Data Analyst at HealthX Africa

Job role

Data Collection & Analysis

• Gather, clean, and analyze healthcare data from multiple sources, including electronic medical records, patient surveys, website analytics, and social media platforms.
• Collaborate with medical staff, including physicians and nurses, to understand their data needs and provide insights that enhance patient care and reduce treatment costs.
• Develop and maintain databases, ensuring data accuracy, relevancy, and completeness.

Data Visualization & Reporting

• Create compelling data visualizations using tools like Power BI and Excel to communicate findings effectively to both technical and non-technical audiences.
• Prepare and present detailed reports and presentations to senior management, showcasing key healthcare data and trends.
• Design and develop analytical support for senior management to inform key business decisions, including health plan performance, financial modelling, and strategic forecasting.

Process Improvement & Integration

• Identify opportunities for process improvements within the data analysis function and across the broader organization, enhancing efficiency and effectiveness.
• Work closely with other departments to integrate data analysis into their decision-making processes, ensuring the effective implementation of data-driven strategies.
• Develop new data-driven processes from scratch to support additional decision-making needs within the company.

Strategic & Operational Support

• Create, update, and maintain departmental dashboards to support the development of operational and strategic reports across all departments.
• Provide ad-hoc analysis to support executive decision-making, identify trends, and provide actionable recommendations.

Collaboration & Advocacy

• Advocate for optimal performance on key success factors, effectively communicating analytical insights and promoting data-driven decision-making across the organization.
• Identify opportunities to enhance the team's analytical capabilities, mentoring colleagues to maximize process efficiency and data utilization; and
• Perform any other duties as may be assigned by the IT Lead to support members within the IT team.