The table below provides summary statistics and salary benchmarking for jobs advertised in Marlow requiring Data Visualisation skills. It covers permanent job vacancies from the 6 months leading up to 20 December 2025, with comparisons to the same periods in the previous two years.
|
|
6 months to
20 Dec 2025 |
Same period 2024 |
Same period 2023 |
| Rank |
25 |
- |
- |
| Rank change year-on-year |
- |
- |
- |
| Permanent jobs citing Data Visualisation |
5 |
0 |
0 |
| As % of all permanent jobs in Marlow |
3.18% |
- |
- |
| As % of the Processes & Methodologies category |
3.57% |
- |
- |
| Number of salaries quoted |
5 |
0 |
0 |
| Median annual salary (50th Percentile) |
£20,000 |
- |
- |
| Buckinghamshire median annual salary |
£42,500 |
£58,000 |
£55,000 |
| % change year-on-year |
-26.72% |
+5.45% |
-24.14% |
Data Visualisation falls under the Processes and Methodologies category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring process or methodology skills in Marlow.
| Permanent vacancies with a requirement for process or methodology skills |
140 |
58 |
45 |
| As % of all permanent jobs advertised in Marlow |
89.17% |
90.63% |
97.83% |
| Number of salaries quoted |
41 |
23 |
12 |
| 10th Percentile |
- |
- |
£30,000 |
| 25th Percentile |
- |
£38,750 |
£36,000 |
| Median annual salary (50th Percentile) |
£20,000 |
£50,967 |
£38,000 |
| Median % change year-on-year |
-60.76% |
+34.12% |
-32.44% |
| 75th Percentile |
£40,000 |
£73,833 |
- |
| 90th Percentile |
£50,000 |
- |
£45,425 |
| Buckinghamshire median annual salary |
£48,000 |
£55,000 |
£55,000 |
| % change year-on-year |
-12.73% |
- |
-1.79% |
Data Visualisation
Job Vacancy Trend in Marlow
Historical trend showing the proportion of permanent IT job postings citing Data Visualisation relative to all permanent IT jobs advertised in Marlow.
Data Visualisation
Co-Occurring Skills & Capabilities in Marlow by Category
The following tables expand on the one above by listing co-occurrences grouped by category. They cover the same employment type, locality and period, with up to 20 co-occurrences shown in each category:
