Senior Quality Data Analyst: AI-Driven Predictive Analytics

Sonova Group; Polska; Hybrid; PLN 180,000 - 280,000; Full time

Job summary

Sonova is seeking a Senior Quality Data Analyst to transform complex product data into actionable insights that support continuous improvement within Quality and Regulatory. You will analyze data to identify quality trends and inform product decisions across teams.

This role requires strong SQL and Python, experience with large datasets, and the ability to communicate results to both technical and non-technical stakeholders. Fluency in English (B2+) is essential.

Qualifications

• Experience in a similar position.
• Experience with SQL.
• Experience with Python or other programming languages.
• A degree in a relevant field.
• Fluency in English (minimum B2 level).

Responsibilities

• Develop and apply advanced analytics and statistical methods to identify quality trends, risks, signals, and improvement opportunities.
• Analyse large and complex datasets to generate actionable insights supporting quality, regulatory, and business decision-making.
• Support investigations, root cause analysis, and continuous improvement initiatives through data-driven analysis.
• Collaborate with cross-functional stakeholders to understand business needs and translate them into analytical approaches and reporting solutions.
• Contribute to the development of predictive, risk-based, and AI-enabled analytics capabilities within QARA.
• Present analytical findings and recommendations clearly to technical and non-technical audiences.
• Support the continuous improvement of quality data platforms, data models, and reporting structures.

Skills

Statistical analysis

SQL

Python

English (B2+)

Education

Degree in a relevant field

Tools

Databricks

Job description

Sonova is seeking a Senior Quality Data Analyst to transform complex product data into actionable insights that support continuous improvement within Quality and Regulatory. You will analyze data to identify quality trends and inform product decisions across teams.

This role requires strong SQL and Python, experience with large datasets, and the ability to communicate results to both technical and non-technical stakeholders. Fluency in English (B2+) is essential.