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Crime Data Analyst Jobs in Spring, TX (NOW HIRING)

Data Engineer

Houston, TX · On-site

$30K - $35K/yr

Gather, analyze, and interpret data to identify key trends, patterns, and opportunities for ... A criminal background investigation is conducted on every Legal Access Plans employee. * All job ...

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Crime Data Analyst information

See Spring, TX salary details

$31.1K

$75.7K

$124.5K

How much do crime data analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for crime data analyst in Spring, TX is $75,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,200.00 and $88,800.00 per year, depending on experience, location, and employer.

What is a crime data analyst?

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 crime data analyst do?

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 skills and qualifications are needed to be a crime data analyst?

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.

How do you 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 help build relevant expertise.

Is crime data analyst a good career?

A crime data analyst is a role that involves collecting, analyzing, and interpreting crime statistics to support law enforcement and public safety efforts. The profession typically requires strong analytical skills, proficiency with data tools like SQL or GIS, and often a background in criminal justice or statistics. It offers stable employment opportunities and the chance to contribute to community safety, making it a viable career choice for those interested in data analysis and public service.

What are popular job titles related to Crime Data Analyst jobs in Spring, TX?

For Crime Data Analyst jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Crime Data Analyst jobs in Spring, TX look for?

The top searched job categories for Crime Data Analyst jobs in Spring, TX are:

What cities near Spring, TX are hiring for Crime Data Analyst jobs?

Cities near Spring, TX with the most Crime Data Analyst job openings:

Infographic showing various Crime Data Analyst job openings in Spring, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $73,541 per year, or $35.4 per hour.

Financial Crimes Data Scientist

East West Bank

Houston, TX • On-site

$100 - $200/hr

Other

Posted 29 days ago


East West Bank rating

7.2

Company rating: 7.2 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

117th of 174 rated banks


Job description

Overview

Financial Crimes Data Scientist specializing in the development, deployment, and optimization of in-house AML and fraud detection models. Leverages machine learning, network analytics, and large-scale financial data to identify emerging threats, enhance detection effectiveness, reduce false positives, and support regulatory compliance across financial crime risk programs.

Responsibilities

A Financial Crimes Data Scientist develops, validates, and deploys advanced analytics and machine learning solutions to detect, prevent, and investigate financial crimes, including money laundering, fraud, sanctions violations, and terrorist financing.

Key Responsibilities
  • Design, build, validate, and deploy in-house detection models for AML, fraud, and other financial crime risks.
  • Develop risk-scoring, anomaly detection, predictive, and network analytics models using internal and external data sources.
  • Create and optimize transaction monitoring scenarios and machine learning-driven alert generation frameworks.
  • Implement model deployment pipelines and production monitoring to ensure effectiveness and regulatory compliance.
  • Conduct feature engineering, model tuning, and performance assessment to improve precision, recall, and operational efficiency.
  • Partner with Compliance, BSA/AML, Fraud, Investigations, and Technology teams to translate emerging risks into scalable detection strategies.
  • Reduce false positives while increasing the identification of high-risk activity and suspicious behavior.
  • Support model governance, validation, documentation, and regulatory examinations.
  • Perform other duties as assigned.
Core Expertise
  • Financial Crime Risk Management
  • AML/BSA Compliance
  • Fraud Analytics
  • Machine Learning & AI
  • Graph and Network Analytics
  • Entity Resolution
  • Transaction Monitoring
  • Model Development & Deployment
  • Python, SQL, Spark, Databricks
  • Cloud Analytics Platforms (Azure/AWS)
Qualifications
  • Programming Skills – knowledge of statistical programming languages like R,Python, and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage.
  • Statistics – Good applied statistical skills, including knowledge of statistical tests, behavior clustering, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies.
  • Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques.
  • Data Wrangling – proficiency in handling imperfections in data is an important aspect of a data scientist job description.
  • Experience with Data Visualization Tools like Tableau and Power BI that help to visually encode data
  • Network/Link Analytics
  • Excellent Communication Skills – it is incredibly important to describe findings to a technical and non-technical audience.
  • Strong Software Engineering Background
  • Hands-on experience with data science tools
  • Problem-solving aptitude
  • Analytical mind and great business sense

Applicants must have legal authorization to work in the United States. We do not offer visa sponsorship at this time.

Compensation

The base pay range for this position is USD $100,000.00/Yr. - USD $200,000.00/Yr. Exact offers will be determined based on job-related knowledge, skills, experience, and location.

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