ZipRecruiter

Log In

1

At Home Insurance Data Analytics Jobs (NOW HIRING)

BizTek People

Insurance Data Analyst

Portland, OR · On-site

Insurance Data Analyst 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 ...

Orion180

Senior Insurance Data Analyst

Irving, TX · On-site

$82K - $104K/yr

At Orion180, we don't just stand out for what we do; we shine because of how we do it. Our mission ... We believe analytics isn't a back-office function. It's not a reporting layer bolted onto the ...

Abby Care

Data & Analytics Lead

San Francisco, CA · On-site

$125K - $160K/yr

Powering the future of care at home for all of America. Abby Care is building the leading AI-native ... insurance. * Generous paid time off. We provide policies that allow you to recharge along with 10 ...

Oscar Health

Associate, Provider Data Analytics

Dallas, TX · Remote

$87K - $114K/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 ...

EPIC Brokers

Lead Insurance Data Scientist

Summit, NJ · On-site

$150/hr

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 ...

Oscar Health

Associate, Provider Data Analytics

Dallas, TX · On-site

$87K - $114K/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 ...

TecTammina

Data Analyst

Chattanooga, TN

Experience in insurance data models Qualifications Excellent written and verbal communication ... GC or US Citizens Share the Profiles to mkonni(at)1stitsolutions.com Contact: 703-349-1214 Keep the ...

Oscar Health

Associate, Provider Data Analytics

Tempe, AZ · Hybrid

$87K - $114K/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 ...

Selective Insurance

Data & Analytics Architect

Short Hills, NJ · On-site

$69.25 - $89.25/hr

The Data and Analytics Architect will be responsible for designing data platforms and applications ... At Selective, we maintain a commitment to provide unique insurance solutions that help keep the ...

New

next page

Showing results 1-20

All JobsAt Home Insurance Data Analytics Jobs

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 Jul 3, 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 job?

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, and why are they important?

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:
At Home Insurance Data Analytics jobs near you
Insurance Data Analyst

Insurance Data Analyst

BizTek People

Portland, OR • On-site

Other

Posted 11 days ago

Job description

Insurance Data Analyst

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. This role involves consolidating information from claims, policies, exposures, and historical loss records; performing data quality checks; identifying inconsistencies or gaps; and preparing structured datasets aligned with Riskonnect's data mapping and upload requirements. The contractor will leverage advanced Excel skills—including complex formulas, data cleansing techniques, pivot tables, and data validation tools—to efficiently transform and audit large datasets prior to migration. They will collaborate closely with internal stakeholders and the implementation team to ensure accurate data 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 a fast-moving implementation environment are essential.

Apply