SUMMARY: Entry-level Artificial Intelligence (AI) Assistant Level I supports artificial ... Support GRC activities related to AI systems, data governance, cybersecurity, privacy, and ...
SUMMARY: Entry-level Artificial Intelligence (AI) Assistant Level I supports artificial ... Support GRC activities related to AI systems, data governance, cybersecurity, privacy, and ...
SUMMARY: Entry-level Artificial Intelligence (AI) Assistant Level I supports artificial ... Support GRC activities related to AI systems, data governance, cybersecurity, privacy, and ...
SUMMARY: Entry-level Artificial Intelligence (AI) Assistant Level I supports artificial ... Support GRC activities related to AI systems, data governance, cybersecurity, privacy, and ...
Entry Level Grc Analyst information
See Reston, VA salary details
$15.01 - $20.12
6% of jobs
$20.12 - $25.24
11% of jobs
$27.06 is the 25th percentile. Wages below this are outliers.
$25.24 - $30.35
22% of jobs
The median wage is $34.61 / hr.
$30.35 - $35.47
13% of jobs
$35.47 - $40.58
12% of jobs
$40.58 - $45.70
9% of jobs
$47.30 is the 75th percentile. Wages above this are outliers.
$45.70 - $50.81
9% of jobs
$50.81 - $55.93
6% of jobs
$55.93 - $61.04
5% of jobs
$61.04 - $66.16
4% of jobs
$66.16 - $71.27
3% of jobs
$15
$40
$71
How much do entry level grc analyst jobs pay per hour?
As of May 30, 2026, the average hourly pay for entry level grc analyst in Reston, VA is $40.19, according to ZipRecruiter salary data. Most workers in this role earn between $27.02 and $50.29 per hour, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as an Entry Level GRC Analyst, and why are they important?
To thrive as an Entry Level GRC Analyst, you need a foundational understanding of governance, risk management, and compliance concepts, often supported by a relevant degree such as in information security, business, or IT. Familiarity with GRC platforms like RSA Archer, basic knowledge of regulatory frameworks (e.g., SOX, GDPR), and certifications such as CompTIA Security+ are common technical requirements. Strong analytical thinking, attention to detail, and effective communication skills help you assess risks and collaborate across teams. These capabilities are vital for ensuring organizational compliance, identifying potential risks, and supporting a culture of security and accountability.
What are some common challenges faced by Entry Level GRC Analysts, and how can they be addressed?
Entry Level GRC Analysts often encounter challenges such as understanding complex regulatory requirements, adapting to rapidly changing compliance standards, and effectively communicating findings to both technical and non-technical stakeholders. To overcome these challenges, new analysts should actively seek mentorship from senior team members, participate in relevant training sessions, and regularly review industry updates. Building strong analytical and communication skills will also facilitate smoother collaboration with IT, legal, and business teams.
What is an Entry Level GRC Analyst?
An Entry Level GRC (Governance, Risk, and Compliance) Analyst is a professional who helps organizations manage risks, comply with regulations, and establish effective governance processes. They typically assist in monitoring compliance programs, conducting risk assessments, and documenting policies and procedures. Entry level analysts often work under the supervision of more experienced GRC professionals, learning to use specialized tools and frameworks to identify and address potential risks. This role is ideal for individuals starting their careers in cybersecurity, risk management, or compliance.
What is the difference between Entry Level Grc Analyst vs Compliance Associate?
| Aspect | Entry Level Grc Analyst | Compliance Associate |
|---|---|---|
| Required Credentials | Bachelor's degree, certifications like CISA or CRISC | Bachelor's degree, certifications like CCEP or CAMS |
| Work Environment | Financial institutions, consulting firms, corporate compliance teams | Regulatory agencies, financial firms, corporate compliance departments |
| Employer & Industry Usage | Used in risk management, audit, and compliance departments | Used in legal, risk, and compliance departments across industries |
The Entry Level Grc Analyst and Compliance Associate roles share similar credentials and work environments, often found in financial and corporate sectors. While both focus on compliance and risk, the Grc Analyst emphasizes governance, risk, and compliance frameworks, whereas the Compliance Associate concentrates more on regulatory adherence and policy implementation.
What are the most commonly searched types of Grc Analyst jobs in Reston, VA? The most popular types of Grc Analyst jobs in Reston, VA are:
What are popular job titles related to Entry Level Grc Analyst jobs in Reston, VA? For Entry Level Grc Analyst jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Entry Level Grc Analyst jobs in Reston, VA look for? The top searched job categories for Entry Level Grc Analyst jobs in Reston, VA are:
What cities near Reston, VA are hiring for Entry Level Grc Analyst jobs? Cities near Reston, VA with the most Entry Level Grc Analyst job openings:
Full-time
Posted 19 days ago
Job description
SUMMARY:
Entry-level Artificial Intelligence (AI) Assistant Level I supports artificial intelligence initiatives through data preparation, model testing, system monitoring, governance, risk, and compliance (GRC) support activities, and research. Supports AI adoption initiatives aligned with agency mission priorities, cybersecurity requirements, federal compliance mandates, and digital transformation objectives. Contributes to the development of ethical, secure, transparent, and responsible AI solutions consistent with federal AI frameworks, risk management principles, and organizational governance standards. Assists with continuous monitoring, documentation, audit readiness, and automation efforts supporting AI operational integrity and regulatory compliance.
