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Remote Insurance Data Analytics Jobs in Springdale, AR

Breakthru

Category Development Analyst

Rogers, AR · Remote

$60K - $75K/yr

Time Type: Full time Remote Type: Job Family Group: Commercial Summary: The Category Development ... shopper data resulting in a "best in class" customer analytics platform. * Performs analysis ...

Alkami Technology

Sr. Data Engineer

Bentonville, AR · Remote

$120K - $150K/yr

As a remote-first company, most of our positions can be remote in the US, except for key roles ... analytics, data governance, AI/ML, or related areas ● Experience with AWS big data technologies ...

Walmart

Principal, Data Scientist

Bentonville, AR · Remote

Proven ability to translate complex analytical results into clear, actionable business ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Walmart

(USA) Senior, Data Scientist

Bentonville, AR · On-site +1

$108K - $216K/yr

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... Option 3 - 5 years' experience in an analytics or related field. Preferred Qualifications.

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All JobsInsurance Data Analytics JobsRemote Insurance Data Analytics JobsRemote Insurance Data Analytics Jobs in Springdale, AR

Remote Insurance Data Analytics information

See Springdale, AR salary details

$21

$48

$83

How much do remote insurance data analytics jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for remote insurance data analytics in Springdale, AR is $48.41, according to ZipRecruiter salary data. Most workers in this role earn between $38.89 and $54.86 per hour, depending on experience, location, and employer.

What is the difference between Remote Insurance Data Analytics vs Remote Insurance Underwriter?

AspectRemote Insurance Data AnalyticsRemote Insurance Underwriter
Required CredentialsBachelor's in Data Science, Statistics, or related field; often certifications in data analysis or analyticsBachelor's in Business, Finance, or related; often requires insurance licensing or certifications
Work EnvironmentPrimarily data analysis, modeling, and reporting; often collaborative with IT and actuarial teamsAssessing risks, reviewing applications, making underwriting decisions; involves communication with agents and clients
Employer & Industry UsageUsed across insurance companies, reinsurers, and brokers for data-driven decision makingUsed by insurance carriers to evaluate and approve policies

Remote Insurance Data Analytics focuses on analyzing insurance data to inform business decisions, while Remote Insurance Underwriters evaluate individual insurance applications to determine coverage. Both roles are essential in the insurance industry but differ in daily tasks and required skills.

What is remote insurance data analytics?

Remote insurance data analytics is the practice of analyzing insurance-related data, such as claims, risk assessments, and customer information, from a location outside of a traditional office setting. Professionals in this field use statistical methods, data mining, and machine learning tools to identify patterns, detect fraud, and help insurance companies make data-driven decisions. This remote role often requires proficiency in data analysis tools like SQL, Python, or R, and a strong understanding of insurance industry concepts. Remote insurance data analysts collaborate with teams virtually to provide insights and support business strategies, making it a flexible career option.

How do Remote Insurance Data Analytics professionals typically collaborate with cross-functional teams to drive business insights?

Remote Insurance Data Analytics professionals often work closely with underwriters, actuaries, claims managers, and IT teams to gather data requirements, interpret findings, and implement data-driven solutions. Collaboration usually happens through virtual meetings, collaborative dashboards, and project management tools to ensure clear communication and alignment on objectives. This cross-functional approach helps identify trends, optimize risk assessments, and support strategic decision-making within the organization. Building strong relationships with team members across departments is key to successfully translating analytical results into actionable business strategies.

What are the key skills and qualifications needed to thrive as a Remote Insurance Data Analytics professional, and why are they important?

To excel in Remote Insurance Data Analytics, you need strong analytical skills, a background in statistics or mathematics, and typically a degree in data science, actuarial science, or a related field. Familiarity with data analysis tools like SQL, Python, R, and specialized insurance analytics platforms such as SAS or Tableau, as well as relevant certifications, is highly valuable. Attention to detail, problem-solving abilities, and effective communication set candidates apart in this role. These skills are crucial for transforming complex insurance data into actionable insights that drive informed business decisions and risk assessments.
What job categories do people searching Remote Insurance Data Analytics jobs in Springdale, AR look for? The top searched job categories for Remote Insurance Data Analytics jobs in Springdale, AR are:
What cities near Springdale, AR are hiring for Remote Insurance Data Analytics jobs? Cities near Springdale, AR with the most Remote Insurance Data Analytics job openings:
Remote Insurance Data Analytics jobs near you

Snowflake Architect - Remote - W2

CLOUDSCOUTS SOFTWARE SOLUTIONS LLC

Bentonville, AR • Remote

$65.25 - $84/hr

Full-time

Posted 8 days ago

Job description

Job Profile: Snowflake Architect
Job Location: Remote
Note : We are looking for an h1b candidate with having at least 13+ year of experience 
Job Description:
The Data Architect will be responsible for leading the design, implementation, and maintenance of complex data structures and applications. This role will leverage extensive knowledge and experience of data processes to align the business objectives with architectural design. This position will be held accountable for defining and managing data architecture strategy, standards, guidelines, and processes that meet strategic and tactical goals while ensuring data quality. As part of an Agile team, you collaborate with enterprise architecture, security, digital applications, and Insights & Analytics teams as well as internal stakeholders, cross-functional teams, and external customers and vendors.
Job Description ESSENTIAL DUTIES AND RESPONSIBILITIES  In this role, we are looking for an independent self-starter who will play a key role in designing our data landscape in partnership with data engineering and product ownership. You will work across the organization to ensure that the data in our cloud data warehouse serves our enterprise strategies.
* Responsible for the design of data architecture, data solutions, and any related APIs, and / or ETL, ELT processes to enable rapid delivery of business capabilities
* Work closely with IT teams, enterprise architecture, infrastructure, information security, and business stakeholders to translate business and technical strategies into data-driven solutions
* Act as a technical expert addressing problems related to system and application design, performance, integration, security, data pipelines, etc.
* Conduct research and development based on current trends and technologies related to the industry, data engineering and architecture, data security, and related topics
* Work with developers to build CI/CD pipelines, self-service build tools, and automated deployment processes
* Evaluate software products and provide documented recommendations as needed 
* Provide support and troubleshooting for data platforms. Must be willing to provide escalated on-call support for complicated and/or critical incidents • Participate in the planning process for hardware and software
* Plan and work on internal projects as needed, including legacy system replacement, monitoring and analytics improvements, tool development, and technical documentation
* Provide technical guidance and mentoring for other team members
* Manage and prioritize multiple assignments
* Other duties as assigned by the manager
* Design data models that implement the intended business model
* Develop diagrams representing key data entities and their relationships
* Develop technical diagrams depicting system designs SUPERVISION: The data architect is a high level individual contributor role that will partner across the organization  RELATIONSHIPS
Experience working on large scale enterprise data modernization projects
* Experience building a product from ground up, working with business and project team to develop roadmap
* Advanced understanding of Snowflake, Fivetran, DBT and related technologies
* Experience implementing MDM tools, preferred
* Experience leading data quality and data management practices
* High degree of initiative and capacity to lead multiple priorities of significant scope in a fast-paced environment
* Skillful in communicating with and influencing a wide range of internal and external stakeholders including executive leadership, employees, potential/existing customers, competitors, and business partners
* Strong negotiation, organizational, presentation, writing, and verbal communication skills
* Strong ability to solve problems with creative solutions
* Demonstrated ability to manage adversity and challenging situation

This is a remote position.