1

Police Data Analyst Jobs (NOW HIRING)

Overview The Enterprise Solutions SAP Data Services Senior Analyst role is responsible for ... Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance ...

Overview The Enterprise Solutions SAP Data Services Senior Analyst role is responsible for ... Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance ...

Overview The Enterprise Solutions SAP Data Services Senior Analyst role is responsible for ... Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance ...

DEPARTMENT: Police Department POSITION: Chief of Police DIVISION: Administration STATUS ... Evaluate departmental performance through data analysis, performance metrics, and outcome-based ...

DEPARTMENT: Police Department POSITION: Chief of Police DIVISION: Administration STATUS ... Evaluate departmental performance through data analysis, performance metrics, and outcome-based ...

Crime Analyst

Springfield, MA · On-site

$65K - $85K/yr

Provides communication and acts as primary contract between Gaming Unit (MGM) and Springfield Police Department. Creates GIS maps displaying spatial data and performs spatial data analysis. Utilizes ...

next page

Showing results 1-20

Police Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do police data analyst jobs pay per year?

As of Jul 15, 2026, the average yearly pay for police data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is a police data analyst?

A police data analyst is a professional who collects, analyzes, and interprets crime and law enforcement data to support decision-making and improve public safety. They often use statistical tools and software to identify patterns, trends, and areas needing attention, working closely with law enforcement agencies. Strong analytical skills, knowledge of data management, and familiarity with crime analysis software are essential for this role.

What are the key skills and qualifications needed to thrive as a Police Data Analyst, and why are they important?

To thrive as a Police Data Analyst, you need strong analytical skills, proficiency in statistical methods, and a background in criminal justice, data science, or a related field. Familiarity with data analysis tools like Excel, SQL, GIS mapping software, and sometimes certifications in data analytics or crime analysis is typically required. Attention to detail, critical thinking, and effective communication are essential soft skills for interpreting complex data and presenting actionable insights. These skills are vital for supporting law enforcement decision-making, identifying crime trends, and improving public safety outcomes.

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

AspectPolice Data AnalystCrime Analyst
Required CredentialsBachelor's in Criminal Justice, Data Analysis, or related field; proficiency in data softwareBachelor's in Criminal Justice, Sociology, or related; strong analytical skills
Work EnvironmentLaw enforcement agencies, police departmentsLaw enforcement, public safety agencies, government offices
Employer & Industry UsagePolice departments, law enforcement agenciesCrime prevention units, law enforcement agencies
Common Search & ComparisonYesYes

Police Data Analysts focus on analyzing law enforcement data to support police operations, while Crime Analysts primarily study crime patterns to assist in crime prevention strategies. Both roles require similar educational backgrounds and work within law enforcement environments, often overlapping in their responsibilities and employer types.

What field is the highest paid data analyst?

Data analysts working in finance, technology, and consulting tend to have the highest salaries, especially those with expertise in advanced analytics, machine learning, and programming skills. Specializing in these industries and acquiring certifications like CFA or advanced data tools can lead to higher compensation.

How to become a crime data analyst?

To become a police data analyst, typically a bachelor's degree in criminal justice, statistics, or a related field is required. Developing skills in data analysis software such as SQL, Excel, or specialized tools like SAS or SPSS, along with knowledge of crime patterns and law enforcement procedures, is essential. Gaining experience through internships or entry-level positions can also improve job prospects.

How much do FBI data analysts make?

FBI data analysts typically earn between $60,000 and $100,000 annually, depending on experience, education, and location. Entry-level positions may start lower, while experienced analysts with specialized skills or certifications can earn higher salaries. Salary ranges can also vary based on federal pay scales and job responsibilities.

How does a Police Data Analyst typically collaborate with law enforcement officers and other departments?

Police Data Analysts work closely with law enforcement officers, detectives, and administrative staff to gather, analyze, and interpret crime data. They frequently participate in cross-departmental meetings to present findings, provide actionable insights, and support ongoing investigations. This role often requires translating complex data into easy-to-understand reports and visualizations to aid decision-making and policy development. Strong communication and teamwork skills are essential, as analysts must balance technical analysis with the practical needs of officers in the field.
More about Police Data Analyst jobs
What cities are hiring for Police Data Analyst jobs? Cities with the most Police Data Analyst job openings:
What states have the most Police Data Analyst jobs? States with the most job openings for Police Data Analyst jobs include:
What job categories do people searching Police Data Analyst jobs look for? The top searched job categories for Police Data Analyst jobs are:
Infographic showing various Police Data Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Security Data Science Specialist

MTA Headquarters

New York, NY

$89K - $100K/yr

Full-time, Part-time

Re-posted 4 days ago


Job description

JOB TITLE:
Security Data Science Specialist
DEPT/DIV:
Security
SUPERVISOR:                    
Director, Data Info & Analysis
WORK LOCATION:
2 Broadway, New York, NY 10004
HOURS OF WORK:
8:00 am - 4:30 pm (7.5 hours/day) or as required
FULL/PART-TIME
FULL
SALARY RANGE:
$89,404 - $100,582
DEADLINE:
Until filled
 
