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Data Analyst Supervisor

2 days ago

Riyadh, Ar Riyāḑ, Saudi Arabia Dallah Health Full time

Analyze large and complex datasets from clinical, operational, and financial systems.

Identify trends, patterns, risks, and opportunities to support executive decision-making.

Perform ad-hoc and recurring analysis as requested by leadership and business units.

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 and reduce manual effort.

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.

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.

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.

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.

Desired Candidate Profile

Job Qualifications and Requirements:

6 10 years of experience in data analytic 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 and Certifications:

  • Bachelor s degree in Computer Science, Information Systems, Data Engineering, or related field (required).
  • TOGAF Certified (Enterprise Architecture) (highly desirable).

CDMP (Certified Data Management Professional) (preferred).

Skills:

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.

Attitude:

Strong Work Ethic

Dependability and Responsibility

Possessing a Positive Attitude

Adaptability

Honesty and Integrity

Self-Motivated

Motivated to Grow and Learn

Strong Self-Confidence