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Weekend Remote Intelligence Analyst Jobs in Virginia

ihs

Academic Research Analyst (Remote)

Arlington, VA · On-site +1

Learn and apply additional analytical tools as needed (e.g., SQL, Python, R, Tableau or comparable tools, as well as artificial intelligence) to improve efficiency and analytical quality. Required ...

GRVTY

Full Stack Developer

Chantilly, VA · Remote

Our engineers work to collect, process, and feed analytic tools, turning data into intelligence in ... cannot support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this ...

GRVTY

Palantir Data Engineer

Chantilly, VA · On-site +1

$117K - $140K/yr

Our engineers work to collect, process, and feed analytic tools, turning data into intelligence in ... support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer)

ManTech

Financial Analyst

Herndon, VA · Remote

$119K - $199K/yr

Description & Requirements Unlock the secrets of intelligence with MANTECH! Join a dynamic team at ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

Booz Allen Hamilton, Inc.

CMMI Analyst

Mclean, VA · On-site +1

$77K - $176K/yr

Remote Work: Yes Job Number: R0241639 Location: McLean,VA,US Share job via: Share Additional ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

Maximus

Data Coordination Analyst

VA · On-site +1

... City Remote Country United States Working time Full-time Description & Requirements Maximus is ... business intelligence solutions. The ideal candidate combines strong analytical and technical ...

ICF

Senior Technical Business Analyst

Reston, VA · On-site +1

Virginia Remote (with local travel to ICF's office and client events as needed) Ready to make a ... Working at ICF means applying your passion for meaningful work and intellectual rigor to help solve ...

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Weekend Remote Intelligence Analyst information

What are the key skills and qualifications needed to thrive as a Weekend Remote Intelligence Analyst, and why are they important?

To thrive as a Weekend Remote Intelligence Analyst, you need strong analytical skills, attention to detail, and a background in intelligence, security studies, or a related field, often supported by relevant security clearances. Proficiency in intelligence analysis software, data visualization tools, and secure communication platforms is typically required. Exceptional problem-solving abilities, adaptability, and strong written and verbal communication skills help analysts excel in remote and time-sensitive environments. These skills and qualities are essential for accurately interpreting data, providing timely insights, and ensuring effective collaboration with team members and stakeholders.

Are intelligence analysts in demand?

Yes, intelligence analysts are in demand across government agencies, defense contractors, and private sector organizations due to the need for security, threat assessment, and data analysis skills. The role often requires proficiency with analytical tools and security clearances, and employment opportunities are expected to grow with increasing focus on national security and cybersecurity.

What is the difference between Weekend Remote Intelligence Analyst vs Weekend Remote Data Analyst?

AspectWeekend Remote Intelligence AnalystWeekend Remote Data Analyst
Required CredentialsBachelor's in Intelligence, Security, or related field; certifications like GIAC or CISSPBachelor's in Data Science, Statistics, or related; certifications like CAP or Microsoft Certified Data Analyst
Work EnvironmentRemote, often in government or security agenciesRemote, in corporate or tech industries
Employer & IndustryGovernment agencies, defense, intelligence firmsTech companies, finance, healthcare
Search & Comparison IntentUnderstanding security-focused roles with intelligence skillsAnalyzing data trends in business contexts

The Weekend Remote Intelligence Analyst primarily focuses on security and intelligence gathering, often within government or defense sectors, requiring specialized certifications. In contrast, the Weekend Remote Data Analyst concentrates on analyzing business data to inform decisions, typically in corporate environments. Both roles are remote and part-time but serve different industry needs and skill sets.

How much do CIA intelligence analysts make?

CIA intelligence analysts typically earn between $70,000 and $120,000 annually, depending on experience, education, and security clearance level. Salaries can increase with seniority, specialized skills, and additional certifications, and analysts often receive comprehensive benefits and allowances for security requirements.

What are Weekend Remote Intelligence Analysts?

Weekend Remote Intelligence Analysts are professionals who analyze and interpret data related to security, business, or government intelligence, but work specifically during weekends and do so from a remote location. Their tasks may include monitoring information feeds, preparing intelligence reports, and supporting decision-making processes outside of standard weekday hours. These roles are often found in organizations that require round-the-clock intelligence monitoring, such as government agencies, security firms, or multinational corporations. Remote analysts use digital tools to access classified or sensitive information securely from their home or another remote location. The position requires strong analytical skills, discretion, and the ability to work independently.

Will AI replace intelligence analysts?

