- Analyze and interpret statistical data to identify significant differences in relationships among sources of information. – Stats testing
- Identify relationships and trends in data, as well as any factors that could affect the results of research. – Drivers analysis, path analysis, etc.
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest. – Determine which stats to use to report what, e.g. mean/median/SD/drivers analysis/PATH/factor analysis; analytics planning
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data. – Data cleaning; data weighting; tab spec; tab creation
- Present statistical and nonstatistical results, using charts, bullets, and graphs, in meetings or conferences to audiences such as clients, peers, and students. -Client & internal presentation
- Report results of statistical analyses, including information in the form of graphs, charts, and tables. – Quantitative deliverables
- Design research projects that apply valid scientific techniques, and use information obtained from baselines or historical data to structure uncompromised and efficient analyses. -Proposal consultation & creation
- Process large amounts of data for statistical modeling and graphic analysis, using computers. – SPSS
- Adapt statistical methods to solve specific problems in many fields, such as economics, biology, and engineering. – retail/automotive/biotech/IT etc.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy. – SPSS validation; data QA
- Plan data collection methods for specific projects and determine the types and sizes of sample groups to be used. – Sample planning; quota setting; proposal development
- Supervise and provide instructions for workers collecting and tabulating data. – Managing direct report, tab/banner specs creation; vendor management
- Apply sampling techniques, or use complete enumeration bases to determine and define groups to be surveyed – Define respondent screening criteria and quotas; data weighting; define sample composition