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Trainee Crime Data Analyst Jobs (NOW HIRING)

City of Haines City

Crime Analyst

Haines City, FL · On-site

This position collects, analyzes, and interprets crime data, intelligence, and related information to identify crime patterns, trends, and offender activity. The incumbent prepares analytical reports ...

City of Haines City

Crime Analyst

Haines City, FL · On-site

$26.44 - $38.30/hr

This position collects, analyzes, and interprets crime data, intelligence, and related information to identify crime patterns, trends, and offender activity. The incumbent prepares analytical reports ...

City of Haines City

Crime Analyst

Haines City, FL · On-site

$26.44 - $38.30/hr

This position collects, analyzes, and interprets crime data, intelligence, and related information to identify crime patterns, trends, and offender activity. The incumbent prepares analytical reports ...

Technology Company

Criminal Data Analyst

Fairfax, VA · On-site

About the Role We're hiring a Criminal Data Analyst to review and validate criminal record data. You'll QA records for accuracy, run test cases against data sources, and flag patterns that signal ...

SiloSmashers

Data Analyst- WV

Clarksburg, WV · On-site

Role Summary Provides hands-on data review, quality checks, ingestion validation, and routine analytic support for national crime-reporting datasets. Works closely with program staff to ensure data ...

SiloSmashers

Data Analyst- WV

Clarksburg, WV · On-site

Role SummaryProvides hands-on data review, quality checks, ingestion validation, and routine analytic support for national crime-reporting datasets. Works closely with program staff to ensure data ...

City of Lewisville

Crime Analyst

Lewisville, TX · On-site

$58K - $65K/yr

Performs data analysis and reports crime statistics, patterns, and trends by extracting and interpreting data regarding criminal activity from internal and external reports and databases. Reviews ...

SiloSmashers

Data Analyst- WV

Clarksburg, WV · On-site

Role Summary Provides hands-on data review, quality checks, ingestion validation, and routine analytic support for national crime-reporting datasets. Works closely with program staff to ensure data ...

City of Rockwall

CRIME ANALYST

Rockwall, TX

$28.60 - $38.11/hr

Examples of Essential Functions Uses intelligence data to assist with tactical assessments and ... Performs a variety of analytical duties related to crime and law enforcement statistics in support ...

BARTCA

Crime Analyst

CA · On-site

$95K - $114K/yr

The current assignment is focused on advancing intelligence-led policing, data-driven decision making, and strategic crime analysis to support BART's mission of providing safe, reliable, and ...

Pueblo County

Crime and Data Analyst

Pueblo, CO · On-site

$5.3K - $8.0K/mo

POSITION SUMMARY Under limited supervision of the administrative captain and/or command staff members, the Crime and Data Analyst develops, analyzes, and maintains systems to extract data from law ...

Hays County

Crime Analyst

San Marcos, TX · On-site

$50K - $59K/yr

The Crime Analyst affects the physical well-being of the citizens of Hays County and the employee ... Responsibilities Collects, collates, analyzes, evaluates, and disseminates crime data through ...

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Trainee Crime Data Analyst information

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$22.5K

$88.7K

$144K

How much do trainee crime data analyst jobs pay per year?

As of Aug 21, 2026, the average yearly pay for trainee crime data analyst in the United States is $88,664.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $108,500.00 per year, depending on experience, location, and employer.

What does a trainee crime data analyst do?

A Trainee Crime Data Analyst assists in collecting, analyzing, and interpreting crime-related data to help law enforcement agencies identify trends and patterns. They typically work under the supervision of experienced analysts, using statistical software and databases to produce reports that inform policing strategies. Responsibilities may include data entry, creating visualizations, and supporting investigations with evidence-based insights. This role is ideal for those with strong analytical skills and an interest in public safety.

What are the key skills and qualifications needed to thrive as a trainee crime data analyst?

To thrive as a Trainee Crime Data Analyst, you generally need strong analytical skills, attention to detail, and a foundation in statistics or criminology, often supported by a relevant degree. Familiarity with data analysis tools such as Microsoft Excel, SQL, and geographic information systems (GIS), as well as an understanding of crime data systems, is typically required. Effective communication, problem-solving abilities, and teamwork are valuable soft skills that help you interpret and present findings clearly. These skills and qualities are essential for accurately analyzing crime patterns, supporting investigations, and informing law enforcement strategies.

What are some common challenges faced by trainee crime data analysts in their first year?

Trainee crime data analysts often face challenges such as learning to interpret complex datasets, adapting to specialized software, and understanding law enforcement protocols. Balancing accuracy with timely reporting can also be demanding, especially when working with sensitive or incomplete information. Additionally, collaborating effectively with experienced analysts and police officers is essential, as you'll need to communicate findings clearly to diverse audiences. With ongoing mentorship and training, most trainees build confidence and proficiency within their first year.

What is the difference between Trainee Crime Data Analyst vs Crime Data Analyst?

