Health systems and data analyst Team Lead

Kaelo; Johannesburg; On-site; ZAR 600 000 - 800 000; Full time

Job summary

A healthcare solutions provider in Johannesburg is seeking a talented Data Analyst to develop insights from health data. The ideal candidate will have at least 6 years of experience, proficiency in SQL, and the ability to visualize data through tools like Power BI. This role includes developing reports and dashboards, ensuring data quality, and communicating findings effectively across the organization.

Qualifications

• Minimum of 6 years of experience as a Data Analyst or similar role.
• Strong analytical and problem-solving skills with proficiency in statistical methods.
• Experience with data manipulation tools and data visualization.

Responsibilities

• Develop reports and dashboards based on stakeholder needs.
• Perform exploratory data analysis to identify trends and patterns.
• Communicate complex data findings effectively to various audiences.

Skills

Data analysis

SQL

Statistical methods

Data visualization

Interpersonal skills

Education

Bachelor's degree in Statistics, Mathematics, Computer Science, or Business Analytics

SQL certificates

Power BI certificates

Intermediate or advanced Excel qualifications

Tools

SQL

Power BI

Python libraries (e.g., Pandas, NumPy)

Jupyter Notebook

Job description

About Kaelo

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

Seeking a talented and results-oriented analyst to join our Health systems and Data analytics team. You will be responsible for developing an in-depth understanding of the Health business. You will work with the business to ensure business requirements are interpreted and understood correctly. You will also extract data, develop reports, and create presentations as required. An essential part of your role will be to reconcile and validate data and reports to ensure the information is accurate. It is very important that the data and systems analyst understand the information in the report they are creating and distributing. They will be expected to critically analyse the reports and the results.

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

• Bachelor's degree in Statistics, Mathematics, Computer Science, Business Analytics, or a related field.
• SQL certificates/qualifications
• Power BI certificates/qualifications
• Intermediate or advanced Excel certificates/ qualifications

Knowledge/Experience

• Minimum of 6 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.
• Attention to detail
• 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

• Accountability
• Action oriented
• Collaborative
• Communication
• Business writing skills
• Manage complexity
• Problem solving skills
• Decision thinking
• Encourages engagement
• Resilient and adaptive
• Resourceful
• Demonstrates self-awareness
• Purpose driven
• Significance and values oriented