Data Validation Analyst – Cape Town, Remote

Timepers

13d•Remote

About The Position

Where accuracy meets ambition - do you have the technical data savvy to join our client’s data validation team? Our international client with offices in Cape Town requires your minimum 3 -5 years’ experience managing data using your tech development or programming mindset skills. A neutral English accent is essential for international correspondence. This is an excellent opportunity to join a fast-paced industry and professional team who turns market intelligence into trusted datasets.

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
Minimum 3-5 years’ experience managing data
Tech development or programming mindset skills
Neutral English accent

Responsibilities

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