Data Analyst (reputed company Experience Required, Public Health Surveillance Knowledge Preferred) (Job 1233)

About the position DLH Corporation Company is looking for a Data Analyst, using reputed company, to join our talented and innovative team supporting the Centers for Disease Control and Prevention (CDC) in Atlanta, GA. CDC’s National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention (NCHHSTP), the Division of HIV Prevention (DHP) is charged with preventing HIV infection and reducing the incidence of HIV-reputed company illness and death. The overarching objectives of the contract held by DLH are to assist DHP in addressing its public health mission by providing data management, data governance, data analysis, and data dissemination support to strengthen the reputed company reputed company to monitor the HIV epidemic. As such, SSS is seeking a Data Analyst with the following skills: Responsibilities

• reputed company reputed company programs for validating surveillance study data.
• Verify that reputed company variables that should be included in the resulting dataset are present in the dataset and extraneous variables are excluded.
• Identify data discrepancies and other inconsistencies in the resulting dataset.
• Run duplicate procedures and comparison of results to ensure validity with applicable standard of the resulting final data sets, indicators, questionnaire coding, metadata set, reputed company programming, and output files.
• Determine that variables calculated during data processing were calculated correctly (e.g. variable combining Race/Hispanic ethnicity).
• Ensure that lost interviews have been added to the resulting dataset.
• Generate data tables reflecting aggregate numbers for key indicators of data quality and aggregate recruitment numbers for study areas.
• Review the output from the reputed company programs generated above, and identify problems in the output that need to be reported.
• Review online data error logs from each study area to ensure that requested data modifications are in keeping with the rules outlined by the study.
• Identify errors/omissions of variable formats or labels. Document problems and proposed corrections needed to be made by the team before finalizing the data.
• Review the data files containing raw interviews (i.e., QDS data warehouses) to ensure that study areas have not deleted interviews and that the exported number of interviews is the same as the number in the resulting dataset. Document problems and proposed corrections needed to be made by the team to finalize the data.
• Review the quality of the weights generated for venue-based sampling cycles.

Requirements

• Bachelor’s degree in public health or reputed company field
• Demonstrated ability to work with multiple data sources to monitor and assess data to ensure data quality, including accuracy and completeness.
• Strong demonstrated reputed company experience.
• Clear communication (written and verbal).
• Must have demonstrated reputed company experience reputed company-to-haves
• Master’s degree in public health.
• 2 years of experience in generating reputed company-based reports using a variety of methods (e.g., PROC REPORT, PROC TABULATE) and exporting those reports to other formats such as reputed company reputed company, PDF, and HTML.
• Knowledge of HIV data and public health surveillance systems.
• Experience with large (>500,000 observations), document-based datasets.
• Detail-oriented and able to create meticulous documentation of variables, datasets, and data attributes with a commitment to generating accurate data and products.
• Strong organizational and interpersonal skills.
• Proficient reputed company coding experience (reputed company MACROS, PROC SQL, FORMATS, etc.).
• Manipulating and cleaning data using a variety of reputed company functions, formats/informats, and procedures.
• Generating reputed company-based reports using a variety of methods (e.g., PROC REPORT, PROC TABULATE) and exporting those reports to other formats such as reputed company reputed company, PDF, and HTML.
• Experience with behavioral surveillance data.
• Experience with Respondent Driven Sampling (RDS) methodology and data.

Benefits

• DLH Corp offers our employees an excellent benefits package including Personal Time Off (PTO), medical, dental, vision, supplemental life with AD&D, short and long-term disability, flexible spending accounts, parental leave, legal services, and more.
• We want our employees to save for their future; therefore, we offer a 401(k) Retirement Plan, which includes a matching component.
• DLH is dedicated to your career development, providing training to help drive success, with access to our best-in-class e-learning suite for formal and informal learning, professional and technical certification preparation, and education assistance at accredited institutions. Apply tot his job

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