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At Home Insurance Data Analytics Jobs (NOW HIRING)

QuidelOrtho

Manager, Data Analytics

Rochester, NY · On-site

How We Work At QuidelOrtho, our culture is shaped by four core behaviors that guide how we ... insurance, along with a 401(k) plan, employee assistance program, Employee Stock Purchase Plan ...

Headspace

Manager, Data Analytics

Santa Monica, CA · On-site +1

$158K - $224K/yr

About the Manager, Data Analytics at Headspace: What you will do: * Drive significant business outcomes by leading impactful and complex data projects that align with strategic priorities. * Define ...

Headspace

Manager, Data Analytics

Santa Monica, CA · On-site

$158K - $224K/yr

About the Manager, Data Analytics at Headspace: What you will do: * Drive significant business outcomes by leading impactful and complex data projects that align with strategic priorities. * Define ...

Amyx, Inc.

Lead Analyst- Data Analytics

Washington, DC · On-site +1

Current DHS Suitability Clearance * at least six (6) years of demonstrated experience acting as a ... Basic & Voluntary Life Insurance * Wellness Program * PTO * 11 Holidays * Professional Development ...

Walmart

Manager, Data Analytics

Greenland, AR

$80K - $155K/yr

Skilled at translating complex data into trusted insights that support planning and decision-making ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Current

Director, Data Analytics

New York, NY · On-site

In this role, you will oversee analytics teams embedded across various departments, ensuring that data-driven insights are at the heart of every strategic decision at Current. As a functional leader ...

Current

Director, Data Analytics

New York, NY · On-site

In this role, you will oversee analytics teams embedded across various departments, ensuring that data-driven insights are at the heart of every strategic decision at Current. As a functional leader ...

Walmart

Manager, Data Analytics

Bella Vista, AR

$80K - $155K/yr

Skilled at translating complex data into trusted insights that support planning and decision-making ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

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All JobsAt Home Insurance Data Analytics Jobs

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
Director Data & Analytics

Director Data & Analytics

NAVA Software Solutions

Houston, TX • On-site

Full-time

Posted 9 days ago

Job description

NAVA Software solutions is looking for a Director Data & Analytics
Details:
Director of Data & Analytics
Location: Houston, TX - 3 days/week
Job Type : Direct Hire /Full time
Responsibilities:
  • Manage and develop a team data engineers and data analysts, providing guidance and support as needed to ensure the team's success.
  • Lead and actively engage in hands-on project and product management, taking ownership of critical initiatives from planning through execution to ensure alignment with business objectives and successful delivery.
  • Collaborate with the Vice President of Information Services to align the Data & Analytics strategy with the overall business objectives.
  • Work closely with key stakeholders across the organization to identify opportunities for data-driven insights and present those insights and recommendations to leadership to inform decision making.
  • Lead the development and execution of a data-driven strategy in alignment with the company's goals and objectives.
  • Develop and maintain the company's data infrastructure, ensuring data accuracy & integrity.
  • Develop and maintain metrics and KPIs to measure the success of data-driven initiatives.
  • Identify and recommend new tools and technologies that can improve the efficiency and effectiveness of the data analytics team.
  • Define and lead the data governance framework for the organization, ensuring data quality, compliance, and consistency across all platforms.
  • Develop and lead AI strategies and initiatives, ensuring alignment with organizational goals, scalability, and the delivery of impactful results.
  • Define and lead data science and machine learning capabilities, driving the development and deployment of predictive models and analytics solutions to enable data-driven decision-making.

Qualifications:
  • At least 8-10 years of experience in data-related roles (e.g., data analytics, data management, data governance, and data engineering), with a minimum of 3 years in a leadership role.
  • Strong understanding of the BI Ecosystem, including data ingestion, data warehousing, data governance & observability, reporting & analytics, and predictive modeling.
  • Experience managing and developing a team of data professionals.
  • Strong analytical skills and the ability to ask the question behind the question.
  • Excellent communication skills, with the ability to effectively present complex data-driven insights to senior leadership.
  • Experience working in a fast-paced environment and managing multiple projects simultaneously.
  • Knowledge of the homebuilding or real estate industry is a plus.
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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

Social media

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