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Police Data Analyst Jobs in Michigan (NOW HIRING)

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Police Data Analyst information

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.

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.

How to become a police data analyst?

To become a police data analyst, typically a bachelor's degree in criminal justice, statistics, or a related field is required. Skills in data analysis software such as Excel, SQL, or specialized crime analysis tools are important, along with strong analytical and communication skills. Gaining experience through internships or entry-level positions in law enforcement or data analysis can also be beneficial.

What are popular job titles related to Police Data Analyst jobs in Michigan?

For Police Data Analyst jobs in Michigan, the most frequently searched job titles are:

What cities in Michigan are hiring for Police Data Analyst jobs?

Cities in Michigan with the most Police Data Analyst job openings:

Infographic showing various Police Data Analyst job openings in Michigan as of August 2026, with employment types broken down into 87% Full Time, 10% Part Time, and 3% Temporary. Highlights an 97% In-person, and 3% Remote job distribution.

Systems Analyst - Data (Insurance Claims)

Tmhcc

Troy, MI

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

Help us insure it

Tokio Marine HCC - Public Risk Group,a member of the Tokio Marine group of companies, is a market leader in providing specialized insurance products for municipal entities. We cover counties, cities, townships, villages, police departments, prisons, fire departments and more. We serve the growing insurance and risk management needs of medium and large governmental entities and provide property and casualty insurance coverages in multiple states.

Role Overview

Systems Analyst - Data (Insurance Claims)

***The ideal candidate is legally authorized to work in the United States and resides within a reasonable commuting distance of Troy, Michigan, to support a hybrid schedule. ***

As a Systems Analyst for Public Risk Group, you will help design, build, and maintain the data solutions that power our underwriting, operations, reporting, and analytics platforms. Working alongside experienced engineers, you will develop data pipelines, integrate systems, and ensure that high-quality, reliable data is available to support business decision-making.

You will collaborate closely with software engineers, product teams, and business stakeholders to understand data requirements and implement scalable technical solutions. As Public Risk Group continues its investment in cloud technologies and platform modernization, you will gain hands-on experience with modern data practices while contributing to the development of enterprise data capabilities.

This role offers an excellent opportunity to grow your technical skills through mentoring, challenging projects, and exposure to cloud-native architectures, APIs, data integrations, and large-scale insurance data.

Key Responsibilities

  • Assist senior engineers and business stakeholders in understanding data requirements and supporting data integrations.

  • Develop familiarity with insurance data, business processes, and systems through project work and mentoring.

  • Participate in Agile ceremonies including daily standups, backlog refinement and sprint planning.

  • Support the development, testing and maintenance of data pipelines, ETL processes and data integrations.

  • Assist in troubleshooting data quality issues and identifying root causes of data discrepancies.

  • Support data validation, reconciliation, and monitoring activities to ensure high quality data.

What You Bring

  • Bachelor's degree in Computer Science, Business or a related field or the equivalent education and/or experience

  • 1-3 years of relevant and progressive professional experience in software development and support.

Preferred Qualifications

  • Insurance industry experience desired.

  • Exposure to NoSQL databases such as Mongo is plus.

  • Basic understanding of data modeling and data quality principles.

  • Understanding of ETL concepts, API's and data integrations.

  • Excellent written and verbal communications skills

  • Exceptional organizational and analytical skills; demonstrated ability to manage multiple tasks simultaneously.

  • Ability to learn new technologies and adapt to changing technical requirements

  • Intermediate proficiency and experience using Microsoft Office package (Excel, Access, PowerPoint, Word)

What We Offer

  • Competitive salary and comprehensive benefit package

  • Strong learning culture with ongoing development opportunities

  • Opportunities for growth and career advancement

  • Comprehensive medical, vision, and dental coverage, with eligibility beginning on your first day of employment

  • Basic life and disability insurance

  • 401(k) plan with 6% company match

  • 20 days of PTO and two floating holidays (prorated)

  • Approximately 11 paid holidays and volunteer time off

  • Paid parental leave

  • Access to our award-winning wellness program, including mental health services, fitness network membership, and a complimentary Headspace subscription

  • Student loan matching program

  • Employee discount program

  • An opportunity to do meaningful work and love what you do

Disclaimer

You do not need to disclose your criminal history or participate in a background check until a conditional job offer is made to you. After making a conditional offer and running a background check, if the Company is concerned about a conviction that is directly related to the job, you will be given the chance to explain the circumstances surrounding the conviction or challenge the accuracy of the background report. The Company will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable federal, state and local laws, such as the Violent Crime Control and Law Enforcement Act of 1994 (18 USC 1033(e))(the "VCCLEA"), which restricts financial institutions and insurers such as TMHCC from employing individuals with certain types of criminal convictions. Where the hiring and employment of individuals is not restricted by the foregoing, the Company will consider qualified applicants with arrest or conviction history in compliance with applicable law such as the California Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance, the San Diego Fair Chance Ordinance, and the San Francisco Fair Chance Ordinance.

About Us

Tokio Marine HCC is a global industry-leading specialty insurance group, backed by the strength and stability of the Tokio Marine Group. Offering over 100 classes of specialty insurance, we empower clients to pursue opportunities confidently through our "Mind Over Risk" philosophy. More than an insurance company, we are an organization built on innovation, unity, and trust.

At our core, we are Always Advancing, driven by innovation and an entrepreneurial spirit that keeps us moving forward. Our people are Experts in Tomorrow, using curiosity and smart working to anticipate what's next. With a culture rooted in Reaching Out, we foster genuine collaboration and support, ensuring every individual has the opportunity to succeed and make a difference.

Applying our Mind Over Risk philosophy to writing insurance allows our customers to take on opportunity with confidence. That philosophy defines our way of thinking, unites us as a team, and differentiates us from our competitors. We are much more than just an insurance company; we are a good company.

Equal Opportunity Employer

TMHCC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances.

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