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Crime Data Analyst Jobs in Rochester, NY (NOW HIRING)

Five Star Bank

BSA/AML Alert Analyst

Rochester, NY · On-site

$24 - $27/hr

Criminal Justice * Investigations -OR- Required: * Education: Associate Degree * Prior Experience ... Ability to identify trends, interpret data and apply to workflows, compliance techniques and ...

New York State

Student Assistant - 219717

Rochester, NY · On-site

$16 - $28/hr

Support analysts by conducting data entry and tracking crime trends, including stolen vehicles, burglaries, robberies, and larceny patterns. Assist with organizing and maintaining administrative and ...

Uncommon Schools

High School History Teacher

Rochester, NY · On-site

$50K - $64K/yr

... Data Analysis * You'll meet weekly with your principal and/or instructional coach to analyze and ... Academic expertise in Education, History, Geography, Political Science, Criminal Justice, Social ...

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All JobsCrime Data Analyst JobsCrime Data Analyst Jobs in Rochester, NY

Crime Data Analyst information

See Rochester, NY salary details

$33.6K

$81.6K

$134.2K

How much do crime data analyst jobs pay per year?

As of Jul 26, 2026, the average yearly pay for crime data analyst in Rochester, NY is $81,575.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Crime Data Analyst position, and why are they important?

To thrive as a Crime Data Analyst, you need strong analytical skills, attention to detail, and a solid educational background in criminal justice, statistics, or a related field. Familiarity with data analysis software such as SQL, SPSS, Excel, and geographic information systems (GIS) is typically required, and certifications in data analytics or crime analysis can be highly beneficial. Strong communication, critical thinking, and problem-solving abilities help you effectively share insights and collaborate with law enforcement teams. These skills and qualities are vital for accurately interpreting crime trends and supporting informed decision-making in public safety.

What is a Crime Data Analyst job?

A Crime Data Analyst collects, analyzes, and interprets crime data to identify patterns, trends, and correlations. They assist law enforcement agencies in making data-driven decisions to prevent and solve crimes. Their work involves using statistical tools, mapping software, and databases to track criminal activity and enhance public safety. Crime Data Analysts may also prepare reports, brief law enforcement officials, and help allocate resources efficiently.

What does a typical day look like for a Crime Data Analyst?

A typical day for a Crime Data Analyst involves collecting, cleaning, and analyzing crime data from various sources to identify patterns and trends. You'll prepare reports, dashboards, and visualizations to communicate findings to law enforcement officers, detectives, and leadership teams. Collaboration is common—you may participate in meetings, assist with crime mapping projects, and support ongoing investigations by providing timely analytical insights. The role requires balancing independent data work with cross-departmental communication, making it both dynamic and impactful for public safety initiatives.

What do crime data analysts do?

Crime data analysts collect, analyze, and interpret crime statistics and patterns to support law enforcement and public safety efforts. They use statistical tools and software to identify trends, create reports, and provide insights that help inform crime prevention strategies.

How to become a crime data analyst?

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

Is crime analyst a good career?

A crime data analyst is a professional who examines crime statistics and patterns to support law enforcement agencies. The role typically requires strong analytical skills, proficiency with data tools like GIS and statistical software, and often offers stable employment with opportunities for advancement. It can be a rewarding career for those interested in public safety and data analysis.

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 analysts may start at lower salaries, while experienced professionals with specialized skills can earn higher compensation. The role often requires proficiency in data analysis tools and security clearances.
What are popular job titles related to Crime Data Analyst jobs in Rochester, NY? For Crime Data Analyst jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Crime Data Analyst jobs in Rochester, NY look for? The top searched job categories for Crime Data Analyst jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Crime Data Analyst jobs? Cities near Rochester, NY with the most Crime Data Analyst job openings:
Crime Data Analyst jobs near you
Infographic showing various Crime Data Analyst job openings in Rochester, NY as of July 2026, with employment types broken down into 65% Full Time, 10% Part Time, 1% Temporary, and 24% Contract. Highlights an 61% Physical, 5% Hybrid, and 34% Remote job distribution, with an average salary of $81,538 per year, or $39.2 per hour.

