Data Analyst 2 (Actuarial)

$87,556 - $109,854/Yr

Insurance Fund - New York, NY

Full-time - Mid Level

Remote - New York, NY

Insurance Carriers and Related Activities

About the position

The Data Analyst 2 (Actuarial) position at the New York State Insurance Fund involves working within the Research & Analytics team to support various departments with their analytic needs. The role requires a strong commitment to high-quality analysis, flexibility in learning new tools, and the ability to communicate results effectively. The successful candidate will be responsible for developing predictive models, conducting data analysis, and collaborating with other teams to produce business intelligence solutions.

Responsibilities

• Collaborate with other departments in support of their analytic needs and create written reports and effectively communicate results.
• Produce business intelligence solutions by performing data extraction with tools such as Spotfire, SQL & R.
• Develop new predictive models for specific business needs and maintain or enhance predictive models currently in use.
• Devise methods for identifying data patterns, trend identification and root cause analysis.
• Provide input on current approaches and recommend improvements.
• Assess data structures and how they can be used to produce desired reports.
• Research new data sources and analytical tools and recommend solutions.
• Conduct or coordinate tests to ensure that business intelligence solutions are consistent with 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 the organization and the prioritization of data requests.
• Be proficient in all the 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 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 the specialized experience.
• A Ph.D. in the above fields may substitute for two years of the 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

• Dental insurance
• Flextime
• Health insurance
• Opportunities for advancement
• Paid holidays
• Vision insurance