NE DHHS is seeking a Statistical Analyst to help lead a small research team in a mission-driven culture for the purposes of planning, collecting, analyzing, interpreting data and information sharing. Provide assignment oversight to data team members, manage databases and perform statistical analysis according to specifications that meet Federal, State and Division requirements; conduct data analysis; organize statistical findings into formats that will facilitate comprehension to others of significance of data to make system improvement recommendations; prepare periodic reports, summaries, projections, etc. to meet ongoing program or fiscal analysis needs; devise or modify questionnaires, sampling procedures, and other manual and/or electronic formats used for gathering and tabulating data to facilitate analysis and presentation; interact with the Division of Behavioral Health system partners regarding data and statistical analysis; prioritize requests and use Management Team recommendations to prepare and present analysis of Division of Behavioral Health data reports.
REQUIREMENTS: Bachelor’s degree in statistics, mathematics, economic/social science research methods, or a related field of quantitative analysis and two years experience in research and evaluation involving the application of statistical methods and techniques to program, administrative, survey, or demographic data; additional experience in this work can be substituted for the required education on a year for year basis. OR Post Bachelor’s degree in statistics, mathematics, economic/social science research methods, or a related field of quantitative analysis.
PREFERRED: Master’s degree or higher in statistics, mathematics, economic/social science research methods, survey research and methodology, inferential/inductive statistical analysis, or other related field with quantitative analysis; Knowledge and proficiency with multiple database formats, ability to organize and prioritize work to meet deadlines, ability to communicate data reports to a variety of audiences, experience within a behavioral health program, and experience with project and staff management.
KSA: Knowledge of: the principles and procedures of random sampling and probability; survey design and methodology; the methods and techniques of statistical analysis including understanding of meta-analysis and prevalence studies; resource material concerning statistical data collection methods; policies, rules, and procedures pertinent to the collection and analysis of statistical data; State and Federal laws, policies, and standards governing the programs/projects related to behavioral health; the kinds and sources of statistical data pertinent to the behavioral health system; the demographic characteristic, such as economic, social, industrial, or occupational, of those affected or served within the behavioral health system; manual and automated methods and protocols for data collection, processing and analysis including personal computers, mainframe terminals, and packaged applications software. Knowledge and proficiency in SPSS and/or SAS in addition to Microsoft Office. 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 materials 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 Department of Health and Human Services rules, policies, and procedures; understand and apply technical narrative material including manuals, handbooks, instructional memoranda, data dictionaries and computer printouts; summarize program/project and administrative data into technical reports and presentations; apply survey and statistical methods and techniques for analysis and interpretation of data; implement statistical studies or evaluation surveys within organizational constraints and available resources.
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