Data Tagging & Taxonomy Analyst

M Science; New York (NY); On-site; USD 75,000 - 100,000; Full time

Benefits offered by this job

Medical, dental & vision

401(k)

Life, accident, disability insurance

Wellness programs

Annual discretionary incentive bonus

Paid time off

Job summary

M Science is seeking a Data Analyst in New York or Salt Lake City to help structure and enrich data through tagging and categorization. You will develop tagging taxonomies and ensure high data quality, partnering with data engineering, product, and research teams to drive analytics and client-facing products.

You will establish tagging standards, perform quality checks, and translate evolving requirements into actionable specifications, while helping automate tagging processes and contributing

Qualifications

• 1–4 years of experience in a data analyst, data tagging, data categorization, or similar data quality role
• Bachelor's or higher degree, or significant experience in Statistics, Mathematics, Computer Science, Information Science, or a similar quantitative discipline

Responsibilities

• Develop, maintain, and improve tagging taxonomies and classification schemas used to categorize large-scale datasets
• Apply tags and labels to raw and semi-structured data, ensuring consistency, accuracy, and completeness
• Perform quality assurance reviews on tagged data to identify misclassifications, gaps, and anomalies
• Analyze tagging coverage and accuracy metrics, producing regular reports and recommendations for improvement
• Collaborate with data engineering teams to integrate tagging logic into automated pipelines and workflows
• Partner with research analysts and product managers to understand evolving tagging requirements and translate them into actionable specifications
• Document tagging guidelines, rules, and decision frameworks to ensure reproducibility and scalability
• Identify opportunities to automate or semi-automate tagging processes through rule-based or algorithmic approaches
• Contribute to cross-functional projects related to data quality, standardization, and enrichment
• Mentor team members on tagging best practices and provide/receive actionable feedback

Skills

SQL

Python

Taxonomies

Tagging schemas

Data quality

Analytics

Communication

Attention to detail

Problem solving

Education

Bachelor's degree

Statistics

Mathematics

Computer Science

Tools

Snowflake

Databricks

AWS

Job description

M Science is seeking a Data Analyst in New York or Salt Lake City to help structure and enrich data through tagging and categorization. You will develop tagging taxonomies and ensure high data quality, partnering with data engineering, product, and research teams to drive analytics and client-facing products.

You will establish tagging standards, perform quality checks, and translate evolving requirements into actionable specifications, while helping automate tagging processes and contributing