A leading organization is seeking a skilled Data Modeler to join its Data Analytics – Finance Department at the Head Office in Karachi. The successful candidate will be responsible for designing enterprise data models, supporting data warehousing and business intelligence initiatives, and translating business requirements into scalable and fit-for-purpose data structures.

Eligibility Criteria

Qualification

• Minimum Bachelor’s degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related field from an HEC-recognized institute/university.
• A qualification in Islamic Finance will be an added advantage.

Experience

• 4–8 years of relevant professional experience.
• Experience in Data Modelling, Data Warehousing, Business Intelligence, or Data Engineering.
• Hands-on experience designing logical and physical data models for enterprise data warehouses or analytical platforms.
• Experience in banking or financial services will be preferred.

Skills Required

• Data Modelling & Architecture
• Semantic Layer & BI Modelling
• IBM Financial Services Data Models (FSDM)
• IBM Db2 Warehouse
• Big SQL
• DataStage
• IBM Cognos
• Data Warehousing & Business Intelligence
• Enterprise Data Architecture

Key Responsibilities

• Understand source systems, data structures, business processes, and business requirements.
• Collaborate with business users, Business Analysts, Data Architects, Data Engineers, and source-system teams to develop accurate and fit-for-purpose data models.
• Develop reusable atomic-layer and dimensional models aligned with IBM Financial Services Data Model (FSDM) and enterprise standards.
• Translate business requirements into facts, dimensions, measures, hierarchies, relationships, business rules, and semantic-layer structures.
• Design and optimize models for IBM Db2 Warehouse, Big SQL, DataStage, IBM Cognos, and Data Lakehouse architectures.
• Collaborate with ETL/ELT and BI teams on transformations, source-to-target mappings, validation, performance, and scalability.
• Ensure data models effectively support business intelligence, analytics, reporting, and enterprise data requirements.

🔎 Source: Official Careers Portal
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