This position is eligible for telework, which is currently one day per week. New hires are eligible to apply 30 days after their effective date of hire.
Opening:
The Metropolitan Transportation Authority is North America's largest transportation network, serving a population of 15.3 million people across a 5,000-square-mile travel area surrounding New York City, Long Island, southeastern New York State, and Connecticut. The MTA network comprises the nation’s largest bus fleet and more subway and commuter rail cars than all other U.S. transit systems combined. MTA strives to provide a safe and reliable commute, excellent customer service, and rewarding opportunities.
Job Summary:
The security data science specialist within MTA HQ's Office of Security will be tasked with collecting and utilizing highly sensitive police and security data, information, and intelligence sets from all MTA Police and Security operating departments. This will include incident reports, surveillance footage, threat assessments, and criminal records. This data will be meticulously compiled, validated, and analyzed to identify critical security trends, emerging threats, and operational vulnerabilities, thereby supporting a comprehensive, risk-based approach to all MTA and Security Operations.
The primary duties of the incumbent will be focused on data gathering, transformation, synchronization, and modeling. This work will require experience in languages such as SQL and Python, as well as supporting the design and deployment of robust data architecture and analytics strategies tailored to diverse datasets and complex analytical challenges. Responsibilities include working on detailed record-keeping processes, conducting advanced data analysis, preparing comprehensive reports, and developing actionable, data-driven strategies aligned with worldwide, regional, and local security, law enforcement, terrorism, and crime prevention initiatives.
The role requires a detail-oriented, proactive approach, with the ability to manage assigned priorities under strict deadlines while providing excellent communication skills to present findings to both technical and nontechnical audiences.
Responsibilities:
  • Writing code that will combine and transform datasets to meet a specific Security & Police need.
  • Design and implement quality controls to ensure output data is valid, accurate, and user-friendly. Coordinating with internal and external police and/or security data leads to addressing data quality problems. Enhance the quality and usability of legacy datasets and systems that may be lacking in compatibility or common field types.
  • Developing reports and dashboards in a variety of formats (Excel, Power BI, Report Builder, ArcGIS, automated emails, etc.) to share finished analysis with stakeholders.
  • Lead specific data team projects/recurring tasks such as monitoring, analyzing, synthesizing, and reporting on confidential and sensitive open-source and police, intelligence, and security information sources to inform the overall MTA security strategy.
  • Utilize internal systems, tools, and processes to record and track MTA security incident data to identify trends and patterns. Suggest methods to ensure data integrity and improve data collection, processes, and presentation.
  • Collaborate with stakeholders and leadership to understand reporting needs and design outputs to achieve them. Produce the final design and workflows in consultation with senior managers. Outline project requirements and problems as action plans that can be assigned to more junior team members. Ensure project process and outputs are properly documented for continuity and presentation to Senior Security Management.
  • Providing support and instruction (in both business knowledge and coding practices) to analysts and consultant staff.
  • Keeping skills current by learning new algorithms, programming languages, and techniques.
 
Required Knowledge/Skills/Abilities:
  • Proficiency in data management, including knowledge of statistics, quantitative and qualitative data analysis, empirical research methods and procedures such as sampling and surveying techniques, and analytical skills. Additionally, they will have the capability to stay current with technical innovation and trends in data science.
  • Experience in developing and analyzing algorithms, dashboards, and/or predictive models to support security and/or policing functions and investigative methodologies.
  • Proven ability to manage team-based projects, completing both short-term and long-term initiatives efficiently and effectively. Experience in documenting processes and quality checks.
  • Strong skills in database design and management with the ability to read code and interpret data.
  • Demonstrated proficiency with data processing, statistical software and management support tools, including Microsoft Office Suite or comparable applications, advanced Excel analysis, and business intelligence tools (e.g., Power BI, Tableau).
  • Experience in supervising staff performing analytical duties.
  • Familiarity with transportation systems and planning theory & practice, particularly the MTA subway, bus, and railroad networks.
 
Required Education and Experience:
  • Bachelor’s Degree in Arts/Sciences (BA/BS) in Security, Criminal Justice, Homeland Security, Mathematics, Psychology, Sociology, Public Administration, Computer Science, Engineering, Information Management, Statistics, Data Science, Data Engineering, Mathematics, Public Policy or a related field from an accredited college or an equivalent combination of education from an accredited college and experience may be considered in lieu of a degree.
  • Minimum 3 years of professional experience in data, information, and analysis or performing statistical analysis and research, analyzing data, developing recommendations, implementing strategies, and preparing reports with similar programming and data management content. A master’s degree may substitute for one year of experience.
  • Minimum 3 years of professional experience building datasets, automating tasks through scripts, writing database queries, and debugging/ maintaining code.
  • Minimum 4 years of experience with Python and SQL programming.
  • Minimum 3 years of experience with relational databases (e.g., Oracle, Postgres, SQL Server), including writing queries (generally with PL/SQL) to obtain and manipulate data.
  • A valid driver's license is required.
The Following is/are preferred:
  • Master’s degree in Arts/Sciences (MA/MS) in Security, Criminal Justice, Homeland Security, Mathematics, Psychology, Sociology, Public Administration, Computer Science, Engineering, Information Management, Statistics, Data Science, Data Engineering, Mathematics, Public Policy or a related field from an accredited college. A Master's degree can account for one year of related experience.
  • Demonstrated experience meeting report filing deadlines for analysis reports with recommendations, strategy implementations, and statistical findings at an executive level, interpersonal, organizational, and presentation skills with the ability to think at a policy and strategic level.
  • A working knowledge of project management principles and/or data analysis, predictive analytics, and experience in their application is desirable.
  • A working knowledge and understanding of the following are highly desirable: Federal, State, and NYC security and penal regulations and laws.
  • Familiarity with the MTA’s policies and procedures.
  • Familiarity with the MTA’s collective bargaining procedures.
  • Familiarity with data exploration/data visualization tools like Tableau, Power BI, Web Focus, etc.
  • Familiarity with GIS mapping of data or equivalent geospatial application.
 
Other Information
May need to work outside of normal w