Taxonomy Analyst (Swedish fluency)
Remote Data Analyst role with clear candidate location fit.
Taxonomy Analyst (Swedish fluency)
Requirements and responsibilities
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About the role
We are looking for a Taxonomy Analyst with Swedish fluency to review, annotate, and classify high-volume job and resume datasets according to strict taxonomy guidelines for an HR tech platform. You will standardize job titles, map occupations, validate metadata, and perform data quality checks while adapting content for cultural and linguistic relevance across the Swedish market. The role requires exceptional pattern recognition, deep knowledge of Swedenโs professional landscape, and sound independent judgment on ambiguous data points.
What you will do
- Review, annotate, and classify high-volume datasets (job descriptions, resumes, and candidate profiles) according to strict taxonomy guidelines;
- Support taxonomy operations by standardizing job titles, mapping occupations, and validating metadata to ensure consistent and accurate outputs;
- Perform regular data quality checks, identify language/data patterns, and clean up unstructured data;
- Adapt and validate multilingual content, ensuring cultural, linguistic, and market relevance for Sweden;
- Strictly follow established labeling guidelines while exercising sound, independent judgment when dealing with ambiguous data.
Must haves
- Native-level fluency in Swedish is mandatory;
- Strong professional communication skills in English (written and spoken) for daily syncs, Slack, and written data feedback;
- +3 years of proven experience in taxonomy, metadata management, content classification, data validation, or data labeling/annotation;
- Strong analytical skills, exceptional attention to detail, and sharp pattern recognition abilities;
- Proven experience reviewing and processing high-volume datasets.
Nice to haves
- Deep market knowledge of the Swedish job market, recruitment structures, or local occupational mapping;
- Background or knowledge in HR / job taxonomy;
- 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, prompting, or evaluation.
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