UK CV template for Google Docs™ (A4)
A4, a short profile at the top, newest roles first and room for two pages. Written the way UK employers expect a CV.
- Parser read 63/63 fields
- Up to 2 pages
- US Letter and A4
- Google Docs and Word
- Arial
What a parser reads from it
Field by field, from the PDF that Google Docs exports.
63/63
fields read correctly from the resume (A4), downloaded from Google Docs as a PDF and read by the open-source OpenResume parser (commit 4f8255a) on Oct 1, 2026.
What the parser read
First 30 lines, exactly as extracted.
Oliver Hughes Manchester, UK | +44 7700 900456 | oliver.hughes@email.com | linkedin.com/in/oliverhughes PROFESSIONAL SUMMARY Data analyst with six years of experience in retail and energy, most recently leading pricing and customer analytics for a UK retail group. I build models and dashboards that commercial teams use every week, and I enjoy explaining numbers to people who don't work with data all day. Looking for a senior analyst or analytics lead role in Manchester or remote. WORK EXPERIENCE Northgate Retail Group Manchester, UK Senior Data Analyst Mar 2023 – Present • Lead a team of three analysts supporting pricing, promotions and loyalty for 140 stores and the online shop • Built a promotion uplift model in Python that replaced a manual spreadsheet process and is now used to plan every seasonal campaign • Designed the weekly trading dashboard in Power BI, used by 60 managers across buying and store operations • Found that 18% of loyalty vouchers were going to customers who would have bought anyway, and redesigned targeting to save about £400,000 a year • Introduced code review and a shared SQL library, which halved the time new analysts need to deliver their first report • Worked with the supply chain team on a markdown model for seasonal stock, reducing end-of-season clearance by about 9% across clothing and homeware Pennine Energy Leeds, UK Data Analyst Jun 2020 – Feb 2023 • Forecast monthly churn for 250,000 household customers and flagged at-risk accounts for the retention team • Built a self-serve churn dashboard so the retention team could filter at-risk customers by tariff and region without waiting for an analyst • Automated regulatory reporting to Ofgem with SQL and Python, cutting a three-day monthly task to two hours
Field by field
What we wrote, and what the parser put in each field.
| Field | Parser read | Match |
|---|---|---|
| Name | Oliver Hughes | |
| oliver.hughes@email.com | ||
| Link | linkedin.com/in/oliverhughes | |
| Summary | Data analyst with six years of experience in retail and energy, most recently leading pricing and customer analytics for a UK retail group. I build models and dashboards that commercial teams use every week, and I enjoy explaining numbers to people who don't work with data all day. Looking for a senior analyst or analytics lead role in Manchester or remote. | |
| Job 1 company | Northgate Retail Group | |
| Job 1 title | Senior Data Analyst | |
| Job 1 dates | Mar 2023 – Present | |
| Job 1, bullet 1 | Lead a team of three analysts supporting pricing, promotions and loyalty for 140 stores and the online shop | |
| Job 1, bullet 2 | Built a promotion uplift model in Python that replaced a manual spreadsheet process and is now used to plan every seasonal campaign | |
| Job 1, bullet 3 | Designed the weekly trading dashboard in Power BI, used by 60 managers across buying and store operations | |
| Job 1, bullet 4 | Found that 18% of loyalty vouchers were going to customers who would have bought anyway, and redesigned targeting to save about £400,000 a year | |
| Job 1, bullet 5 | Introduced code review and a shared SQL library, which halved the time new analysts need to deliver their first report | |
| Job 1, bullet 6 | Worked with the supply chain team on a markdown model for seasonal stock, reducing end-of-season clearance by about 9% across clothing and homeware | |
| Job 2 company | Pennine Energy | |
| Job 2 title | Data Analyst | |
| Job 2 dates | Jun 2020 – Feb 2023 | |
| Job 2, bullet 1 | Forecast monthly churn for 250,000 household customers and flagged at-risk accounts for the retention team | |
| Job 2, bullet 2 | Built a self-serve churn dashboard so the retention team could filter at-risk customers by tariff and region without waiting for an analyst | |
| Job 2, bullet 3 | Automated regulatory reporting to Ofgem with SQL and Python, cutting a three-day monthly task to two hours | |
| Job 2, bullet 4 | Worked with the call centre to analyse complaint reasons, which led to a simpler bill layout and 15% fewer billing calls | |
| Job 2, bullet 5 | Ran A/B tests on renewal emails that raised fixed-tariff renewals by 6 percentage points | |
| Job 3 company | Calder & Wright | |
| Job 3 title | Graduate Analyst | |
| Job 3 dates | Sep 2018 – May 2020 | |
| Job 3, bullet 1 | Cleaned and analysed sales data for consulting projects with clients in food manufacturing and logistics | |
| Job 3, bullet 2 | Built Excel models for market sizing and supplier cost comparisons used in client recommendations | |
| Job 3, bullet 3 | Prepared charts and short summaries for partner presentations, often on tight overnight deadlines | |
| Job 3, bullet 4 | Interviewed purchasing managers at eight food manufacturers to check our cost assumptions, and wrote up the findings for the client steering group | |
| Job 4 company | University of Sheffield Department of Economics | |
| Job 4 title | Research Assistant | |
| Job 4 dates | Jul 2017 – Aug 2018 | |
