Lead, Data Analytics

AI overview

Drive the transformation of healthcare data into actionable insights, developing strategies and tools that enhance service delivery, patient outcomes, and compliance with data governance standards.

Job Summary

The Lead, Data Analytics will drive the transformation of healthcare data into actionable insights, supporting evidence-based decision-making and operational excellence across our network of healthcare facilities. This role is pivotal in developing data strategies, implementing advanced analytics tools, and collaborating with cross-functional teams to enhance service delivery, patient outcomes, and resource optimization. By leveraging data visualization, predictive modeling, and performance metrics, the Lead will empower leadership to align initiatives with organizational goals and improve healthcare quality. The position plays a critical role in fostering a data-driven culture and ensuring compliance with data governance standards.

Responsibilities

Develop and execute a comprehensive data analytics strategy to support clinical, operational, and financial decision-making.
Design, implement, and maintain dashboards, reports, and data visualization tools to monitor KPIs and identify trends for continuous improvement.
Lead the collection, validation, and analysis of healthcare data, ensuring accuracy, integrity, and compliance with regulatory requirements.
Collaborate with IT, clinical, and administrative teams to integrate data systems and optimize the use of health informatics tools.
Provide training and mentorship to staff on data literacy, analytics best practices, and the use of business intelligence platforms.

6-10 years of experience in data analytics, business intelligence, or health informatics, preferably within the healthcare sector.
Bachelor’s degree in Data Science, Statistics, Computer Science, Public Health, or a related field; a Master’s degree is an advantage.
Professional certification in data analytics (e.g., Certified Analytics Professional, Microsoft Certified: Data Analyst Associate) or equivalent.
Proficiency in data analysis tools (e.g., SQL, Python, R, Power BI, Tableau) and a strong understanding of healthcare data standards (e.g., HL7, FHIR).
Exceptional analytical, problem-solving, and communication skills, with the ability to translate complex data into clear, actionable insights for non-technical stakeholders.
Must be a resident of Imo State or open to relocation.