Product Analyst- Data & Risk

INFOPLUS TECHNOLOGIES; Województwo mazowieckie; On-site; PLN 120,000 - 180,000; Full time

Job summary

INFOPLUS TECHNOLOGIES in Warsaw invites an experienced Product Analyst to support Data & Risk initiatives, focusing on product analysis, data quality, data validation, and AI/ML model quality.

You will work with large datasets, perform labeling and classification, validate AI outputs, and collaborate with Product, Data Science, and Engineering teams to improve processes and product performance.

Qualifications

• 3+ years of experience as a Product Analyst, Data Analyst, Data Quality Analyst, or similar role.
• Strong SQL and data analysis skills are required.
• Experience with large datasets and data validation.
• Knowledge of data labeling, classification, and annotation.
• Understanding of AI/ML concepts and model validation.
• Familiarity with testing and quality assurance processes.

Responsibilities

• Analyse product performance, data quality, and customer feedback.
• Work with large datasets using SQL, spreadsheets, and dashboards.
• Perform data validation, quality checks, and testing.
• Label and classify merchant and transaction data.
• Validate AI-generated outputs and identify data inconsistencies.
• Analyse model performance using accuracy, precision, recall, and F1 score.
• Collaborate with Product, Data Science, and Engineering teams.
• Document findings and recommend process improvements.

Skills

SQL

Data analysis

Data validation

Data labeling

AI/ML concepts

Model validation

Testing & QA

Communication skills

English proficiency

Job description

Location: Warsaw, Poland

Experience: 3+ Years

Job Description

We are looking for an experienced Product Analyst to support Data & Risk initiatives, focusing on product analysis, data quality, data validation, and AI/ML model quality. The ideal candidate should have strong analytical skills, experience working with large datasets, and an understanding of data classification and machine learning concepts.

Key Responsibilities

• Analyse product performance, data quality, and customer feedback.
• Work with large datasets using SQL, spreadsheets, and dashboards.
• Perform data validation, quality checks, and testing.
• Label and classify merchant and transaction data.
• Validate AI-generated outputs and identify data inconsistencies.
• Analyse model performance using accuracy, precision, recall, and F1 score.
• Collaborate with Product, Data Science, and Engineering teams.
• Document findings and recommend process improvements.

Required Skills

• 3+ years of experience as a Product Analyst, Data Analyst, Data Quality Analyst, or similar role.
• Strong SQL and data analysis skills.
• Experience with large datasets and data validation.
• Knowledge of data labeling, classification, and annotation.
• Understanding of AI/ML concepts and model validation.
• Familiarity with testing and quality assurance processes.
• Good analytical, problem-solving, and communication skills.
• Strong English communication skills.

Nice to Have

• Experience with merchant or transaction data.
• Knowledge of machine learning model evaluation metrics.
• Exposure to Google Vertex AI or similar platforms.
• Experience with AI/ML or data-driven products.