Role Description
The Data Analyst will play a key role in supporting the Operations Department by providing actionable insights and reliable data-driven solutions that enhance decision-making across all business and healthcare functions. The role focuses on collecting, processing, and analyzing data, developing business intelligence reports, and maintaining data quality, efficiency, and integrity in line with MBHS standards.
Key Role Accountabilities
- Collect, clean, and analyze large datasets from multiple sources to generate actionable insights.
- Build, maintain, and optimize dashboards, reports, and visualizations using BI tools (e.g., Qlik Sense, Power BI) and programming languages (e.g., Python, SQL)
- Identify, analyze, and interpret trends, patterns, and correlations in complex data sets.
- Support the Operations Department with data-driven reports that enhance efficiency and service delivery.
- Recommend and implement best practices for data collection, storage, and management to improve data quality and system efficiency.
Collaborate with departmental teams to translate business needs into reporting and analytics requirements.
- Conduct periodic data audits and ensure compliance with data governance standards.
- Provide training and support to end-users on dashboards and reporting tools.
Key Competencies
- Strong understanding of data protection principles and regulatory frameworks.
- Excellent analytical and problem-solving skills.
High level of integrity and professional ethics.
- Strong communication and interpersonal skills.
- Ability to handle confidential information with discretion.
- Detail-oriented with a proactive approach.
Experience and Educational Requirements
- Bachelor’s degree or higher in Computer Science, Information Technology, Statistics, Mathematics, Engineering, or a related field.
- Minimum of 2 years’ proven experience in a Data Analyst, Data Engineer, or similar analytical role.
- Strong knowledge of SQL and experience working with BI tools such as Qlik Sense and Power BI.
- Proficiency in Python (or R) for data analysis, modeling, and automation.
- Advanced skills in Microsoft Excel and other MS Office applications.
- Experience in data visualization, reporting, and data-driven decision support.
