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Sonova Group

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Senior Quality Data Analyst

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Summary

As a Senior Quality Data Analyst in Sonova's Quality and Regulatory team, you turn large, complex product quality datasets into insights using advanced statistics, SQL, and Python — supporting root-cause investigations, quality trend detection, and emerging predictive/AI-enabled analytics.

Join our Quality and Regulatory team as a Senior Quality Data Analyst. In this position, you will be responsible for transforming complex product-related data into actionable insights that support the continuous improvement of our business. As a subject matter expert, you will have the opportunity to make a real impact on the ongoing evolution of Quality Data Excellence within Quality and Regulatory.

Task & 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.

More about you

We’re looking for a person with experience and a focus on statistical analysis who can not only technically analyze provided data but also draw conclusions from it that can contribute to the development of our products.

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).

Good to have qualifications:

  • Experience with Databricks or a similar platform.
  • Experience working with hardware product data.

Skills

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See also

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