Data Analyst

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able to Obtain:

None

Public Trust/Other Required:

None

Job Family:

Data Analysis

Job Qualifications:

Skills:

Data Analytics, Data Management, Statistical Analysis, Structured Query Language (SQL)

Certifications:

None

Experience:

4 + years of related experience

US Citizenship Required:

No

Job Description:

GDIT is looking for a data manager with deep data analytics skills. In this role you will provide data management support to the CDC Office of Public Health Data, Surveillance, and Technology’s Inform and Disseminate Division. In this role you will focus on management of big data sets of surveillance and purchased clinical data. Your role is as a data manager who works closely with your client to understand the needs of health scientists and ensure data is ready for analysis

 

Supporting CDC in a fast-paced environment that requires the ability to work with big data sets and turn complex analysis around in a few days. There may be opportunities to support MMWR and other publications.

• Manage the data lifecycle from collection to disposal, ensuring efficient storage, access, and use.
• Support contract and vendor communication, including scope review, specifications verification, discrepancy follow-up, and coordination with vendors.
• QA/QC data, focusing on creating methodologies, maintaining quality levels, automating checks, and coordinating User Acceptance Testing.
• Manage meta-data, which involves generating, coordinating, updating technical and business metadata across various assets.
• Handle schema deviations, maintain data dictionaries, and direct engineering efforts for database setup.
• Sign off on data releases and coordinate data flow across various systems, including EHR datasets.
• The candidate will provide high-level expertise to develop study questions and designs; conduct analyses; and interpret findings based on electronic case reporting data and pharmacy, hospital, and healthcare claims data.
• Maintain requisite knowledge for managing and analyzing large data sets using Python, SAS, SQL, or R.
• Trains/demonstrates new analytics tools and software languages for DHIS/PEB staff. Perform work for review in timely intervals as defined by Health Scientist Coordinator.
• Reviews deliverables to ensure time frames and quality standards are met, and then submits deliverables within established time frames.
• Develop and document Python, SAS, R, or SQL programs, views, and databases.
• Verify results and validate with other known information sources.
• Summarize and visualize results (for example, develop graphs for dashboards showing data metrics).
• Draft final reports, methodological white papers, or articles for publication.
• Track technical assistance being provided to ensure queries are answered promptly and consistently.
• Produce data extracts and cleaning scripts.
• Develop data management and analysis materials, including graphics to convey analyses.
• Publish analysis and QC scripts to central repository or shared space like GitHub for use by others within PEB and across the agency upon review and acceptance by CDC.
• Lead the analysis and writing for at least one peer review publication
• Co-author and write papers for publications in peer-review journals and reports; present papers/research/findings to the scientific community at professional meetings and conferences.
• Support CDC clearance process for scientific products, which includes reviewing materials produced by others

Technical Skills: Python, R, SAS, PySpark, Tableau Server, PostgreSQL, SQL, Django, ArcGIS,

Qualifications:

• Bachelor’s degree in Computer Science, Computer Engineering, Data Science or related discipline
• 3+ years supporting federal government in support roles required
• Experience developing in Python or SQL Experience creating data QA/QC scripts
• Experience with Microsoft Azure (preferred) or AWS Experience with Databricks
• Experience with Big