Data Analyst & Designer Consultant

EJADA; Riyadh; Presencial; SAR 180.000 - 300.000; Jornada completa

Descripción de la vacante

EJADA in Riyadh is seeking a Data Analyst & Designer Consultant to analyze enterprise data landscapes, translate business requirements into data design solutions, and develop conceptual, logical, and physical data models that support analytics, reporting, and data-driven decision-making.

You will work with data architects, business stakeholders, and implementation teams to design scalable, governed data platforms and ensure alignment with governance standards.

Formación

• Bachelor's degree in Computer Science, IT, IS, Engineering or Data Science.
• Professional certifications in Data Management, Data Modeling, Data Architecture, or Analytics.
• CDMP or equivalent certification.
• +6 years of experience in Data Analysis, Data Modeling, Data Architecture, Data Design, or Enterprise Data Management.
• Proven experience translating complex business requirements into data design solutions.
• Experience designing enterprise data platforms, data warehouses, data marts, or analytics environments.

Responsabilidades

• Analyze business requirements and translate into detailed data requirements, business rules, and transformation specifications.
• Assess source systems and identify relevant data assets required to support business and analytics objectives.
• Design conceptual, logical, and physical data models aligned with enterprise data architecture principles.
• Develop and maintain enterprise data design artifacts, data dictionaries, and mapping documentation.
• Define source-to-target mappings, transformation rules, and data flow designs to ensure traceability and governance.
• Collaborate with data architects to design scalable, reusable, and modular data platform architectures.
• Support the development of data integration, analytics, reporting, and business intelligence solutions.
• Design storage-layer structures including data warehouses, data marts, data lakes, and analytical repositories.
• Identify extraction requirements, data sourcing strategies, and ingestion approaches for various source systems.
• Ensure alignment between data models, business semantics, performance requirements, and data quality standards.
• Work closely with data engineers to translate design specifications into data ingestion and transformation processes.
• Develop high-level and detailed solution design documents for data platform initiatives.
• Support data governance and architecture frameworks by ensuring consistency, compliance, and traceability across data assets.
• Participate in workshops, requirement gathering sessions, and design reviews with business and technical stakeholders.
• Contribute to continuous improvement initiatives related to data architecture, analysis, and design methodologies.

Conocimientos

Business Requirements Analysis

Data Requirements Definition

Source System Analysis

Data Mapping and Transformation Design

Data Governance Principles

SQL and Data Analysis

Data Lineage and Traceability

Educación

Bachelor's Degree in Computer Science, Information Technology, Information Systems, Engineering, Data Science

CDMP (Certified Data Management Professional) or equivalent certification

Professional certifications related to Data Management, Data Modeling, Data Architecture, or Analytics

Herramientas

SQL

ETL/BI Tools

Data Modeling Tools

Descripción del empleo

The Data Analyst & Designer Consultant is responsible for analyzing enterprise data landscapes, translating business requirements into data design solutions, and developing conceptual, logical, and physical data models that support analytics, reporting, and data-driven decision-making initiatives. The role works closely with data architects, business stakeholders, and implementation teams to design scalable, governed, and business-aligned data platforms while ensuring compliance with enterprise architecture and data governance standards.

Key Accountabilities:

• Analyze business requirements and translate them into detailed data requirements, business rules, and transformation specifications.
• Assess source systems and identify relevant data assets required to support business and analytics objectives.
• Design conceptual, logical, and physical data models aligned with enterprise data architecture principles.
• Develop and maintain enterprise data design artifacts, data dictionaries, and mapping documentation.
• Define source-to-target mappings, transformation rules, and data flow designs to ensure traceability and governance.
• Collaborate with data architects to design scalable, reusable, and modular data platform architectures.
• Support the development of data integration, analytics, reporting, and business intelligence solutions.
• Design storage-layer structures including data warehouses, data marts, data lakes, and analytical repositories.
• Identify extraction requirements, data sourcing strategies, and ingestion approaches for various source systems.
• Ensure alignment between data models, business semantics, performance requirements, and data quality standards.
• Work closely with data engineers to translate design specifications into data ingestion and transformation processes.
• Develop high-level and detailed solution design documents for data platform initiatives.
• Support data governance and architecture frameworks by ensuring consistency, compliance, and traceability across data assets.
• Participate in workshops, requirement gathering sessions, and design reviews with business and technical stakeholders.
• Contribute to continuous improvement initiatives related to data architecture, analysis, and design methodologies.

Minimum Qualifications:

• Bachelor's Degree in Computer Science, Information Technology, Information Systems, Engineering, Data Science.
• Professional certifications related to Data Management, Data Modeling, Data Architecture, or Analytics.
• CDMP (Certified Data Management Professional) or equivalent certification.
• +6 years of experience in Data Analysis, Data Modeling, Data Architecture, Data Design, or Enterprise Data Management.
• Proven experience analyzing complex business requirements and converting them into data design solutions.
• Experience designing enterprise data platforms, data warehouses, data marts, or analytics environments.

Job-Specific Skills:

• Business Requirements Analysis.
• Data Requirements Definition.
• Source System Analysis.
• Data Discovery and Assessment.
• Data Flow Analysis.
• Data Mapping and Transformation Design.
• Source-to-Target Mapping.
• Conceptual Data Modeling.
• Logical Data Modeling.
• Physical Data Modeling.
• Data Warehouse Design.
• Data Mart Design.
• Data Lake and Modern Data Platform Concepts.
• Data Governance Principles.
• Data Quality Requirements.
• Data Lineage and Traceability.
• Data Standards and Data Definitions.
• Business Glossary Development.
• SQL and Data Analysis.
• Data Integration Concepts.
• Data Storage Layer Design.
• Reporting and Analytics Data Structures.