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INFOPLUS TECHNOLOGIES

Product Analyst- Data & Risk

INFOPLUS TECHNOLOGIES Alle Angebote ansehen
Warszawa
vor 23 Stunden

Kurzfassung

Product Analyst needed for Data & Risk at INFOPLUS TECHNOLOGIES in Warsaw. Focus on product analysis, data quality, validation, and AI/ML model quality. Requires 3+ years experience, strong SQL, data analysis, and understanding of AI/ML concepts. Collaborate with cross-functional teams.

Von KI erstellte Kurzfassung des Anzeigentextes.

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.
Veröffentlicht 2026-11-02
Läuft ab 2027-01-31
Quelle