Mona Elmagboul

Data analyst and data modeler with 12+ years delivering BI, data warehousing, and data governance solutions end to end across telecom, government, and smart city programs in the UAE, KSA, Bahrain, and Sudan. Translates ambiguous business problems into KPI frameworks, governed self-service models, and executive dashboards that leaders use to make real decisions.

Deep across the full stack: advanced SQL and PL/SQL, Azure data engineering, Power BI, and full-lifecycle data modeling from conceptual through physical handoff for ETL automation.

Stream Lead Consultant, Data Management & Analytics (Freelance) at Ajman Department of Finance (2026-04 – Present)

Lead a workstream advancing the department from data maturity Level 1 toward Level 2, spanning open data publication, data modeling and classification, and capability-building workshops.

• Partner with government stakeholders to design, format, and publish open datasets, advancing public-sector transparency across core financial domains.
• Run cross-departmental workshops to align data definitions, ownership, and quality standards, building a shared data culture.
• Assess existing data architectures to surface maturity gaps, documentation deficiencies, and standardization opportunities.

Data & Analytics Consultant (Freelance) at Spotnik (Client: Ministry of Energy & Infrastructure) (2024-05 – 2024-07)

Designed and delivered a data-driven Livability Calculator measuring quality of life across UAE communities, feeding national urban planning and policy decisions for the Ministry of Energy and Infrastructure.

• Defined the underlying data model, indicators, and scoring logic, translating policy goals into a measurable, repeatable analytical framework.

Senior Data Consultant at Zain Tech (formerly NXN) (2017-05 – 2022-10)

• Built conceptual, logical, and physical data models on the SID (TM Forum) framework for Zain Bahrain's product, sales, and marketing domains; handed production-ready models to engineering for ETL automation and turned them into executive dashboards.
• Architected a governed self-service semantic layer that let business users build their own reports safely, eliminating IT bottlenecks without compromising data integrity.
• Developed a scalable master data model for residents and visitors in King Abdullah Economic City (KSA), built for rigorous data-quality validation and future service domains.
• Authored end-to-end data-quality standards manuals for the UAE government housing sector after mapping business and technical process flows across multiple departments.
• Established smart government data-catalogue guidelines covering inventories, metadata, taxonomies, and classification to enable governed data discovery; ran a current-state assessment and gap analysis at MBRHE with prioritized maturity recommendations.

Business Intelligence Team Leader at Zain (2015-09 – 2017-05)

Owned the technical architecture integrating BI visualization platforms with the enterprise data warehouse, ensuring consistent, reliable reporting across all business units.

• Partnered with analysts and project managers to design interactive dashboards and data-mining models that turned commercial data into actionable insight.
• Built structured validation plans to track, remediate, and prevent data-quality anomalies, establishing repeatable QA standards for the BI team.

Business Intelligence Specialist at Zain (2014-01 – 2015-05)

Mapped raw source data into clean KPIs, standard report packs, and dashboards used by senior management across commercial functions.

• Designed logical and physical models for per-segment data marts, reducing report generation time and decentralizing access to domain-specific metrics.
• Built automated data-quality verification across BI and warehouse layers to enforce defined integrity thresholds.

Data Warehouse Specialist at Zain (2012-11 – 2013-12)

• Cut recurring pipeline loading errors from 17% to 3% within one month with custom validation checks, later adopted as the warehouse QA standard.
• Designed physical warehouse schemas and automated loads with PL/SQL stored procedures and shell scripts, removing manual intervention from daily ETL cycles.
• Migrated infrastructure to accommodate CDR structural changes and built monitoring dashboards tracking pipeline stability and SLA adherence in real time.

Comprehensive Program in Data Science – Ambeone Institute of AI & Data Science (2025 – 2026)

B.Sc. in Computer Science & Statistics – University of Khartoum (2005 – 2011)