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Remote Insurance Data Analytics Jobs in Milwaukee, WI

Markel International

Data Product Owner

Milwaukee, WI · On-site +1

$92K - $127K/yr

... advanced analytics. Key Responsibilities Define and own the multi-year data product strategy and ... or insurance. #deib #LI-Remote #LI-Hybrid US Work Authorization US Work Authorization required.

Milliman

Data Engineer (MedInsight)

Brookfield, WI · On-site +1

$93K - $177K/yr

Analyze and improve data intake processes and optimize SparkSQL/Python workloads for performance ... Location This role can be remote within the U.S. The expected application deadline for this job is ...

KOHLS

Data Scientist II (Remote)

Menomonee Falls, WI · On-site +1

Lead exploratory data analysis to cull actionable insights * Collaborate with stakeholders to understand business requirements and translate them into technical solutions * Develop and implement ...

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All 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 Jun 15, 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 June 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 100% Remote job distribution, with an average salary of $112,193 per year, or $53.9 per hour.

Data Analyst

Planned Parenthood of Wisconsin, Inc.

Milwaukee, WI • On-site, Remote

Full-time

Posted 16 days ago

Job description

At Planned Parenthood of Wisconsin, Inc. (PPWI), we work to provide quality, affordable health care services, comprehensive education, and strong advocacy. We serve over 50,000 patients annually in 18 health centers statewide, making us the largest and most trusted reproductive health care provider in Wisconsin. Our goal is to help keep Wisconsin safe, healthy and strong!
 
This is an excellent hybrid opportunity for a Data Analyst (40 hours/week) at our Administration Offices in Milwaukee, WI and remote.
 
As part of our comprehensive benefit package, we offer:
- Company contribution toward medical insurance deductible
- Generous Paid Time Off
- 12 Days of Holiday Pay
- Immediate 401(k) Vesting with up to 6% company contribution
- Paid Parental Leave
- Tuition Assistance
- Public Service Loan Forgiveness Program
 
PPWI’s compensation philosophy is rooted in equity. Starting offers are determined by both the candidate’s applicable experience and internal equity. The Data Analyst pay starts from $35.71 per hour.
 
Additional $1.50 per hour for bilingual (English/Spanish)
 
PURPOSE OF POSITION:
The Data Analyst will use strong analytical capabilities to drive financial and operational insights. This role will serve as a strategic partner to the CFO and senior leadership team—transforming complex data into actionable intelligence that informs business strategy, performance monitoring, and decision-making.
 
KNOWLEDGE, SKILLS, & ABILITIES:
- Must be committed to providing excellent customer service and support the vision and values of Planned Parenthood of WI.
- Commitment to diversity, equity, inclusion, and belonging.   
- Strong understanding of healthcare operations and financial concepts, including revenue cycle, payer mix, cost analysis, and performance metrics.
- Proven ability to synthesize complex data into meaningful insights for executive-level decision-making.
- Effective communication skills and experience translating technical data into accessible business narratives.
- Proven analytical and problem-solving abilities, with the ability to effectively prioritize and execute tasks in a high-pressure environment.
- Familiarity with data integration or ETL processes between Epic and external tools.
 
EDUCATION and/or EXPERIENCE:
- Associate’s degree in information technology, Business Management, Data Analytics, Finance, or related field required.
- 3–5 years of experience in data analytics within a healthcare organization or health tech environment.
- An equivalent combination of education and experience from which comparable knowledge and abilities can be acquired may be considered.  
- Demonstrated experience working with Epic (Clarity, Caboodle, or similar reporting tools).
- Proficiency in SQL, Excel, and one or more BI/reporting tools (e.g., Power BI, Tableau, Smartsheet dashboards).
- Caboodle and Clarity Data Modeling certifications preferred.
 
PHYSICAL REQUIREMENTS:
The position is predominantly sedentary requiring the ability to sit, bend, stand and walk. May require occasional stooping, reaching, stair-climbing and repetitive motions of the hands and wrist related to writing and typing at an electronic keyboard. Rarely requires kneeling, pushing/pulling and repetitive motions of the feet.  
Physical demands of the position necessitate hearing, talking, handling and grasping regularly. May require lifting up to 30 pounds. Specific vision conditions include close vision reading. Requires the ability to operate a computer, telephone, and copy machine. 
 
WORKING CONDITIONS:
The position is generally performed in an office environment but involves frequent interruptions.  The noise level is generally low to quiet.  The work environment characteristics are representative of those an employee encounters while performing the essential functions of this position.  Reasonable accommodation, however, may be made to enable individuals with disabilities to perform said essential functions.
 
Occasional evenings and weekends may be necessary. 
ESSENTIAL DUTIES & RESPONSIBILITIES:
  • including but not limited to:
 
Data Reporting:
  • Design, build, and maintain dashboards and reports that integrate Epic data with financial and operational systems (e.g., SmartSheet, Power BI, or Tableau).
  • Collaborate with finance, operations, and clinical leadership to identify key performance indicators (KPIs) across patient care, revenue cycle, and resource utilization.
  • Support ongoing initiatives to enhance data automation, reporting efficiency, and real-time visibility into organizational performance.
 
Data Analysis
  • Extract, transform, and analyze large datasets from Epic to support monthly performance reviews, forecasting, and strategic planning.
  • Translate data findings into clear recommendations and presentations for non-technical stakeholders, including the CFO and board members.
  • Partner with IT and data governance teams to ensure data integrity, compliance, and alignment with HIPAA standards.
  • Identify opportunities to optimize clinical and administrative workflows through data insights.
 
Training:
  • Assist in the creation of targeted, prompt ad-hoc training to business users as needs arise; proactively integrate this knowledge into standard training materials
 
OTHER DUTIES and ABILITIES:
  • Perform additional related duties as assigned.
 
Any job offer will be contingent upon the results of a background investigation.
PPWI is an equal opportunity employer committed to diversity in the workplace.