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Remote Insurance Data Analytics Jobs in Milwaukee, WI

Sr. Data Analyst

Waukesha, WI ยท On-site +1

$86K - $108K/yr

The Senior Data Analyst is a strategic and technical role within Information Technology responsible ... analytics platforms in a collaborative higher education environment. Hybrid and remote options ...

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... Remote Insurance Sales Associate ... Associates use a needs-based benefit analysis program to complete applications for our clients ...

Business Data Analyst

Milwaukee, WI ยท On-site +1

$55K - $120K/yr

... remote arrangements for the ideal candidate. Responsibilities: * Elicit, analyze, and document business and data requirements from stakeholders across the insurance organization. * Translate business ...

Data Analyst

Oconomowoc, WI ยท On-site +1

The Data Analyst plays an essential role in supporting data gathering, analysis, and report ... Health, dental, and vision insurance coverage for you and your family * 401(k) retirement plan

Data Engineer

Milwaukee, WI ยท On-site +1

$112K - $135K/yr

Description Rural Mutual Insurance is looking for an experienced and motivated data professional to ... This is a remote position with periodic on-site presence required. Candidates must live and work in ...

Prior experience in healthcare analytics or trend analysis is a strong advantage highly preferred ... insurance, wellness programs and financial education resources, to name a few. Elevance Health ...

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

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

Cheminformatics Specialist - Remote

Kenosha, WI ยท On-site +1

$90 - $120/hr

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

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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 Aug 12, 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?

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:
What cities near Milwaukee, WI are hiring for Remote Insurance Data Analytics jobs? Cities near Milwaukee, WI with the most Remote Insurance Data Analytics job openings:
Infographic showing various Remote Insurance Data Analytics job openings in Milwaukee, WI as of August 2026, with employment types broken down into 4% Internship, 73% Full Time, 8% Part Time, and 15% Contract. Highlights an 100% Remote job distribution, with an average salary of $112,193 per year, or $53.9 per hour.

Sr. Data Analyst

Carroll University

Waukesha, WI โ€ข On-site, Remote

$86K - $108K/yr

Full-time

Re-posted 8 days ago


Job description

t Carroll University, we are committed to identifying and employing strategies to support our goal to be and remain a socially just organization. Rooted in the Presbyterian (U.S.A.) heritage, we respect all aspects of diversity, embrace the practice of equity, expect inclusion, and embrace belonging throughout our community. Therefore, we seek applicants who can demonstrate their understanding of justice and who can inspire our increasingly diverse student population.

The Senior Data Analyst is a strategic and technical role within Information Technology responsible for advancing the institution's data analytics, reporting, and decision-support capabilities. This position partners closely with academic and administrative departments to analyze data, develop actionable insights, improve data quality, and support data-informed decision-making across the institution. The Senior Data Analyst designs and develops enterprise reporting solutions, dashboards, data models, and analytics frameworks while helping establish data governance standards and best practices. This role serves as a bridge between business stakeholders and technical teams to ensure institutional data is accurate, accessible, secure, and aligned with strategic goals. The position requires strong analytical, communication, and problem-solving skills, along with experience working with ERP systems, data visualization tools, SQL, and modern analytics platforms in a collaborative higher education environment.

Hybrid and remote options available for this role.

Responsibilities:

  • Design, develop, and maintain enterprise dashboards, reports, and data visualizations for academic and administrative departments.
  • Translate complex business requirements into meaningful analytics and reporting solutions.
  • Support institutional data governance initiatives, including data quality, integrity, stewardship, and standardization efforts.
  • Partner with stakeholders to establish consistent reporting definitions, business rules, and data standards.
  • Assist in maintaining enterprise data models, data dictionaries, and metadata documentation.
  • Promote responsible and secure use of institutional data in alignment with compliance and privacy requirements.
  • Assist departments seeking to improve operational effectiveness through data insights.
  • Assist with prioritizing analytics initiatives.
  • Work with enterprise systems including ERP/SIS, CRM, HRIS, LMS, and other institutional applications to support data integration and reporting.
  • Develop and optimize SQL queries, data pipelines, and automated reporting processes.
  • Support analytics and business intelligence platforms such as Power BI, or similar tools.
  • Assist in evaluating emerging analytics, AI, and data technologies that improve institutional effectiveness.
  • Identify opportunities to improve reporting efficiency, automation, and data accessibility.
  • Participate in cross-functional IT and institutional projects related to data, reporting, and process improvement.
  • Complete other duties as assigned.

Qualifications:

Education and/or Experience:

Bachelor's degree in Information Systems, Computer Science, Data Analytics, Business, Mathematics, Statistics, or related field.

5+ years of experience in data analytics, business intelligence, institutional research, or related analytics roles.

Experience working in higher education environments, desired.

Strong experience with SQL and relational databases.

Strong analytical, problem-solving, and communication skills.

Ability to explain technical concepts and analytics insights to non-technical audiences.

Experience supporting institutional effectiveness, enrollment analytics, student success, or operational reporting initiatives.

Technical Skills:

Experience developing dashboards and reports using Power BI, Tableau, or similar BI tools.

Experience working with enterprise applications such as ERP, SIS, CRM, or HRIS systems.

Familiarity with Ellucian, Anthology, Workday, Salesforce, or similar higher education platforms.

Experience with data warehousing, ETL/integration processes, or cloud analytics platforms.

Knowledge of data governance, compliance, and privacy practices.

Exposure to predictive analytics, AI, or machine learning concepts.

Human Relations Skills:

Ability to work effectively with people regardless of their age, gender, race, sexual orientation,ethnicity, religion, ability, socio-economic background, or job type.

Effective interpersonal and communication skills with the ability to collaborate across teams and contribute to problem-solving efforts.

Clear and professional written and verbal communication skills suited for both technical and non-technical audiences.

Strong commitment to delivering responsive and respectful customer service.

Ability to stay focused, organized, and productive when working under deadlines or during periods of high activity.

Adaptable and able to manage shifting priorities in a dynamic work environment.

Skilled in managing multiple assignments and projects simultaneously with minimal oversight.

Equally comfortable working independently or as part of a collaborative team.

Demonstrated ability to build and maintain positive working relationships with a wide range of colleagues and stakeholders.

Candidates must be willing and able to support and advance the University mission.

Compliance:

Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at the Department of Public Safety, at 239 North East Ave., Waukesha, WI 5318