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  • Title: Data Analyst 2
  • Location: Albany, NY
  • Schedule: Monday-Friday
  • Work hours: 8:30am-4:30pm
  • Salary: $86,773-$108,413
  • Apply by: 11/21/2025

This is not a remote position. It is a full time, on site position in Albany, NY.

Minimum qualifications

 

You must meet one of the following:

 

  • Seven years of experience in data visualization, and statistical models and data mining tools; or
  • Associate’s degree and five years of experience in data visualization, and statistical models and data mining tools; or
  • Bachelor’s degree and three years of experience in data visualization, and statistical models and data mining tools; or
  • Master’s degree in computer science, informatics, economics, statistics, mathematics, or related field and two years of experience in data visualization, and statistical models and data mining tools; or
  • Ph. D. in computer science, informatics, economics, statistics, mathematics, or related field and one year of experience in data visualization, and statistical models and data mining tools

All candidates must be eligible for employment in the United States and maintain this eligibility throughout their employment with NYS. Employment is contingent upon the provision of proof of the right to accept employment in the United States.

Job Duties

 

The Data Analyst 2 will work in the Office of Data Analytics (ODA) under the direction of a supervisor or manager to build business solutions, produce forecasts, and answer questions across all areas of the Department of Taxation and Finance. Examples of projects include fraud detection, revenue forecasting at the micro and macro level, and analysis of program performance.

Duties may include, but are not limited to:

• Guide and develop the creation of data assets to support the needs of the Department.
• Design and execute analyses to answer questions using a variety of approaches (tabulations, visualizations, supervised and unsupervised learning, predictive and retrospective analysis, statistics, machine learning, etc.)
• Supervise junior staff members; train and develop them to ensure they acquire the necessary skills to be successful; assign and review the programming and statistical work of others.
• Interpret and draw conclusions from analyses; deliver findings to clients along with potential extensions.
• Write clear and concise results summaries for policy, business, and technical audiences.
• Coordinate a portfolio of projects; estimate time requirements, and work with management to set priorities.
• Develop the skills of the office in new and advanced areas.
• Lead the systems management, data management, and testing of systems used for analysis; develop scripts and data pipelines to automate these tasks.
• Comply with Office of Human Resource Management, Affirmative Action, Code of Conduct, Ethics, and Internal Control policies and procedures.
• Adhere to the Department's time and attendance rules and regulations.