The data analyst will play a critical role in transforming healthcare data for HealthX into actionable insights that drive strategic decision-making and operational efficiency in a dynamic telehealth environment. This role involves analyzing complex healthcare data from various sources, developing comprehensive reports and dashboards, and collaborating with cross-functional teams to optimize patient care and minimize costs. The ideal candidate is adept at data visualization, proficient in SQL, and possesses a keen understanding of the healthcare landscape.
HealthX Africa is committed to fostering an inclusive and diverse workplace. We actively encourage individuals living with disability who meet the job and requirements of the role to apply.
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.
2. 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.
3. 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.
4. 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.
5. 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.
