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Full Time Fbi Data Analyst Jobs in Raleigh, NC (NOW HIRING)

Hol-Dav Inc

Corporate Business Analyst

Raleigh, NC · On-site

On-site * Full-time * Monday - Friday, standard business hours, with flexibility during audits ... Review dealership financial statements, schedules, operating reports, and performance data.

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All JobsFbi Data Analyst JobsFull Time Fbi Data Analyst JobsFull Time Fbi Data Analyst Jobs in Raleigh, NC

Full Time Fbi Data Analyst information

See Raleigh, NC salary details

$33.1K

$80.3K

$132.2K

How much do full time fbi data analyst jobs pay per year?

As of Aug 14, 2026, the average yearly pay for full time fbi data analyst in Raleigh, NC is $80,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,300.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Fbi Data Analyst vs Full Time Fbi Intelligence Analyst?

AspectFull Time Fbi Data AnalystFull Time Fbi Intelligence Analyst
Required CredentialsBachelor's degree in data science, computer science, or related field; often requires security clearanceBachelor's degree in criminal justice, international relations, or related field; security clearance usually required
Work EnvironmentOffice setting, working with large datasets, data analysis toolsOffice environment, analyzing intelligence reports, collaborating with field agents
Employer & Industry UsageFederal government, law enforcement, intelligence communityFederal government, intelligence agencies, law enforcement

While both roles serve the FBI and require security clearance, Full Time Fbi Data Analysts focus on analyzing large datasets to support investigations, whereas Full Time Fbi Intelligence Analysts interpret intelligence reports to assess threats. Both positions are vital to national security but differ in their core functions and daily tasks.

How much do full time FBI data analysts make?

Full-time FBI data analysts typically earn between $70,000 and $110,000 annually, depending on experience, education, and location. They often require security clearances and proficiency with data analysis tools like SQL and Python, with salaries increasing for senior or specialized roles.

What are some common challenges faced by full time FBI data analysts in their daily work?

FBI Data Analysts often handle large volumes of complex data from multiple sources, which can make identifying trends and relevant information challenging. They must ensure data accuracy and security while working under tight deadlines to support ongoing investigations. Collaboration with special agents and other law enforcement personnel is frequent, requiring strong communication skills to translate technical findings into actionable intelligence. Adapting to rapidly evolving technology and analytical tools is also a key part of the role.

Does the FBI hire data analysts?

Yes, the FBI hires data analysts to support investigations and national security efforts. These roles typically require strong analytical skills, proficiency with data analysis tools, and security clearances. Data analysts at the FBI often work in a team environment and may need relevant certifications or experience in cybersecurity, intelligence, or related fields.

How do I join the full time FBI data analyst?

To become a full-time FBI data analyst, candidates typically need a bachelor's degree in a relevant field such as computer science, data analysis, or criminal justice, along with strong analytical skills and experience with data tools like SQL or Python. Applicants must pass a thorough background check, polygraph, and medical examination, and may need to complete FBI-specific training after hiring. Security clearance and adherence to agency requirements are essential for employment.

What is a full time FBI data analyst?

Full Time FBI Data Analysts are professionals employed by the Federal Bureau of Investigation to collect, process, and interpret data to support investigations and national security efforts. They analyze complex datasets, identify patterns, and provide actionable intelligence to FBI agents and decision-makers. These analysts play a critical role in counterterrorism, cybercrime, organized crime, and other investigative areas. They typically work regular hours but may need to respond to urgent situations or high-priority cases as needed.

What are the key skills and qualifications needed to thrive as a full time FBI data analyst?

To thrive as a Full Time FBI Data Analyst, you need strong analytical skills, attention to detail, and a background in statistics, criminal justice, or a related field, often supported by a relevant degree. Experience with data analysis tools like SQL, Python, Excel, and specialized law enforcement databases is typically required, along with possible security clearances. Critical thinking, discretion, and effective communication are essential soft skills for interpreting complex data and collaborating with investigative teams. These skills and qualities are crucial for producing accurate, actionable intelligence that supports investigations and national security.
Full Time Fbi Data Analyst jobs near you
Infographic showing various Full Time Fbi Data Analyst job openings in Raleigh, NC as of July 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $80,333 per year, or $38.6 per hour.

