Career change resume template for Google Docs™
Summary, skills and relevant projects first, so the reader sees where you're going before where you've been.
- Parser read 32/32 fields
- 1 page
- US Letter and A4
- Google Docs and Word
- Trebuchet MS
What a parser reads from it
Field by field, from the PDF that Google Docs exports.
32/32
fields read correctly from the resume (US Letter), downloaded from Google Docs as a PDF and read by the open-source OpenResume parser (commit 4f8255a) on Oct 5, 2026.
What the parser read
First 30 lines, exactly as extracted.
Marisol Vega Sacramento, CA | (916) 555-0146 | marisol.vega@example.com | linkedin.com/in/marisolvega SUMMARY Retail store manager moving into data analysis. For eight years I've run stores on numbers, from labor plans to shrink, and for the last two I've done the analysis myself in SQL and Tableau. Looking for a junior analyst role where I can work with sales and operations data. SKILLS Data: SQL, Excel (pivot tables), Tableau Business: Forecasting, inventory, labor planning Certifications: Google Data Analytics Certificate RELEVANT PROJECTS Shrink Analysis | SQL and Excel, my own store's data 2025 • Matched two years of inventory counts to sales; three product groups caused 60% of losses • Changed how those items were shown and counted; shrink fell from 2.4% to 1.6% of sales Regional Sales Dashboard | Tableau, public retail data 2025 • Built a dashboard comparing weekly sales by store and category, with notes on what changed and why WORK HISTORY Cholla & Clay Home Goods Sacramento, CA Store Manager Mar 2020 – Present • Run a store with $6.2 million in yearly sales and a team of 28 • Build the weekly labor plan from sales forecasts; labor cost on budget for 14 straight quarters • Report weekly results to the district manager and explain the gaps Turnip & Tansy Market Sacramento, CA Assistant Store Manager Jun 2016 – Feb 2020 • Ordered and tracked inventory for grocery and frozen departments • Trained 30 new hires on registers, ordering and safety procedures EDUCATION AND TRAINING Bosquelind Community College Sacramento, CA Associate of Science in Business Administration May 2016 • Data analytics certificate: SQL, spreadsheet modeling, Tableau, statistics
Field by field
What we wrote, and what the parser put in each field.
| Field | Parser read | Match |
|---|---|---|
| Name | Marisol Vega | |
| marisol.vega@example.com | ||
| Phone | (916) 555-0146 | |
| Location | Sacramento, CA | |
| Link | linkedin.com/in/marisolvega | |
| Summary | Retail store manager moving into data analysis. For eight years I've run stores on numbers, from labor plans to shrink, and for the last two I've done the analysis myself in SQL and Tableau. Looking for a junior analyst role where I can work with sales and operations data. | |
| Job 1 company | Cholla & Clay Home Goods | |
| Job 1 title | Store Manager | |
| Job 1 dates | Mar 2020 – Present | |
| Job 1, bullet 1 | Run a store with $6.2 million in yearly sales and a team of 28 | |
| Job 1, bullet 2 | Build the weekly labor plan from sales forecasts; labor cost on budget for 14 straight quarters | |
| Job 1, bullet 3 | Report weekly results to the district manager and explain the gaps | |
| Job 2 company | Turnip & Tansy Market | |
| Job 2 title | Assistant Store Manager | |
| Job 2 dates | Jun 2016 – Feb 2020 | |
| Job 2, bullet 1 | Ordered and tracked inventory for grocery and frozen departments | |
| Job 2, bullet 2 | Trained 30 new hires on registers, ordering and safety procedures | |
| School 1 | Bosquelind Community College | |
| School 1 degree | Associate of Science in Business Administration | |
| School 1 dates | May 2016 | |
| School 1 GPA | (empty) | |
| School 1, bullet 1 | Data analytics certificate: SQL, spreadsheet modeling, Tableau, statistics | |
| Project 1 | Shrink Analysis | SQL and Excel, my own store's data | |
| Project 1 dates | 2025 | |
| Project 1, bullet 1 | Matched two years of inventory counts to sales; three product groups caused 60% of losses | |
| Project 1, bullet 2 | Changed how those items were shown and counted; shrink fell from 2.4% to 1.6% of sales | |
| Project 2 | Regional Sales Dashboard | Tableau, public retail data | |
| Project 2 dates | 2025 | |
| Project 2, bullet 1 | Built a dashboard comparing weekly sales by store and category, with notes on what changed and why | |
| Skills line 1 | Data: SQL, Excel (pivot tables), Tableau | |
| Skills line 2 | Business: Forecasting, inventory, labor planning | |
| Skills line 3 | Certifications: Google Data Analytics Certificate |
Shown but not counted
- Sacramento, CA: no location field for jobs. It's in the extracted text.
