Data Analyst at Lily Hospitals Limited

Lily hospitals Limited, established since 1986 remains one of the foremost hospitals in Nigeria and within the South-South region of the country. It is the first private hospital in Nigeria to achieve ISO 9001:2000 quality management system certification from the Standards Organization of Nigeria (SON) and was also recently accredited with COHSASA (Council for Health Service Accreditation of Southern Africa) Certificate.

We are recruiting to fill the position below:

Job Title: Data Analyst

Location: Warri, Delta
Employment Type: Full-time

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.

Application Closing Date
26th May, 2024.

Method of Application
Interested and qualified candidates should forward their CV (MS Word doc only) to: [email protected] using the job title as the subject of the mail.