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Remote Insurance Data Analytics Jobs in Milwaukee, WI

TSMG

AI/ML Data Contributor

Milwaukee, WI · Remote

Participate in remote assignments or attend on-site sessions when required * Follow project ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

TSMG

AI/ML Data Contributor

Milwaukee, WI · Remote

Participate in remote assignments or attend on-site sessions when required * Follow project ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

SysLogic, Inc.

Senior Data Engineer

Brookfield, WI · Remote

$100K - $136K/yr

Performs root cause analysis on data sets and processes to answer specific business questions and ... This remote role is only open to individuals that reside in one of the following states at the time ...

New

SysLogic, Inc.

Senior Data Engineer

Brookfield, WI · Remote

$100K - $136K/yr

Performs root cause analysis on data sets and processes to answer specific business questions and ... This remote role is only open to individuals that reside in one of the following states at the time ...

New

SysLogic, Inc.

Senior Data Engineer

Brookfield, WI · Remote

$108K - $147K/yr

Performs root cause analysis on data sets and processes to answer specific business questions and ... This remote role is only open to individuals that reside in one of the following states at the time ...

New

SysLogic, Inc.

Senior Data Engineer

Brookfield, WI · On-site +1

$100K - $136K/yr

Performs root cause analysis on data sets and processes to answer specific business questions and ... This remote role is only open to individuals that reside in one of the following states at the time ...

New

SC Johnson

Manager, Portfolio Management

Racine, WI · On-site +1

Data management, performance management or data analytic experience JOB REQUIREMENTS * Position is Full-Time, regular business hours, Monday-Friday * Office work environment: Remote work available ...

WEC Energy Group (WEC)

Cloud Data Developer

Milwaukee, WI · On-site +1

$135K/yr

This position currently offers flexibility for a hybrid work arrangement (remote/on-site) with time ... This position is part of a job family (IT Applications Analyst and Senior IT Applications Analyst ...

WEC Energy Group

Cloud Data Developer

Milwaukee, WI · On-site +1

$135K/yr

This position currently offers flexibility for a hybrid work arrangement (remote/on-site) with time ... This position is part of a job family (IT Applications Analyst and Senior IT Applications Analyst ...

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Showing results 21-40

All JobsInsurance Data Analytics JobsRemote Insurance Data Analytics JobsRemote Insurance Data Analytics Jobs in Milwaukee, WI

Remote Insurance Data Analytics information

See Milwaukee, WI salary details

$24

$53

$93

How much do remote insurance data analytics jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for remote insurance data analytics in Milwaukee, WI is $53.94, according to ZipRecruiter salary data. Most workers in this role earn between $43.32 and $61.11 per hour, depending on experience, location, and employer.

What is the difference between Remote Insurance Data Analytics vs Remote Insurance Underwriter?

AspectRemote Insurance Data AnalyticsRemote Insurance Underwriter
Required CredentialsBachelor's in Data Science, Statistics, or related field; often certifications in data analysis or analyticsBachelor's in Business, Finance, or related; often requires insurance licensing or certifications
Work EnvironmentPrimarily data analysis, modeling, and reporting; often collaborative with IT and actuarial teamsAssessing risks, reviewing applications, making underwriting decisions; involves communication with agents and clients
Employer & Industry UsageUsed across insurance companies, reinsurers, and brokers for data-driven decision makingUsed by insurance carriers to evaluate and approve policies

Remote Insurance Data Analytics focuses on analyzing insurance data to inform business decisions, while Remote Insurance Underwriters evaluate individual insurance applications to determine coverage. Both roles are essential in the insurance industry but differ in daily tasks and required skills.

What is remote insurance data analytics?

Remote insurance data analytics is the practice of analyzing insurance-related data, such as claims, risk assessments, and customer information, from a location outside of a traditional office setting. Professionals in this field use statistical methods, data mining, and machine learning tools to identify patterns, detect fraud, and help insurance companies make data-driven decisions. This remote role often requires proficiency in data analysis tools like SQL, Python, or R, and a strong understanding of insurance industry concepts. Remote insurance data analysts collaborate with teams virtually to provide insights and support business strategies, making it a flexible career option.

How do Remote Insurance Data Analytics professionals typically collaborate with cross-functional teams to drive business insights?

Remote Insurance Data Analytics professionals often work closely with underwriters, actuaries, claims managers, and IT teams to gather data requirements, interpret findings, and implement data-driven solutions. Collaboration usually happens through virtual meetings, collaborative dashboards, and project management tools to ensure clear communication and alignment on objectives. This cross-functional approach helps identify trends, optimize risk assessments, and support strategic decision-making within the organization. Building strong relationships with team members across departments is key to successfully translating analytical results into actionable business strategies.

What are the key skills and qualifications needed to thrive as a Remote Insurance Data Analytics professional, and why are they important?

To excel in Remote Insurance Data Analytics, you need strong analytical skills, a background in statistics or mathematics, and typically a degree in data science, actuarial science, or a related field. Familiarity with data analysis tools like SQL, Python, R, and specialized insurance analytics platforms such as SAS or Tableau, as well as relevant certifications, is highly valuable. Attention to detail, problem-solving abilities, and effective communication set candidates apart in this role. These skills are crucial for transforming complex insurance data into actionable insights that drive informed business decisions and risk assessments.
What are the most commonly searched types of Insurance Data Analytics jobs in Milwaukee, WI? The most popular types of Insurance Data Analytics jobs in Milwaukee, WI are:
What are popular job titles related to Remote Insurance Data Analytics jobs in Milwaukee, WI? For Remote Insurance Data Analytics jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Remote Insurance Data Analytics jobs in Milwaukee, WI look for? The top searched job categories for Remote Insurance Data Analytics jobs in Milwaukee, WI are:
Remote Insurance Data Analytics jobs near you
Infographic showing various Remote Insurance Data Analytics job openings in Milwaukee, WI as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $112,193 per year, or $53.9 per hour.

AI/ML Data Contributor

TSMG

Milwaukee, WI • Remote

Full-time

Re-posted 4 days ago

Job description

Project Overview
We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing.

Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible, task-based role with the opportunity to participate in multiple projects over time.

Responsibilities
  • Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation
  • Participate in remote assignments or attend on-site sessions when required
  • Follow project guidelines and ensure high-quality task completion
  • Provide feedback and input during testing activities
  • Complete tasks within given timelines
Requirements
  • Must be based in the United States
  • Strong attention to detail and ability to follow instructions
  • Basic computer skills and familiarity with digital tools
  • Reliable internet connection and access to a computer or smartphone
  • Availability to participate in task-based work (schedule may vary)
Nice to Have
  • Previous experience in data annotation, QA, or testing
  • Interest in AI, machine learning, or emerging technologies
What We Offer
  • Paid, flexible task-based work
  • Opportunity to work on innovative AI/ML projects
  • Exposure to cutting-edge technologies (including device and VR testing)
  • Potential for ongoing project participation

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.