Closed Applications No Longer Accepted
Nota Bene: This job opportunity at Hermès was available until Wednesday, February 19, 2025, but applications are no longer being accepted.
Hermès Data Quality Analyst Intern
Hermès, a distinguished French maison established in 1837, is renowned for its craftsmanship and high-quality creations. As a family-owned and independent entity, Hermès employs nearly 20,000 individuals globally. The brand is celebrated for its entrepreneurial spirit and commitment to excellence, fostering an environment of autonomy and responsible management. Hermès is dedicated to preserving exceptional savoir-faire through a strong territorial presence, respecting both people and nature, which are sources of its exquisite materials. The brand's creativity is fueled by fifteen artisanal métiers, with collections available in over 300 stores worldwide.
- Support the Data Quality project by organizing and facilitating workshops to specify Business Quality Rules, collaborating with business teams to gather requirements and formalize functional specifications.
- Develop reports related to Business Quality Rules, participate in designing dashboards to monitor data quality, and challenge performance within the business.
- Centralize definitions and metadata of data models, ensuring coherence and updates in a unified repository.
- Collaborate with a Data Engineer to automate documentation processes, building an automated pipeline for integrating metadata into BI tools and documenting technical steps.
- Identify and propose improvements for data governance processes, document best practices, and support users in adopting new tools and methodologies.
- Currently enrolled in an engineering school, business school, or university with a specialization in Data Management, Big Data, or Information Systems.
- Previous experience in data, BI, or project management through internships or work placements is advantageous.
- Strong analytical and synthesis skills, with a high level of organization and rigor.
- Excellent interpersonal and pedagogical skills for collaboration with diverse stakeholders.
- Keen interest in data technologies and BI tools.
- Proficiency in Excel and data visualization tools such as Power BI.
Previous experience in data, BI, or project management through internships or work placements is advantageous.
Currently enrolled in an engineering school, business school, or university with a specialization in Data Management, Big Data, or Information Systems.
Join a dynamic team and engage in strategic projects at the heart of the company's data transformation.
Hermès is committed to ethical practices, diversity, and inclusion, offering a human-centric adventure for its employees.


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