Mid-Level Data Management Analyst (52951)

Position Objective: This Mid-Level Data Management Analyst will support the Centers for Disease Control and Prevention (CDC) Office of Public Health Data Surveillance and Technology (OPHDST). The analyst will support the Actionable Data Branch (ADB) and CDC Data Hub in managing large complex public health and healthcare data assets across their full lifecycle.

The successful candidate will combine hands-on data management QA/QC programming data quality and pipeline experience with the ability to work directly with CDC program staff analysts engineers and data providers. The position will support data ingestion release management version control quality assurance documentation data stewardship user data management inquiries and production readiness across CDC data and analytic platforms.

Duties and Responsibilities:

Manage CDC Data Hub data assets throughout the data lifecycle including ingestion release management version control access readiness maintenance and planned archival.

Perform data quality assurance validation and health checks to ensure data are complete accurate analytically consistent and ready for production use.

Develop and maintain data extracts transformation logic cleaning scripts reusable data assets and data preparation processes using Python SQL R SAS Spark or other approved tools.

Collaborate with data engineers to develop maintain monitor and troubleshoot data pipelines and support reliable production data delivery.

Monitor and document data lineage transformations dependencies schema changes and release history.

Support data stewardship and governance activities including metadata data dictionaries access requirements usage guidance and applicable data management policies and procedures.

Support publication versioning and maintenance of data products and bundles within CDC data environments and marketplaces.

Develop and maintain SOPs and technical documentation for ingestion quality control versioning dissemination and data management processes.

Serve as a liaison among CDC program staff analysts engineers data vendors and other stakeholders to clarify requirements and resolve data issues including responding to user inquiries.

Track and respond to technical assistance and user inquiries related to datasets metadata data dictionaries pipelines and data management processes.

Provide demonstrations and knowledge-sharing on data assets analytic platforms tools and workflows.

Self-motivated striving for continuous learning and willing to jump in to learn new skills and offer client base suggested process improvements.

Work independently and collaboratively across multiple concurrent data management activities and priorities.

Basic Qualifications:

Bachelors degree in data science Computer Science Public Health Health Informatics Statistics Information Systems or a related field.

4 years of relevant professional experience in data management data analytics data engineering support or a related field.

1 year of hands-on Palantir Foundry experience.

Demonstrated experience managing large complex datasets and data pipelines.

Hands-on experience with Python SQL R SAS or comparable data programming/query languages. Databricks experience preferred.

Experience performing data quality assurance validation data preparation transformation and troubleshooting.

Experience with relational databases data pipelines data lineage versioning metadata and technical documentation.

Experience working in cloud-based data or analytic environments.

Ability to obtain and maintain the required Federal Public Trust.

Preferred Qualifications:

MPH Masters degree or other advanced degree in Public Health Epidemiology Data Science Health Informatics Statistics Computer Science or a related discipline.

Experience supporting CDC HHS or another Federal health/public health organization.

Experience managing healthcare or public health datasets including EHR claims laboratory pharmacy population or related data.

Experience with 1CDP Palantir Foundry Databricks Microsoft Azure or comparable enterprise cloud/data platforms.

Experience with data stewardship governance metadata management data marketplaces or reusable enterprise data products.

Familiarity with healthcare data structures coding terminologies and public health analytic use cases.

Ability to manage multiple concurrent priorities and work effectively with technical and nontechnical stakeholders.

Strong analytical organizational problem-solving and communication skills.

*This job description is not designed to cover or contain a comprehensive listing of activities duties or responsibilities that are required by this position.

To perform this job successfully an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

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Qualified applicants will receive consideration for employment without regard to race color religion sex national origin disability protected veteran status or other characteristics protected by law.