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Data Manager – SAS, Python
Peers & Partners. Provide data management, analysis, and technical assistance to state-funded jurisdictions working with hospital discharge data .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data management and analysis, particularly using SAS and Python for public health datasets. Capable of providing technical assistance and translating analytical findings into actionable insights for stakeholders.
Highest-signal resume keywords
SAS Data ManagementPython Data AnalysisPublic Health Data AnalyticsData Quality AssuranceTechnical Assistance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data CleaningStatistical AnalysisData ValidationData TransformationData DocumentationAnalytical MethodologiesData PipelinesData SpecificationsData DictionariesData Automation
Soft Skills
Problem-SolvingOrganizational SkillsWritten CommunicationCollaborationTechnical Communication
Tools & Technologies
SAS ViyaSAS Enterprise GuideSQLRData Dashboards
Industry Keywords
Public HealthEpidemiologyBiostatisticsHealth Data AnalyticsHealthcare Utilization Data
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Provide data management, analysis, and technical assistance to state-funded jurisdictions working with hospital discharge data
- Support receipt, processing, cleaning, validation, transformation, and analysis of large and complex public health datasets
- Use SAS and Python for data management, statistical analysis, data quality assessment, validation, and reporting
- Develop, modify, and maintain SAS programs, Python scripts, data pipelines, analytical processes, and documentation
- Conduct data quality checks and investigate missing, inconsistent, or anomalous data with jurisdictions
- Provide technical assistance on data submission requirements, data structures, coding, processing, analysis, and interpretation
- Troubleshoot data issues and provide practical recommendations to state and jurisdictional data partners
- Assist with data specifications, validation rules, data dictionaries, analytical methodologies, and standard operating procedures
- Analyze hospital discharge and related health data to identify trends, patterns, disparities, and other public-health findings
- Support development of tables, figures, reports, dashboards, presentations, and other data products
- Translate analytical findings into actionable information for project staff, jurisdictions, and federal stakeholders
- Participate in virtual meetings, technical assistance sessions, workgroups, and project discussions with state and federal partners
- Maintain documentation of analytical methods, data management procedures, decisions, and technical assistance
- Collaborate with epidemiologists, statisticians, data analysts, program staff, and other project team members
- Contribute to continuous improvement of data management and analytical processes
- Perform other data management and analytical activities as required
Requirements
What you’ll need- Bachelor’s degree in public health, epidemiology, statistics, biostatistics, data science, computer science, health informatics, or a related field; advanced degree preferred
- 3+ years of professional experience in public health data management, epidemiology, biostatistics, health data analytics, or a related field
- Strong hands-on experience using SAS for data management and statistical analysis
- Strong hands-on experience using Python for data manipulation, analysis, automation, or related data science activities
- Experience working with large, complex datasets and performing data cleaning, quality assurance, validation, and transformation
- Experience working with healthcare, hospital, claims, surveillance, or other population health datasets
- Strong understanding of data management principles, including data quality, validation, standardization, documentation, and reproducibility
- Demonstrated ability to communicate technical information clearly to both technical and non-technical audiences
- Experience providing technical assistance or support to external partners, organizations, jurisdictions, or stakeholders
- Strong analytical, problem-solving, organizational, and written communication skills
- Ability to work independently in a fully remote environment while collaborating effectively with a distributed project team
- Preferred: experience working with medium to large databases
- Preferred: experience working with state or local health departments or other public health jurisdictions
- Preferred: experience with public health surveillance, healthcare utilization data, or health services research
- Preferred: experience with SQL, R, SAS Viya, SAS Enterprise Guide, or similar analytical/data management environments
- Preferred: experience developing repeatable data processing workflows or automated analytical processes
- Preferred: experience providing training, webinars, presentations, or structured technical assistance to public health partners
- Master’s degree in public health, epidemiology, biostatistics, data science, or a related discipline preferred
Benefits
Comp & perks- Fully remote work arrangement
- Part-time schedule of 32 hours/week
- Project support for up to 12 months