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Kaelo Lifestyle Data Specialist

Kaelo

Johannesburg, GP, South Africa permanent

Posted: March 6, 2026

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Quick Summary

The Data Specialist provides data analysis and interpretation services for the Kaelo Lifestyle Employee Assistance Programme, focusing on understanding client data to inform business decisions.

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.

The Data Specialist plays a critical role in managing, analysing, and interpreting data related to the Kaelo Lifestyle Employee Assistance Programme, lifestyle services, and client support. The Data Specialist will be responsible for collecting, organising, analysing and interpreting large sets of data to provide actionable insights that support decision-making, operational efficiency, and strategic planning. The role involves ensuring data accuracy, building reports, developing dashboards, and assisting in data governance and compliance.

Key Responsibilities

Data Management & Quality

• Collect, clean, and validate datasets to ensure accuracy and reliability
• Maintain and update data systems and databases, correcting errors where necessary.
• Ensuring compliance with data privacy and protection regulations.

Data Analysis & Reporting

• Analyse data trends and patterns to generate insights for business units
• Develop and maintain dashboards, reports and visualisations.
• Provide regular and ad hoc reporting to management and stakeholders.

Support Business Decisions

• Work with teams to identify key metrics and translate business needs into data requirements.
• Provide data-driven recommendations to improve processes, efficiency and service delivery.

Collaboration & Technical Support

• Partner with IT and system administrators to ensure optimal data integration.
• Train and support business users on data tools and best practices.
• Document processes, data definitions and reporting standards.

Qualification & Experience

• Bachelor's degree in Data Science, Information Systems, Statistics, Computer Science or related field.
• Minimum of 4 years’ experience in a data analysis, business intelligence, or reporting role.
• Strong knowledge of SQL, Excel, and at least one BI tool.
• Experience with data cleaning, transformation, and visualisation techniques.
• Familiarity with data governance, compliance and data privacy standards.

Skills & Competencies

• Analytical mindset with strong problem solving skills.
• High attention to detail and accuracy.
• Strong organizational and time management skills.
• Ability to communicate complex data in a clear and simple way.
• Team player who can also work independently.
• Proactive, curious and eager to learn new technologies.
• Advanced Microsoft Excel analytical skills
• Experience and proficiency in SSIS for designing and building ETL (Extract, Transform, Load) packages to clean, transform, and load data from various sources into the database.
• Experience and proficiency in SSRS for creating, deploying, and managing reports for stakeholders.
• Experience in Data Visualisation Tools such as Microsoft Power BI.
• Experience in Cloud Platforms such as Microsoft Azure or Google Cloud Platform
• Knowledge of services such as Azure Synapse, Google Looker Studio, Google Big Query

Key Performance Indicators

• Accuracy and timelines of reports and dashboards.
• Data integrity and compliance with governance standards.
• Stakeholder satisfaction with data insights provided.
• Contribution to data-driven decision making and process.

 

•       Accountability
•       Action orientated
•       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 orientated

 

 

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