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Weekend Remote Intelligence Analyst Jobs in Phoenix, AZ

YO AI Labs

AI Finance Expert - Remote

Phoenix, AZ · Remote

$100 - $200/hr

... intelligence . In this role, you will help improve next-generation AI systems by reviewing ... Analyze, review, and edit AI-generated financial content for accuracy, clarity, and relevance.

YO AI Labs

Criminal Lawyer - Remote

Phoenix, AZ · Remote

$140 - $400/hr

... analyzing, or summarizing legal documents and case files. * Ability to collaborate effectively in remote and technology-driven environments. * Interest in legal technology, artificial intelligence ...

The Hartford

Short-Term Disability Analyst

Scottsdale, AZ · On-site +1

$46K - $67K/yr

This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office ... Demonstrate empathy and emotional intelligence when navigating difficult conversations and complex ...

The Hartford

Long Term Disability Analyst

Scottsdale, AZ · On-site +1

$10K/mo

Demonstrate empathy and emotional intelligence when navigating difficult conversations and complex ... This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our offices ...

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All JobsIntelligence Analyst JobsWeekend Remote Intelligence Analyst JobsWeekend Remote Intelligence Analyst Jobs in Phoenix, AZ

Weekend Remote Intelligence Analyst information

See Phoenix, AZ salary details

$40.7K

$99.3K

$153.4K

How much do weekend remote intelligence analyst jobs pay per year?

As of Aug 23, 2026, the average yearly pay for weekend remote intelligence analyst in Phoenix, AZ is $99,349.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,500.00 and $119,600.00 per year, depending on experience, location, and employer.

What is a weekend remote intelligence analyst?

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.

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.

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 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.

What are popular job titles related to Weekend Remote Intelligence Analyst jobs in Phoenix, AZ?

For Weekend Remote Intelligence Analyst jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Weekend Remote Intelligence Analyst jobs in Phoenix, AZ look for?

The top searched job categories for Weekend Remote Intelligence Analyst jobs in Phoenix, AZ are:

Weekend Remote Intelligence Analyst jobs near you

Business Intelligence Analyst- Data Engineering Specialist

Tigunia LLC

Phoenix, AZ • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago

Job description


Department/Division: Business Intelligence

Position Title: Business Intelligence Analyst

Area of Focus (Sub Team): Data Engineering Specialist

Position Location: Phoenix, Arizona (Remote)

Tigunia Core Values: To produce results, solve your problems with a sense of urgency, treat clients and co-workers with respect, and foster long-term relationships.

Position Description (Abstract):


Tigunia is seeking a technically focused Business Intelligence Analyst with a specialization in data engineering and warehouse modeling. This role is ideal for someone who enjoys building scalable data infrastructure, working with modern data tools, and developing clean, reliable models that power reporting and analytics. While the role is primarily technical, it also includes client-facing responsibilities, including leading smaller engagements and collaborating with stakeholders to ensure solutions meet business needs.

You will work closely with internal teams and clients as a consultant to design and implement integrated data warehouse models, develop transformation logic in Python and SQL, and support reporting platforms like Power BI, Tableau, and Jet Reports. This is a hands-on role requiring strong communication skills, technical depth, and a passion for clean, maintainable solutions.

Key Responsibilities:

  • Design and implement scalable, integrated data warehouse models incorporating data from Business Central and other sources
  • Develop and maintain data pipelines using Python, SQL, and modern ETL tools
  • Lead smaller client engagements, including requirements gathering and solution delivery
  • Collaborate with reporting specialists to ensure data models support business KPIs and visualization needs
  • Define and document transformation logic, data mappings, and warehouse specifications, adhere to modeling standards and governance practices
  • Support report development in Power BI and Jet Reports as needed
  • Troubleshoot data quality issues and optimize performance of data models
  • Use GitHub for version control, collaboration, and documentation of data engineering workflows

Ideal Candidate Profile:

  • Strong technical problem-solver with a passion for data architecture and engineering
  • Comfortable working independently and managing priorities across multiple projects
  • Experienced in client engagement and capable of leading smaller projects
  • Detail-oriented and committed to producing clean, well-documented solutions


Required Skills & Experience:

  • 4+ years of experience in data engineering, BI development or related roles
  • Experience with ERP data structures and warehouse modeling
  • Proficiency in Python and SQL for data transformation and analysis
  • Strong experience with Mage.AI, dbt, Microsoft SQL Server, Snowflake, or Microsoft Fabric
  • Experience using GitHub for version control, collaboration, and workflow management
  • Strong understanding of dimensional modeling and the Kimball methodology
  • Experience with documentation, versioning, and data governance practices


Bonus Qualifications:

  • Previous experience as a Business Intelligence (BI) Consultant, with strong understanding of analytics and reporting
  • Hands-on experience with data governance and metadata management tools, such as: Microsoft Purview, DataHub, OpenMetadata, or Apache Atlas
  • Familiarity with Microsoft Business Central and its data structure
  • Exposure to various reporting platforms such as: Tableau, Domo, Sigma, Superset, etc.


Current Example of Benefits:

  • Competitive salary
  • Health insurance for yourself and your family – 100% employer paid for employee and 50% employer paid for dependents
  • Dental and Vision insurance for yourself and your family – 100% employer paid for employee and dependents
  • Life/AD&D Insurance for yourself – 100% employer paid and covers 100% of your salary
  • Short Term Disability for yourself – 100% employer paid and covers 60% of your weekly salary
  • Long Term Disability for yourself – 100% employer paid and covers 60% of your monthly salary
  • 401k with 4% match
  • Flex-time and paid time off to promote a healthy work-life balance


Tigunia provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, or other non-merit-based factors.