Data Modeler

The Data Modeler will design and maintain scalable data models to support telecom analytics and operational systems. This role requires a strong understanding of telecom data domains such as subscribers, call detail records (CDRs), plans, and usage metrics. The candidate will collaborate with architects, engineers, and business stakeholders to build models that drive customer insights, revenue assurance, and network optimization.

Key Responsibilities:

• Develop conceptual, logical, and physical data models aligned with telecom business needs.
• Translate telecom-specific requirements, usage analytics, churn, billing, and network KPIs into efficient data structures.
• Collaborate with data engineers to implement models across data warehouses and lakes.
• Ensure data consistency, traceability, and compliance across systems.
• Maintain metadata, data dictionaries, and modeling documentation.

Required Skills & Experience:

• 6+ years of experience in data modeling, with at least 2 years in the telecom domain.
• Proficient with modeling tools like Erwin or ER Studio.
• Strong knowledge of relational and dimensional modeling techniques.
• Familiarity with telecom data sources including CDRs, OSS, and BSS systems.
• Excellent analytical and communication skills.

Location: Dubai, Dubai, United Arab Emirates (Hybrid)
Job Type: Full-time