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 initiatives. The role involves monitoring data pipelines, validating data integrity, and collaborating with data science teams to deliver reliable datasets.

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 experience in data operations, analytics or pipeline management.
• Familiarity with SQL, Excel and relational database systems.
• Knowledge of ETL processes and data‑pipeline concepts.
• Understanding of data validation, transformation and cleaning techniques.
• Experience with cloud storage and workflow tools such as AWS, GCP or Azure.
• Ability to manage and prioritise multiple operational tasks.
• Relevant certifications (e.g., Google Data Analytics, Microsoft Data Fundamentals) are a plus.

Required skills

• SQL
• Excel
• Relational database systems
• ETL processes
• Data pipelines
• Data validation
• Data transformation
• Data cleaning
• AWS
• GCP
• Azure