Indeed
Taxonomy Analyst (French Speaker)
Vaga remota de Data Analyst com fit claro de localização do candidato.
Publicada8 de jul. de 2026
Países elegíveis9 países aceitos
Sinal de senioridadeLead, Middle
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Resumo da vaga
Taxonomy Analyst (French Speaker)
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
About the role
We are looking for a Taxonomy Analyst with French fluency to review, annotate, and classify high-volume job and resume datasets according to strict taxonomy guidelines for an HR tech platform serving France, Belgium, and Switzerland. You will standardize job titles, map occupations, validate metadata, and perform systematic data cleanup while ensuring cultural, linguistic, and regional relevance across French-speaking European markets. The role requires outstanding attention to detail, sharp pattern recognition, and deep knowledge of local job market nuances.
What you will do
- Review, annotate, and classify high-volume datasets (job descriptions, resumes, and candidate profiles) aligning with established taxonomy guidelines;
- Support taxonomy operations by standardizing job titles, mapping occupations, and validating complex metadata to ensure consistent and accurate system outputs;
- Identify linguistic or structural data patterns;
- Perform systematic data cleanup;
- Handle validation tasks on large-scale datasets;
- Cross-reference and validate French content, ensuring regional relevance across France, Belgium, and Switzerland;
- Handle regional terminology and local job market nuances;
- Communicate data insights;
- Track edge cases;
- Provide written feedback on guidelines in English via Slack and team syncs.
Must haves
- +3 years of proven experience in taxonomy, metadata management, content classification, data validation, or data labeling/annotation;
- Native-level fluency in French;
- Strong professional communication skills in English (written and spoken) for daily team collaboration and data feedback;
- Outstanding attention to detail, sharp pattern recognition skills, and the ability to exercise sound judgment when handling ambiguous data points;
- Extensive experience reviewing and navigating high-volume, complex datasets.
Nice to haves
- Deep market knowledge of the professional, corporate, and recruitment landscapes in France, Belgium, and/or Switzerland;
- Specialized background or knowledge in HR / job taxonomy (occupational mapping, labor market frameworks like ROME or ESCO);
- Proficiency with Excel, Google Sheets, or basic SQL queries;
- Hands-on experience working with LLMs / AI tools (e.g., ChatGPT, Gemini, Claude) for data curation, model evaluation, or prompt validation.
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