Data Operations Analyst

About the role

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

Key responsibilities

• Monitor and manage data pipelines and workflows.
• Validate data quality and integrity at each stage of processing.
• 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 optimize 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 (advantageous).
• Ability to manage and prioritize 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)