Data Analyst Manager

Job Purpose

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:

Organizational Accountabilities:

• 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.

Functional Accountabilities:

Data Analysis & Insights

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.

2. Reporting & Dashboards

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.

3. 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.

4. 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.

5. 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.

6. 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.

Job Qualifications and Requirements:

4–10 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: