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At Home Insurance Data Analytics Jobs (NOW HIRING)

Corning

Scientist, Data Analytics

Corning, NY · On-site

$71K - $98K/yr

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 ...

Samsung SDS

Data analytics architect

San Jose, CA

We are seeking a senior software architect with at least 8 years of experience in designing ... Collaborate with business analysts and data scientists in eliciting and articulating solution ...

Canon U.S.A., Inc.

Data Analytics Analyst

Irvine, CA · On-site

$69K - $103K/yr

About the Role Canon USA in Melville, NY is currently seeking a Data Analytics Analyst (Analyst ... home the remainder of the week (unless a specific business need arises requiring in office ...

TECO

Data Analytics Architect

Tampa, FL · On-site

Data Analytics Architect Company : Tampa Electric Company Location: Midtown East Tower State and ... At least one professional certification in specific job-related disciplines preferred in addition ...

Canon U.S.A., Inc.

Data Analytics Analyst

Irvine, CA · Hybrid

$69K - $103K/yr

To learn more about Canon, visit us at www.usa.canon.com and connect with us on LinkedIn at Who We ... home the remainder of the week (unless a specific business need arises requiring in office ...

Canon U.S.A., Inc.

Data Analytics Analyst

Glendale, CA · Hybrid

$69K - $103K/yr

To learn more about Canon, visit us at www.usa.canon.com and connect with us on LinkedIn at Who We ... home the remainder of the week (unless a specific business need arises requiring in office ...

Kia America

Data & Analytics Specialist

Irvine, CA · On-site

At Kia, we're creating award-winning products and redefining what value means in the automotive ... A strong foundation in data analytics and statistics are necessary to ask the right questions ...

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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 Jun 12, 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 does a data analyst do at an insurance company?

A data analyst at an insurance company collects, processes, and analyzes data related to policies, claims, and customer behavior to identify trends and support decision-making. They often use tools like Excel, SQL, and data visualization software to create reports and improve risk assessment, pricing, and fraud detection.

Can you work from home doing data analytics?

At Home Insurance Data Analytics roles often allow remote work, especially with the increasing adoption of telecommuting in the industry. These jobs typically require strong analytical skills, proficiency with tools like Excel or SQL, and good communication abilities, making remote work feasible for qualified candidates.

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.

Do insurance companies need a data analyst?

Insurance companies often employ data analysts to interpret large datasets, assess risk, and improve underwriting and claims processes. Data analysts in this field use statistical tools and programming skills to support decision-making and optimize business strategies.

How is data analytics used in the insurance industry?

In at home insurance data analytics, professionals analyze large datasets to assess risk, detect fraud, and personalize policy pricing. They use tools like statistical software and machine learning algorithms to improve underwriting accuracy and claims processing efficiency.
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
AVP, Data & Analytics Product Owner

