Resume Guide · Data & Analytics
The Data Analyst resume, decoded.
Data analyst resumes need to showcase both technical proficiency (SQL, Python, Tableau) and business impact. ATS systems scan for specific analytics tools and methodologies that prove you can deliver insights.
ATS score92
Sofia Reyes
Data Analyst
Austin, TX · sofia.reyes@email.com
Experience
Data Analyst2022 – Present
Harborline Retail
- Identified $2M in annual savings through churn analysis of 400K customer records in PostgreSQL.
- Built Tableau dashboards tracking 15 KPIs, presented monthly to C-suite to guide pricing decisions.
- Automated ETL pipelines in Python, cutting weekly reporting time from 6 hours to 20 minutes.
Junior Data Analyst2020 – 2022
Metric & Co.
- Ran A/B tests on checkout flows, lifting conversion 12% across 3 regional markets.
- Maintained Power BI reports used by 40+ stakeholders across sales and operations.
Skills
SQLPythonTableauPower BIETLA/B TestingStatistical Analysis
Education
B.S. Statistics — UT Austin, 2020
- "Data Analyst" in the headline — the exact phrase the filter matches on.
- Dollar impact + record volume + named database. Every element is extractable.
- Exact tool names: "Tableau", "Power BI", "SQL" — never "visualization tools".
The problem
Where data analyst resumes die.
Before a recruiter ever sees your resume, parsing and ranking software decides whether they will. For data analysts, these are the failure points.
On the page
- 01Technical skills without business context
- 02Missing specific tool mentions (Tableau, Power BI)
- 03No evidence of stakeholder communication
- 04Vague "analyzed data" statements
Inside the ATS
- 05Tool names must be exact (Tableau, not "visualization tools")
- 06SQL variants matter: PostgreSQL, MySQL, BigQuery
- 07Missing "business intelligence" composite keyword
The fix
Same experience. Different resume.
Ranking algorithms reward specificity: metrics, named tools, scale. Here is the same line from a data analyst resume, before and after.
Before
Analyzed customer data to find insights.
After
Identified $2M in annual savings through churn analysis of 400K customer records in PostgreSQL.
Before
Created reports for management.
After
Built Tableau dashboards tracking 15 KPIs, presented monthly to C-suite to guide pricing decisions.
- Quantify insights: "Identified $2M savings through churn analysis" not "Analyzed churn"
- Name your tools: "Built Tableau dashboards tracking 15 KPIs for C-suite"
- Show end-to-end work: data collection → analysis → presentation → business impact
The vocabulary
The words the machine listens for.
These are the exact terms ATS filters scan data analyst applications for. If a keyword genuinely describes your experience, it belongs on the page — verbatim.
Skills
SQLPythonTableauPower BIExcelStatistical AnalysisData VisualizationETLA/B TestingRegression Analysis
Filters match exact strings. Write “SQL”, not a synonym — and keep abbreviations next to their expansions.
The product
Rejectly reads your resume the way the machine does. Then fixes it.
Job Match Analysis
For a specific Data Analyst posting
- Paste a data analyst job description
- Get a fully rewritten resume matching that specific role
- Every keyword, achievement, and bullet point optimized
ATS Optimizer
No job description needed
- Tests against Workday, Greenhouse, Taleo & Lever
- Finds the parsing failures that silently reject you
- One-click optimization with downloadable PDF
Still sending the same resume to every job?
Every job has different keywords, different ATS filters, different expectations. A tailored resume for each application is the difference between getting rejected and getting hired.
