Resume template · Updated October 2026
Resume template with a skills section near the top
Short answer
FAANGPath puts the skills section directly under the summary, ahead of work experience, in labelled rows so methods, tools and soft skills each get their own line. That suits a data analyst whose SQL, Python and dashboard tools are half the job. The fictional sample backs every listed skill with a bullet further down the page, the habit most worth copying.
Download the skills section sample
Kenji is a fictional data analyst. Replace every detail with your own before you send it.
The files are made in your browser by Resumity's own exporters, from this sample. The builder opens it as your own resume: click any line to replace it. Free plan, no watermark.
Why FAANGPath suits a skills section resume
FAANGPath is meant for technical candidates who want their languages and tools read before their jobs: skills print straight after the summary, as labelled rows with a dot after each label. A reader sees SQL, Python and Tableau in the opening lines, then the jobs where each was used.
Second choice: Meridian. Meridian keeps the same skills-first order and labelled rows, with a colon after each label and grey rules that run to the right of each heading.
What goes in each section, in FAANGPath's order
FAANGPath prints its sections in a fixed order, the same in the PDF and the Word file. Here is that order for this sample, and what to put in each section.
- Professional Summary. Name the two or three skills you most want read and the job where you used them. The rows directly below repeat them as a list, so the summary can stop at three lines.
- Skills. Three rows, each specific. Technical holds methods (SQL window functions, cohort analysis, test readouts), Tools holds named software, and Soft Skills holds two or three working habits your bullets prove. Ten to fifteen items in all is plenty; a row that wraps past two lines needs trimming.
- Work Experience. Every skill in the rows above should turn up in at least one bullet here, in use: "Wrote SQL to report weekly margin" rather than "Used SQL". A reader who doubts a listed skill goes looking for it in the jobs.
- Education. Degree and school, plus a statistics or database course only if the skills rows lean on it and your work history is short.
- Certifications. A tool certificate supports one line of the Tools row. It prints after education at the bottom of the page, so make sure the tool it covers is already named in the skills rows.
The sample resume as text
The same content as the files above, so you can copy a line or compare it with your own.
Kenji Watanabe
Data Analyst
Portland, OR | kenji.watanabe@example.com | (503) 555-0161 | linkedin.com/in/sample-kenji-watanabe
Data analyst with four years of SQL and Python work in online retail and healthcare operations. Builds Tableau dashboards that managers check every week and writes short readouts of A/B tests for the product team. Looking for an analyst role focused on product or marketing data.
Experience
Data Analyst, Cedar and Pine Outfitters, Portland, OR (05/2023 to Present)
- Write SQL against a Snowflake warehouse to report weekly sales, returns and margin by product category.
- Built a Tableau dashboard for the merchandising team that replaced six emailed spreadsheets.
- Analyzed 14 checkout A/B tests in Python (pandas, statsmodels) and wrote a one-page readout for each.
- Ran a cohort analysis of first-time buyers that led to a revised welcome email sequence.
Operations Analyst, Willamette Community Health Network, Salem, OR (08/2021 to 04/2023)
- Cleaned and merged appointment data from three clinics into one monthly report.
- Tracked no-show rates in Power BI and shared clinic-level trends with practice managers.
- Automated a weekly Excel staffing report with Power Query, saving about three hours a week.
Education
Bachelor of Science, Mathematics, Cascade Bluff University (06/2021). Coursework: Probability and Statistics, Linear Algebra, Introduction to Databases
Certifications
- Tableau Desktop Specialist, Tableau (2024)
Skills
SQL (joins, window functions), A/B test analysis, Cohort analysis, Data cleaning, Python (pandas, statsmodels), Tableau, Snowflake, Power BI, Excel (Power Query), Plain-language readouts, Working with non-technical managers
How to make the sample yours
Rebuild the rows from the posting
Copy the required and preferred skills from the job ad, cross out any you cannot show in a bullet, and order each row by what the posting stresses most.
Keep methods and software in separate rows
Methods such as regression or forecasting go under Technical; products such as Snowflake or Looker go under Tools. Mixing them makes both rows slower to scan.
Drop skills every applicant has
Email, Microsoft Word and web research take space a missing method could use. Keep Excel only when you name the advanced parts you rely on, as the sample does with Power Query.
Copy the posting's spelling
If the ad says "Power BI", do not write "PowerBI"; if it says "statistical modeling", use that phrase rather than a synonym, as long as it describes your work.
Add a languages row only when it matters
The sample has none. If a spoken language helps with the job, add it with a level (fluent, conversational) and FAANGPath prints it as another labelled row.
Keywords to keep where they are true
Terms this kind of resume is usually searched for. Use the posting's exact wording, and only for work you have done.
- SQL
- Python (pandas)
- Tableau
- Power BI
- data cleaning
- dashboard design
- A/B testing
- cohort analysis
- Snowflake
- stakeholder reporting
- KPI tracking
- data visualization
Mistakes to avoid
- Rating skills with stars, bars or percentages. "Python 80%" tells a reader nothing; a bullet that shows the work does.
- A skills list with nothing below to support it. If a skill appears in no bullet, expect it to be the first interview question.
- Single-word soft skills such as "hard-working" or "passionate". Keep two or three that describe how you work, and show them in a bullet.
- One long comma-separated run of forty tools. A few labelled rows of a handful each are far quicker to read.
How the sample PDF reads in text extractors
We exported this sample with Resumity's PDF exporter in Chrome on 2026-10-29 and read the file back with three open-source text extractors. This shows whether software that turns a PDF into text can recover it; it is not a test of any commercial applicant tracking system. How we test templates.
| Extractor | Name, email, phone | Headings | Bullets intact |
|---|---|---|---|
| pdf.js 4.10.38 | All found | 5 of 5 | 7 of 7 |
| pdftotext (Xpdf) 4.00 | All found | 5 of 5 | 7 of 7 |
| pypdf 6.13.0 | All found | 5 of 5 | 7 of 7 |
Frequently asked questions
Where should the skills section go on a resume?
Near the top when your tools are central to the job, as in data, IT and engineering; after experience when your job history is the stronger evidence. Resumity templates fix this: FAANGPath, Meridian, Daniel and Olivia print skills right after the summary, Leslie and Catalyst after experience, and Henrietta after education.
How many skills should I list on a resume?
Enough to cover what the posting asks for and you can prove, often ten to fifteen across all rows. Past that, the important ones get lost in the list.
Should hard skills and soft skills be listed separately?
Yes. Give methods and software their own rows and keep soft skills to a short third row. FAANGPath prints each group as a labelled line, so the split is visible at a glance.
Do I need a skills section if my bullets already mention my skills?
It still helps. The bullets show skills in context; the section lets a reader confirm quickly that the essentials are there. Keep the two consistent with each other.
Can a skills section replace work experience?
Not on its own. Even a skills-based resume needs jobs, projects or training underneath that show each skill being used.
Will applicant tracking systems read this FAANGPath PDF?
The sample PDF read back with its contact details, all 5 section headings and all 7 bullets intact in three open-source text extractors (pdf.js, pdftotext and pypdf). Commercial systems such as Workday, Greenhouse or Taleo were not tested, and each employer configures its own.
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