Lily Hospitals is one of Nigeria’s growing networks of private healthcare institutions with an outstanding reputation for delivering excellent clinical services. Since our inception under the current management (1998), we have remained at the forefront of providing and delivering quality patient-centered, responsive, and technology-driven care across various locations in Nigeria to both citizens and foreign nationals.
Job Position: Data Analyst
Job Location: Warri, Delta
- 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.
16th November, 2023.
How to Apply
Interested and qualified candidates should send their CV to: firstname.lastname@example.org using the Job Title as the subject of the mail.