Surveillance Data Analyst information
See salary details
$50.8K - $61.5K
4% of jobs
$61.5K - $72.3K
7% of jobs
$72.3K - $83.1K
4% of jobs
$83.1K - $93.9K
1% of jobs
$93.9K - $104.6K
0% of jobs
$104.6K - $115.4K
1% of jobs
$115.4K - $126.2K
1% of jobs
$126.2K - $137K
0% of jobs
$137K - $147.7K
0% of jobs
$148.1K is the 25th percentile. Wages below this are outliers.
$147.7K - $158.5K
78% of jobs
How much do surveillance data analyst jobs pay per year?
As of Sep 11, 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.
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.
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.
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.
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. Gaining experience through internships or entry-level positions in health agencies or research organizations can also help build relevant expertise.
A surveillance data analyst collects, manages, and interprets data related to public health, safety, or security to monitor trends and identify issues. They use statistical tools and software to analyze large datasets, prepare reports, and support decision-making processes. Strong analytical skills and knowledge of data management are essential for this role.
What cities are hiring for Surveillance Data Analyst jobs?
Cities with the most Surveillance Data Analyst job openings:
What states have the most Surveillance Data Analyst jobs?
States with the most job openings for Surveillance Data Analyst jobs include:
What are popular job titles related to Surveillance Data Analyst jobs?
For Surveillance Data Analyst jobs, the most frequently searched job titles are:
