1

At Home Insurance Data Analytics Jobs (NOW HIRING)

Engage directly with insurance carriers, agencies, and industry stakeholders to understand business ... Experience working with data-driven products and large datasets. * Strong analytical, problem ...

Healthcare Data Architect

Richmond, VA

$63 - $81.25/hr

  • Medical

... Insurance enterprise data architecture for operational data stores, MDM data stores, integration data stores, data warehouses, analytics hubs and data marts. o Perform the detailed data analysis.

Manager, Data Analytics

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

At Empower, joining our team means more than starting a new role. It means becoming part of a ... POSITION SUMMARY The Manager, Data Analytics plays a crucial role in driving business impact ...

Data Analytics Engineer

Farmingdale, NY · On-site

$115K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

At D'Addario, we don't just offer a job-we offer a career with one of the most iconic names in the ... Enhanced short-term disability insurance * Employee Assistance Program (EAP) * Tuition ...

Associate Strategy Director You'll sit at the intersection of strategy, data, and client impact ... analytics, measurement, and optimization programs. * Experience developing complex data strategies ...

Manager, Data Analytics

Tempe, AZ · On-site

$111K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Oscar is the first health insurance company built around a full stack technology platform and a ... At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring ...

Manager, Data Analytics

Farmington, AR · On-site

$80K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Manager, Data Analytics

New York, NY · Hybrid

$123K - $161K/yr

Oscar is the first health insurance company built around a full stack technology platform and a ... At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring ...

Manager, Data Analytics

Manhattan, NY · On-site

$123K - $161K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Oscar is the first health insurance company built around a full stack technology platform and a ... At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring ...

Manager, Data Analytics

Rogers, AR · On-site

$80K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Manager, Data Analytics

Anderson, MO · On-site

$80K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

At Walmart, we want to make sure your experience connecting with us is seamless and straightforward ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Data Analytics Engineer

Farmingdale, NY

$115K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

At D'Addario, we don't just offer a job--we offer a career with one of the most iconic names in the ... Enhanced short-term disability insurance * Employee Assistance Program (EAP) * Tuition ...

Manager, Data Analytics

Bentonville, AR · On-site

$80K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

At Walmart, we want to make sure your experience connecting with us is seamless and straightforward ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Manager, Data Analytics

Springdale, AR · On-site

$80K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

At Walmart, we want to make sure your experience connecting with us is seamless and straightforward ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Manager, Data Analytics

Elm Springs, AR · On-site

$80K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Manager, Data Analytics

Gravette, AR · On-site

$80K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Showing results 41-60

At Home Insurance Data Analytics information

See salary details

$24

$54

$94

How much do at home insurance data analytics jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for at home insurance data analytics in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

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 cities are hiring for At Home Insurance Data Analytics jobs?

Cities with the most At Home Insurance Data Analytics job openings:

What are the most commonly searched types of Insurance Data Analytics jobs?

The most popular types of Insurance Data Analytics jobs are:

What states have the most At Home Insurance Data Analytics jobs?

States with the most job openings for At Home Insurance Data Analytics jobs include:

Product Manager, Auto Insurance

S&P Global

Michigan, ND • On-site

Full-time

Re-posted 8 days ago


S&P Global rating

7.3

Company rating: 7.3 out of 10

Based on 10 frontline employees who took The Breakroom Quiz


Job description

S&P Global Mobility is seeking a Product Manager to drive the strategy, development, and growth of solutions supporting the automotive insurance market. This role serves as the voice of the customer, identifying market opportunities, understanding carrier pain points, and translating industry insights into innovative data-driven products. The ideal candidate combines product management expertise with a strong understanding of how insurance carriers leverage data across underwriting, policy creation, pricing, risk assessment, acquisition, and retention workflows.

Key Responsibilities:

  • Define and execute product strategy, roadmap, and lifecycle management for Auto Insurance Solutions.
  • Conduct customer research, market analysis, and competitive assessments to identify market opportunities and emerging industry trends.
  • Engage directly with insurance carriers, agencies, and industry stakeholders to understand business challenges and workflow requirements.
  • Identify customer pain points and translate feedback into product requirements, business cases, and product enhancements.
  • Drive new product development initiatives from concept through launch and ongoing optimization.
  • Develop a deep understanding of automotive and insurance-related data assets and how they are applied within insurance workflows.
  • Partner with technology, data, sales, marketing, and customer-facing teams to deliver innovative solutions that drive customer value and revenue growth.
  • Define product positioning, pricing strategies, and distribution approaches to maximize adoption and market impact.
  • Analyze product performance and customer feedback to continuously improve existing solutions and inform future product investments.

Required Qualifications:

  • Bachelor's degree or equivalent experience.
  • 4+ years of Product Management experience in insurance, insurtech, automotive insurance, or insurance data solutions.
  • Experience developing products based on customer feedback, market research, and business needs.
  • Strong understanding of auto insurance carrier operations and policy lifecycle processes.
  • Knowledge of how insurance companies utilize data assets to support underwriting, pricing, policy issuance, customer acquisition, and retention.
  • Experience working with data-driven products and large datasets.
  • Strong analytical, problem-solving, and strategic thinking skills.
  • Excellent communication skills with the ability to engage both technical and non-technical audiences.
  • Proven ability to work cross-functionally and influence stakeholders across multiple teams.

Preferred Qualifications:

  • Experience working for an insurance carrier, insurtech company, or insurance data provider.
  • Experience developing tools or solutions used by insurance agents, underwriters, or carrier operations teams.
  • Knowledge of automotive insurance data, analytics, or software solutions.
  • Experience with product pricing, market positioning, and go-to-market strategy.
  • Familiarity with DPPA, GLBA, CCPA, or similar data privacy regulations.
  • Experience with reseller relationships, partnerships, or distribution channels.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

It is the policy of Mobility to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Mobility will provide reasonable accommodations for qualified individuals with disabilities.


What S&P Global employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom