Data Analyst & Validator – Cape Town (Remote)

Reference: CPT005839-Jol-1

Where data meets detail – do you have the analytical mindset to turn information into trusted insights?

Our international client with offices in Cape Town, is looking for a Data Operator to play a key role in maintaining the quality, accuracy and reliability of their datasets. This is a detail-driven position where you will capture, maintain and validate data from a range of relevant sources.

Your attention to detail, consistency and sound judgement will directly influence the quality of the data and products the wider business relies on. Duties & Responsibilities

REQUIREMENTS

• Matric, relevant qualification highly advantageous

• Strong, sustained attention to detail during repetitive and high-volume work

• Sound research and problem-solving: verifies before trusting, investigates before escalating; researches and makes informed decisions with good justification

• Clear written and spoken English

• Good time management and self-organisation

• Takes ownership of tasks end to end; asks for support appropriately; works well in a team

• Comfortable learning new tools and adapting as processes change

• Confident with computers and everyday digital tools

DUTIES

• Capture and maintain data across relevant sources to a high standard of accuracy and completeness, including regular accommodation price and availability updates

• Apply quality assurance to your own work; identify and correct errors, inconsistencies, and gaps

• Research and verify data across multiple sources

• Gather market intelligence to support the development of the dataset

• Observe and analyse data changes across the student accommodation sector

• Follow data guidelines, processes, and quality assurance checks consistently

• Resolve issues independently where possible; escalate promptly when not

• Organise your workload to meet deadlines without compromising quality

• Communicate updates, questions, and blockers clearly; document your work for others to follow

• Support dataset-related projects and other areas of the business during busy periods, as needed

Salary: R negotiable dependent on experience

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