Reporting

Writing tips for this role

Pair every tool with an outcome

A skills list of SQL, Python, and Tableau is table stakes — everyone applying has it. Rankings move when each bullet follows "tool → analysis → decision → number", because that pattern survives both the keyword filter and the hiring manager's skim.

Mirror the posting's exact BI stack

Postings hard-filter on their tooling. If the company runs Power BI and your resume only says "dashboarding", you lose the keyword match outright. Name their tools verbatim wherever you genuinely have the experience — and only there.

State data volume and stakeholder scope

Rows processed, tables owned, teams served. Scale numbers separate an analyst who owned a company-level metric from one who ran ad-hoc queries on request. Put at least one in your summary line.

Frequently asked questions

Do I need Python if the job posting only asks for SQL?

SQL is the filter; Python is the differentiator. List Python only at the level you could defend in an interview — a single honest automation bullet beats an inflated skills entry that collapses under a technical screen.

Should personal projects go on a data analyst resume?

Yes, when they use real, messy data and end in a decision or recommendation — ideally with a link to the dashboard or write-up. Tutorial datasets like Titanic or Iris add nothing a recruiter values.

How do I show impact if my work was internal reporting?

Quantify the consumption side: stakeholders served, analyst hours saved versus manual pulls, and the decisions your reports gate. Internal work is not unmeasurable — it just needs a different denominator.

Build your data analyst resume

Start from this structure in the free editor, then run the ATS check to verify it parses.

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