AspectTrainee Crime Data AnalystCrime Data Analyst
QualificationsEntry-level, often requiring a degree in criminology, statistics, or related fieldsTypically requires experience or advanced skills in data analysis and criminology
Work EnvironmentTraining programs, supervised tasks, entry-level data handlingIndependent analysis, reporting, and decision-making
ResponsibilitiesAssisting with data collection, basic analysis, learning tools and methodsInterpreting crime data, creating reports, providing insights for law enforcement

The Trainee Crime Data Analyst is an entry-level role focused on learning and assisting with data tasks under supervision, while the Crime Data Analyst is a more experienced position responsible for independent analysis and reporting. The trainee role is ideal for those starting their career, whereas the analyst role requires more expertise and experience in crime data analysis.

Are crime data analysts in high demand?

Crime data analysts are in growing demand due to increased focus on public safety and data-driven decision making. Employers in law enforcement, government agencies, and private security seek professionals skilled in data analysis, statistical tools, and crime mapping, making this a promising career with steady job opportunities.

How to become a trainee crime data analyst?

To become a trainee crime data analyst, candidates typically need a bachelor's degree in criminology, statistics, data science, or a related field. Developing skills in data analysis tools such as Excel, SQL, or Python, and gaining experience with crime data sets or statistical software can improve prospects. Entry-level positions may also require strong analytical skills, attention to detail, and the ability to interpret complex data.

What cities are hiring for Trainee Crime Data Analyst jobs?

Cities with the most Trainee Crime Data Analyst job openings:

What are the most commonly searched types of Crime Data Analyst jobs?

The most popular types of Crime Data Analyst jobs are:

What states have the most Trainee Crime Data Analyst jobs?

States with the most job openings for Trainee Crime Data Analyst jobs include:

Trainee Crime Data Analyst jobs near you

Financial Crime Data Analyst & Governance

City National Bank of Florida

Coral Gables, FL • On-site

Full-time

Posted 15 days ago

Job description

Overview
The Financial Crime Data Analyst & Governance position is responsible for designing, developing, and maintaining data governance, analytics, reporting, and business intelligence solutions supporting the Financial Crime Prevention (FCP) Program, including BSA/AML, OFAC, Fraud, Customer Due Diligence (CDD), Enhanced Due Diligence (EDD), Customer Risk Management, Transaction Monitoring, Case Management, and Regulatory Reporting functions.
This role serves as the primary liaison between Financial Crime Prevention, Information Technology, Enterprise Data & Analytics, Operations, and third-party solution providers to ensure data integrity, governance, automation, and optimization of financial crime systems and reporting. The position is responsible for maintaining data lineage and mapping documentation, developing automated reporting solutions, supporting system implementations and enhancements, monitoring data quality, and providing actionable analytics to support executive management, regulatory examinations, audits, and strategic decision-making.
The Financial Crime Data Analyst & Governance professional assists in evaluating data quality, reporting methodologies, system functionality, and operational efficiencies to strengthen the Bank's Financial Crime Prevention Program and support regulatory excellence.
What You'll Do:
Financial Crime Analytics & Reporting
  • Design, develop, maintain, and enhance analytics and reporting solutions supporting BSA/AML, OFAC, Fraud, Customer Risk Management, EDD, Transaction Monitoring, and Case Management functions.
  • Develop and maintain automated dashboards, scorecards, visualizations, Key Risk Indicators (KRIs), Key Performance Indicators (KPIs), and management reports utilizing business intelligence tools.
  • Produce recurring and ad hoc reports as needed to support executive management, Board reporting, regulatory examinations, audits, and operational management.
  • Perform trend analysis, root cause analysis, and statistical assessments to identify emerging financial crime risks, operational challenges, and improvement opportunities.
  • Translate analytical findings into executive-ready presentations, dashboards, and actionable recommendations.

Fraud Analytics & Financial Crime Intelligence
  • Develop and maintain analytical reporting related to fraud trends, fraud losses, account takeover activity, elder financial exploitation, mule activity, check fraud, ACH fraud, wire fraud, digital fraud, and emerging financial crime typologies.
  • Partner with Fraud Director and business stakeholders to identify suspicious trends and recommend enhancements to fraud detection strategies and controls.
  • Support fraud rule optimization, model performance monitoring, and detection effectiveness reporting.
  • Analyze internal and external data sources to support proactive identification of financial crime risks.

Data Governance & Quality Management
  • Maintain the Financial Crime Prevention data governance framework, including data inventories, data dictionaries, business definitions, source systems, reporting calculations, and lineage documentation.
  • Establish and maintain data quality standards, controls, reconciliations, and exception monitoring processes.
  • Conduct periodic reviews to ensure accuracy, completeness, consistency, and integrity of data utilized within Financial Crime Prevention systems and reporting processes.
  • Investigate data quality issues, coordinate remediation efforts, and track resolution of identified deficiencies.
  • Maintain documentation supporting governance, audit, regulatory, and model validation requirements.

System Integration, Data Mapping & Technology Support
  • Lead business-side data mapping initiatives supporting Financial Crime applications, including transaction monitoring, sanctions screening, fraud detection, customer risk rating, and case management platforms.
  • Collaborate with Technology, Enterprise Data & Analytics, Operations, and vendors to design, validate, and optimize source-to-target data mappings.
  • Participate in system implementations, upgrades, conversions, data migrations, and enhancement projects.
  • Support user acceptance testing (UAT), data validation, reconciliation activities, and post-implementation monitoring.
  • Maintain system inventories, data flow diagrams, reporting inventories, issue logs, and technology governance documentation.
  • Serve as subject matter expert for Financial Crime data flows and data architecture.

Reporting Automation & Process Optimization
  • Identify, evaluate, and implement opportunities to automate reporting, data collection, reconciliations, and operational processes across the Financial Crime Prevention Program.
  • Partner with Financial Crime Prevention management, Information Technology and Data teams to develop automated data feeds, reporting solutions, workflows, and integrations.
  • Utilize advanced analytics, business intelligence tools, artificial intelligence, robotic process automation, and emerging technologies to improve operational effectiveness and reporting efficiency.
  • Support initiatives focused on reducing manual effort, improving data accuracy, and enhancing program scalability.

Regulatory, Audit & Risk Support
  • Support OCC examinations, regulatory reviews, internal audits, external audits, and model validation activities by providing reports, analytics, and supporting documentation.
  • Develop and maintain reporting supporting Enterprise-wide BSA/AML, Fraud, and OFAC Risk Assessments.
  • Assist with risk metric development, threshold monitoring, issue tracking, and remediation activities.
  • Ensure reporting methodologies and analytics remain aligned with evolving regulatory expectations and industry best practices.
  • Maintain thorough documentation of reporting assumptions, methodologies, controls, and governance processes.

Cross-Functional Partnership
  • Collaborate with Financial Crime Prevention leadership, Operations, Information Technology, Data & Analytics, Risk
  • Management, and business units to support strategic initiatives and operational objectives.
  • Act as a central point of contact for Financial Crime data, reporting, governance, and analytics-related inquiries.
  • Provide training, guidance, and support to stakeholders utilizing Financial Crime dashboards, reports, and analytical tools.
  • Participate in special projects and strategic initiatives supporting the continued maturity of the Financial Crime Prevention Program.

Qualifications
  • 5+ years of experience in Financial Crime, AML, Fraud, Risk Analytics, Data Analytics, Compliance Analytics, Business Intelligence, or related disciplines.
  • Experience supporting financial institutions, FinTechs, regulatory compliance functions, or financial crime prevention programs.
  • Experience supporting transaction monitoring platforms, sanctions screening solutions, fraud detection applications, customer risk rating systems, or case management platforms.
  • Experience with reporting automation, dashboard development, and business intelligence solutions.
  • Experience participating in system implementations, integrations, data migrations, and technology projects.
  • Experience supporting regulatory examinations, internal audits, external audits, or model validation activities.
  • Advanced knowledge of BSA/AML, OFAC, Fraud Prevention, Customer Due Diligence, and Financial Crime Risk Management principles.
  • Strong understanding of financial crime typologies, transaction monitoring, sanctions screening, and fraud detection methodologies.
  • Advanced proficiency with reporting, business intelligence, and analytics tools including Power BI, SQL, Excel, Tableau, SSRS, SAS, Python, or equivalent technologies.
  • Strong knowledge of data governance, data lineage, data mapping, and data quality management principles.
  • Experience developing dashboards, automated reporting solutions, and executive management reporting.
  • Ability to design, validate, and document data mappings and source-to-target transformations.
  • Strong analytical, critical thinking, problem-solving, and root cause analysis skills.
  • Ability to analyze large and complex data sets and translate findings into actionable business recommendations.
  • Strong project management and organizational skills with ability to manage multiple priorities simultaneously.
  • Excellent written and verbal communication skills with ability to present information to technical and non-technical audiences.
  • Strong stakeholder management and cross-functional collaboration capabilities.
  • Knowledge of Financial Crimes Screening, Client Risk Rating, Transaction Monitoring, and Case Management solutions (i.e., Actimize, Verafin, LexisNexis Risk Solutions) preferred.
  • Knowledge of artificial intelligence, machine learning, robotic process automation, and emerging analytics technologies preferred

Education
  • Bachelor's Degree in Business, Finance or related field.
  • An equivalent combination of education and/or relevant professional experience may be considered in lieu of a degree.

Special Instructions to Candidates
Equal Opportunity
City National Bank of Florida is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, national origin, age, disability, genetic information, protected veteran status, or any status protected by federal, state, or Florida law. We comply with the ADA and applicable Florida laws.
Interview Guidelines
To ensure a fair interview process, the use of AI wearables, AT tools, AI applications, or other external assistance is strickly prohibited.
Accommodations
If you require a reasonable accommodation to apply or participate in the hiring process, please contact our Talent Attraction team at talent.attraction@citynational.com

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