Senior Quality Data Analyst
Sonova AG Alacant / Alicante, Valencian Community, Spain
Medical Equipment Manufacturing · 10,001+ employees
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About the role
Develop and apply advanced statistical methods to identify quality trends, risks, and improvement opportunities within complex datasets. Collaborate with cross-functional stakeholders to translate business needs into actionable analytical approaches and reporting solutions.
What they look for
Requirements
Requires experience in a similar role, proficiency in SQL and Python, and a relevant degree. Candidates should possess strong analytical skills and the ability to communicate findings to both technical and non-technical audiences.
Full description
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.
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