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Entry Level Crime Data Analyst Jobs in Raleigh, NC

Data Analyst

Raleigh, NC · On-site

$27 - $28/hr

Data Analytics / Data Engineer Contractor This role supports two major system overhaul projects and ... Open to entry-level through senior candidates; no minimum or maximum years of experience required ...

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Data Migration - Analyze data from external and legacy systems to understand structure and quality ... Must be able to pass both Department of Defense and corporate criminal background checks and drug ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry-Level Research Associate Location: Chapel Hill, NC Position Type: This is a full-time, hybrid ... Analytical Thinking: Ability to think critically and analyze data to derive meaningful insights

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Entry Level Crime Data Analyst information

See Raleigh, NC salary details

$12

$32

$60

How much do entry level crime data analyst jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for entry level crime data analyst in Raleigh, NC is $32.01, according to ZipRecruiter salary data. Most workers in this role earn between $20.58 and $35.77 per hour, depending on experience, location, and employer.

What does an entry level crime data analyst do?

An Entry Level Crime Data Analyst assists law enforcement agencies by collecting, analyzing, and interpreting crime-related data. Their primary responsibilities include organizing crime reports, identifying trends or patterns, and preparing statistical summaries to help inform policing strategies. They often use software tools to map crime locations or forecast future hotspots. This role provides crucial support for decision-making within police departments and helps improve public safety through data-driven insights.

What are the key skills and qualifications needed to thrive as an entry level crime data analyst?

To thrive as an Entry Level Crime Data Analyst, you generally need proficiency in data analysis, statistics, and a relevant bachelor's degree such as criminology, criminal justice, or data science. Familiarity with analytical tools like Excel, SPSS, or GIS mapping software, and sometimes certifications in data analytics, is typically required. Strong attention to detail, critical thinking, and effective communication skills help analysts interpret data trends and present findings clearly. These skills are vital for producing accurate crime reports and supporting law enforcement in informed decision-making.

What are some common challenges faced by entry level crime data analysts when working with law enforcement data?

Entry level crime data analysts often encounter challenges such as dealing with incomplete or inconsistent data, learning to use specialized law enforcement databases, and ensuring data privacy compliance. Additionally, interpreting complex datasets to identify patterns requires strong analytical skills and attention to detail. Collaboration with officers and detectives is common, so developing effective communication skills to translate data findings into actionable insights is essential for success in this role.

What are the most commonly searched types of Crime Data Analyst jobs in Raleigh, NC?

The most popular types of Crime Data Analyst jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Entry Level Crime Data Analyst jobs?

Cities near Raleigh, NC with the most Entry Level Crime Data Analyst job openings:

$27 - $28/hr

Other

Posted 7 days ago


Job description

Location: Raleigh, NC Salary: $27.00 USD Hourly - $28.00 USD Hourly Description: Our client is currently seeking a Data Analyst
Job Summary: Data Analytics / Data Engineer Contractor
This role supports two major system overhaul projects and is expected to last at least 6 months, likely closer to 12 months. The manager is seeking someone who can quickly learn the organization's systems, become an independent contributor, and provide support across data analytics, automation, and reporting initiatives.
Additional Details
  • Interview Process: Typically one 45-minute virtual interview (sometimes 30 minutes). A second round may occur if needed.
  • Work Schedule: Hybrid, 2 days onsite and 3 days remote.
  • Experience Level: Open to entry-level through senior candidates; no minimum or maximum years of experience required if skills and education align.
  • Industry Experience: No specific industry background required.

Key Responsibilities
  • Develop and execute SQL queries for data analysis and reporting.
  • Work within Snowflake to access, manage, and analyze data.
  • Build and maintain automation scripts using Python.
  • Utilize Databricks for data processing and scripting activities (nice-to-have, can be learned if strong Python skills are present).
  • Create dashboards and data visualizations using Power BI.
  • Support large-scale system modernization projects.
  • Communicate effectively with team members and stakeholders.
  • Quickly learn business processes, systems, and project requirements.

Required Skills
  1. SQL (Non-Negotiable)
    • Strong SQL querying experience is essential.
    • Snowflake experience is preferred, but strong SQL skills can substitute since Snowflake is heavily SQL-based.
  2. Python (Non-Negotiable)
    • Used for automation and scripting.
    • Strong to advanced Python skills are highly preferred.
  3. Power BI
    • Dashboard development and data visualization.
    • Experience with DAX is beneficial.

Preferred Skills
  • Snowflake
  • Databricks
  • Experience with automation and data engineering workflows.
  • Strong analytical and problem-solving abilities.

Soft Skills
  • Excellent communication skills.
  • Fast learner who can ramp up quickly.
  • Ability to work independently after initial onboarding.
  • Strong collaboration skills.

Education Requirements
  • Minimum Bachelor's Degree in:
    • Computer Science
    • Computer Engineering
    • Industrial Engineering
    • Or a related technical discipline

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