SAP Business Information Warehouse (NetWeaver BW)
Essex > Harlow
The table below provides summary statistics and salary benchmarking for jobs advertised in Harlow requiring SAP BW skills. It covers permanent job vacancies from the 6 months leading up to 9 August 2026, with comparisons to the same periods in the previous two years.
|
|
6 months to
9 Aug 2026 |
Same period 2025 |
Same period 2024 |
| Rank |
17 |
- |
- |
| Rank change year-on-year |
- |
- |
- |
| Permanent jobs citing SAP BW |
1 |
0 |
0 |
| As % of all permanent jobs in Harlow |
0.85% |
- |
- |
| As % of the Database & Business Intelligence category |
50.00% |
- |
- |
| Number of salaries quoted |
1 |
0 |
0 |
| Median annual salary (50th Percentile) |
£60,000 |
- |
- |
| Essex median annual salary |
£60,000 |
- |
- |
SAP BW falls under the Databases and Business Intelligence category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring database or business intelligence skills in Harlow.
| Permanent vacancies with a requirement for database or business intelligence skills |
2 |
3 |
2 |
| As % of all permanent jobs advertised in Harlow |
1.71% |
7.50% |
6.67% |
| Number of salaries quoted |
1 |
3 |
2 |
| 10th Percentile |
- |
- |
- |
| 25th Percentile |
- |
£31,250 |
£31,250 |
| Median annual salary (50th Percentile) |
£60,000 |
£32,500 |
£32,500 |
| Median % change year-on-year |
+84.62% |
- |
- |
| 75th Percentile |
- |
£33,750 |
£33,750 |
| 90th Percentile |
- |
- |
- |
| Essex median annual salary |
£60,000 |
£36,250 |
£45,000 |
| % change year-on-year |
+65.52% |
-19.44% |
-5.26% |
SAP BW
Job Vacancy Trend in Harlow
Historical trend showing the proportion of permanent IT job postings citing SAP BW relative to all permanent IT jobs advertised in Harlow.
SAP BW
Salary Trend in Harlow
Salary distribution trend for jobs in Harlow citing SAP BW.
SAP BW
Co-Occurring Skills & Capabilities in Harlow 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:
