At Withings, we want to empower people to take control of their health. We are passionate about creating beautiful and intuitive products that are easy to use in everyday life; our connected scales, hybrid watches, blood pressure monitors, sleep monitors and all the devices in our range are now used by millions of users. Our goal is to enable prevention, screening and support for a number of chronic diseases through innovative products and services, to revolutionize the way we take care of our health.

Withings processes an ever-increasing amount of data in order to improve the functioning of its products, to offer new ones and to develop new innovative features. The Data Analytics team is responsible for supporting the business teams, answering their questions and enabling them to monitor key performance indicators, as well as ensuring the relevance and quality of the data analyzed.

The Quality team has a critical mission:

• Guaranteeing the proper functioning of our products and associated software, from development to market release.
• Proactively identifying and addressing quality issues by thoroughly testing products, analyzing data from various sources (including manufacturing, internal beta-testing, and customer feedback), and collaborating with development teams to implement solutions.

As a member of the Data Analytics team and reporting to the Quality team, you will be required to:

• Analyze vast amounts of data related to product performance, internal testing, and market feedback (from sources like software logs)
• Implement robust data pipelines to aggregate, clean, transform, and precompute large volumes of diverse quality-related data.
• Create and maintain dashboards to monitor key performance indicators related to Product Quality, including market usage data, measurement failure rates, or other software indicators such as resets, errors/bug traces...retrieved from devices in customer hands
• Propose data architectures and solutions tailored to the specific needs of quality assurance
• Collaborate closely with hardware and software engineering teams to provide data-driven support
• Support the Quality team in defining data collection strategies during product development to enable comprehensive quality tracking.

With your experience in Python, you will also be required to:

• Develop scripts to support the developpement of automated tests in order to help speed up and reinforce the Software Quality team in the product software verification phases

Requirements

• Master's degree or equivalent (e.g., engineering school, doctorate) in a quantitative field (e.g., Engineering, Statistics, Computer Science, Data Science).
• Data-driven mindset with a strong analytical aptitude and a passion for improving product quality, and ultimately the user experience.
• Proficiency in SQL and Python for data manipulation, analysis, and automation.
• Experience in designing and maintaining dashboards and data visualizations (e.g., using Metabase, Tableau, Power BI, Looker, or Python libraries) or building data pipelines (e.g., using dbt, Dagster or Airflow).
• A first successful experience in a data-oriented role (e.g., Data Analyst, Data Scientist, Quality Engineer with strong data focus), ideally with exposure to quality or engineering data analysis is a strong plus.
• Good understanding of product development lifecycles and/or quality assurance methodologies is a strong plus.

Benefits

Not sure? We tell you why you should join us:

• Our teams are young, dynamic and work with passion.
• We have kept our start-up spirit and like to celebrate each of our successes together!
• Agility and responsiveness are our watchwords.
• You will become a beta tester and contribute directly to the development and continuous improvement of our products.
• We are sports enthusiasts and will gladly welcome you in our different teams.