Specifications include, but are not limited to: Data management and analysis of the Behavioral Risk Factor Surveillance System (BRFSS); Behavioral Risk Factor Surveillance System (BRFSS) Data Collection Requirements Ensure BRFSS data received from the Department is clean and standardized by performing validation of data entry and error checking. Ensure clean and standardized data is added to the existing BRFSS multi-year Data Set. Ensure the BRFSS Data Dictionary is continually updated and includes any new variables and weights related to the BRFSS data. Ensure the Federal CDC BRFSS data file received from the Department is prepared for comparison to Maine Data Sets. Assemble the Federal CDC BRFSS analytic files for analysis comparing Maine Data Sets to other states and the nation as a whole according to the timelines required by Federal CDC and submit to the Department. Modify and update the Maine BRFSS’s Web Query data tables, questions and specifications as needed using Statistical Analysis System (SAS) and Tableau software . Produce clean monthly data files for submission to Maine CDC according to the Federal CDC BRFSS specifications. Perform ad hoc analyses by constructing analytic files and producing reports on all BRFSS data including but not limited to BRFSS data received from 2000 to present, as requested by the Department. Provide technical and statistical assistance to the Department in developing SAS code and other data analysis, including multivariate and trend analyses to help the Department better understand prevalence, risk factors, and disease management for health behaviors and conditions that impose a heavy burden on the residents of Maine and its health care system. Perform quality testing and revisions as necessary after annual Data Sets are complete. Immediately notify the Department when a systematic error is discovered. Correct the error within two (2) weeks at no cost to the Department. Provide documented evidence of the error correction to the Department within one (1) business day of correction. Ensure data analysis is not released with insufficient cell sizes to ensure statistical reliability and confidentiality (e.g., where numerator is less than five (5); denominator is less than fifty (50); or confidence interval is more than twenty (20) points wide).