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Surveillance Data Analyst Jobs (NOW HIRING)

Goldbelt Professional Services

Data Analyst II

Provide data management, statistical analysis, surveillance support, and reporting to support ... national surveillance of birth defects and other infant disorders. * Sort, clean, validate, and ...

Goldbelt, Inc.

Data Analyst II

Provide data management, statistical analysis, surveillance support, and reporting to support national surveillance of birth defects and other infant disorders. * Sort, clean, validate, and analyze ...

Goldbelt, Inc.

Data Analyst II

Provide data management, statistical analysis, surveillance support, and reporting to support ... national surveillance of birth defects and other infant disorders. * Sort, clean, validate, and ...

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$138.1K

$158.5K

How much do surveillance data analyst jobs pay per year?

As of Aug 17, 2026, the average yearly pay for surveillance data analyst in the United States is $138,141.00, according to ZipRecruiter salary data. Most workers in this role earn between $157,000.00 and $157,000.00 per year, depending on experience, location, and employer.

What is a surveillance data analyst?

A Surveillance Data Analyst is a professional who collects, processes, and interprets data from surveillance systems to identify trends, detect anomalies, and support decision-making. They often work in fields like public health, security, or finance, where monitoring patterns and responding to potential threats is critical. Their responsibilities include data cleaning, statistical analysis, and reporting findings to stakeholders. They use specialized software and analytical techniques to ensure accurate surveillance and provide actionable insights. Strong analytical skills and attention to detail are essential for this role.

What are the key skills and qualifications needed to thrive as a surveillance data analyst?

To thrive as a Surveillance Data Analyst, you need strong analytical skills, expertise in data management, and a background in statistics or public health, often supported by a relevant degree. Familiarity with data analysis tools like SQL, SAS, R, or Python, and experience with surveillance databases and reporting systems, are commonly required. Critical thinking, attention to detail, and clear communication help analysts interpret complex data and share insights with diverse stakeholders. These competencies are essential for ensuring accurate monitoring, timely detection of trends, and effective decision-making in public health or security contexts.

What are some common challenges a surveillance data analyst faces when ensuring data accuracy and integrity?

Surveillance Data Analysts often encounter challenges related to maintaining data accuracy and integrity due to the large volumes of complex, real-time information they process. Issues such as data discrepancies, incomplete records, and inconsistent formatting can arise, requiring strong attention to detail and analytical skills to resolve. Additionally, coordinating with cross-functional teams, like IT and compliance, is essential to clarify data sources and implement quality controls. Proactively addressing these challenges helps ensure reliable insights for decision-making and regulatory compliance.

How do you become a surveillance data analyst?

To become a surveillance data analyst, typically a bachelor's degree in public health, statistics, data science, or a related field is required. Developing skills in data analysis tools like SQL, R, or Python, along with knowledge of epidemiology and data visualization, is essential; some roles may also require relevant certifications or experience in health data systems.

What does a surveillance data analyst do?

A surveillance data analyst collects, manages, and interprets data related to public health, safety, or security to identify trends and support decision-making. They often use statistical tools and software to analyze large datasets, prepare reports, and monitor ongoing situations to inform policies or responses.
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Surveillance Data Analyst jobs near you
Infographic showing various Surveillance Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $138,141 per year, or $66.4 per hour.

Scientific Data Analyst (Surveillance)