KEY DUTIES and RESPONSIBILITIES:
Minimum Qualifications
Preferred Skills & Competencies
Required Knowledge, Skills, and Abilities (KSAs)
Security Requirements
Supervision
Entry-level Artificial Intelligence (AI) Assistant Level I supports artificial intelligence initiatives through data preparation, model testing, system monitoring, governance, risk, and compliance (GRC) support activities, and research. Supports AI adoption initiatives aligned with agency mission priorities, cybersecurity requirements, federal compliance mandates, and digital transformation objectives. Contributes to the development of ethical, secure, transparent, and responsible AI solutions consistent with federal AI frameworks, risk management principles, and organizational governance standards. Assists with continuous monitoring, documentation, audit readiness, and automation efforts supporting AI operational integrity and regulatory compliance.
KEY DUTIES and RESPONSIBILITIES:
- Assist with data collection, cleansing, validation, and organization for AI and machine learning projects
- Support the development, testing, and validation of AI models under the guidance of senior technical staff
- Monitor AI systems and report performance issues, anomalies, security concerns, compliance deviations, or opportunities for improvement
- Support GRC activities related to AI systems, data governance, cybersecurity, privacy, and operational controls
- Assist in maintaining AI system documentation, inventories, risk registers, audit artifacts, and compliance tracking records
- Participate in continuous monitoring activities for AI-enabled systems to support operational performance, cybersecurity posture, and regulatory compliance
- Assist with implementing automated workflows, dashboards, alerts, and reporting mechanisms for AI operations and compliance monitoring
- Conduct research on emerging AI tools, platforms, federal AI policies, cybersecurity standards, and industry best practices
- Help document AI workflows, standard operating procedures (SOPs), governance processes, and technical procedures
- Support internal stakeholders using AI-powered tools, automation platforms, and data-driven solutions
- Collaborate with cross-functional teams including cybersecurity, compliance, legal, privacy, data governance, and IT operations personnel to integrate AI solutions into business operations
- Assist in preparing reports, dashboards, presentations, and metrics related to AI initiatives, compliance activities, risk assessments, and operational performance
- Support the identification, tracking, and mitigation of operational, cybersecurity, privacy, and AI model risks
- Assists in the development, implementation, maintenance, and governance of AI-enabled solutions to improve operational efficiency, decision-making, automation, and data-driven outcomes
- Support adherence to federal AI governance frameworks, cybersecurity standards, and agency compliance requirements
Minimum Qualifications
- Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, Cybersecurity, Information Assurance, or a related discipline
- 0-2 years of relevant experience (internships or academic projects acceptable)
- Basic understanding of artificial intelligence, machine learning, data analytics, cybersecurity, or governance and compliance concepts
Preferred Skills & Competencies
- Familiarity with programming languages such as Python, R, or Java Familiarity with programming languages such as Python, R, Java, or scripting tools used for automation
- Exposure to data analysis tools (e.g., Excel, SQL, Power BI, Tableau, or similar platforms)
- Basic knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, or similar).
- Familiarity with Governance, Risk, and Compliance (GRC) concepts, cybersecurity controls, or compliance monitoring processes
- Exposure to automation, workflow orchestration, or monitoring tools used in IT or AI environments
- Understanding of continuous monitoring principles, audit readiness, and operational reporting processes
- Knowledge of federal IT environments, cloud platforms, AI governance frameworks, cybersecurity standards, or data governance policies
- Familiarity with federal frameworks and standards such as NIST AI RMF, NIST CSF, RMF, FedRAMP, FISMA, or Zero Trust concepts.
- Strong analytical and problem-solving skills
- Excellent written and verbal communication skills
- Ability to work independently and collaboratively in a team environment
- Attention to detail and a strong commitment to quality and compliance
- Experience supporting government clients or working in a regulated environment preferred
Required Knowledge, Skills, and Abilities (KSAs)
- Foundational knowledge of AI/ML concepts, data analytics, governance, risk management, and statistical methods
- Basic proficiency in programming languages such as Python, R, SQL, or similar technologies
- Familiarity with data analysis and visualization tools (e.g., SQL, Excel, Power BI, Tableau, or equivalent)
- Understanding of Governance, Risk, and Compliance (GRC) principles and continuous monitoring concepts
- Ability to follow established procedures, security controls, governance standards, and federal compliance requirements
- Knowledge of cybersecurity, privacy, and data protection principles in AI-enabled environments
- Ability to identify, document, and escalate operational, compliance, or system risks
- Strong analytical, organizational, and problem-solving skills
- Effective written and verbal communication skills
- Ability to support audit preparation, reporting, and documentation activities
- Ability to work in a structured, compliance-driven, and mission-focused environment
Security Requirements
- Ability to obtain and maintain a Public Trust or higher-level security clearance, as required by the contract
Supervision
- Works under direct supervision with clearly defined guidelines. Receives technical guidance from senior AI, cybersecurity, compliance, governance, data, or engineering personnel.