Crime Analytics Detective | Investigations & Intelligence

Town of Matthews

Matthews (NC)

On-site

USD 62,000 - 79,000

Full time

3 days ago
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Benefits offered by this job

Medical insurance
Retirement plan
Tuition reimbursement
Paid parental leave
Dental & vision

Job summary

The Town of Matthews seeks a Police Detective (Crime Analyst) to analyze crime patterns, trends, and data to support investigations and patrol deployment. The role emphasizes producing actionable intelligence and collaborating with local, state, and federal partners.

Applicants must meet strict background standards and hold or be eligible for NC law enforcement certification. A strong emphasis on GIS and data-driven decision-making is required.

Qualifications

  • High school diploma or equivalent required by date of employment.
  • Two years of experience as a full-time sworn officer or equivalent.
  • Associate’s degree or higher preferred in related field.

Responsibilities

  • Perform tactical and strategic crime analysis to identify patterns and hotspots.
  • Prepare analytical products: bulletins, maps, graphs, and summaries for investigations.
  • Develop and present intelligence briefings to command staff and personnel.
  • Support resource deployment and directed patrol through data-driven recommendations.
  • Coordinate with prosecutors and partner agencies to exchange information.
  • Conduct preliminary investigations and assist in offender apprehension and case closure.

Skills

Crime analysis
Communication skills
Interview & interrogation

Education

High school diploma
Associate’s degree preferred

Tools

GIS
Law enforcement databases

Job description

The Town of Matthews seeks a Police Detective (Crime Analyst) to analyze crime patterns, trends, and data to support investigations and patrol deployment. The role emphasizes producing actionable intelligence and collaborating with local, state, and federal partners.

Applicants must meet strict background standards and hold or be eligible for NC law enforcement certification. A strong emphasis on GIS and data-driven decision-making is required.

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