Data Analyst Supervisor

The Data Analyst is responsible for analyzing, validating, and transforming organizational data into meaningful insights that support strategic, clinical, operational, and financial decision-making. The role ensures high data quality, accuracy, and consistency while enabling data-driven culture across the organization in alignment with the Data Management Office (DMO) frameworks and governance standards.

Roles and Responsibilities:

• Analyze large datasets to extract meaningful insights and support hospital operations.
• Create regular reports and dashboards for all domains in the corporate.
• Work with stakeholders to understand data needs and translate them into actionable reports.
• Ensure data accuracy and integrity in all analytical outputs.
• Support ad-hoc data requests from leadership teams.
• Deliver accurate, timely, and actionable insights.
• Ensure compliance with organizational data policies and healthcare regulations.
• Maintain documentation for reports, dashboards, and analytical models.
• Continuously improve analytical processes and methodologies.
• Support enterprise initiatives related to performance management and strategic planning.

• Data Analysis & Insights:
  Analyze large and complex datasets from clinical, operational, and financial systems to identify trends, patterns, risks, and opportunities to support executive decision-making.
• Design, develop, and maintain dashboards and reports using BI tools (Power BI, Tableau); ensure reports meet business requirements and are user-friendly; automate recurring reports to improve efficiency.
• Data Quality & Integrity:
  Validate data accuracy, completeness, and consistency across data sources; identify data quality issues and work with Data Owners and Data Stewards to resolve them; support implementation of data quality rules and monitoring mechanisms.
• Stakeholder Engagement:
  Gather and document business requirements from clinical, operational, and financial stakeholders; translate business needs into analytical models and reporting solutions; act as a bridge between business teams and technical teams.
• Data Governance Support:
  Support DMO initiatives related to data governance, data standards, and metadata; ensure analytical outputs comply with data governance policies and healthcare regulations; assist in maintaining data definitions, KPIs catalogs, and business glossaries.
• Advanced Analytics & Enablement:
  Use SQL, Python, or R for advanced analysis when required; support predictive and descriptive analytics initiatives; promote data literacy and best practices across the organization.

• 6–10 years of experience in data analytics, preferably within the healthcare sector.
• Strong knowledge of enterprise data architecture frameworks (TOGAF, DAMA-DMBOK).
• Experience with healthcare systems (HIS, EMR, LIS, RIS, ERP) and data platforms.
• Strong skills in statistical analysis and data visualization.
• Proficiency in data analysis tools (e.g., Excel, Power BI, Tableau).
• Certification in Data Analysis (e.g., Microsoft Certified Data Analyst).
• Proficiency in SQL and statistical software (e.g., R, Python).
• Familiarity with healthcare data standards and reporting requirements.
• Education:
  
  Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field (required).
• CDMP (Certified Data Management Professional) (preferred).

Education and Certification

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field (required).
• CDMP (Certified Data Management Professional) (preferred).

• Proven expertise in healthcare and government sectors, with strategic planning capabilities.
• Strong skills in communication, mediation, and conflict resolution.
• Deep understanding of data architecture, analysis, and visualization.
• Excellent administrative and organizational skills.
• Good communication skills in Arabic and English (verbal and written).
• Strong proficiency in Microsoft Office (Word, Excel, PowerPoint, Outlook).
• Ability to prepare clear reports, meeting minutes, and maintain accurate records.