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At Home Insurance Data Analytics Jobs (NOW HIRING)

WCL Group

Data & Analytics Developer

Greenville, SC · On-site

$65 - $73/hr

Their teams design and improve the systems that keep homes, businesses, and communities running ... at the pipeline and infrastructure level * Stay current with AI, ML, and data science advancements ...

Compeer Financial

Intern Data Analytics

Mankato, MN · On-site +1

$20 - $21/hr

Hybrid model - up to 50% work from home * Flexible schedules including ample flexibility in the ... Benefits: medical, dental, vision, HSA/FSA, life & AD&D insurance, short-term and long-term ...

Compeer Financial

Intern Data Analytics

Bloomington, IL · On-site +1

$20 - $21/hr

Hybrid model - up to 50% work from home * Flexible schedules including ample flexibility in the ... Benefits: medical, dental, vision, HSA/FSA, life & AD&D insurance, short-term and long-term ...

Airbus

Data Analytics Specialist

Dulles, VA · On-site

At SATAIR, we believe in sustainable aviation that allows people to travel and connect across the ... Health insurance, well-being programs HOW YOU WILL CONTRIBUTE TO THE TEAM Regional Adoption ...

Mattel

Manager, Data Analytics

El Segundo, CA · On-site

Mattel is at its best when every member of our team feels respected, included, and heard-when ... The Manager, Data Analytics plays a critical role within Mattel's DTC Consumer Data & Analytics ...

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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?

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 (Solutions and Sales support)

TekWissen

Jersey City, NJ • On-site

Full-time

Re-posted 3 days ago

Job description

Company Description
Job Description
Position: Insurance Data Analyst (Solutions and Sales support)
Location: New Jersey
Duration: Full Time
Job description:
Primary Skill (Must have) : Insurance Data Modernization SQL
Secondary Skill (Nice to have) : ETL Architect SOA Architect
• Data Analyst required to support build Insurance Data management offerings, collateral and solutions
• Involvement in projects on customization and implementation of built solutions is expected
• 8 to 12 years' experience in Insurance Data modernization or data quality improvement projects
• At least 2 to 3 projects onsite in migration, business intelligence projects with role as data analyst or business analyst
• Expertise in insurance domain - P&C Life and Annuities)
• Good understanding of insurance data model
• Well versed with technologies for Cleansing, mastering and improvement of data at enterprise level
• Knowledgeable about recent technology trends on digital insurance, big data etc.
• Ability to articulate and present ideas is important for this role.
Thanks & regards
BHASKAR
734-418-7955
Qualifications
Additional Information
Thanks & Regards
Bhaskar
Email: Bhaskar.k(AT)tekwissen.com
734-418-7955
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About TekWissen

Sourced by ZipRecruiter

TekWissen is an emerging global human capital, recruitment and IT services organization. Operating since 2009, we draw upon more than a decade of staffing experience to deliver critical talent acquisition solutions and IT engagements for our clients. We’re founded on a culture that is passionate about delivering tailored solutions, that create lasting partnerships.

Industry

Recruiting and staffing services

Company size

501 - 1,000 Employees

Headquarters location

Ann Arbor, MI, US

Year founded

2009

Social media

Twitter

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