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Security Analyst Part Time Jobs (NOW HIRING)

ECS

Senior Data Analyst (Part-Time)

Arlington, VA · On-site

$98K - $124K/yr

Everforth ECS is seeking a Senior Data Analyst (Part-Time) to work in our Arlington, VA office ... Evaluate, assess, document, and test data security and continuity of operations for systems and ...

LinTech Global

Senior Data Analyst (part-time)

Arlington, VA · On-site

$99K - $125K/yr

Ensure that quality/security guidelines are followed. * Experience applying analytic techniques to detect fraud in Postal Service operations. Strong relational database and querying languages ...

LinTech Global

Senior Data Analyst (part-time)

Arlington, VA · On-site

$99K - $125K/yr

... security guidelines are followed. * Experience applying analytic techniques to detect fraud in Postal Service operations. • Strong relational database and querying languages experience. • Strong ...

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How much do security analyst part time jobs pay per year?

As of Jun 19, 2026, the average yearly pay for security analyst part time in the United States is $107,334.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $130,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Security Analyst Part Time position, and why are they important?

To thrive as a Security Analyst Part Time, you should have a solid understanding of cybersecurity principles, risk assessment, and incident response, often backed by a degree in information security or related fields. Familiarity with tools like firewalls, intrusion detection/prevention systems, SIEM platforms, and certifications such as CompTIA Security+ or CISSP are commonly expected. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for success in this role. These skills enable analysts to quickly identify and mitigate threats, coordinate with team members, and maintain a secure organizational environment.

What is a Security Analyst Part Time job?

A Security Analyst Part Time job involves monitoring and protecting an organization's IT systems from cyber threats on a reduced hours basis. Responsibilities may include analyzing security alerts, assessing vulnerabilities, and assisting with incident response. Part-time Security Analysts often work with full-time cybersecurity teams to ensure data and network protection. This role is ideal for students, freelancers, or professionals seeking flexible work schedules while contributing to cybersecurity efforts.

What types of responsibilities can I expect in a part-time Security Analyst role?

Part-time Security Analysts typically monitor network activity for suspicious behavior, assist with vulnerability assessments, and help respond to security incidents on a set schedule. You may also be involved in updating documentation, running regular compliance checks, or supporting security awareness training for staff. Depending on the organization, the role might require close collaboration with IT, compliance, or other security personnel to address potential threats. This position is ideal for those looking to gain hands-on experience in security while maintaining a flexible work schedule. Overall, you will play a key part in helping the team maintain a safe and secure digital environment, even in a reduced-hours capacity.

More about Security Analyst Part Time jobs
What cities are hiring for Security Analyst Part Time jobs? Cities with the most Security Analyst Part Time job openings:
What are the most commonly searched types of Security Analyst jobs? The most popular types of Security Analyst jobs are:
What states have the most Security Analyst Part Time jobs? States with the most job openings for Security Analyst Part Time jobs include:
What job categories do people searching Security Analyst Part Time jobs look for? The top searched job categories for Security Analyst Part Time jobs are:
Security Analyst Part Time jobs near you
Infographic showing various Security Analyst Part Time job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 92% Full Time, and 7% Part Time. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $107,334 per year, or $51.6 per hour.
Senior Data Analyst (Part-Time)

Senior Data Analyst (Part-Time)

