Senior Data Modeler: Data Architecture & BI Lead (On-Site)

BBI; Riyadh; On-site; SAR 180,000 - 300,000; Full time

Job summary

BBI in الرياض is seeking a Senior Data Modeler to develop and maintain data models for BI and analytics. You will collaborate with stakeholders, data engineers, and analysts to define standards and ensure governance.

Ideal candidates bring 5–8 years of data modeling experience, proficiency in ER and dimensional modeling, and strong analytical and communication skills. On-site role with opportunity for growth in a data-centric environment.

Qualifications

• Bachelor's degree in CS, IS or related field.
• 5-8 years of experience in data modeling or data architecture.
• Proficiency in data modeling concepts and standards.
• Experience with ER modeling, dimensional modeling, and normalization.

Responsibilities

• Develop and maintain conceptual, logical, and physical data models using data modeling tools.
• Collaborate with stakeholders and BI/Data Engineer teams to gather requirements and define standards.
• Design and implement data models supporting BI, data warehousing, and analytics.
• Ensure models adhere to governance, quality standards, and best practices.
• Document data models with data dictionaries, ER diagrams, and data flow diagrams.
• Participate in data architecture discussions and enterprise data architecture development.
• Collaborate with DBAs to align physical database design with models.
• Stay up-to-date with data modeling trends and technologies.

Skills

Data modeling

ER modeling

Dimensional modeling

Data normalization

Analytical skills

Communication skills

Team collaboration

Education

Bachelor's degree in Computer Science / Information Systems

Tools

Erwin Data Modeler

Job description

BBI in الرياض is seeking a Senior Data Modeler to develop and maintain data models for BI and analytics. You will collaborate with stakeholders, data engineers, and analysts to define standards and ensure governance.

Ideal candidates bring 5–8 years of data modeling experience, proficiency in ER and dimensional modeling, and strong analytical and communication skills. On-site role with opportunity for growth in a data-centric environment.