AVP, Data & Analytics Product Owner

Everest Insurance

Warren, NJ • On-site

$201K - $225K/yr

Full-time

Medical, Life, Retirement, PTO

Posted yesterday

Job description

Title:
AVP, Data & Analytics Product Owner
Company:
Everest Global Services, Inc.
Job Category:
Analytics
Job Description:
About Everest:
Everest is a global leader in risk management, rooted in a rich, 50+ year heritage of enabling businesses to survive and thrive, and economies to function and flourish. We are underwriters of risk, growth, progress and opportunity. We are a global team focused on disciplined capital allocation and long-term value creation for all stakeholders, who care deeply about our impact on communities and the wider world.
Role Overview
As the AVP, Data & Analytics Product Owner, you are a senior leader within the Data & Analytics organization, accountable for owning and delivering high-impact Insurance data and analytics products that enable business strategy, operational excellence, and regulatory compliance. You serve as the primary data product owner for Insurance, partnering closely with business leaders, IT, architecture, and data governance teams to define product vision, translate business needs into actionable requirements, and drive execution of the enterprise data strategy.
In this role, you combine strategic product leadership with strong stakeholder engagement and hands-on delivery oversight, while also carrying people management responsibilities.
Key Responsibilities:
  • Provide strategic product ownership for Insurance data and analytics, with end-to-end accountability for product vision, roadmap, prioritization, delivery, adoption, and ongoing value realization.
  • Execute the Insurance data strategy in partnership with IT and Enterprise D&A teams, including delivery of global data domains and data products.
  • Serve as a trusted advisor to Insurance leadership, shaping data-driven decisions and translating business priorities into scalable data and analytics solutions.
  • Influence and align stakeholders across Underwriting, Claims, Finance, Operations, and Distribution, ensuring enterprise and global perspectives are reflected in data initiatives.
  • Act as the primary D&A point of accountability with IT for Insurance data delivery, setting priorities, managing dependencies, and ensuring timely, high-quality execution.
  • Define and approve data requirements, conceptual models, data definitions, and mappings, ensuring clarity, consistency, and alignment with enterprise data standards.
  • Partner with Data Governance, Architecture, and Platform teams to ensure delivered solutions adhere to data quality, lineage, control, and regulatory expectations.
  • Provide oversight of data reliability, performance, and production stability, including escalation and resolution of material data and analytics issues.
  • Assess and manage the impact of upstream and downstream business, technology, and regulatory initiatives on Insurance data products.
  • Lead planning, prioritization, and budget discussions for Insurance data and analytics initiatives, balancing strategic investments with operational needs.

Qualifications
  • Bachelor's degree in Information Systems, Computer Science, Engineering, Analytics, Business, or a related field
  • 10+ years of experience in data & analytics, data product ownership, business analysis, or technology delivery in an enterprise environment.
  • Experience within the insurance industry, with a solid understanding of insurance products, business operations, and data concepts across functions such as Underwriting, Claims, Finance, and Operations.
  • Proven experience owning and delivering data or analytics products, including requirements definition, roadmap ownership, prioritization and execution in partnership with IT.
  • Strong understanding of data architecture, data platforms, analytics, governance, and regulatory considerations.
  • Demonstrated ability to influence senior stakeholders and drive outcomes without direct authority.
  • Proficient with data analysis and validation tools such as SQL
  • Experience working with enterprise data governance and catalog platforms, such as Collibra, with an understanding of metadata management, data lineage, stewardship, and governance workflows.
  • Experience leading and developing teams.

The base salary range for this position is $201,000 - $225,000 annually. The offered rate of compensation will be based on individual education, experience, qualifications and work location. All offers include access to a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid time off (PTO).
#LI-Hybrid
#LI-AS1
What if I don't meet every requirement? At Everest we are dedicated to building an inclusive and authentic workplace. So, if you are excited about this role but your past experience doesn't align perfectly with every element in the job description, we still encourage you to apply. You may be just the right candidate for this or other roles. Please let us know if you need any accommodations throughout the application or interview process.
Our Culture
At Everest, our purpose is to provide the world with protection. We help clients and businesses thrive, fuel global economies, and create sustainable value for our colleagues, shareholders and the communities that we serve. We also pride ourselves on having a unique and inclusive culture which is driven by a unified set of values and behaviors. Click here to learn more about our culture.
  • Our Values are the guiding principles that inform our decisions, actions and behaviors. They are an expression of our culture and an integral part of how we work: Talent. Thoughtful assumption of risk. Execution. Efficiency. Humility. Leadership. Collaboration. Inclusion and Belonging.
  • Our Colleague Behaviors define how we operate and interact with each other no matter our location, level or function: Respect everyone. Pursue better. Lead by example. Own our outcomes. Win together.

All colleagues are held accountable to upholding and supporting our values and behaviors across the company. This includes day to day interactions with fellow colleagues, and the global communities we serve.
Type:
Regular
Time Type:
Full time
Primary Location:
Warren, NJ
Additional Locations:
Everest is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or creed, sex (including pregnancy), sexual orientation, gender identity or expression, national origin or ancestry, citizenship, genetics, physical or mental disability, age, marital status, civil union status, family or parental status, veteran status, or any other characteristic protected by law. As part of this commitment, Everest will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Everest Benefits at everestbenefits@everestglobal.com.
Everest U.S. Privacy Notice | Everest (everestglobal.com)

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