Engage in the development of mathematical theory or apply statistical theory and methods to collect, organize, interpret, and summarize numerical data to provide usable information. May specialize in fields, such as bio-statistics, agricultural statistics, business statistics, economic statistics, or other fields.

Other names for Statisticians: Actuary, Analytical Statistician, Applied Statistician, Bioinformatics Specialist, Biometrician, Biostatistician, Clinical Biostatistics Director, Clinical Data Coordinator, Clinical Statistics Manager, Data Manager, Database Analyst, Education Research Analyst, Environmental Statistician, Financial Analyst, Human Resource Statistician, Institutional Research Director, Mathematical Statistician, Program Research Specialist, Programmer, Research Analyst, Research Associate, Research Biostatistician, Sampling Expert, Sports Statistician, Statistical Analyst, Statistical Engineer, Statistical Reporting Analyst, Statistician, Survey Statistician, Technical Specialist, Time Study Statistician, Trend Investigator,

• Report results of statistical analyses, including information in the form of graphs, charts, and tables.
• Process large amounts of data for statistical modeling and graphic analysis, using computers.
• Identify relationships and trends in data, as well as any factors that could affect the results of research.
• Prepare data for processing by organizing information, checking for any inaccuracies, and adjusting and weighting the raw data.
• Evaluate the statistical methods and procedures used to obtain data in order to ensure validity, applicability, efficiency, and accuracy.
• Evaluate sources of information in order to determine any limitations in terms of reliability or usability.
• Plan data collection methods for specific projects, and determine the types and sizes of sample groups to be used.
• Design research projects that apply valid scientific techniques and utilize information obtained from baselines or historical data in order to structure uncompromised and efficient analyses.
• Develop an understanding of fields to which statistical methods are to be applied in order to determine whether methods and results are appropriate.
• Supervise and provide instructions for workers collecting and tabulating data.
• Apply sampling techniques or utilize complete enumeration bases in order to determine and define groups to be surveyed.
• Adapt statistical methods in order to solve specific problems in many fields, such as economics, biology and engineering.
• Develop and test experimental designs, sampling techniques, and analytical methods.
• Examine theories, such as those of probability and inference in order to discover mathematical bases for new or improved methods of obtaining and evaluating numerical data.
• Analyze and interpret statistical data in order to identify significant differences in relationships among sources of information.

• Desktop computers
• Notebook computers
• Personal computers

Office suite software

Word processing software

Presentation software

Spreadsheet software

Data base user interface and query software

Data mining software

Object oriented data base management software

Development environment software

Object or component oriented development software

Analytical or scientific software

Operating system software