We protect and promote the health of New Yorkers by preventing and reducing the threats to public health and assuring access to affordable, high-quality health services.

Duties Description

Produces business intelligence solutions by querying data repositories and generating periodic reports; devises methods for identifying data patterns and trends in data sources; assesses data structures and how they can be used to produce desired reports; researches new data sources and analytical tools, and recommends solutions; conducts or coordinates tests to ensure that business intelligence solutions are consistent with defined needs; tests, validates, and reformulates models to ensure accurate prediction of outcomes of interest; drafts new functions or applications in programming languages to conduct analyses; creates written reports and effectively communicates/presents results; and may supervise lower level staff.

Additional Comments

• Leading a team of data analysts, project managers and business analysts in developing program level dashboards and visualizations for the Office of Health Insurance Programs
• Coordinating with the Bureau Director and Engagement Leads to prioritize Program and OHIP leadership needs for real time data visualizations
• Managing delivery methods for standardized reports, including determining access, scheduling updates; recommending delivery methods updates; and troubleshooting problems.
• Supervising and developing Business and Data Analyst staff and contract resources to ensure ongoing high-quality performance.

Coordinating Tableau efforts, predictive modeling solutions and written reports

• Working closely with other divisions and vendors as it relates to enhancing OHIP’s analytics and visualization capabilities
• Enhancing tableau and predictive modeling capabilities

Non-competitive: one year of permanent service as a Data Analyst 1 OR bachelor’s degree in data or computer science, informatics, economics, statistics, mathematics, or a related field, and three years of experience* in data visualization, and statistical models and data mining tools.

• Substitution: A master’s degree in the above fields 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.

Preferred Qualifications: Experience in Insurance, Medicaid preferred, 1 year of SQL experience working with large datasets preferred, 2 years of supervising experience.