Data Operations Analyst

About the role

We are looking for a Data Operations Analyst to ensure smooth handling, quality, and management of operational data supporting AI, machine-learning and business-intelligence projects. The role involves monitoring, validating and optimizing data ingestion, storage, transformation and annotation workflows.

Key responsibilities

• Monitor and manage data pipelines and related workflows.
• Validate data quality and integrity at each processing stage.
• Prepare and analyse datasets for AI and data teams.
• 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 (preferred).
• Ability to manage and prioritise multiple operational tasks.

Required skills

• SQL
• Microsoft Excel
• Database systems
• ETL processes
• Data pipelines
• Data validation
• Data transformation
• Data cleaning
• AWS
• GCP
• Azure
• Workflow orchestration tools