AI Quality & Product Analytics Analyst

Infinity Quest Limited

Stockholms län

On-site

SEK 550,000 - 700,000

Full time

11 days ago

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Job summary

Infinity Quest Limited is seeking a Product Analyst to support the Merchant Information and Data Labeling and AI Quality Validation workstreams. You will analyse performance, quality signals, and customer feedback, and translate findings into actionable insights for product teams.

The role involves data querying, creating visualisations, supporting discovery, and participating in testing and validation across ML models and data workflows.

Qualifications

  • 1–3 years of relevant experience in product analytics, data quality, QA, or related roles.
  • Strong analytical and problem-solving skills with high attention to detail.
  • Experience with SQL, spreadsheets, dashboards, or similar analytical tools.
  • Experience handling large datasets and data-quality processes.
  • Ability to investigate issues end-to-end and communicate findings clearly.
  • Knowledge of ML concepts and model validation is a plus.

Responsibilities

  • Analyse product performance, quality signals, customer feedback, and operational data.
  • Query, structure, and analyse data to identify patterns and opportunities for product improvement.
  • Create clear visualisations, reports, and summaries for stakeholders.
  • Support product discovery by clarifying requirements and translating feedback into findings.
  • Assist with testing, validation, and QA during releases and migrations.

Skills

SQL
Data analysis
Quality assurance
Data visualization
English communication

Tools

Google Vertex AI

Job description

Infinity Quest Limited is seeking a Product Analyst to support the Merchant Information and Data Labeling and AI Quality Validation workstreams. You will analyse performance, quality signals, and customer feedback, and translate findings into actionable insights for product teams.

The role involves data querying, creating visualisations, supporting discovery, and participating in testing and validation across ML models and data workflows.

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