ZipRecruiter

Log In

1

At Home Insurance Data Analytics Jobs in Wisconsin

Bellin

Accountable Care Data Analyst

Green Bay, WI · On-site

Supports contract strategy and clinical integration projects with robust analytics. Qualifications ... and at home * Be a member of a passionate workforce, that feels like family and is driven to ...

Generac

Data Science Analyst

Waukesha, WI · On-site

For more than 65 years, we've turned big ideas into solutions that help protect homes, strengthen ... The candidate must have familiarity with the manipulation of unstructured data in a data analytics ...

previous pagenext page

Showing results 21-40

All JobsAt Home Insurance Data Analytics JobsAt Home Insurance Data Analytics Jobs in Wisconsin

At Home Insurance Data Analytics information

What is an at home insurance data analytics?

An At Home Insurance Data Analytics job involves working remotely to analyze data related to insurance policies, claims, customer trends, and risk factors. Professionals in this role use statistical methods and specialized software to interpret large datasets and provide insights that help insurance companies make informed business decisions. The tasks may include data cleaning, reporting, predictive modeling, and collaborating with other teams to optimize products or processes. Working from home provides flexibility, but it also requires strong communication skills and self-motivation. This role is essential for helping insurance companies stay competitive and efficient in a data-driven industry.

What types of data sources and tools will I typically work with as an at home insurance data analytics professional?

As an At Home Insurance Data Analytics professional, you'll regularly handle data from policy management systems, claims databases, customer interactions, and external risk assessment sources. You'll use tools like SQL for data extraction, Python or R for analysis, and data visualization platforms such as Tableau or Power BI to present insights. Collaboration with underwriting, claims, and IT teams is common to ensure data accuracy and actionable reporting. This role offers exposure to both structured and unstructured data, requiring a balance of technical skills and insurance industry knowledge.

What are the key skills and qualifications needed to thrive as an at home insurance data analytics professional?

To thrive in At Home Insurance Data Analytics, you need strong analytical skills, a background in statistics or mathematics, and experience with insurance data, often supported by a relevant degree. Proficiency with data analysis tools such as SQL, Python, R, and business intelligence platforms like Tableau or Power BI is typically required. Strong problem-solving, attention to detail, and effective communication skills help translate complex data insights for stakeholders. These skills ensure accurate risk assessment, data-driven decision-making, and effective remote collaboration in the insurance industry.

What is the difference between At Home Insurance Data Analytics vs Insurance Data Analyst?

AspectAt Home Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's degree in statistics, data science, or related field; knowledge of insurance industryBachelor's degree in mathematics, statistics, or related field; industry-specific knowledge beneficial
Work EnvironmentRemote or home-based, collaborating with insurance teamsTypically office-based, but may include remote options; working with insurance data teams
Employer & Industry UsageInsurance companies, brokers, and agencies analyzing policy dataInsurance firms, consulting agencies, or analytics firms focusing on insurance data

At Home Insurance Data Analytics involves remote data analysis specifically tailored to insurance data, often with a focus on policy and claims data. Insurance Data Analysts may work in similar environments but are often based in-office and may handle broader data analysis tasks across various industries. Both roles require similar skills and education, but At Home Insurance Data Analytics emphasizes remote work within the insurance sector.

What are the most commonly searched types of Insurance Data Analytics jobs in Wisconsin? The most popular types of Insurance Data Analytics jobs in Wisconsin are:
At Home Insurance Data Analytics jobs near you

Data Analytics Engineer - Reliability

Brunswick Corporation

Fond Du Lac, WI • On-site

$86K - $139K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 hours ago

Job description

Are you ready for what's next?
Come explore opportunities within Brunswick, a global marine leader committed to challenging conventions and innovating next-generation technologies that transform experiences on the water and beyond. Brunswick believes "Next Never Rests™," and we offer a variety of exciting careers and growth opportunities within united teams defining the future of marine recreation.
Location: Fond du Lac, Wisconsin
Workplace Category: Hybrid
Travel Required: None
Direct Reports: No
Pay Range: $86,500 - $139,300 annually.
Visa Sponsorship: Applicants must be currently authorized to work in the United States. This position is not eligible for employment visa sponsorship now or in the future.
Relocation: Yes
Innovation is the heart of Brunswick. See how your contributions will help transform vision into reality.
Position Overview:
As a Data Analytics Engineer - Reliability, you will support data-driven decision making by transforming PD&E test & validation data, warranty, customer usage and reliability data into clear, actionable insights. This role focuses on strong analytical reasoning and statistical rigor to support engineering, quality, and leadership teams.
At Brunswick, we have passion for our work and a distinct ability to deliver.
Essential Functions:
  • Analyze test & validation data, field performance, and customer usage data to identify trends and emerging reliability risks
  • Apply statistical and analytical methods to understand variation, uncertainty, and key drivers
  • Develop and maintain Power BI and/or Tableau dashboards and standardized reporting
  • Build and validate SQL-based data sources and support data modeling efforts
  • Use Python for deeper analysis, automation, or advanced exploration as needed
  • Partner with IT and cross-functional teams to ensure data quality, consistency, and governance
  • Communicate insights clearly to technical and non-technical stakeholders

Diversity of thought and experiences is fundamental when imagining the unimaginable. Certain skillsets/experiences are necessary; however, others can be developed along the way.
Required Qualifications:
  • Bachelor's degree in a quantitative field (Data Analytics, Statistics, Engineering, or similar)
  • 3-6 years of experience in data analytics, BI, reliability, or quality analytics
  • Strong analytical, statistical, and problem-solving skills
  • Strong SQL skills; experience with Power BI and/or Tableau
  • Working knowledge of Python
  • High attention to data accuracy and analytical rigor

Preferred Qualifications:
  • Experience with warranty, reliability, durability, or customer usage data
  • Familiarity with Power BI data modeling, DAX, or Power Query
  • Exposure to Six Sigma, reliability engineering, or quality systems
  • Experience working in cross-functional engineering or operations environments

The hiring range for this position is $86,500 - $139,300 annually. The actual base pay offered will vary based on multiple factors including job-related knowledge/skills, relevant experience, business needs, and geographic location. Compensation decisions are dependent upon the specifics of the candidate's qualifications and the business context.
In addition to base pay, this position is eligible for an annual discretionary bonus. This position is eligible to participate in Brunswick's comprehensive and high-quality benefits offerings, including medical, dental, vision, paid vacation, 401k (up to 4% match), Health Savings Account (with company contribution), well-being program, product purchase discounts and much more. Details about our benefits can be found here.
Next is Now!
We value growth and development, recognizing that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please still consider applying.
Brunswick is an Equal Opportunity Employer and considers all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other characteristic protected by federal, state, or local law. Diversity of experience and skills combined with passion is key to innovation and inspiration and we encourage individuals from all backgrounds to apply. If you require accommodation during the application or interview process, please contact hrsharedservices@brunswick.com for support.
For more information about EEO laws, - click here
Brunswick Corporation participates in E-Verify as part of our commitment to a lawful and transparent hiring process. For additional information click here: https://www.brunswick.com/e-verify.
Brunswick and Workday Privacy Policies
Brunswick does not accept applications, inquiries or solicitations from unapproved staffing agencies or vendors. For help, please contact our support team at: hrsharedservices@brunswick.com or 866-278-6942.
All job offers will come to you via the candidate portal you create when applying through a posted position through https:///www.brunswick.com/careers. If you are ever unsure about what is being required of you during the application process or its source, please contact HR Shared Services at 866-278-6942 or HRSharedServices@brunswick.com.
#Brunswick Corporation - Mercury Marine

Apply