Data Manager - SAS/Python

Peers & Partners Inc; Atlanta (GA); Remote; USD 55,000 - 83,000; Part time

Job summary

Peers and Partners, Inc. is seeking an experienced Data Manager to support a CDC-funded project involving hospital discharge data.

The role focuses on data management, analysis, quality assurance, and reporting, working closely with state jurisdictions in a fully remote, 32-hour-per-week arrangement. The ideal candidate will be proficient in SAS and Python, have strong public health data analytics experience, and translate complex data issues into practical guidance for partners with varying

Qualifications

• 3+ years of professional experience in public health data management or related field.
• Experience with large, complex datasets and QA, validation, transformation.
• Experience with healthcare datasets or population health data.
• Strong ability to communicate technical information to varied audiences.
• Ability to work independently in a fully remote environment.

Responsibilities

• Provide data management, analysis, and technical assistance to state jurisdictions.
• Support receipt, processing, cleaning, validation, transformation, and analysis of datasets.
• Use SAS and Python to conduct data management, analysis, QA, validation, and reporting.
• Develop and maintain SAS programs, Python scripts, data pipelines, and documentation.
• Perform data quality checks and resolve data issues with jurisdictions.
• Translate analytical findings into actionable information for staff and partners.
• Collaborate with epidemiologists, statisticians, and program staff.

Skills

Data management

Public health data analysis

Communication

Problem solving

Independent work

Education

Bachelor's degree in public health, epidemiology, statistics, biostatistics, data science, or related field

Master's degree preferred

Tools

SAS

Python

SQL

R

SAS Viya

SAS Enterprise Guide

Job description

Peers and Partners, Inc., is seeking an experienced Data Manager to support a CDC-funded project focused on the analysis, management, and use of hospital discharge data. The Data Manager will work closely with state-funded jurisdictions to provide data management, statistical analysis, technical assistance, and problem-solving support related to the collection, processing, quality assurance, analysis, and reporting of hospital discharge data.

The ideal candidate will have strong hands‑on experience with SAS and Python, demonstrated public health data management and analytical capabilities, and the ability to work collaboratively with state and jurisdictional partners. The position requires someone who can translate complex data issues into practical solutions and provide clear technical guidance to partners with varying levels of data and analytical expertise.

This is a fully remote, part‑time position (32 hours/week) supporting the project for up to 12 months.

Key Responsibilities

• Provide data management, analysis, and technical assistance to state‑funded jurisdictions working with hospital discharge data.
• Support the receipt, processing, cleaning, validation, transformation, and analysis of large and complex public health datasets.
• Use SAS and Python to conduct data management, statistical analysis, data quality assessment, validation, and reporting activities.
• Develop, modify, and maintain SAS programs, Python scripts, data pipelines, analytical processes, and related documentation.
• Conduct data quality checks and identify missing, inconsistent, or anomalous data; work with jurisdictions to investigate and resolve identified issues.
• Provide technical assistance to jurisdictions regarding data submission requirements, data structures, coding, processing, analysis, and interpretation.
• Work directly with state and jurisdictional data partners to troubleshoot data issues and provide practical recommendations.
• Assist with development of 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 findings relevant to public health surveillance and program objectives.
• Support development of tables, figures, reports, dashboards, presentations, and other data products for technical and non‑technical audiences.
• Translate analytical findings into clear and 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 clear documentation of analytical methods, data management procedures, decisions, and technical assistance provided.
• 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 to support project objectives.

Required Qualifications

• 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 Qualifications

• Experience working with medium to large databases.
• Experience working with state or local health departments or other public health jurisdictions.
• Experience with public health surveillance, healthcare utilization data, or health services research.
• Experience with SQL, R, SAS Viya, SAS Enterprise Guide, or similar analytical/data management environments.
• Experience developing repeatable data processing workflows or automated analytical processes.
• 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.