Technical Business Analyst
Produce financial and market intelligence by querying data repositories and generating periodic reports. In the GCC market, this role is actively hired across uae with 3 recent postings.
A Technical Business Analyst in the GCC region requires excel, communication, presentation, audit, compliance. Produce financial and market intelligence by querying data repositories and generating periodic reports. This role is in demand across the Gulf Cooperation Council countries.
Salary across the GCC
Monthly gross median in local currency, by country × seniority.
| Country | Junior | Mid-Level | Senior | Lead / Principal |
|---|---|---|---|---|
| United Arab Emirates | 10,000 AED | 17,000 AED | 26,000 AED | 36,000 AED |
| Saudi Arabia | 9,500 SAR | 16,000 SAR | 25,000 SAR | 34,500 SAR |
| Qatar | 10,000 QAR | 17,500 QAR | 27,500 QAR | 38,000 QAR |
| Kuwait | 800 KWD | 1,400 KWD | 2,150 KWD | 2,950 KWD |
| Oman | 900 OMR | 1,550 OMR | 2,350 OMR | 3,300 OMR |
| Bahrain | 850 BHD | 1,450 BHD | 2,250 BHD | 3,150 BHD |
How Technical Business Analyst pay varies in the UAE
UAE · mid-level · monthly gross in AED
Based on 500 data points · updated June 15, 2026 · How we estimate
By company size
Median compensation varies with headcount.
Top-paying industries
Median for this role, ranked by sector.
Estimates modelled from GCC pay surveys and live posting volume — a directional guide, not a live salary feed.
Required skills
Top hiring companies
- Deeplight AI
- Deeplight
Active markets
- uae
- 01
The Technical Business Analyst acts as the critical bridge between business objectives and technical AI execution. This role is responsible for driving the successful delivery of AI
- 02
Your responsibilities as the Technical Business Analyst include:
- 03
Facilitation of workshops and interviews to gather and document business requirements, translating them into clear AI specifications for data inputs and model outputs.
- 04
Partnering with Data Scientists and ML Engineers to validate the feasibility of AI use cases and ensure alignment with strategic business goals.
- 05
specific test strategies, including model validation, bias detection, and performance benchmarking to ensure accuracy and fairness.
- 06
Developing tailored training materials and user manuals to help staff understand AI confidence scores, outputs, and system limitations.
- 07
impact opportunities for AI
- 08
driven automation and predictive analytics within existing banking processes.
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