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Cybersecurity Data Analyst Jobs in Rochester, NY

L3HHCM20

Specialist, Application Developer

Rochester, NY · On-site

$79K - $146K/yr

Ensure compliance with software development standards, cybersecurity requirements, data protection ... Proficiency in data manipulation and analysis using pandas, SQL, and data warehousing concepts

Maximus

AI/ML Software Developer

Rochester, NY · Remote

Ensures solutions comply with DoD cybersecurity, RMF, data protection, and Responsible AI policies ... and internal value analysis including seniority and merit systems, as well as internal pay ...

Maximus

AI/ML Software Developer

Rochester, NY · On-site

Ensures solutions comply with DoD cybersecurity, RMF, data protection, and Responsible AI policies ... and internal value analysis including seniority and merit systems, as well as internal pay ...

Maximus

AI/ML Software Developer

Geneseo, NY · On-site

Ensures solutions comply with DoD cybersecurity, RMF, data protection, and Responsible AI policies ... and internal value analysis including seniority and merit systems, as well as internal pay ...

Maximus

AI/ML Software Developer

Geneseo, NY · Remote

Ensures solutions comply with DoD cybersecurity, RMF, data protection, and Responsible AI policies ... and internal value analysis including seniority and merit systems, as well as internal pay ...

Deloitte

FDE Senior Manager

Rochester, NY

Search/analytics or graph platforms relevant to identity analytics (Elasticsearch/OpenSearch, Neo4j ... Bachelor's degree in Computer Science, Engineering, Information Technology, Cybersecurity, or a ...

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All JobsCybersecurity Data Analyst JobsCybersecurity Data Analyst Jobs in Rochester, NY

Cybersecurity Data Analyst information

See Rochester, NY salary details

$33.6K

$81.6K

$134.2K

How much do cybersecurity data analyst jobs pay per year?

As of Jul 3, 2026, the average yearly pay for cybersecurity data analyst in Rochester, NY is $81,575.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Cybersecurity Data Analyst, and why are they important?

To thrive as a Cybersecurity Data Analyst, you need a strong background in data analysis, cybersecurity principles, and a relevant degree such as computer science, information security, or data analytics. Familiarity with SIEM tools (like Splunk or QRadar), programming languages (Python, SQL), and industry certifications (such as CompTIA Security+ or CISSP) is highly valuable. Strong problem-solving, attention to detail, and effective communication skills help you interpret complex data and collaborate across teams. These competencies are crucial for identifying threats, mitigating risks, and ensuring an organization’s digital security.

Can you make $500,000 a year in cyber security?

Cybersecurity Data Analysts typically earn between $70,000 and $120,000 annually, depending on experience, certifications, and location. Reaching a salary of $500,000 usually requires advanced roles such as cybersecurity executives or specialists with extensive expertise, leadership responsibilities, or working in high-paying industries. High salaries in cybersecurity often involve senior positions, specialized skills, or consulting roles.

Can you make $200,000 in cyber security?

Cybersecurity Data Analysts can potentially earn $200,000 or more annually, especially with extensive experience, advanced certifications like CISSP or CISM, and roles in high-demand industries or senior positions. Salary varies based on location, company size, and individual skills, with some senior or specialized roles reaching or exceeding this level.

What are Cybersecurity Data Analysts?

Cybersecurity Data Analysts are professionals who use data analytics techniques to identify, assess, and mitigate security threats within an organization’s information systems. They analyze large volumes of security data to detect anomalies, investigate incidents, and inform cybersecurity strategies. Their work helps organizations protect sensitive information, maintain compliance, and respond effectively to cyber attacks. Cybersecurity Data Analysts often collaborate with IT and security teams to ensure robust defense mechanisms are in place.

What is the difference between Cybersecurity Data Analyst vs Cybersecurity Analyst?

AspectCybersecurity Data AnalystCybersecurity Analyst
CertificationsCompTIA Security+, CISSP, CEHCompTIA Security+, CISSP, CEH
Work EnvironmentData-focused, analyzing security data and logsSecurity monitoring, incident response
Employer & IndustryTech firms, finance, healthcareIT departments, security firms
Search & Comparison IntentUnderstanding data analysis roles in securitySecurity operations and threat mitigation

While both roles require similar certifications and often work in related environments, the Cybersecurity Data Analyst primarily focuses on analyzing security data to identify trends and vulnerabilities. In contrast, the Cybersecurity Analyst handles real-time security monitoring and incident response. Both roles are vital in protecting organizations but differ in their core responsibilities and daily tasks.

Is 30 too old for cyber security?

Cybersecurity Data Analysts can enter the field at any age, as success depends on skills, certifications, and experience rather than age. Many professionals transition into cybersecurity later in their careers, leveraging prior technical or analytical backgrounds. Continuous learning and relevant certifications like CompTIA Security+ or CISSP can enhance job prospects regardless of age.

How does a Cybersecurity Data Analyst typically collaborate with other teams within an organization?

