Lily Hospitals is a multi-specialty private hospital. We offer world-class services in key areas of healthcare including fertility treatment, cardiology, urology, ophthalmology and pediatrics. Collectively, our hospitals offer a range of diagnostic services including: Magnetic Resonance Scanners (MRI), Advanced Ultrasound Scanners, 4 Slice CT scanner, Digital Conventional Radiology, Endoscopy, Screening Mammography, Advanced Vision Screening, Cardiac imaging and Pathology Services. Since we were established in 1984, Lily Hospitals have grown in both size and scope of services offered. We are passionate about achieving our vision to become one of the foremost healthcare groups in Nigeria by 2020 by continuously improving care and governance to provide a growing number of Nigerians with high quality and affordable private hospital care.
Job Description
- As a Data Analyst at Lily Hospitals, you will be at the forefront of turning data into actionable insights that drive business decisions and strategies. You will work closely with cross-functional teams to gather, analyze, and interpret data to provide valuable recommendations.
Your Responsibilities
- Collecting, cleaning, and organizing large datasets from various sources.
- Conducting statistical analyses to identify trends, patterns, and correlations.
- Developing and maintaining data models, dashboards, and reports.
- Collaborating with stakeholders to understand business requirements and objectives.
- Providing insights and recommendations based on data analysis to support decision-making.
- Monitoring data quality, integrity, and accuracy.
- Contributing to the development and optimization of data processes and systems.
Requirements
- Bachelor's Degree in Statistics, Mathematics, Computer Science, Economics, or related field.
- Proven experience (2-5 years) as a Data Analyst.
- Candidate must be willing to relocate for this role.
- Proficiency in data analysis tools and programming languages such as SQL, Python, R, etc.
- Strong analytical and problem-solving skills with attention to detail.
- Excellent communication and presentation skills.
- Ability to work collaboratively in a fast-paced environment.
- Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Knowledge of machine learning techniques and algorithms is an advantage.
Method of Application
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