• Academics

Statisticians

15-2041.00

Median wages

$58,430

Develop or apply mathematical or 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, or economic statistics. Includes mathematical and survey statisticians.
  • Identify relationships and trends in data, as well as any factors that could affect the results of research.
  • Report results of statistical analyses, including information in the form of graphs, charts, and tables.
  • Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
  • Adapt statistical methods to solve specific problems in many fields, such as economics, biology, and engineering.
  • Develop software applications or programming to use for statistical modeling and graphic analysis.
  • Develop and test experimental designs, sampling techniques, and analytical methods.
  • Prepare data for processing by organizing information, checking for any inaccuracies, and adjusting and weighting the raw data.
  • Plan data collection methods for specific projects and determine the types and sizes of sample groups to be used.
  • Process large amounts of data for statistical modeling and graphic analysis, using computers.
  • Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
  • Design research projects that apply valid scientific techniques and use information obtained from baselines or historical data to structure uncompromised and efficient analyses.
  • Present statistical and nonstatistical results using charts, bullets, and graphs in meetings or conferences to audiences such as clients, peers, and students.
  • Develop an understanding of fields to which statistical methods are to be applied to determine whether methods and results are appropriate.
  • Supervise and provide instructions for workers collecting and tabulating data.
  • Evaluate sources of information to determine any limitations in terms of reliability or usability.
  • Apply sampling techniques or use complete enumeration bases to determine and define groups to be surveyed.
  • Examine theories, such as those of probability and inference, to discover mathematical bases for new or improved methods of obtaining and evaluating numerical data.
  • Report results of statistical analyses in peer-reviewed papers and technical manuals.
  • Analytical or scientific software — Aptech Systems GAUSS; SAS ; The MathWorks MATLAB  ; XLISP-STAT (see all 35 examples)
  • Business intelligence and data analysis software — Tableau
  • Data base management system software — Apache Hadoop  ; Apache Pig  ; Teradata Database 
  • Data base user interface and query software — IBM DB2; Microsoft Access  ; Structured query language SQL 
  • Data mining software — Angoss KnowledgeSEEKER; NCR Teradata Warehouse Miner; SAS Enterprise Miner
  • Development environment software — Common business oriented language COBOL  ; Formula translation/translator FORTRAN; Microsoft Visual Basic 
  • Enterprise application integration software — SAS/CONNECT
  • Enterprise resource planning ERP software  — SAP 
  • Object or component oriented development software — C++  ; Python  ; R  ; Sybase PowerBuilder (see all 5 examples)
  • Object oriented data base management software — Microsoft Visual FoxPro
  • Office suite software — Microsoft Office
  • Operating system software — Linux ; UNIX 
  • Presentation software — Microsoft PowerPoint 
  • Spreadsheet software — Microsoft Excel 
  • Word processing software — Microsoft Word
  • Mathematics — Using mathematics to solve problems.
  • Critical Thinking — Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems.
  • Reading Comprehension — Understanding written sentences and paragraphs in work related documents.
  • Active Listening — Giving full attention to what other people are saying, taking time to understand the points being made, asking questions as appropriate, and not interrupting at inappropriate times.
  • Active Learning — Understanding the implications of new information for both current and future problem-solving and decision-making.
  • Complex Problem Solving — Identifying complex problems and reviewing related information to develop and evaluate options and implement solutions.
  • Judgment and Decision Making — Considering the relative costs and benefits of potential actions to choose the most appropriate one.
  • Science — Using scientific rules and methods to solve problems.
  • Speaking — Talking to others to convey information effectively.
  • Programming — Writing computer programs for various purposes.
  • Writing — Communicating effectively in writing as appropriate for the needs of the audience.
  • Systems Analysis — Determining how a system should work and how changes in conditions, operations, and the environment will affect outcomes.
  • Learning Strategies — Selecting and using training/instructional methods and procedures appropriate for the situation when learning or teaching new things.
  • Monitoring — Monitoring/Assessing performance of yourself, other individuals, or organizations to make improvements or take corrective action.
  • Systems Evaluation — Identifying measures or indicators of system performance and the actions needed to improve or correct performance, relative to the goals of the system.
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