ECS

Arlington, VA • On-site

$98K - $124K/yr

Part-time

Posted 10 days ago

Job description

Everforth ECS is seeking a Senior Data Analyst (Part-Time) to work in our Arlington, VA office. Please Note: This position is contingent upon additional funding.
Responsibilities include:
  • Work as RISC liaison to CIO for server/system issues related to AWS and Azure.
  • Write programming codes, such as DAX and data Mash-up(M) for data manipulation, sorting, summarizing, and reporting.
  • Perform analysis of data for Extraction, Transformation, and Load (ETL) strategies, pattern recognition, and application of analytical tools.
  • Review, analyze, and modify existing products including coding, debugging, testing, and documenting.
  • Provide guidance to coworkers on business and technical issues affecting projects, such as data access, data quality, storage capacity, and analytic tools and software.
  • Assist with training and conference development which may include presentations to large audiences.
  • Engineer data analytic solutions, including prototyping, proof of concept, and full implementation.
  • Evaluate, assess, document, and test data security and continuity of operations for systems and programs.
  • Ensure compatibility between equipment and software, analyze operational/systems requirements, support design reviews, and present technical briefings.
  • Work as RISC liaison to CIO for server/system issues related to AWS and Azure.
  • Coordinate with staff and customers to identify business and technical requirements.
  • Produce written documentation and artifacts for all work completed, including the translation of user requirements into technical designs.
  • Assist the agency in the development of programming and visualization solutions.
  • Troubleshoot and provide support on existing projects or application efforts.
  • Understand the concepts supporting relational databases, data warehousing, data governance, data access, data quality and related areas.
  • Engineer data analytic solutions, including prototyping, proof of concept, and full implementation.
  • Evaluate, assess, document, and test data security and continuity of operations for systems and programs.
  • Ensure compatibility between equipment and software, analyze operational/systems requirements, support design reviews, and present technical briefings.
  • Analyze Postal Service operations to identify potential fraud schemes, actors, and methods.
  • Participate in site visits with staff and interpret in-the-field observations, identify corresponding data, perform analysis, and identify broader findings.

  • Must be able to obtain a USPS Public Trust
  • Degree in Computer Science, Information Technology, Data Analytics, or related field.
  • 7+ years' experience and skill writing coding languages (such as SQL, Python, R, and Java Scripts).
  • 3+ years' experience working with Microsoft Power Platform (including Power BI, Power Automate, Power Apps) and other business intelligence applications.
  • 1+ year experience working with AWS or Azure services such as Databricks, Data Factory, and Data Lake.
  • In-depth knowledge of scripted languages such as SQL, Python, R, and Java Scripts and the proven ability to create solutions in complex environments, including the use of programming languages to create datasets, visualizations, and interactive reports in various business intelligence applications.
  • Skill applying analytical techniques, methods, and processes to business problems demonstrated through a history of accepted modeling and analyses that resulted in meaningful business impact. These include working with unstructured or structured data and converting those data sets using a variety of analyses such as optimization, simulation, classical and spatial statistics, and/or programming languages.
  • Strong writing and documentation skills to capture collection of source data, methodology from business rules, and visualization deployment from a myriad of sources and interactions with various stakeholders.
  • Ability to facilitate between business owners and end-users who need to communicate with database administrators and traditional IT support staff.
  • Ensure that quality/security guidelines are followed.
  • Strong relational database and querying languages experience.
  • Strong verbal and written communication skills.
  • Must be able to work effectively in a team environment.
  • Understand and follow a software development lifecycle (analysis, design, development, coding, testing, debugging, and documenting).
  • Knowledge of ODBC connection strings, and other external data source connection protocols.
  • Expert proficiency in common data science tools, including scripted languages (such as SQL, Python, R, and Java Scripts), Integrated Development Environment and analytics platforms, open-source solutions, commercial off-the- shelf tools and hardware-based capabilities to support the data analytic development process and creating models, dashboards, and reports.
  • Knowledge and experience using business intelligence applications and reporting technologies/methodologies including Data Analytics Expressions (DAX), data Mash-up(M), and Microsoft Power Platform (e.g., Power BI, Power Apps, Power Automate, etc.).
  • Knowledge of AWS or Azure Services, including Databricks, Data Factory, and Data Lake.
  • Knowledge of Extraction, Transformation, and Load (ETL) strategies, pattern recognition, and application of analytical tools.
  • Ability to facilitate between business owners and end-users who need to communicate with database administrators and traditional IT support staff.
  • Experience applying analytic techniques to detect fraud in Postal Service operations.
  • Extensive background in statistical analysis and skilled in advanced statistical methods and software.
  • Able to work independently or with teams across functions professionally.
  • Capable of writing concise, comprehensive communications on complex issues for the intended audience.
  • Able to communicate methodology and results clearly in writing and verbally, including findings from research.

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