- Sacramento, CA: no location field for jobs. It's in the extracted text.
- Sacramento, CA: no location field for schools. It's in the extracted text.
This checks our sample text, read by one open-source parser from the PDF that Google Docs' File > Download > PDF produces. It isn't a score, and it doesn't tell you how Workday, Greenhouse or any other hiring system will read your own resume. Anyone can rerun it: the test repository has the PDF (SHA-256 b39fe8102ca9…), the expected values and the raw results. How we test
Specs and editing tips
Everything you need to edit it without breaking the layout.
Specs
- Font
- Trebuchet MS, installed on Windows and macOS, so the .docx keeps its look
- Body text
- 10.5 pt
- Margins
- 0.6 in (Letter), 15 mm (A4)
- Length
- 1 page with the sample content
- Sections
- Summary, Skills, Relevant Projects, Work History, Education and Training
- Good for
- Career changers
- Layout
- One column, no tables, text boxes, images or icons. Dates aligned with a right tab stop.
Editing tips
- Dates stay on the right by themselves. Each heading line has a right-aligned tab stop. Press Tab before the date instead of adding spaces.
- Add a job by copying one. Select a whole entry, heading lines and bullets, copy it and paste it below. The spacing comes with it.
- Ran onto a second page? Set margins to 0.5 in, body text to 10.5 pt and line spacing to single, in that order. More ways to fit one page
- Rename your copy. Recruiters see the file name, so use something like Firstname-Lastname-Resume.
Exporting your finished resume
Two downloads from Google Docs cover almost every application.
File > Download > PDF Document. This is the exact path we test on every release. It gives selectable text with the fonts embedded.
Word
File > Download > Microsoft Word (.docx). Our own .docx files are exported this way, and we check that text and bullets survive. Don't convert a PDF to Word.
Similar templates
Same rules, a different look.
Skills-first
33/33 fields read
Summary and skills come before work history. Useful when you're changing careers or coming back after a gap.
- 1 page
- Letter + A4
- Docs + Word
Modern Accent
35/35 fields read
One ink-blue accent on headings and rules, with a summary up top. Clean enough for any parser, with a little more personality.
- 1 page
- Letter + A4
- Docs + Word
Plain
33/33 fields read
Nothing but text, left-aligned, in Arial. A safe default for any job when you don't want the layout to be noticed.
- 1 page
- Letter + A4
- Docs + Word
Questions
- Is it really free?
- Yes. No account, no email and no watermark. Copy it, edit it and send it to as many employers as you like. The one thing you can't do is repost the template file itself somewhere else.
- Will it get through an ATS?
- Nobody can promise that, and we don't. What we can show is that an open-source parser reads our sample of this template correctly, field by field, from the PDF Google Docs produces. Workday, Greenhouse and others use their own parsers, and your own content matters as much as the layout. How we test
- Can I use it in Microsoft Word?
- Yes. Download the .docx, or copy to Google Docs and later use File > Download > Microsoft Word. The font is installed on Windows and macOS, so nothing gets swapped.
- Why no photo, icons or two columns?
- Parsers read a page top to bottom. Columns, text boxes and icons are the usual reason a resume comes out scrambled. US employers also generally don't want photos.
- Can my name have accents or non-Latin characters?
- Yes, with one caveat. In our tests the parser read José Álvarez, Mary-Jane Smith, Sean O'Brien and Иван Петров correctly, and the layout didn't move. A Chinese name like 王小明 also kept the page intact, but Google Docs swaps in a Japanese font for those characters and the parser left the name field empty. For US applications, put the romanized name first, like Xiaoming Wang (王小明). Phone numbers outside the US format, like +44 7700 900123, aren't picked up as phone numbers either.