Product Analyst - Data & Risk

Required Skills and Experience

• 1–3 years of relevant experience in a product analyst, data analyst, data quality, QA, product operations, data labeling, or similar role in a technology-driven environment.
• Strong analytical and problem-solving skills, with exceptional attention to detail and consistency.
• Comfortable working with data using tools such as SQL, spreadsheets, dashboards, or similar analytical tooling.
• Experience working with large datasets, data-quality processes, testing, validation, or business-rule assessment.
• Ability to investigate issues end-to-end, identify patterns and root causes, and communicate findings clearly.
• Understanding of core machine-learning concepts and workflows, including the importance of high-quality training data and model validation.
• Familiarity with classification problems and/or data annotation, labeling, or taxonomy-based workflows.
• Strong written and verbal English communication skills.
• Ability to collaborate effectively with both technical and non-technical stakeholders and to manage changing priorities.

Preferred Skills and Experience

• Experience analysing transaction data, merchant data, categorisation systems, or other financial-data classification problems.
• Experience with data labeling, annotation, model validation, or AI-assisted labeling workflows.
• Familiarity with model-evaluation concepts and metrics, including precision, recall, F1 score, accuracy, and confusion matrices.
• Experience supporting AI, machine-learning, MLOps, or data-platform environments.
• Familiarity with Google Vertex AI or comparable machine-learning platforms.
• Experience using SQL to investigate data issues and support product or quality analysis.
• Experience with test planning, regression testing, migration validation, or release-quality activities.
• Experience turning customer feedback or operational issues into structured analysis and product recommendations.