Statisticians

• 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.
• Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
• Process large amounts of data for statistical modeling and graphic analysis, using computers.
• 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.

Source: O*NET OnLine information for Statisticians.

• 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.
• Speaking - Talking to others to convey information effectively.
• 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.
• Writing - Communicating effectively in writing as appropriate for the needs of the audience.

Source: O*NET OnLine information for Statisticians.