Data Controller

About

My client builds technology that supports realworld operational environments where data accuracy genuinely matters. This role acts as the first line of support across the platform, giving you deep exposure to how operational systems, data flows, and automation really work.

As a Data Controller, you’ll work closely with the Operations Team Lead and Operations Analyst, handling firstline support queries, managing data exceptions, and helping identify processes that should be automated. You won’t just capture issues, you’ll help trace root causes and feed meaningful insights back to analysts and developers.

This role is designed as a launchpad. It builds the foundation for future growth into data analytics, operations analysis, or account management.

This is not a passive dataentry role. It’s for someone who asks why, not just what.

What you’ll be working on:

• Managing and resolving firstline support queries via a ticketing system
• Logging, prioritizing, and escalating operational and data issues
• Order loading, pack planning, yield estimations, and reconciliations
• Investigating missing, incomplete, or illogical datasets
• Identifying repetitive tasks and opportunities for automation
• Understanding how business processes translate into data flows
• Supporting data accuracy across frontend and backend processes (ETL exposure)
• Communicating clear problem statements to analysts and developers
• Contributing feedback that improves platform stability and usability

Skills & Experience:

• Minimum 1–2 years’ experience in an operational, logistics, data, or analytical environment (beneficial, not essential)
• Strong numerical, analytical, and problemsolving ability
• Advanced computer literacy, especially Excel
• High attention to detail and data accuracy
• Ability to work under pressure in a fastmoving environment
• Strong written and verbal communication skills (English required)
• Comfortable collaborating across teams (operations, data, product)
• Curious mindset with an interest in systems, automation, and technology

Qualification:

• Degree preferred in Informatics, Industrial Engineering, Computer Science, Mathematics, Engineering, Business Administration, BCom, or Agricultural Economics
• Driver’s license (some travel required)