Data Analyst Job at Kaelo – South Africa

Company Description

Kaelo provides essential healthcare solutions ensuring the physical and psychosocial wellbeing of all South Africans towards lasting social change. Kaelo meets the Healthcare needs of Corporate and Retail clients across South Africa – products offerings include Medical Insurance, Medical Aid, Gap Insurance, Kaelo Money and employee assistance programmes.

Job Description

Location: Johannesburg, 2196, South Africa

Job requirements:

• Partner with stakeholders to understand data requirements and translate them into clear and concise analytical questions.
• Develop reports and dashboards based on needs of stakeholders.
• Access, clean, and transform large datasets from various sources using SQL and data manipulation tools (e.g., Python libraries, Jupyter notebook).
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Develop and implement statistical models and reporting dashboards to visualize data insights.
• Communicate complex data findings effectively through reports, presentations, and visualizations tailored to diverse audiences.
• Generate data-driven recommendations to support informed decision-making across various business functions.
• Stay up-to-date on emerging data analysis techniques and technologies, continuously seeking opportunities to improve data-driven processes.
• Maintain a high level of data quality and ensure data integrity throughout the analysis process.
• Collaborate with IT and data engineering teams to access and integrate data as needed.
• Document data analysis processes and methodologies for clear communication and knowledge transfer.

Qualifications

Qualification:

• Bachelor’s degree in Statistics, Mathematics, Computer Science, Business Analytics, or a related field.

Knowledge/Experience:

• Minimum of 5 years of experience as a Data Analyst or similar role.
• Strong analytical and problem-solving skills with a proficiency in statistical methods and hypothesis testing.
• Experience with SQL queries and data manipulation tools (e.g., Jupyter notebooks, Python libraries like Pandas, NumPy).
• Experience with data visualization tools (e.g., Power BI) to create clear and compelling presentations.
• Excellent communication and interpersonal skills, with the ability to effectively translate technical concepts to non-technical audiences.
• A collaborative approach to working with cross-functional teams.
• Strong attention to detail and a commitment to data accuracy and integrity.

Additional Information

Personal Attributes

• Excellent problem-solving skills backed by solid technical knowledge.
• Excellent customer service and communication skills, with the ability to explain technical concepts to non-technical users.
• Excellent organisational and time-management skills, with the ability to manage multiple priorities in a fast-paced environment.
• A versatile and service-oriented mind-set.
• Good communication skills.
• Understands the importance of documentation.
• Open to learn, but also willing to teach.