Data Operations Analyst

About the role

We are seeking a Data Operations Analyst to ensure smooth handling, quality, and management of operational data for AI, machine‑learning, and business‑intelligence projects. The role monitors, validates, and optimizes workflows involving data ingestion, storage, transformation, and annotation. The ideal candidate is analytical, detail‑oriented, and experienced in managing data pipelines and operations.

Key responsibilities

• Monitor and manage data pipelines and related workflows.
• Validate data quality and integrity at each processing stage.
• Support AI and data teams with dataset preparation and analysis.
• Identify and resolve data inconsistencies and errors.
• Generate reports on data‑operations metrics and quality KPIs.
• Collaborate with stakeholders to optimise data‑handling processes.
• Maintain documentation of operational workflows and procedures.

Required profile

• Bachelor’s degree in Data Science, Computer Science, Information Systems, Statistics or Mathematics.
• 3‑5 years of proven experience in data operations, analytics, or pipeline management.
• Relevant certifications such as Google Data Analytics, Microsoft Data Fundamentals or ETL training (advantage).
• Ability to manage and prioritise multiple operational tasks.

Required skills

• SQL
• Excel
• Database systems
• ETL processes and data pipelines
• Data validation, transformation and cleaning techniques
• Cloud storage platforms (AWS, GCP, Azure)