Data Scientist-Direct Hire

Criminal Investigation & Law Enforcement | IRS Careers

Rochester, NY • On-site

$74K/yr

Other

Posted 20 days ago

Job description

WHAT IS DATA AND ANALYTICS (DAO)-RESEARCH, APPLIED ANALYTICS & STATISTICS (RAAS)?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position(s) are to be filled in the following area(s):
    • DAO - DATA AND ANALYTICS
  • Consider each location carefully when applying. If you are selected for a location, that location will become your official post of duty.
REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILSQualifications:Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the cut-off dates as shown in announcement under the 'How to Apply' section.
QUALIFICATION REQUIREMENTS: To qualify for this position, you must meet the qualification requirements outlined below:
BASIC REQUIREMENTS All GRADES: EDUCATION:
You must have a bachelor's or higher degree in mathematics, statistics, computer science, data science or other field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: You may qualify with an equivalent combination of qualifying experience and education with at least 30 semester hours related to Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
EDUCATION/SPECIALIZED EXPERIENCE FOR GS-11: In addition to meeting basic requirements, to be eligible for this position, you must have at least one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-09 grade level in the Federal Service. Specialized experience for this position includes: Applying descriptive or inferential statistical methods to analyze data, identify trends or patterns, evaluate results, and develop findings, reports, or recommendations; Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis; Experience manipulating datasets in relational databases (e.g., Compliance Data Warehouse, Enterprise Data Platform); Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, or exploratory data analysis, to evaluate data or support analytic findings; and Creating reports, dashboards, visualizations, written summaries, or presentations to communicate statistical or technical findings to technical or non-technical audiences.
OR
EDUCATION: You may substitute education for specialized experience as follows: A Ph.D. or equivalent doctoral degree as described in the basic requirements in mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
Three (3) full academic years of progressively higher-level graduate education leading to a PH.D or equivalent doctoral degree in mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: You may qualify with an equivalent combination of qualifying experience and education.
SPECIALIZED EXPERIENCE GRADE 12: In addition to the basic requirements above, to be eligible for this position at the GS-12 level, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-11 grade level in the Federal service. Specialized experience for this position includes experience performing all the following:
  • Planning and carrying out data analysis assignments by applying descriptive or inferential statistical methods to analyze data from multiple sources, validate results, identify trends or patterns, and develop findings, reports, or recommendations.
  • Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, validate, analyze, visualize, or document structured or unstructured data for data science projects.
  • Experience manipulating datasets in relational databases (e.g., Compliance Data Warehouse, Enterprise Data Platform).
  • Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, prescriptive analysis, or exploratory data analysis, to evaluate data, models, programs, or operations and make projections or recommendations.
  • Creating and presenting reports, dashboards, visualizations, written summaries, or presentations that explain statistical or technical methods, findings, limitations, or recommendations to managers, stakeholders, customers, or project teams.

SPECIALIZED EXPERIENCE GRADE 13: In addition to the basic requirements above, to be eligible for this position at the GS-13 level, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-12 grade level in the Federal service. Specialized experience for this position includes experience performing all the following:
  • Independently planning and carrying out data science or statistical analysis projects by defining analytic questions, selecting data sources or methods, analyzing structured or unstructured data, validating results, and developing findings or recommendations.
  • Developing or applying statistical, machine learning, operations research, or other data science methods to evaluate programs, operations, compliance, or organizational performance, for example forecasting, predictive or prescriptive modeling, optimization, natural language processing or text analytics, graph or link analysis, or exploratory data analysis.
  • Using programming, query, scripting, or analytic tools, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to prepare, transform, document, analyze, and visualize data for data science projects.
  • Experience manipulating datasets in relational databases (e.g., Compliance Data Warehouse, Enterprise Data Platform).
  • Documenting analytic approaches, assumptions, limitations, validation results, success measures, or key performance indicators, and presenting technical findings or recommendations to managers, stakeholders, customers, or cross-functional teams.

AND
You must also meet the following requirements:
  • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
    • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
    • Completed a formal vocational training program; or
    • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education

For more information on qualifications please refer to OPM's Qualifications Standards.Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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