Taxonomy Analyst in Brazil, Indiana at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Taxonomy Analyst based in Brazil.

This role offers the opportunity to contribute to the improvement and accuracy of global employment data through advanced taxonomy operations.
As a Taxonomy Analyst, you will transform complex, unstructured career information into organized, reliable, and localized datasets.
You will play a key role in improving data classification models, ensuring job listings and resumes are accurately categorized and optimized.
The position combines analytical thinking, attention to detail, and language expertise within a collaborative international environment.
You will work with high-volume datasets, applying structured frameworks to enhance data quality and consistency across global markets.
This remote opportunity is ideal for professionals passionate about data accuracy, localization, and the future of workforce technology.

As a Taxonomy Analyst, you will support daily taxonomy operations by classifying, validating, and improving employment-related data. You will contribute to the quality and scalability of data systems by applying strong analytical skills, localization knowledge, and attention to detail. Key responsibilities include:

• Labeling, annotating, and classifying complex job and resume data according to established taxonomy guidelines.
• Standardizing job titles and accurately mapping occupations across global employment datasets.
• Reviewing and validating metadata to ensure accuracy, consistency, and high-quality taxonomy outputs.
• Performing data cleanup and localization workflows tailored to different international markets.
• Evaluating high-volume datasets by identifying patterns, inconsistencies, and opportunities for improvement.
• Applying quality control processes to maintain reliable and scalable data classification standards.
• Collaborating with global teams to support continuous improvements in taxonomy processes and workflows.

The ideal candidate will have experience working with data classification, taxonomy, metadata management, or content organization, combined with strong analytical abilities and language proficiency. Success in this role requires attention to detail, structured thinking, and the ability to work effectively with large datasets. Required qualifications and skills include:

• Native-level fluency in English or Spanish, depending on the assigned operational track.
• Previous experience in data taxonomy, metadata management, content classification, or related fields.
• Hands-on experience with data labeling, annotation, validation, and reviewing high-volume datasets.
• Strong analytical skills with excellent attention to detail, pattern recognition abilities, and sound judgment when following established frameworks.
• Experience with localization workflows or multilingual content systems.
• Ability to work independently in a remote environment while collaborating effectively with international teams.
• Familiarity with HR systems, talent acquisition processes, or job taxonomy structures is a plus.
• Basic knowledge of SQL, advanced Excel, Google Sheets, or similar data manipulation tools is advantageous.
• Experience using AI and Large Language Model (LLM) tools such as ChatGPT, Gemini, or Claude for data classification or augmentation is a plus.
• Knowledge of global employment markets, particularly English-speaking regions, is preferred.
• Availability to align with Central Time (CT) working hours and participate in collaboration sessions during standard business hours.

The role provides the opportunity to work remotely on international projects while developing expertise in data operations, classification, and workforce technology. Benefits may include:

• Fully remote work arrangement from Brazil.
• Opportunity to collaborate with global teams and contribute to international data initiatives.
• Exposure to innovative data, AI, and taxonomy-related projects.
• Professional growth opportunities in a fast-evolving technology environment.
• Flexible remote work setup with collaboration across different regions.
• Experience working with large-scale employment data systems and global workflows.