Surveillance Data Analyst Overview

As a Surveillance Data Analyst, you play a significant role in interpreting and managing data collected through various surveillance systems. This position emphasizes the analysis of vast amounts of information to help organizations make informed decisions. Your insights are essential in multiple sectors, including:

  • Security: You analyze data from security cameras, alarm systems, and other monitoring tools to identify unusual behaviors or threats, supporting law enforcement and private security efforts.

  • Retail: In the retail industry, your work helps in understanding customer behavior, optimizing product placement, and reducing theft through data-driven strategies.

  • Transportation: You analyze data from surveillance in transit systems to enhance safety, improve service efficiency, and identify patterns that could affect operational integrity.

  • Healthcare: Your analysis of surveillance data in healthcare settings contributes to patient safety, compliance with regulations, and effective resource allocation.

The importance of your role lies in your ability to transform raw data into actionable intelligence. By spotting trends, flagging anomalies, and generating reports, you help organizations mitigate risks, enhance security, and improve operational efficiency. As technology evolves, your role will continue to adapt, making it vital in maintaining safety and optimizing processes in various environments.

Surveillance Data Analyst Salary

Annual Median: $91,100
Hourly Median: $43.8

Data sourced from Career One Stop, provided by the BLS Occupational Employment and Wage Statistics wage estimates.

Required Education and Training To Become a Surveillance Data Analyst

To become a Surveillance Data Analyst, you will need specific educational qualifications and training. Here are the recommended degree programs:

  • Data Analytics: Pursuing a degree in Data Analytics provides you with the foundational skills in data collection, analysis, and interpretation, which are essential for examining surveillance data.

  • Epidemiology: A degree in Epidemiology equips you with knowledge about disease distribution and determinants in populations, preparing you to analyze health-related data and trends effectively.

  • Biostatistics: Earning a degree in Biostatistics will enable you to apply statistical reasoning and methodologies to biological phenomena, a skill that is critical in assessing and interpreting surveillance data.

  • Public Health: A degree in Public Health offers a broad understanding of health systems, policy, and community health, along with training in data-driven decision-making relevant to surveillance roles.

  • Computational and Applied Mathematics: A degree in this field emphasizes the use of mathematical models and computational techniques, which are vital in analyzing complex data sets related to public health and safety.

Completion of any of these degree programs will provide you with the theoretical knowledge and practical experience necessary to succeed as a Surveillance Data Analyst. In addition to your degree, participating in internships or gaining work experience in relevant settings can further enhance your qualifications.

Best Schools to become a Surveillance Data Analyst in U.S. 2024

#1Baltimore City

Johns Hopkins University

Baltimore, MD

In-State Tuition:$60,480
Out-of-State Tuition:$60,480
Admission Rate:7%
Graduation Rate:94%
Total Enrollment:31,275
#2Richland County

University of South Carolina-Columbia

Columbia, SC

In-State Tuition:$12,288
Out-of-State Tuition:$33,528
Admission Rate:64%
Graduation Rate:78%
Total Enrollment:35,653
#3Washoe County

University of Nevada-Reno

Reno, NV

In-State Tuition:$8,133
Out-of-State Tuition:$24,687
Admission Rate:86%
Graduation Rate:62%
Total Enrollment:20,945
#4Middlesex County

Rutgers University-New Brunswick

New Brunswick, NJ

In-State Tuition:$12,900
Out-of-State Tuition:$30,600
Admission Rate:66%
Graduation Rate:84%
Total Enrollment:50,637
#5Alameda County

University of California-Berkeley

Berkeley, CA

In-State Tuition:$11,564
Out-of-State Tuition:$41,636
Admission Rate:11%
Graduation Rate:94%
Total Enrollment:45,307
#6Hillsborough County

University of South Florida

Tampa, FL

In-State Tuition:$4,559
Out-of-State Tuition:$15,473
Admission Rate:44%
Graduation Rate:74%
Total Enrollment:49,600
Surveillance Data Analyst Job Description:
  • Gather, analyze, or evaluate information from a variety of sources, such as law enforcement databases, surveillance, intelligence networks or geographic information systems.
  • Use intelligence data to anticipate and prevent organized crime activities, such as terrorism.

