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Data Analyst at Lily Hospitals Limited

Lily Hospitals LimitedDelta, Nigeria Data and Artificial Intelligence
Full Time
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

  • A Data Analyst is responsible for interpreting complex data sets to identify trends, patterns, and insights that can help businesses make informed decisions.
  • They collect, process, and analyze data, and then use statistical methods and software to interpret the results and present findings to support strategic and operational decision-making within an organization.


  • Data Collection: Gather large datasets from various sources, ensuring data quality and accuracy.
  • Data Cleaning and Processing: Clean, preprocess, and transform raw data into usable formats for analysis.
  • Data Analysis:Use statistical techniques and data analysis tools to interpret complex data sets and extract meaningful insights.
  • Data Visualization:Create visually appealing and easy-to-understand graphs, charts, and dashboards to present data-driven insights to stakeholders.
  • Pattern Recognition: Identify patterns, trends, and correlations in data that can provide valuable business insights.
  • Predictive Analysis: Develop and implement predictive models using statistical and machine learning techniques.
  • Reporting:Prepare and present detailed reports and findings to both technical and non-technical stakeholders.
  • Database Management:Manage and maintain databases, ensuring data integrity and security.
  • Continuous Monitoring:Monitor data trends and quality over time, making recommendations for improvements as necessary.


  • A Bachelor's Degree in a relevant field such as Mathematics, Statistics, Computer Science, Information Technology, Economics, or a related discipline is typically required. Many data analysts also pursue additional certifications or specialized training in data analysis and visualization tools.


  • Entry-level positions and a few years of relevant internship or work experience is required for this role.


  • Statistical Analysis: Proficiency in statistical methods and tools to analyze and interpret data accurately.
  • Programming Languages: Proficiency in languages like Python, R, SQL, or others for data manipulation and analysis.
  • Data Visualization: Familiarity with tools like Tableau, Power BI, or Matplotlib for creating visually appealing data representations.
  • Data Cleaning:Ability to clean and preprocess data, handling missing values and outliers effectively.
  • Critical Thinking:Strong analytical and problem-solving skills to interpret complex data sets and draw meaningful conclusions.
  • Communication: Ability to communicate complex findings and insights effectively to both technical and non-technical audiences.
  • Database Management:Knowledge of database systems and data warehousing concepts.
  • Machine Learning:Basic understanding of machine learning algorithms and their applications.

Method of Application

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