Data Analyst 2 (Actuarial)

$87,556 - $109,854/Yr

State of New York - New York, NY

Full-time - Mid Level

Remote - New York, NY

Executive, Legislative, and Other General Government Support

About the position

The Data Analyst 2 (Actuarial) position at the New York State Insurance Fund involves working within the Actuarial Department as part of the Research & Analytics team. The role requires a strong commitment to high-quality analysis, flexibility in learning new tools, and collaboration with various departments to support their analytic needs. The successful candidate will be responsible for producing business intelligence solutions, developing predictive models, and conducting thorough data analyses to inform decision-making processes.

Responsibilities

• Collaborate with other departments to support their analytic needs and create written reports to communicate results effectively.
• Produce business intelligence solutions by performing data extraction using tools such as Spotfire, SQL, and R.
• Develop new predictive models for specific business needs and maintain or enhance existing predictive models.
• Devise methods for identifying data patterns, trend identification, and root cause analysis.
• Provide input on current approaches and recommend improvements.
• Assess data structures and their utility in producing desired reports.
• Research new data sources and analytical tools, recommending solutions as needed.
• Conduct or coordinate tests to ensure business intelligence solutions meet defined needs.
• Draft new functions or applications in programming languages to conduct analyses.
• Manage research projects and analyze data needed by Executive and NYSIF departments.
• Assist the Data Analyst 1 in organizing and prioritizing data requests.
• Be proficient in all duties and responsibilities of the Data Analyst 1.
• May supervise lower-level staff.

Requirements

• One year of permanent service as a Data Analyst 1 OR a bachelor's degree and three years of experience in data visualization, statistical models, and data mining tools.
• A master's degree in data or computer science, informatics, economics, statistics, mathematics, or a related field may substitute for one year of specialized experience.
• A Ph.D. in the above fields may substitute for two years of specialized experience.

Nice-to-haves

• Experience with advanced data analytics in the insurance industry.
• Advanced experience in Tableau or Power BI, and proficiency in SQL or Python.
• Experience in designing and implementing predictive models and algorithms.

Benefits

• Competitive Compensation
• Future Career Growth Potential
• Open and Supportive Team-Based Environment
• Plentiful Vacation, Personal, and Sick Leave Accruals
• Paid State and Federal Holidays
• Full Medical, Vision, and Dental
• Retirement Options
• Possibility of Telecommuting, Flextime, and Alternative Work Schedules