Data 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

Title

Data Analyst

Location

New York, NY or Salt Lake City, UT

About M Science

M Science is a data-driven research and analytics firm, uncovering new insights for leading financial institutions and corporations. We come to work every day to create actionable insights from alternative data. M Science is revolutionizing research, discovering new data sets and pioneering methodologies to provide actionable intelligence. Our research teams have decades of experience working with massive amounts of unstructured data in near real-time to discern critical insights that help clients make smarter, more informed decisions. We combine the best of finance, data and technology to create a truly unique value proposition for both financial services firms and major corporations.

Job Overview

We're looking for a detail-oriented Data Analyst who is passionate about structuring and enriching data through tagging and categorization; who thrives on turning unstructured information into well-organized, high-quality datasets; and who is committed to the continuous improvement of our data products. In this role, you will develop and maintain tagging taxonomies applied across large-scale datasets, ensuring accuracy and consistency that directly powers downstream analytics, research, and client-facing products. You will partner closely with data engineering, product, and research teams to refine tagging methodologies and drive data quality.

Specifically, you will establish tagging standards, perform quality analysis on tagged datasets, and collaborate with stakeholders to ensure tagged data meets the needs of analytics, reporting, and machine learning initiatives.

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

• Strong proficiency in SQL for querying, validating, and analyzing datasets
• Working knowledge of Python for data manipulation and analysis (pandas, etc.)
• Experience developing or working with classification taxonomies, tagging schemas, or labeling frameworks
• Excellent attention to detail with a strong commitment to data accuracy and consistency
• Strong analytical and problem-solving skills with the ability to identify patterns and anomalies in data
• Intellectual curiosity to understand the “why” behind the data
• Effective communication skills to articulate tagging methodologies, findings, and recommendations to both technical and non-technical stakeholders
• Ability to thrive in a culture of quality and personal accountability

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

Preferred Qualifications

• Experience working with alternative data, large datasets, or cloud data platforms (Snowflake, Databricks, AWS)
• Familiarity with statistical modeling, forecasting, or time-series analysis
• Familiarity with software development workflows (e.g., version control, code reviews)

Salary Range

Salary Range: $75,000-$100,000 USD/Annual

In addition to salary, M Science offers, for eligible employees, an annual discretionary incentive bonus, competitive employee benefits, including:

• Medical, dental & vision coverage
• 401(k)
• Life, accident, disability insurance
• Wellness programs
• Annual discretionary incentive bonus
• Paid time off packages that include planned time off (vacation), unplanned time off (sick leave), paid holidays and paid parental leave