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At Home Insurance Data Analytics Jobs (NOW HIRING)

Lead enterprise data analytics initiatives: develop and execute analytics strategies that support ... Learn more about working at Risk Strategies, part of the Brown & Brown team, by visiting Pay Range ...

Senior Data Analyst

Charlotte, NC · On-site

$84K - $106K/yr

Role - Senior Data Analyst Location - Charlotte, NC SUMMARY Demonstrated strong domain expertise in Property & Casualty (P&C) Insurance, with hands-on experience in interpreting ACORD policy formats ...

Data Analytics Architect

Alexandria, VA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

At Parsons, you can imagine a career where you thrive, work with exceptional people, and be ... Candidates should be willing to travel / TDY away from their home location for up to 30% of a ...

Data Analytics Architect

Alexandria, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

At Parsons, you can imagine a career where you thrive, work with exceptional people, and be ... Candidates should be willing to travel / TDY away from their home location for up to 30% of a ...

Lead Insurance Data Scientist

San Ramon, CA · On-site

$150/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

At least 3 years of experience in a data analyst, data science, or comparable analytical role while in an insurance brokerage environment. • Strong organizational skills with the ability to manage ...

Analyst, Data & Analytics

Corning, NY · On-site

$94K - $129K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You can help connect the unconnected, drive the future of automobiles, transform at-home ... insurance, disability, disease management programs, paid time off, and an Employee Assistance ...

Data Analytics Specialist

Crane, IN · On-site

$100K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... at the time this posting was issued. Actual compensation may vary based on factors such as job ... Disability and life insurance * Pet insurance Note: Benefits may vary based on employment type ...

Analyst, Data & Analytics

Corning, NY · On-site

$94K - $129K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You can help connect the unconnected, drive the future of automobiles, transform at-home ... insurance, disability, disease management programs, paid time off, and an Employee Assistance ...

Specialist, Data Analytics

Radnor, PA · On-site

$55/hr

  • Medical

  • Retirement

  • PTO

Requisition #: 76278 The Role at a Glance We are excited to bring on a Specialist, Data Analytics ... insurance, group protection, and retirement plan services. With our 120-year track record of ...

Data Analytics Specialist

Denver, CO · On-site

$90K - $120K/yr

  • Retirement

  • PTO

... Work from Home Policy. Interested Candidates: Complete the employment application online at ... Data Analytics Specialist Division: Data and Analytics Reports to: Director of Data and Analytics ...

Posted today

Our flagship program is the Global Career Accelerator (here's an example: which runs at 100 ... Bring Data Analytics to life by incorporating real-world examples into our existing curriculum.

Director, Data & Analytics

Salem, OR · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

Our Associates have access to robust health insurance plans, including Medical, Dental, and Vision ... Home Purchase Discounts, and unique opportunities such as the Everyone's Included Day. At Lennar ...

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At Home Insurance Data Analytics information

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$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 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 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 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:

Contractor

Re-posted 3 days ago


Job description


Title: Insurance Data Analyst
Duration: 2 Months
Location: Portland, OR
Job Description
The Insurance Data Analyst contractor will play a key role in supporting our transition to Riskonnect by gathering, validating, and analyzing insurance related data required for system configuration and ongoing reporting.
Requirements
Responsibilities
  • This role involvesconsolidating information from claims, policies, exposures, and historicalloss records; performing data quality checks; identifying inconsistenciesor gaps; and preparing structured datasets aligned with Riskonnect's datamapping and upload requirements.
  • The contractor will leverageadvanced Excel skills-including complex formulas, data cleansingtechniques, pivot tables, and data validation tools-to efficientlytransform and audit large datasets prior to migration.
  • They will collaborate closelywith internal stakeholders and the implementation team to ensure accuratedata migration, support user acceptance testing with analytical insights,and document data processes to enable smooth adoption of the new platform.
  • Clear communication,meticulous attention to detail, and the ability to work independently in afast-moving implementation environment are essential.