Data Analyst 2, Central Office
Indexed description
- Developing and maintaining information and data reports that are necessary to evaluate managed care organizations’ performance.
- Contributing to the development of programs and policies using data analysis (including analysis of Medicaid fee-for-service and encounter data, Health Home data, Provider Network data and other data).
- Respond to ad hoc data analysis requests and provide results or solutions within required timeframes.
- Using plans submitted data and State provider database to monitor children provider network adequacy and access to behavioral health services.
- Contribution to the design of Managed Care Organization’s reporting template and data analysis process.
- Collaborating with internal and external data users to identify data needs and provide analytical insights.
- Develop, maintain, and support other data-related processes
- Prepare, interpret and present data-driven results to non-data audiences, including Board of Directors at OMH, decision-making leadership of healthcare providers and Managed Care Organizations.
- Generate narrative reports, charts and table visualizations for presentations using data visualization software.
- An associate’s degree may substitute for two years of general experience;
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.
- Your degree must have been awarded by a college or university accredited by a regional, national, or specialized agency recognized as an accrediting agency by the U.S. Department of Education/U.S. Secretary of Education. If your degree was awarded by an educational institution outside the United States or its territories, you must provide independent verification of equivalency. This information can be found at http://www.cs.ny.gov/jobseeker/degrees.cfm. Candidates are responsible for the evaluation fee.
Experience with the following
- analyzing large, complex, multi-dimensional datasets using a variety of tools;
- statistical software (e.g., SAS, R), data analytic programming and database languages (e.g., SQL, PL/SQL);
- research, development, and support of data visualization techniques;
- BI tools such as Tableau, PowerBI
- solving analytical problems using statistical approaches;
Specific scheduled hours and telecommuting availability for this position will be discussed during the interview process. Please note, employees are required to apply and obtain approval through management to telecommute according to operational needs and Agency Telecommuting Program Guidelines.
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