Hays

Product analyst

In short

Product Analyst role supporting Data Quality, Data Enrichment, and AI product development, focused on data/product quality analysis, AI model validation, and reporting for business and technical stakeholders. Requires at least 5 years of experience as a Product/Data/QA Analyst, strong SQL and analytical skills, experience with large datasets and data quality validation, basic ML/AI knowledge, and C1 English. Engagement is B2B, long-term, onsite in Warsaw.

About the Role
For our client, we are looking for a Product Analyst to support the development of products in the areas of Data Quality, Data Enrichment, and Artificial Intelligence. The role involves data and product quality analysis, AI model validation, and close collaboration with product, engineering, and data science teams to deliver high-quality data-driven solutions.
Responsibilities
•Analyze product quality, data, and business results.
•Work with data to identify trends, irregularities, and areas for improvement.
•Create reports, analyses, and recommendations for business and technical stakeholders.
•Verify and validate the quality of data used by AI and Machine Learning models.
•Label and classify transactional data and merchant data.
•Test and validate new features, deployments, and changes to data processing workflows.
•Analyze classification errors, data quality, and AI model results.
•Collaborate with Data Scientists and Machine Learning Engineers to improve model quality and training data.
•Document analysis and test results, and recommendations.
Requirements
•At least 5 years of experience as a Product Analyst, Data Analyst, Data Quality Analyst, QA Analyst, or in a similar role.
•Very strong analytical skills and a problem-solving mindset.
•Experience working with large datasets.
•Knowledge of SQL and data analysis and reporting tools.
•Experience in data quality, validation, testing, or business rule evaluation.
•Ability to conduct analyses independently and present findings.
•Basic knowledge of Machine Learning and AI.
•Very good command of English (C1).
Nice to have
•Experience analyzing transactional or financial data.
•Experience in data labeling, data annotation, or AI model validation.
•Knowledge of ML model evaluation metrics (Precision, Recall, Accuracy, F1 Score, Confusion Matrix).
•Experience in AI/ML, MLOps, or Data Platform environments.
•Knowledge of Google Vertex AI or similar platforms.
•Experience with regression testing, migration validation, and release management processes.
Conditions
•B2B cooperation.
•Long-term project.
•The cooperation is between businesses (B2B model) and involves providing services within the agreed project scope.
•The contractor independently organizes how the services are delivered, taking into account project requirements, security, and necessary communication with the client.

Stop applying.
Get referred.

$10 in free credits

In just 60 seconds, fully on autopilot — Eraldt's AI agents read your CV, map the roles you fit, find live vacancies and the people who can refer you, write personal emails, and get you referred.

This isn't an application: your CV doesn't go to the company, and we don't promise a referral for this exact role.

Discover who else lands interviews on autopilot