A Cybersecurity Data Analyst often works closely with IT, security operations, and risk management teams to detect, investigate, and respond to security threats. They regularly share insights from data analysis to help refine security policies, support incident response, and inform decision-making processes. Effective communication and collaboration are essential, as analysts must translate complex data findings into actionable recommendations for both technical and non-technical stakeholders. This cross-functional teamwork enhances the organization’s overall security posture.

What does a cybersecurity data analyst do?

A cybersecurity data analyst examines security data to identify vulnerabilities, detect threats, and monitor network activity. They use tools like SIEM systems and perform data analysis to support security decisions, often requiring knowledge of cybersecurity principles and data analysis skills. Their work helps organizations prevent and respond to cyber attacks.
What are popular job titles related to Cybersecurity Data Analyst jobs in Rochester, NY? For Cybersecurity Data Analyst jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Cybersecurity Data Analyst jobs in Rochester, NY look for? The top searched job categories for Cybersecurity Data Analyst jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Cybersecurity Data Analyst jobs? Cities near Rochester, NY with the most Cybersecurity Data Analyst job openings:
Cybersecurity Data Analyst jobs near you
Infographic showing various Cybersecurity Data Analyst job openings in Rochester, NY as of June 2026, with employment types broken down into 76% Full Time, 16% Part Time, and 8% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $81,575 per year, or $39.2 per hour.

Specialist, Application Developer

L3HHCM20

Rochester, NY • On-site

$79K - $146K/yr

Other

Medical, Retirement, PTO

Posted yesterday

Job description

Job Title: Specialist, Application Developer 

Job Code: 38077

Job Location: (On Site) Melbourne, FL; Rochester, NY; Salt Lake City, UT; or Rockwall TX

Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off

Job Description:

This position is responsible for developing, implementing, and maintaining AI-powered applications and automation solutions that drive business value across the enterprise. This role combines application development expertise with data engineering and artificial intelligence capabilities to build intelligent systems that enhance operational efficiency and enable data-driven decision-making. The selected candidate will work closely with software application development, data engineering, IT, and business stakeholders to deliver secure, scalable, and business-relevant solutions.

Essential Functions:

  • Design, develop, test, and maintain AI-powered applications and automation solutions using modern development frameworks and cloud platforms
  • Work within Palantir Foundry (or similar platforms) to build data-driven applications and analytical workflows
  • Support end-to-end software development activities, including requirements analysis, architecture, coding, integration, testing, and deployment
  • Build and integrate LLM-based applications leveraging generative AI technologies for business use cases
  • Develop agentic AI systems that can autonomously perform tasks, make decisions, and interact with multiple tools and APIs
  • Create and maintain data pipelines for AI model integration, feature engineering, and real-time inference
  • Implement AI solutions for classification, prediction, natural language processing, and computer vision applications
  • Build automation workflows that integrate AI capabilities with existing enterprise systems and business processes
  • Develop APIs, microservices, and supporting components to expose AI functionality to downstream applications and users
  • Perform model evaluation, validation, and performance analysis using appropriate technical metrics
  • Optimize application performance, scalability, and cost-efficiency of AI workloads
  • Ensure compliance with software development standards, cybersecurity requirements, data protection policies, and responsible AI practices
  • Collaborate with cross-functional teams to translate business and technical needs into effective solutions
  • Evaluate and integrate emerging AI technologies and frameworks to maintain competitive advantage
  • Prepare and maintain technical documentation, design artifacts, user guides, and test results
  • Troubleshoot and resolve issues in production AI systems, implementing monitoring and alerting solutions
  • Support lifecycle sustainment of deployed capabilities including defect resolution and performance improvements
  • Participate in agile development processes including sprint planning, daily standups, retrospectives, and technical reviews
  • Contribute to the development of reusable AI components and internal libraries
  • Contribute technical solutions within established architectures and development processes
  • Identify risks and recommend mitigation strategies
  • Stay current with the rapidly evolving AI landscape and share knowledge with the broader team

Qualifications:

  • Bachelor's Degree and minimum 4 years of prior relevant experience. Graduate Degree and a minimum 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience.

Preferred Additional Skills:

  • Strong programming skills and experience with at least one modern programming language (Python, Java, C#, JavaScript, etc.)
  • Hands-on experience working with LLMs and generative AI APIs
  • Demonstrated experience building and deploying applications that integrate AI capabilities
  • Experience with software integration, REST APIs, and service-based architectures
  • Proficiency in data manipulation and analysis using pandas, SQL, and data warehousing concepts
  • Familiarity with version control (Git), automated builds, testing processes, and modern development workflows
  • Experience with Palantir Foundry platform for building data applications and workflows
  • Knowledge of agentic AI frameworks (LangChain, LangGraph, AutoGPT, CrewAI, etc.)
  • Experience with vector databases and RAG architecture
  • Familiarity with prompt engineering techniques and LLM fine-tuning approaches
  • Front-end development skills (React, Vue, or similar) for building AI application interfaces

In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $79,000-$146,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, and Vermont is $69,000-$128,000. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.

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