AI can automate certain data analysis tasks for intelligence analysts, improving efficiency and handling large volumes of information. However, human judgment, critical thinking, and contextual understanding remain essential, so AI is more likely to augment rather than fully replace intelligence analysts.

Does the CIA have any remote jobs?

The CIA offers some remote positions, including roles like intelligence analysts, which may involve telework depending on the specific job and security requirements. These positions typically require specialized skills, security clearances, and adherence to strict confidentiality protocols.

What are some common challenges faced by Weekend Remote Intelligence Analysts, and how can they be managed?

Weekend Remote Intelligence Analysts often encounter challenges such as working with limited real-time support from colleagues, managing time-sensitive tasks independently, and ensuring secure communication from a remote setting. To manage these, it's important to establish strong communication protocols with on-call team members, utilize secure and reliable technology, and develop effective time management skills for handling urgent requests. Proactively documenting findings and maintaining clear handover notes for weekday teams can also help ensure continuity and accuracy in intelligence reporting.
What are popular job titles related to Weekend Remote Intelligence Analyst jobs in Virginia? For Weekend Remote Intelligence Analyst jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Weekend Remote Intelligence Analyst jobs in Virginia look for? The top searched job categories for Weekend Remote Intelligence Analyst jobs in Virginia are:
Weekend Remote Intelligence Analyst jobs near you

Academic Research Analyst (Remote)

ihs

Arlington, VA • On-site, Remote

Other

Posted 20 days ago

Job description

Job Summary

The Academic Research Analyst supports organizational decision-making by analyzing and interpreting data related to IHS programs, partnerships, research outputs, and institutional impact. Reporting to the Director of Academic Research, this role produces structured analyses and written reports that inform strategy, respond to internal and external requests, and support recurring organizational reporting. The Analyst works with both data and internal stakeholders to ensure analytical outputs are accurate, clearly communicated, and aligned with established measurement approaches.

 Supervisory Responsibilities
  • None.
 Duties and ResponsibilitiesProject Intake and Stakeholder Support
  • Complete analytics projects submitted through established intake processes (e.g., Asana), including both rapid-turnaround requests and longer-term analyses.
  • Partner with internal teams (e.g., Programs, Solution Coalitions, Development, Communications/Marketing, and Leadership) and, as applicable, external partners to clarify questions, confirm definitions, and deliver decision-ready outputs.
  • Maintain clear documentation of assumptions, definitions, and methodologies used in recurring or high-use analyses.
Impact Measurement and Reporting
  • Analyze data on IHS activities (e.g., funding programs, conferences, seminars, convenings) and related partner activity to support measurement of effectiveness and impact.
  • Provide recurring reporting metrics and ad hoc reporting support, including manual validation as needed to ensure outputs answer the intended question.
  • Support analysis of scholarly and research outputs across relevant disciplines (e.g., economics, political science, philosophy, law, history) as required for institutional reporting and impact narratives.
Data Preparation and Quality for Analysis
  • Extract, organize, and prepare datasets from CRM and other data systems for analysis and reporting.
  • Validate analytical datasets and outputs for accuracy and consistency; identify data limitations and caveats and communicate them clearly to stakeholders.
  • Coordinate with the appropriate data owner(s) when data issues affect reporting accuracy or analytical reliability.
Tools, Process Improvement, and Analytical Development
  • Identify opportunities to improve analysis workflows (e.g., repeatable queries, templates, dashboards, or lightweight automation) in coordination with the Director of Business Intelligence.
  • Learn and apply additional analytical tools as needed (e.g., SQL, Python, R, Tableau or comparable tools, as well as artificial intelligence) to improve efficiency and analytical quality.
 Required Qualifications
  • Bachelor’s degree in a relevant field (e.g., social science, economics, public policy, statistics, data analytics, or comparable discipline).
  • Demonstrated ability to conduct data analysis and produce clear written analytical outputs (professional, academic, or equivalent experience).
  • Strong written and verbal communication skills, including the ability to explain findings to non-technical audiences.
  • Ability to manage multiple requests, prioritize work, and meet deadlines in a high-demand environment.
  • Ability to evaluate information from multiple sources, reconcile inconsistencies, and document assumptions.
  • Proficiency in Excel; experience with CRM systems (Salesforce preferred).
 Preferred Qualifications
  • Coursework or experience in statistics, quantitative methods, or program evaluation.
  • Experience working with nonprofit, academic, or research datasets and/or impact measurement.
  • Familiarity with SQL, Python, R, or similar tools used for analysis and reporting.
  • Familiarity with academic research environments and classical liberal ideas.

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