Required Skills and Competencies To Become a Surveillance Data Analyst

  • Analytical Skills
    You must be able to evaluate complex data sets critically, identifying patterns, trends, and anomalies that can inform decision-making.

  • Technical Proficiency
    Familiarity with data analysis tools and software, such as SQL, Python, or R, is essential for manipulating and analyzing large volumes of data.

  • Attention to Detail
    A keen eye for detail enables you to spot inaccuracies or inconsistencies in data, which is vital for ensuring the integrity of analyses.

  • Statistical Knowledge
    Understanding statistical methods and concepts aids in interpreting data accurately and applying the right techniques to achieve valid results.

  • Problem-Solving Abilities
    You should be adept at identifying issues and developing effective solutions based on data-driven insights.

  • Data Visualization Skills
    Proficiency in data visualization tools (such as Tableau or Power BI) aids in presenting findings clearly and persuasively to stakeholders.

  • Communication Skills
    You need to communicate complex data insights in a way that is understandable to non-technical audiences, facilitating informed decision-making.

  • Knowledge of Regulatory Compliance
    Familiarity with relevant laws and regulations related to data privacy and surveillance is necessary for ensuring that analyses adhere to ethical and legal standards.

  • Project Management
    Ability to manage multiple projects simultaneously, prioritizing tasks efficiently to meet tight deadlines without compromising quality.

  • Team Collaboration
    Working effectively within a team environment is important, as interactions with various departments often are required to gather data and share insights.

Current Job Market and Opportunites for a Surveillance Data Analyst

The job market for Surveillance Data Analysts is experiencing notable growth, fueled by an increasing reliance on data-driven decisions and advancements in surveillance technologies. Here are key aspects of the current landscape:

  • Demand for Analysts: There is a rising demand for Surveillance Data Analysts across various sectors, including law enforcement, corporate security, and health care. The need to analyze and interpret large volumes of surveillance data to enhance security measures is a driving force behind this demand.

  • Growth Potential: The Bureau of Labor Statistics projects employment in analytical roles, including data analysis, to grow considerably over the next decade. This growth is attributed to the expansion of data usage in business strategies, along with heightened concerns about security and crime prevention.

  • Geographical Hotspots: Certain areas in the United States are becoming significant hubs for surveillance data analytics:

    • Tech Hubs: Cities like San Francisco, Seattle, and New York are at the forefront, with numerous technology companies investing in data analytics and surveillance systems.
    • Government Centers: Washington, D.C., and surrounding areas present opportunities in governmental and public safety sectors where surveillance data analysis is pivotal for national security and crime control strategies.
    • Corporate Centers: Cities such as Chicago, Los Angeles, and Atlanta are home to large corporations that require in-house surveillance analysis to monitor security systems and prevent fraud.

  • Emerging Sectors: As businesses increasingly adopt Internet of Things (IoT) technologies, opportunities in industries like retail, transportation, and smart cities are expected to expand. Analysts skilled in interpreting real-time surveillance data from various sources will be in high demand.

  • Impact of Regulations: As privacy regulations evolve, organizations seek professionals who can navigate compliance issues while conducting data analysis. This adds an additional layer of demand for skilled Surveillance Data Analysts who can work with legal, ethical, and technical aspects of data surveillance.

In summary, the job market for Surveillance Data Analysts is vibrant and expanding, offering a wealth of opportunities across diverse sectors and geographic locations.

Top Related Careers to Surveillance Data Analyst 2024

Counterterrorism Analyst
Threat Assessment Specialist
Strategic Intelligence Coordinator
Law Enforcement Intelligence Officer

Additional Resources To Help You Become a Surveillance Data Analyst

  • Bureau of Labor Statistics (BLS)
    Explore job outlook, wage data, and employment statistics for roles related to Surveillance Data Analyst. BLS - Data Analytics Careers

  • Data Science Society
    A platform that offers resources, articles, and forums focused on data science and analytics, beneficial for gaining insights into data analysis techniques and applications. Data Science Society

