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At Home Insurance Data Analytics Jobs (NOW HIRING)

SWBC

Data Analytics Manager

San Antonio, TX · On-site

SWBC is seeking a results-oriented Data Analytics Manager to lead and develop a team of Data ... To learn more about SWBC, visit our website at www.SWBC.com. If interested, please click the ...

AIG

Data Analytics, Manager, P&C Insurance

New York, NY · On-site

$120K - $150K/yr

At AIG, we are reimagining the way we help customers to manage risk. Join us as a Data Analytics ... Make Your Mark: General Insurance is a leading provider of insurance products and services ...

Alpha Omega Integration

Data Analytics Lead

Washington, DC · On-site

$80K - $115K/yr

Life Insurance, STD/LTD term disability coverage, with employer paid premiums * 401 (k) plan with a ... at work, in service, and in the community. Alpha Omega Integration, LLC (Alpha Omega) is an Equal ...

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site +1

The Company At EV Realty, we're building the infrastructure backbone that powers the ... The Role As a Data Analytics Intern you will help build and maintain various analytics tools and ...

MRINetwork Jobs

Insurer Data Manager

Independence, KS · On-site

The ability to translate business needs into practical data solutions If you've been looking for a role that combines insurance expertise, analytics, and process improvement, additional details are ...

Walmart

Manager, Data Analytics

Bentonville, AR · On-site

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 ...

RugsUSA

Data Analytics Engineer

Manhattan, NY · On-site

$110 - $120/hr

Your Life and Career at RugsUSA * A culture that promotes a healthy work/life balance * Benefits ... home to life -atany budget. Position Overview The Data Analytics Enginee r designs, builds, and ...

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At Home Insurance Data Analytics information

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

As of Sep 7, 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?

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At Home Insurance Data Analytics jobs near you

Strategic Data Analytics Manager

Tokai Carbon GE LLC

Charlotte, NC • On-site

Full-time

Posted 9 days ago

Job description

Strategic Data Analytics Manager. Tokai Carbon GE LLC. Charlotte, NC. Must work on-site at Charlotte, NC company location 4 days per week, and may telecommute (work from home) within commuting distance of Charlotte site 1 day per week. Manage major projects in collaboration with the engineering and IT departments for data acquisition and report automation. Share actionable insights with the management team through both ad-hoc reporting and building dashboards. Work directly with the Management Committee and plant engineering to set up systems that use technical data to drive better decision-making at all levels of the organization. Develop systems designed to extract data from manufacturing equipment for the purpose of increasing utilization and technical performance of the equipment and meeting more stringent manufacturing specifications. Design tools to enable our stakeholders to access self-service analytics & pre-packaged datasets. Analyze large and complex data sets with the ability to draw conclusions and provide meaningful insights to the Management Committee. Build out an extensive network within the organization that will be leveraged to influence outcomes and drive to achieve company results. Design and develop software for commercial use that is utilized to achieve higher quality standards in our manufacturing processes. Explore alternative datasets to enrich & expand existing analytics. Work M-F, 8a - 5p EST, hours may flex as needed to support business needs. Supervise one (1) subordinate employee (Data Analyst) and indirectly oversee other engineers in the plants.

Requires a Master's or Bachelor's degree in Data Analytics, Business Analytics, Engineering, Data Science, or related field or foreign equivalent. Requires with Master's three (3) years or with Bachelor's five (5) years of project management and process design experience to include (with Master's 3 years, or with Bachelor's 5 years): using data visualization standards and techniques to visually summarize data and insights; data analytics or a related field (such as Business Analytics, Engineering, or Data Science); data analysis tools and software including SQL, R or Python, and Crystal Reports or Power BI; experience in a managerial or leadership role; two (2) years (with Master's or Bachelor's): manufacturing data and systems (ERP and MES); Lean Manufacturing and Six Sigma methodologies. Requires 30 – 35% US travel to plants to assist with projects as needed, attend trainings and company business meetings. Apply: Send resume to: https://www.tokaicarbonusa.com/company/careers/ and reference #118115.

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