Generated locally from the existing reviewed dataset, with a May 29, 2026 data cutoff.
May 2026 baseline built
Analyst market intelligence across the Gulf.
GCC Analyst Market Tracker turns sampled analyst job postings into reviewed, deduplicated, aggregate-only signals about cities, roles, skills, and market direction.
Built from a frozen measurement layer.
Reviewed signals
1,304
Countries
6
Tracked skills
40
The May 2026 baseline report layer now exists locally. Public issue #1 is still gated on source-permission emails to JSearch / OpenWeb Ninja and Careerjet.
Proof layer
A report system, not a job board.
The project now has a frozen metric contract, named SQL queries, a local frozen input, and a report sidecar that records the signal IDs and provenance used for each issue. Raw samples and job-level derived rows stay private; public outputs remain aggregate-only.
Reviewed analyst-role signals across 6 GCC countries, 20 named cities, and 20 role categories.
Issue #1 should not be publicly released until the source-permission emails are sent.
Power BI dashboard
Power BI public sample dashboard.
Built from the anonymized public sample to demonstrate KPI reporting, role/skill segmentation, freshness analysis, confidence scoring, and privacy-aware dashboard design.
Insights
What the current snapshot actually says.
SQL shows up in 19.2% of UAE analyst signals
SQL appears in 130 of 676 reviewed UAE analyst-role signals, making it one of the clearest tool priorities in the strongest country read.
Dubai accounts for 346 of 676 UAE signals
Dubai represents 51.2% of the UAE reviewed sample, ahead of Abu Dhabi and the other UAE cities captured in this snapshot.
Power BI appears 1.5x as often as Tableau
Across the Gulf reviewed sample, Power BI appears in 230 signals versus 158 for Tableau, supporting a Power BI-first dashboarding path.
What I built
A pipeline that transforms messy market data into a measured, traceable analyst-market intelligence layer.
Cleaned and normalized data
Built Python and Excel/CSV workflows to standardize sampled analyst-role records into comparable fields.
Deduped and classified roles
Grouped duplicate records and categorized analyst roles across data, business, BI, finance, operations, product, and strategy paths.
Extracted skill indicators
Tracked recurring skill mentions such as SQL, Excel, Power BI, Python, Tableau, forecasting, statistics, and data visualization.
Governed report layer
Added metric definitions, named SQL queries, source caveats, and report sidecars so published numbers are traceable and caveated.
Recommendation engine
Role-and-market skill recommendations from reviewed roles.
Example target
Data Analyst - Dubai
The recommendation engine ranks skills by how often they appear in matching reviewed analyst roles for the selected role and market.
- 01 SQL Core querying
- 02 Data Visualization Dashboard communication
- 03 Power BI BI reporting
- 04 Excel Spreadsheet analysis
- 05 Tableau Visualization tooling
- 06 Python Analysis scripting
Method
Directional career intelligence, not a job board.
What it measures
Reviewed market records are cleaned, deduplicated where possible, categorized, and converted into aggregate dashboard and report views.
What it avoids
Public outputs are aggregate-only. Raw data, job-level rows, source record IDs, listing links, descriptions, and contact fields stay private.
How to read it
Counts represent reviewed roles in this dataset, not a complete count of every open job in the Gulf. UAE and Saudi Arabia are stronger reads; smaller GCC markets remain discovery baselines.
Launch gate
The May 2026 baseline report should be published only after source-permission emails to JSearch / OpenWeb Ninja and Careerjet are sent.
Built by
Built by Azeem, a CS student and data analyst based in Dubai.
This project is part portfolio, part product experiment: a focused data pipeline that turns messy market data into aggregate career intelligence.