| Job 4, bullet 1 | Collected Land Registry and census data for a study on regional house prices | |
| Job 4, bullet 2 | Cleaned and matched 1.2 million sale records to local authority areas | |
| Job 4, bullet 3 | Wrote Stata scripts for the regression analysis and documented each step | |
| Job 4, bullet 4 | Produced the maps and charts used in the final report and a journal article | |
| Job 4, bullet 5 | Checked other researchers' code before each draft went to the funder | |
| Job 4, bullet 6 | Presented interim results at two department seminars | |
| Job 5 company | Harlow's Pharmacy | |
| Job 5 title | Sales Assistant | |
| Job 5 dates | Sep 2015 – Jun 2017 | |
| Job 5, bullet 1 | Worked weekend shifts on the till and pharmacy counter while studying, and trained four new starters | |
| Job 5, bullet 2 | Kept the weekly stock count for the health and beauty aisles and flagged slow lines to the store manager | |
| School 1 | University of Manchester | |
| School 1 degree | MSc Data Science, Distinction | |
| School 1 dates | Sep 2019 – Sep 2021 | |
| School 1 GPA | (empty) | |
| School 1, bullet 1 | Part-time while working; dissertation on forecasting store footfall with weather and calendar data | |
| School 2 | University of Sheffield | |
| School 2 degree | BSc (Hons) Economics, First Class | |
| School 2 dates | Sep 2014 – Jun 2017 | |
| School 2 GPA | (empty) | |
| Project 1 | Store footfall forecasting | MSc dissertation, Python | |
| Project 1 dates | Jan 2021 – Sep 2021 | |
| Project 1, bullet 1 | Combined two years of door-counter data with weather and bank holiday calendars to forecast daily footfall for 40 stores | |
| Project 1, bullet 2 | Cut forecast error by 22% against the retailer's existing method, and the model became the starting point for staffing plans at Northgate | |
| Project 2 | Open data dashboard for Leeds bus punctuality | Personal project, Power BI | |
| Project 2 dates | Mar 2022 | |
| Project 2, bullet 1 | Built a public dashboard from open bus timing data that a local transport campaign group used in its submission to the council | |
| Skills line 1 | Analysis: SQL, Python (pandas, scikit-learn), R, Excel | |
| Skills line 2 | Reporting: Power BI, Tableau, Looker Studio | |
| Skills line 3 | Data platforms: Snowflake, BigQuery, dbt, Git | |
| Skills line 4 | Languages: English (native), German (intermediate) | |
| Skills line 5 | Certifications: Microsoft Power BI Data Analyst Associate |
Shown but not counted
- +44 7700 900456: outside the parser's US-format rules. It's in the extracted text.
- Manchester, UK: outside the parser's US-format rules. It's in the extracted text.
- Manchester, UK: no location field for jobs. It's in the extracted text.
- Leeds, UK: no location field for jobs. It's in the extracted text.
- Leeds, UK: no location field for jobs. It's in the extracted text.
- Sheffield, UK: no location field for jobs. It's in the extracted text.
- Sheffield, UK: no location field for jobs. It's in the extracted text.
- Manchester, UK: no location field for schools. It's in the extracted text.
- Sheffield, UK: 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 2f2d914abf8e…), the expected values and the raw results. How we test
The UK CV format
In the UK the document you send with a job application is a CV, not a resume. The government's National Careers Service sets out what it should look like. In our own words:
- A clear font at 11 pt or larger, such as Arial, with headings and bullet points so it's easy to scan. Our template uses Arial at 11 pt.
- A short profile at the top: a few lines on who you are and what you're looking for. Many people call it a personal statement.
- Work history newest first, with a few lines per role on what you did and what came of it.
- No age, date of birth, marital status or nationality. None of them belong on a UK CV.
- No referees' contact details on the CV. A line saying references are available on request is enough; keep the details on a separate references page.
UK-specific details
- Use British spelling throughout: organised, analysed, programme.
- Write degrees the UK way, for example “BSc (Hons) Economics, First Class” or “2:1”. List A-levels with grades if you're early in your career.
- Leave the photo off. It isn't expected in the UK.
- Use A4. The template opens in A4 here; the same layout is available in US Letter if you also apply to North America.
- Two pages is common once you have a few years of experience. Graduates can usually fit one. The sample shows a two-page CV.
A note on parsers
The open-source parser we test with only knows US-style phone numbers and “City, ST” locations. On our UK sample it doesn't pick up the +44 number or any of the “Manchester, UK” style locations, so we leave those out of the score. The text is still on the page for anyone reading it. The 63 fields we do score, from name and email to every job, date and bullet, all read correctly; how we test has the details.
Questions
- What's the difference between a UK CV and a US resume?
- Mostly length and naming. A UK CV is often two pages and opens with a short profile; a US resume is usually one page. Both are one column, newest experience first, with no photo.
- Should I include a photo on a UK CV?
- No. UK employers don't expect one.
- Does this template work in Microsoft Word?
- Yes. Download the .docx, or copy to Google Docs and later use File > Download > Microsoft Word. Arial is installed on Windows and macOS.
- Is there a matching cover letter?
- Yes. Switch the preview above to Cover letter. It uses UK date style and a formal sign-off.