Data Management Analyst - Home Office, United States - General Dynamics Information Technology

Description

GDIT is looking for a Data Management Analyst 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

Requirements:

• Bachelors degree in Computer Science or related field
• 4+ years of relevant experience, with emphasis on big data
• 3+ years of specific data analysis tools: Python, R, SAS, PySpark, Tableau Server, PostgreSQL, SQL, Django, ArcGIS
• Experience developing in Python or SQL Experience creating data QA/QC scripts
• Experience with data mining, statistical analysis, and data structures
• Experience with relational databases and data pipelines
• Experience with large 'big data' datasets
• Experience in assisting in the preparation of documents for public audiences
• Experience in the use of MS Teams and Microsoft Office software (i.e., Word; Excel; PowerPoint; Outlook)

Desired Skills and Experience:

• Previous CDC and or public health experience highly desirable
• Experience with Public Health data preferred
• Experience with Big Data analysis programming techniques and technologies
• Experience in facilitating quick turn-around for complex documents
• Understanding of Cloud technologies, with with Microsoft Azure or AWS Experience with Databricks
• Superior multi-tasking and organization skills.
• Must manage multiple simultaneous projects and prioritize assignments and tasks accordingly, remaining flexible to changing priorities and new initiatives
• Possession of excellent analytical, data gathering, and problem-solving skills
• Experience supporting multiple concurrent, on-going activities
• Self-sufficient (needs little supervision)
• Sound interpersonal communication, telephone, email and business etiquette
• Strong attention to detail and organizational skills
• Excellent communication and interpersonal skills
• Demonstrated proactive approaches to problem solving with strong decision-making capabilities
• Forward looking thinker, who actively seeks opportunities and proposes solutions
• Analyze organizational goals and objectives, operating environment and business processes to determine most efficient methods of accomplishing work

Work Requirements

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Years of Experience
4 + years of related experience

* may vary based on technical training, certification(s), or degree

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Certification

Travel Required
None

About Our Work

We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 30 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.

GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.