Data Engineer

Paracon; City of Johannesburg Metropolitan Municipality; On-site; ZAR 390,600 - 613,800; Full time

Job summary

A leading data solutions firm in South Africa is seeking a skilled Analyst to ensure the integrity of data for its Life Business. In this role, you will support data flow and validation, conduct verification checks, and collaborate across functions to provide insights. Ideal candidates will hold a Bachelor's in Science and have at least 4 years of data analysis experience, particularly in SQL, Excel, and Power BI. Familiarity with Life Insurance is advantageous.

Qualifications

• Minimum of 4 years of relevant work experience in data analysis.
• Expert proficiency in Microsoft SQL for data ingestion and analysis.
• Excellent interpersonal communication and ability to work independently under pressure.

Responsibilities

• Support the flow of data from diverse input systems into concise, validated outputs.
• Conduct rigorous verification checks to ensure data integrity and completeness.
• Identify, document, and track erroneous data with the data team.

Skills

SQL mastery

Data manipulation

Interpersonal communication

Problem-solving

Education

Bachelor’s degree in Science (IT, Actuarial Science, or Data Science)

Tools

Microsoft SQL

Microsoft Excel

Power BI

Power Query

Power Pivot

Job description

Are you a data-driven professional who thrives in a high-performance environment?

Our Life Data Business Unit is looking for a skilled Analyst to join a team of highly motivated experts. This is a core function where technical SQL mastery meets business insight. You will be responsible for the integrity of the data that fuels our Life Business, ensuring that every transformation is accurate, validated, and ready for strategic consumption.

Key Responsibilities:

• Data Transformation: Support the flow of data from diverse input systems (including DINO and local SQL) into concise, validated outputs.
• Validation & Quality Control: Conduct rigorous verification checks to ensure data integrity and completeness.
• Problem Solving: Identify, document, and track erroneous data, collaborating with the wider data team to implement permanent solutions.
• Process Management: Gain a deep understanding of existing data frameworks and tools to optimize current workflows.
• Collaboration: Work cross-functionally to provide business teams with the insights they need to succeed.

Qualification:

• Academic Background: A Bachelor’s degree in Science (IT, Actuarial Science, or Data Science).
• Professional Experience: Minimum of 4 years of relevant work experience in data analysis.
• Technical Stack: Expert proficiency in Microsoft SQL (specifically for data ingestion and analysis).
• Advanced skills in Microsoft Excel, Power Query, Power Pivot, and Power BI.
• Data Competency: A proven ability to manipulate and organize large, complex data sets.
• Soft Skills: Excellent interpersonal communication and the ability to work independently under pressure.
• Advantageous: Prior knowledge of Life Insurance products will be highly regarded.