Goldbelt Inc

Silver Spring, MD • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago

Job description

Overview
Please note that this position is contingent upon the successful award of a contract currently under bid.
Goldbelt Apex, a part of the Healthcare Technology Transformation Group, is a data-focused company dedicated to process and quality in every aspect. As experts in healthcare IT experts, Apex is committed to building systems for healthcare organizations to seamlessly communicate and exchange data across different systems and devices.
Summary:
Goldbelt Apex is seeking an experienced Scientific Data Analyst (Surveillance) to support the Defense Health Agency's Psychological Health Center of Excellence (PHCoE). This position provides analytical expertise supporting behavioral health surveillance, data management, statistical reporting, and decision support activities that inform psychological health programs across the Military Health System.
The successful candidate will analyze complex healthcare and behavioral health datasets, identify trends affecting Service Member health and readiness, develop data visualizations and reports, and support evidence-informed decision-making through advanced analytical techniques. This role works closely with Government stakeholders, researchers, epidemiologists, statisticians, and behavioral health professionals to transform data into actionable intelligence.
Responsibilities
Essential Job Functions:
  • Analyze large behavioral health, healthcare, and surveillance datasets to identify trends, patterns, and emerging issues affecting military populations.
  • Support psychological health surveillance initiatives through data collection, validation, analysis, and interpretation.
  • Develop dashboards, data visualizations, executive reports, and briefing materials that communicate analytical findings to Government leadership.
  • Perform data quality assessments and ensure the integrity, accuracy, and completeness of analytical products.
  • Support development and maintenance of surveillance metrics, performance indicators, and reporting methodologies.
  • Collaborate with researchers, statisticians, epidemiologists, clinicians, and Government stakeholders to support ongoing behavioral health research and surveillance initiatives.
  • Analyze healthcare utilization, behavioral health outcomes, and population health data to support strategic planning and policy development.
  • Develop reproducible analytical workflows using appropriate statistical and data management software.
  • Prepare technical documentation, analytical reports, presentations, and data summaries supporting contract deliverables.
  • Assist in integrating data from multiple healthcare and research sources to support comprehensive surveillance efforts.
  • Identify opportunities to improve data collection, reporting processes, and analytical methodologies.
  • Ensure analytical products comply with scientific standards, privacy requirements, and Government data management policies.
  • Support special studies, rapid response analyses, and emerging behavioral health initiatives as requested.

Qualifications
Necessary Skills and Knowledge:
  • Strong knowledge of healthcare and behavioral health data analysis.
  • Experience working with large, complex datasets from multiple data sources.
  • Proficiency with statistical software such as SAS, R, SQL, Python, SPSS, or comparable analytical tools.
  • Knowledge of data visualization platforms such as Tableau, Power BI, or similar business intelligence software.
  • Understanding of healthcare surveillance methodologies and performance measurement.
  • Knowledge of data governance, quality assurance, and validation techniques.
  • Strong analytical, problem-solving, and critical thinking skills.
  • Excellent technical writing and presentation skills.
  • Ability to communicate analytical findings to both technical and non-technical audiences.
  • Ability to work effectively within multidisciplinary scientific and healthcare teams.

Minimum Qualifications:
  • Bachelor's degree in Data Science, Statistics, Computer Science, Public Health, Health Informatics, Epidemiology, Mathematics, or a related discipline.
  • Meet all education and experience requirements identified in the solicitation for the Scientific Data Analyst labor category.
  • Demonstrated experience analyzing healthcare, behavioral health, public health, or scientific datasets.
  • Experience developing dashboards, performance metrics, and executive-level reports.
  • Experience supporting surveillance, epidemiology, population health, healthcare operations, or research initiatives.
  • Experience performing statistical analyses and interpreting complex analytical findings.
  • Experience integrating and validating data from multiple systems or databases.
  • Experience supporting Government agencies, healthcare organizations, research institutions, or comparable environments.
  • U.S. Citizenship.
  • Ability to obtain and maintain a Public Trust background investigation and Common Access Card (CAC).
  • Occasional travel may be required in support of contract performance.

Preferred Qualifications:
  • Preference may be given to candidates with experience supporting:
    • Defense Health Agency (DHA)
    • Psychological Health Center of Excellence (PHCoE)
    • Military Health System (MHS)
    • Department of Defense (DoD)
    • Department of Veterans Affairs (VA)
    • National Institutes of Health (NIH)
    • Centers for Disease Control and Prevention (CDC)
    • Department of Health and Human Services (HHS)
  • Experience supporting behavioral health surveillance or healthcare analytics.
  • Experience working with military healthcare or population health datasets.
  • Experience developing executive dashboards and business intelligence products.
  • Knowledge of healthcare data standards, data warehouses, and clinical information systems.
  • Experience supporting federally funded healthcare research programs.
  • Experience applying predictive analytics, machine learning, or advanced analytical methodologies to healthcare data.
  • Experience presenting analytical findings to senior leadership.

Pay and Benefits
The annual salary range for this position is $135,000 to $155,000. This is a proposal-contingent position. The salary range provided represents the anticipated compensation for this role; however, final compensation will be based on the successful contract award and the selected candidate's qualifications and experience.
At Goldbelt, we value and reward our team's dedication and hard work. We provide a competitive base salary commensurate with your qualifications and experience. As an employee, you'll enjoy a comprehensive benefits package, including medical, dental, and vision insurance, a 401(k) plan with company matching, tax-deferred savings options, supplementary benefits, paid time off, and professional development opportunities.

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