  • Privacy and Civil Liberties Oversight Board (PCLOB)
    An independent agency that provides information on privacy issues relevant to surveillance and data analysis. PCLOB

  • National Institute of Standards and Technology (NIST)
    Find guidelines and standards for data security and privacy, including best practices that are applicable to data analysis in surveillance contexts. NIST Cybersecurity Framework

  • LinkedIn Learning
    Access a variety of online courses on data analysis, data visualization, and specific tools used in data analytics, which are pertinent to enhancing your skills as a Surveillance Data Analyst. LinkedIn Learning

  • International Association of Privacy Professionals (IAPP)
    This organization offers resources on data protection and privacy laws that directly impact surveillance analytics in various industries. IAPP

  • Kaggle
    An online community and platform for data scientists where you can find datasets for project work and competitions that can enhance your analytical skills. Kaggle

  • Coursera
    Enroll in university-led courses in data analysis, statistics, and machine learning that are helpful for building a foundation relevant to the Surveillance Data Analyst role. Coursera

  • FutureLearn
    Offers online courses from top universities focusing on data analytics, machine learning, and AI, providing further education opportunities in your field. FutureLearn

  • American Statistical Association (ASA)
    Join a professional organization dedicated to the promotion of statistical science. They provide resources and networking opportunities for aspiring data analysts. ASA

Using these resources will further enhance your understanding and skill set as a Surveillance Data Analyst, keeping you informed of trends and best practices in the field.

FAQs About Becoming a Surveillance Data Analyst

  • What is a Surveillance Data Analyst?
    A Surveillance Data Analyst is a professional responsible for monitoring, analyzing, and interpreting data from surveillance systems to identify patterns, trends, and anomalies. This role is essential in sectors like security, healthcare, finance, and law enforcement.

  • What skills are essential for a Surveillance Data Analyst?
    Key skills include:

    • Proficiency in data analysis tools (e.g., SQL, Python, R)
    • Strong statistical analysis capabilities
    • Familiarity with surveillance technologies and systems
    • Critical thinking and problem-solving abilities
    • Effective communication skills for reporting findings to stakeholders

  • What educational qualifications are required?
    Typically, a bachelor's degree in data science, statistics, computer science, or a related field is required. Some positions may prefer or require a master's degree or relevant certifications in data analysis or cybersecurity.

  • What industries employ Surveillance Data Analysts?
    Surveillance Data Analysts can be found in various industries, including:

    • Law enforcement and national security
    • Healthcare (monitoring patient data and compliance)
    • Financial services (fraud detection and risk management)
    • Retail (loss prevention and consumer behavior analysis)

  • What is the typical salary range for a Surveillance Data Analyst?
    Salaries can vary widely based on experience, location, and industry. As of late 2023, the average salary in the U.S. generally ranges from $55,000 to $90,000 per year, with higher compensation for senior roles or specialized positions.

  • What is the career outlook for Surveillance Data Analysts?
    The demand for Surveillance Data Analysts is expected to grow as organizations increasingly leverage data for security and decision-making. The rise in cyber threats and the need for enhanced safety measures in various sectors contribute to this positive outlook.

  • Do I need to have experience to become a Surveillance Data Analyst?
    Entry-level positions may require little to no experience, especially if you have relevant education or internships. However, having practical experience through internships, co-op programs, or related jobs can significantly enhance your employability.

  • What tools and software should I be familiar with?
    Familiarity with data analysis tools and software such as SQL, Tableau, Microsoft Excel, and programming languages like Python or R is important. Knowledge of machine learning and statistical software can also be beneficial.

  • What are common job responsibilities for a Surveillance Data Analyst?
    Typical responsibilities include:

    • Collecting and managing data from various surveillance sources
    • Analyzing data to detect patterns or anomalies
    • Creating reports to present findings to stakeholders
    • Collaborating with IT and security teams to enhance surveillance systems
    • Developing algorithms or models to improve data analysis processes

  • Are there opportunities for career advancement in this field?
    Yes, there are various paths for advancement, such as moving into senior analyst roles, specializing in a particular area (like cybersecurity), or transitioning into management positions. Continuous learning and obtaining relevant certifications can facilitate career growth.