Data Analyst 2, SG-23 - DIGIT/RAISE

Financial Services, Department of; New York (NY); On-site; USD 70,000 - 120,000; Full time

Job summary

The New York State Department of Financial Services seeks a Data Analyst 2 to produce business intelligence solutions from RAISE Act submissions, identify data patterns and trends, and support internal and external reporting. The role involves querying frontier AI data, developing analytical tools, and creating reports to communicate findings.

You will work with structured and semi-structured filings (PDF, CSV, JSON), applying foundational SQL, Excel skills, and some Python or R to modify

Qualifications

• Seven years of experience in data visualization, statistical models, and data mining tools (or substitutable education).
• Foundational SQL skills (SELECT, JOIN, GROUP BY, basic aggregation).
• Excel proficiency (formulas, pivot tables, conditional formatting).
• Some exposure to Python or R sufficient to run and modify existing scripts.
• Familiarity with frontier AI concepts such as training compute thresholds and capability evaluations.

Responsibilities

• Produce business intelligence solutions from RAISE Act submissions and communicate findings.
• Identify data patterns and trends to inform internal and external reporting.
• Query frontier AI data and develop analytical tools to support reporting.

Skills

Data visualization

Statistical models

Data mining tools

Tools

SQL

Excel

Python/R

Job description

The New York State Department of Financial Services seeks a Data Analyst 2 for the Office of Responsible Artificial Intelligence Safety Education (RAISE) to produce business intelligence solutions from RAISE Act submissions, identify data patterns and trends, and support internal and external reporting. The role involves querying frontier AI data, developing analytical tools, and creating reports to communicate findings.

Key qualifications:

• Seven years of experience in data visualization, statistical models, and data mining tools (or substitutable education)
• Foundational SQL skills (SELECT, JOIN, GROUP BY, basic aggregation)
• Excel proficiency (formulas, pivot tables, conditional formatting)
• Some exposure to Python or R sufficient to run and modify existing scripts
• Familiarity with frontier AI concepts such as training compute thresholds and capability evaluations
• Comfortable working with structured and semi-structured filings (PDF, CSV, JSON)