Leidos is an innovation company rapidly addressing the world’s most vexing challenges in national security and health.
Public Health Data Analyst – Interoperability & Surveillance
Location
United States
Posted
1 day ago
Salary
$87.1K - $157.5K / year
Seniority
Senior
Job Description
Public Health Data Analyst – Interoperability & Surveillance
Leidos
• Support interoperability, data integration, and surveillance modernization initiatives • Develop and maintain data mappings, interface specifications, and integration documentation • Support onboarding and integration of new data sources and partner systems • Assist with modernization of legacy analytical workflows and reporting processes • Support interoperability activities across surveillance, research, laboratory, and operational systems • Conduct data analysis and validation activities supporting interoperability initiatives • Develop technical documentation, SOPs, and user guidance materials • Support technical assistance and stakeholder engagement activities • Experience supporting enterprise reporting and analytics platforms.
Job Requirements
- Bachelor's degree in Public Health, Epidemiology, Biostatistics, Health Informatics, Data Science, Computer Science, or related discipline
- 5+ years of experience supporting public health data systems, analytics, interoperability, or modernization initiatives
- Experience with SQL and one or more analytical languages such as SAS, R, or Python
- Experience supporting surveillance, laboratory, research, or public health datasets
- Strong analytical and communication skills
- Ability to obtain/maintain a Public Trust Security Clearance.
Benefits
- competitive compensation
- Health and Wellness programs
- Income Protection
- Paid Leave
- Retirement
Related Guides
Related Categories
Related Job Pages
More Data Analyst Jobs
Senior Manager, Casino Analytics
DraftKings Inc.Defining what it means to build and deliver the most extraordinary sports & entertainment experiences.The Crown is Yours
• Define and drive the analytics vision across the casino experience. • Champion a culture of data-driven decision-making. • Set and govern experimentation strategy. • Serve as a trusted strategic advisor to senior leadership. • Lead the advancement of scalable reporting and analytical frameworks. • Partner closely with cross-functional stakeholders to evaluate customer behavior.
Senior Reporting and AI Analytics Analyst
SolventumEnabling better, smarter, safer healthcare to improve lives.
• Identify, design, and deliver automation solutions leveraging AI, data, and process optimization • Serve as a bridge between business stakeholders, data teams, and technology partners • Enable automation, enhance reporting capabilities, and drive data-driven decision-making • Identify, assess, and prioritize opportunities to automate manual or repetitive business processes • Design and implement end-to-end automation solutions leveraging AI, machine learning, RPA, and workflow tools • Develop scalable frameworks for automation that can be reused across functions • Partner with IT and engineering teams to execute automation solutions in production environments • Leverage AI/ML tools (e.g., natural language processing, predictive analytics) to enhance reporting and decision-making capabilities • Design automated dashboards and reporting solutions that transform raw data into actionable insights • Act as a trusted advisor to business leaders on automation strategy and opportunities
• Provide day-to-day support to our customers using Zendesk Product Suite to answer and resolve customer inquiries within the scheduled shift or by reporting and transitioning the issue to the next scheduled shift so that the issue/problem is resolved timely. • Act as a representative of RapidDeploy to customers of diverse backgrounds, ensuring a positive experience with the RapidDeploy support organization, ultimately driving positive CSAT scores. • Develop in-depth knowledge of all RapidDeploy product offerings, staying on top of new functionality and versions as they are released to effectively and efficiently resolve all support tickets timely and with customer satisfaction. • Investigate operational issues using tools such as Application Insights, Datadog and FullStory to drive issues toward timely resolution. • Promote bugs and feature requests to the Product and Engineering teams for review and prioritization, ensuring all necessary information is included to strive for quick resolution. • Escalate urgent and high-priority issues as necessary, following established escalation procedures by following the appropriate chain of command. • Effectively communicate with other members of the organization to relay vital information timely and accurately. • Participate in weekend and holiday on-call rotation schedules as required. • Proactively work with the members of the Support organization to achieve and maintain established SLA and KPI metrics to support operational success. • Attend and participate in weekly team meetings, collaborating and working with others to promote ideas and solutions supportive of driving company success. • Participate in cross-team meetings that occur during your shift, to collaborate on reported issues and drive priority. • Contribute to the vision and mission of RapidDeploy by helping and performing other tasks as assigned, as the Company is fast-growing, competitive and in a dynamic market environment.
• Analizar y solucionar incidentes y problemas relacionados con datos • Investigar discrepancias de datos y determinar causas raíz • Documentar, comunicar y proporcionar análisis de problemas de calidad de datos • Crear y ejecutar consultas SQL para validación y verificación de datos • Revisar el código de la aplicación e identificar soluciones técnicas o alternativas cuando sea necesario • Monitorear tendencias de datos y comunicar hallazgos y recomendaciones de manera efectiva • Colaborar con equipos multifuncionales para apoyar las operaciones de producción y solicitudes de cambio • Aplicar mejores prácticas de soporte operativo, incluidos procesos basados en ITIL.