Cloud Data Architect (Full-time Remote, NC Based)

Alliance Health

Morrisville, NC • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago

Job description

The Cloud Data Architect is responsible for design and implementation of scalable enterprise-wide data architecture.  These responsibilities include optimizing data performance and accessibility, and ensuring data quality, integrity and security.

This position is full-time remote. Selected candidate must reside in North Carolina and be willing to travel to the home office (Morrisville, NC) for onsite team meetings as needed.

Responsibilities & Duties

Data Architecture Design and Modelling

  • Lead adoption of modern data architecture patterns and cloud-native solutions
  • Develop enterprise data management strategies including data lake/warehouse implementations, data movement, and data services
  • Enforce data quality, security, and consistency standards across enterprise data platforms
  • Establish data access patterns (serving layers, semantic models, APIs) to optimize downstream analytics and reporting
  • Participate in business analysis activities to elicit data product requirements

Enterprise Data Platform Strategy

  • Lead adoption of modern data architecture patterns and cloud-native solutions
  • Define future-state data architecture roadmaps aligned to organizational strategy and modernization initiatives
  • Develop enterprise data management strategies including data lake/warehouse implementations, data movement, and data services
  • Enforce data quality, security, and consistency standards across enterprise data platforms

Data Engineering Enablement

  • Define reference architectures, coding standards, and reusable patterns for data engineering teams 
  • Review and approve solution designs to ensure adherence to enterprise data architecture standards 
  • Provide technical mentorship and design guidance to engineers and analysts

Data Governance & Security

  • Participate in data governance council and provide input on data standards and policies to ensure data quality, security, and compliance
  • Collaborate with security and compliance teams to implement data classification, encryption, access controls, and audit logging
  • Ensure data architectures comply with HIPAA, and organizational data privacy standards

Stakeholder Collaboration & Communication

  • Capture end-user requirements and align technical solutions to strategic business objectives
  • Translate business needs into scalable, secure, and well-governed data architecture solutions
  • Provide architectural expertise and leadership guidance to data engineering teams

Minimum Requirements

Education & Experience

Bachelor’s degree in computer science or related field and at least five (5) years of experience working as a Cloud Data Architect with direct involvement and responsibilities for architecting an enterprise-scale data Lakehouse or data warehouse on a Microsoft Azure cloud platform, preferably in a healthcare setting.

The following technical certification (or comparable) is required:

• Databricks Certified Data Engineer Professional

The following technical certification (or comparable) is preferred:

• Azure Security Engineer Associate (AZ-500)

Knowledge, Skills, & Abilities

  • Architecting enterprise-scale Medallion data platforms on Microsoft Azure
  • Databricks Development and Administration
  • Data modeling: dimensional (Kimball), star/snowflake, and SCDs
  • Enterprise governance frameworks for data quality, lineage, and metadata
  • PySpark and SQL skills for scalable batch and streaming pipelines
  • Azure Data Services: ADLS Gen2, Data Factory, Synapse
  • DevOps, Git and CI/CD best practices
  • Architectural artifacts & documentation (e.g., technical specs, data models, policies, procedures, architecture diagrams)
  • Agile methodology and tools
  • HIPAA/HITECH compliance in cloud architectures
  • Technical leadership skills
  • Communication and organizational skills
  • Ability to work independently and in a team setting
  • Experience working with healthcare datasets

Employment for this position is contingent upon a satisfactory background and credit check, which will be performed after acceptance of an offer of employment and prior to the employee's start date. 

Salary Range 

$118-$150,872/Annually 

Exact compensation will be determined based on the candidate's education, experience, external market data and consideration of internal equity. 

An excellent fringe benefit package accompanies the salary, which includes:  

  • Medical, Dental, Vision, Life, Long Term Disability
  • Generous retirement savings plan
  • Flexible work schedules including hybrid/remote options
  • Paid time off including vacation, sick leave, holiday, management leave
  • Dress flexibility

Apply