[Full Name]: ATS-Friendly Resume

Resume template built to parse cleanly in applicant tracking systems (ATS) such as Workday, Greenhouse, Lever and iCIMS: one column, plain standard headings, no tables or graphics in the resume body, and wording aligned with the job description. Based on common recruiting and ATS practice. The keyword alignment table and formatting rules are working notes: delete them before you export the resume.

1. Contact information

[Full Name] [City, State or Region, Country] [[email protected]] | [+00 000 000 000] [linkedin.com/in/username] | [portfolio or GitHub URL]

2. Professional summary

[Job title] with [N] years of experience in [domain]. Skilled in [keyword 1], [keyword 2] and [keyword 3]. [One result with a number.]

Example: Data Analyst with 5 years of experience in e-commerce and retail analytics. Skilled in SQL, Python, Tableau and A/B testing. Built a demand forecast that cut stock-outs by 18% across 240 stores.

3. Skills

• Technical: [SQL, Python (pandas), R, Excel (Power Query), dbt]
• Tools: [Tableau, Power BI, Looker, Google Analytics 4, Jira]
• Methods: [A/B testing, regression analysis, cohort analysis, forecasting]
• Business: [stakeholder management, requirements gathering, KPI design]

4. Work experience

[Job Title] [Company Name], [City, Country] [MM/YYYY] to [Present]

• [Action verb] [task using keyword] resulting in [number].
• [Action verb] [task using keyword] resulting in [number].
• [Action verb] [task using keyword] resulting in [number].

Example:

Data Analyst Harbor Retail Group, Manchester, UK 04/2022 to Present

• Built weekly sales dashboards in Tableau for 35 category managers, replacing 12 manual Excel reports and saving 20 hours per week.
• Wrote SQL models in dbt on Snowflake for promotions data, reducing report refresh time from 6 hours to 40 minutes.
• Designed and analysed 14 A/B tests on checkout pages; two winning variants raised conversion by 3.2% (about GBP 1.1 million per year).
• Developed a Python demand forecast (gradient boosting) that cut stock-outs by 18% across 240 stores.

Junior Data Analyst Northgate Insurance, Leeds, UK 09/2020 to 03/2022

• Automated monthly claims reporting with Python and Power BI, reducing errors flagged by finance from 9 to 1 per quarter.
• Gathered requirements from 6 business teams and defined 22 KPIs in a shared data dictionary.

5. Education

[Bachelor of Science (BSc), Major] [University Name], [City, Country] [YYYY]

Example: Bachelor of Science (BSc), Economics and Statistics, University of Sheffield, Sheffield, UK, 2020

6. Certifications

• [Certification name], [Issuer], [YYYY]
• Example: Microsoft Certified: Power BI Data Analyst Associate, Microsoft, 2024
• Example: Google Data Analytics Professional Certificate, Google, 2021

7. Additional information

• Languages: [English (fluent), Polish (native)]
• Work authorisation: [Right to work in the UK] (include only if the posting asks)

8. Formatting rules (delete before export)

1. Single column. No side bars, columns or text boxes. Parsers read left to right, top to bottom, and may merge columns into nonsense.
2. Standard headings. Use "Summary", "Skills", "Work Experience", "Education", "Certifications". Creative headings ("Where I have made an impact") may not be mapped to the right field.
3. No tables, images, icons, charts or skill bars in the resume body. Logos and photos are ignored at best.
4. Common fonts (Arial, Calibri, Helvetica, Georgia) at 10 to 12 points; headings 12 to 14 points. Avoid ligature-heavy display fonts.
5. Simple bullets (round or hyphen). Avoid arrows and special symbols that can turn into question marks.
6. Contact details in the body, not in a header or footer.
7. Consistent dates in one format, with both month and year.
8. File name Firstname-Lastname-Resume-JobTitle.docx or .pdf. Export PDFs from a word processor, never as a scanned image.
9. Length: one page up to about seven years of experience, two pages beyond that.
10. Spell-check and use the posting's spelling of tools (PostgreSQL, not "Postgre"; JavaScript, not "Java Script").

9. Keyword alignment with the job description (delete before export)

Coverage: [N] of [M] must-have keywords matched ([percentage]).

10. Pre-submission test (delete before export)

• Copy all text from the exported file into a plain-text editor. Everything appears in the right order and nothing is missing.
• Upload to the employer's form and check that the auto-filled fields (name, email, job titles, dates) are correct.
• Job title in the summary matches the posting wording.
• Every must-have keyword you possess appears at least once.
• No tables, images, columns, headers or footers in the body.
• A human reading it in 30 seconds understands your level, domain and best result.

Standard and licence note

Based on common recruiting and applicant tracking system practice for resume formatting and keyword alignment. Parser behaviour varies by vendor and version; test with the employer's own form. Original text written for this collection; example names and figures are fictional. Template licence: MIT.