Corporate Data Analytics Section Head

4 days ago


Jeddah, Makkah Province, Saudi Arabia Saudi Air Navigation Services Full time

Responsible for the overall direction, coordination, implementation, execution, control, and completion of Corporate BI Projects and operational activities to provide speedy, concise, and trusted aggregates of corporate information which helps make better decisions based on facts and enhances profitability for the company. Ensure compliance with local/regional and global regulations for data privacy, management and governance.

Key Qualifications and Requirements:
  • 6-9 years of strong IT experience in BI, Data Warehousing for ERP, CRM, Cloud, and Project Costing, with a strong focus on Oracle and Power BI.
  • In-depth knowledge of ERP systems (modules, integration, and customization).
  • Advanced skills in data analytics and BI tools (SQL, Python, Power BI).
  • Strong business acumen and understanding of industry-specific processes.
  • Proven leadership and management experience in guiding teams and projects.
  • Data governance, privacy, and compliance expertise.
  • Data Architecture: Experience designing scalable and secure data architectures to support large-scale analytics operations.
  • Data Engineering: Strong skills in data pipeline design and ETL processes, Big Data Technologies: Experience working with big data frameworks.
  • Cloud Platforms: Expertise in cloud data platforms such as Microsoft Azure (Azure Data Lake) or Google Cloud.
  • Data Visualization: Proficiency in creating advanced data visualizations and dashboards using tools such as Power BI.
  • Programming Languages: Proficiency in programming languages, Data Science & Machine Learning: Knowledge of machine learning algorithms and experience.
  • Data Governance & Security: Expertise in data governance frameworks, data quality management, and data security best practices.
  • Advanced Analytics: Experience with predictive analytics, statistical modeling, and optimization techniques.
  • Relational & NoSQL Databases: Strong knowledge of both relational databases (e.g., SQL Server, Oracle, PostgreSQL) and NoSQL databases.
  • API Integration & Data Integration: Experience with API integration and managing data pipelines for seamless data integration across multiple systems.
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