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Remote Crime Analyst Jobs in Fulton, NY (NOW HIRING)

YO AI Labs

Data Privacy Analyst - Remote

Phoenix, NY · Remote

$31 - $60/hr

Data Privacy Analyst Job Type: Contractor Location: Remote Job Overview We are seeking experienced Data Privacy Analysts to support a data privacy and AI training project focused on protecting ...

All JobsCrime Analyst JobsRemote Crime Analyst JobsRemote Crime Analyst Jobs in Fulton, NY

Remote Crime Analyst information

See Fulton, NY salary details

$29K

$57.2K

$89.2K

How much do remote crime analyst jobs pay per year?

As of Sep 9, 2026, the average yearly pay for remote crime analyst in Fulton, NY is $57,157.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,500.00 and $69,000.00 per year, depending on experience, location, and employer.

What is a remote crime analyst?

A Remote Crime Analyst collects, analyzes, and interprets crime data to identify patterns, trends, and potential threats, all while working from a remote location. They use various data sources, mapping software, and statistical tools to assist law enforcement agencies in crime prevention and investigation. Their responsibilities may include preparing reports, creating visualizations, and providing insights to support decision-making. Strong analytical skills, attention to detail, and proficiency with crime analysis software are essential for success in this role.

What does a remote crime analyst do?

A typical workday for a Remote Crime Analyst involves reviewing crime reports, analyzing data trends, and preparing detailed reports or presentations for law enforcement agencies. You may utilize specialized mapping and statistical tools to identify patterns and produce actionable intelligence. Regular virtual meetings and collaboration with detectives, officers, or other analysts are common, ensuring insights are effectively communicated to support ongoing investigations. While much of the work is independent and research-focused, strong collaboration and responsiveness are essential for meeting deadlines and adapting to urgent analytical requests.

What skills and qualifications are needed to be a remote crime analyst?

To thrive as a Remote Crime Analyst, you need a solid background in criminology, statistics, data analysis, and investigative techniques, typically supported by a relevant degree in criminal justice or a related field. Familiarity with crime mapping software (e.g., ArcGIS), analytical tools (e.g., Excel, SPSS), and law enforcement databases is crucial, and certifications like the Certified Crime Analyst (CCA) can be advantageous. Attention to detail, strong written and verbal communication, and the ability to work independently while meeting deadlines are key soft skills. These competencies are vital for accurately interpreting criminal trends, collaborating virtually with law enforcement teams, and contributing effectively to investigations from a remote setting.

What are the most commonly searched types of Crime Analyst jobs in Fulton, NY?

The most popular types of Crime Analyst jobs in Fulton, NY are:

What are popular job titles related to Remote Crime Analyst jobs in Fulton, NY?

For Remote Crime Analyst jobs in Fulton, NY, the most frequently searched job titles are:

What cities near Fulton, NY are hiring for Remote Crime Analyst jobs?

Cities near Fulton, NY with the most Remote Crime Analyst job openings:

Remote Crime Analyst jobs near you
Infographic showing various Remote Crime Analyst job openings in Fulton, NY as of September 2026, with employment types broken down into 81% Full Time, and 19% Part Time. Highlights an 100% Remote job distribution, with an average salary of $57,157 per year, or $27.5 per hour.

Data Privacy Analyst - Remote

Phoenix, NY • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$31 - $60/hr

Full-time

Posted 16 days ago

Job description

Data Privacy Analyst

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Data Privacy Analysts to support a data privacy and AI training project focused on protecting sensitive information. In this role, you will review transformed datasets and documents, identify improperly handled Personally Identifiable Information (PII), and perform detailed quality checks to ensure privacy standards are consistently maintained.

Key Responsibilities
  • Conduct spot-checks of transformed datasets to verify proper redaction, masking, or anonymization of PII.
  • Review documents and datasets for sensitive or personally identifiable information.
  • Identify missed, incorrectly handled, or improperly redacted sensitive data.
  • Evaluate data against established privacy and quality standards.
  • Document discrepancies, findings, and observations using provided tools and templates.
  • Provide clear and actionable feedback to improve data privacy and review quality.
  • Maintain confidentiality and accuracy when working with sensitive information.
Required Qualifications
  • Strong understanding of PII, data privacy, and information protection practices.
  • Experience with document review, quality assurance, eDiscovery, or compliance processes.
  • Strong attention to detail and ability to identify subtle data privacy issues.
  • Experience working with sensitive or confidential information.
  • Strong analytical and written communication skills.
  • Ability to perform repetitive and detailed spot-checks while maintaining consistent accuracy.
  • Comfortable working independently in a remote environment.
Preferred Qualifications
  • Background as a Paralegal, eDiscovery Specialist, Privacy Analyst, Information Governance Specialist, Compliance Manager, or Legal Document Review Lead.
  • Experience with legal document review, litigation support, or managed legal services.
  • Familiarity with data privacy regulations and compliance requirements.
  • Experience with contract review or legal quality assurance.
  • Experience working in high-stakes environments involving sensitive data.
Core Skills

PII | Data Privacy | Document Review | Spot Checks | eDiscovery | Quality Assurance | Data Redaction | Data Anonymization | Compliance | Attention to Detail | Sensitive Data Handling