- Research Analyst II
- What will I be doing?
- Do I qualify?
- Can I be successful?
- How do I apply?
This is mid-level technical and professional work involving research, analysis, evaluation, and reporting of statistical data.
Analyzes sociological, economic, demographic, health and vital statistics, and/or other types of data; assists in selecting methods and techniques to be used in the presentation and interpretation of research findings.
Prepares analyses and descriptive texts indicating trends and statistical evaluations of their significance; prepares data, charts, and narrative for publications.
Develops and revises reporting forms and procedures for the compilation of moderately complex statistical data.
Provides public and private agencies with technical assistance and advice in the gathering and assembly of statistical material.
Visits providers and users of information for purposes of public relations, validation, quality improvement, and the solution of problems.
Coordinates the development of information with the information technology section; monitors computer output for quality.
Conducts special research studies requiring the application of moderately complex statistical methods to a variety of social and economic data, vital and other health statistics, agency activity reports, etc.
Provides technical guidance or supervision to technical and clerical personnel in the collection, analysis, and presentation of statistical material.
Programs statistical applications using micro or mainframe statistical software.
Exercises judgment in data analysis and trend deviations; receives general administrative direction; work is reviewed for validity and quality.
Performs other related work as assigned.
(The following minimum qualifications will determine merit system eligibility. Allowable experience and education substitutions are provided in italics below the corresponding minimum qualification statement; no other substitutions will be permitted. These minimum qualifications may also be used to evaluate applicants for Missouri Uniform Classification and Pay System positions not requiring selection from merit registers.)
One or more years of experience as a Research Analyst I with the Missouri Uniform Classification and Pay System.
A Bachelor's degree from an accredited college or university with a minimum of 15 earned credit hours in one or a combination of the following: Public or Business Administration, Mathematics, Economics, Sociology, Education, Psychology, Computer Science or a closely related field, including at least six earned credit hours in quantitative research methods or statistics; and,
One or more years of professional experience in the analysis and reporting of statistical data.
(24 or more earned graduate credit hours from an accredited college or university in the specified areas including statistics or quantitative research methodology, may substitute for the required experience.)
(Technical and professional experience in the field of statistical analysis and research may substitute on a year-for-year basis for the required education.)
Please note that documentation that supports your eligibility (i.e. transcripts, employment records, etc.) may be required at any time during the application and hiring process. If you do not possess the minimum qualifications, please consider one of many other employment opportunities with the State of Missouri.
Do you possess the key skills which are considered essential for successful employment in this classification?
Intermediate knowledge of mathematical and complex statistical methods and their application to the analysis and evaluation of health, social, and economic data.
Intermediate knowledge of the use of graphic presentations.
Intermediate knowledge of research techniques and sources and availability of information.
Intermediate knowledge of the use and capabilities of statistical software packages.
Introductory knowledge of programming utilized in conjunction with a variety of statistical computer packages.
Ability to supervise or oversee a small staff of employees in clerical and technical activities.
Ability to analyze moderately complex statistical data and to present conclusions clearly in written and graphic form.
Ability to establish and maintain effective working relationships with other employees, outside agency personnel, and the general public.
Ability to program micro or mainframe statistical packages.
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