Public Health Job Opportunities

Statistical Analyst II

Other responsibilities include helping outline project goals, steps, and deliverables in order to effectively plan, implement, and complete projects within deadlines. It is important that the Statistical Analyst II be able to work well as a supporting member of a team as well as independently. It is expected that the Statistical Analyst II values and strives to offer accurate, complete, and reliable statistical outcomes and interpretation of results. Periodically, tasks are assigned in order to fulfill legislative, state and federal grant reporting requirements or to make recommendations for process improvements. The data and quality improvement team supports the Division of Medicaid and Long Term Care and other entities to make data informed decisions which help people live better lives. 

Job location is the Nebraska State Office Building, Downtown.

Hours: 8-5, Monday – Friday.

Examples of Work

Under general supervision, analyzes, interprets, and prepares reports of Medicaid statistical data through the application of statistical methodologies; contributes to data interpretation, data mapping, and design of methodologies for studies as expertise allows. Other duties as assigned. Participate on a team in a service driven culture to provide accurate, timely, actionable data. Conduct statistical analysis on Medicaid claims and eligibility data, assimilate multiple data sources into usable analyses for DHHS leadership and stakeholders. Contribute to presentations in a multitude of formats for audiences including agency staff, health industry executives, and public consumers using established mathematical methods and innovative mediums. Collaborate on joint projects with other divisions’ analytics teams to serve the State’s most vulnerable populations though informed decision making and service provider accountability. Contribute to Division, State, and Federal reports according to specifications to appropriate reporting authorities. 

REQUIREMENTS:  Bachelor’s degree in statistics, mathematics, economic/social science research methods, inferential/inductive statistical analysis, or other related field of quantitative analysis OR Experience applying statistical methods and techniques to program, project, administrative, or demographic data can be substituted for the required education on a year for year basis.

Knowledge of: the principles and procedures of random sampling and probability; the methods and techniques of statistical analysis; resource material concerning statistical data collection methods; employing agency policies, rules, and procedures pertinent to the collection and analysis of statistical data; State and federal laws, policies, and standards governing the programs/projects of the employing agency; the functions of public jurisdictions, business firms, or private organizations effected by the employing agency’s mission; the kinds and sources of statistical data pertinent to the employing agency’s programs/projects and activities; the demographic characteristics, such as economic, social, industrial, or occupational, of those affected or served by the employing agency; manual and automated methods and protocols for data collection, processing and analysis including personal computers, mainframe terminals, and packaged applications software. Ability to: communicate in person, by telephone, email, and correspondence, with others to exchange factual information and research analyses, findings, and conclusions; construct tabular and illustrative material such as tables and charts; calculate probabilities; use the capabilities and features of programmable calculators, computers and associated applications software such as word processing, spreadsheets, and databases; set personal and work group priorities and work schedules; interpret and apply State and federal laws and standards, and employing agency rules, policies, and procedures; understand and apply technical narrative material including manuals, handbooks, instructional memoranda, and computer printouts; summarize program/project and administrative data into technical reports; apply statistical methods and techniques to the analysis and interpretation of data; implement statistical studies or evaluation surveys within organizational constraints and available resources. 

View the job description and apply online here.