DLH Corporation · 4 hours ago

Data Analyst (SAS)

United States - Remote

Full-time

Remote

Entry Level

$60K/yr - $65K/yr

2+ years exp

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Responsibilities

Developing analytic programs (using SAS code) to support the National Data Processing (NDP) of HIV surveillance data, including sensitivity analyses, dataset certification analyses, and ad hoc development of solutions for data related

Developing analytic programs (using SAS code) to support data quality checks of the HIV surveillance laboratory data.

Providing technical assistance and support in creating data visualization

Providing technical assistance and support for HS data management

Providing ongoing statistical and data support for reports, presentations, materials, and scientific

Automating data management and analytical processes using dynamic variables with iteratively reusable coding and provide advanced SAS expertise, including proficient use of the following procedures: FREQ, REPORT, GLM, LOGISITIC, REQ, SQL, MEANS, TABULATE, SUMMARY, FORMAT, GPLOT, ODS, GRAPH, ACCESS, BASE, STAT, and

Developing SAS programs using SAS ODS code to create outputs in specified file

Documenting procedures used to accomplish all above-described support

Qualification

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SASPublic HealthStatisticsData ManagementData AnalysisData QualityData VisualizationTechnical AssistanceExcelPDFHTMLDocumentation

Required

Bachelor’s degree in public health, statistics, or related field.

2 years of experience working with SAS.

Demonstrated ability to work with multiple data sources to monitor and assess data to ensure data quality, including accuracy and completeness.

Strong SAS experience.

Clear communication (written and verbal).

Preferred

Master’s degree in public health, statistics, or related field.

2 years of experience in generating SAS-based reports using a variety of methods (e.g., PROC REPORT, PROC TABULATE) and exporting those reports to other formats such as Microsoft Excel, PDF, and HTML.

Experience with large (>500,000 observations), documents-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.