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Remote Insurance Data Analytics Jobs in Arkansas

Arkansas Blue Cross

Data Analyst

Little Rock, AR · On-site +1

... insurance, managed care, or healthcare technology-related organization will be considered. EXPERIENCE Minimum three (3) years' data analytics experience, which includes data extraction, data ...

Arkansas Blue Cross

Data Analyst

Little Rock, AR · On-site +1

... insurance, managed care, or healthcare technology-related organization will be considered. EXPERIENCE Minimum three (3) years' data analytics experience, which includes data extraction, data ...

Arkansas Blue Cross

Data Analyst

Little Rock, AR · On-site +1

... insurance, managed care, or healthcare technology-related organization will be considered. EXPERIENCE Minimum three (3) years' data analytics experience, which includes data extraction, data ...

PNC Bank

Insurance Associate - Midland

Little Rock, AR · On-site +1

This position may be eligible for remote work in select geographic locations, subject to approval ... Property Data Analysis, Regulatory Environment - Financial Services, Risk Assessment Work ...

CareAbout

Remote Reporting Relationships: This position reports to CareAbout Health's SVP Medical Economics ... BA/BS required in Data Management, Information Systems, Business Analytics, Healthcare, Computer ...

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 ...

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Remote Insurance Data Analytics information

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 are the most commonly searched types of Insurance Data Analytics jobs in Arkansas? The most popular types of Insurance Data Analytics jobs in Arkansas are:
What are popular job titles related to Remote Insurance Data Analytics jobs in Arkansas? For Remote Insurance Data Analytics jobs in Arkansas, the most frequently searched job titles are:
What job categories do people searching Remote Insurance Data Analytics jobs in Arkansas look for? The top searched job categories for Remote Insurance Data Analytics jobs in Arkansas are:
What cities in Arkansas are hiring for Remote Insurance Data Analytics jobs? Cities in Arkansas with the most Remote Insurance Data Analytics job openings:
Remote Insurance Data Analytics jobs near you

Data Analyst

Arkansas Blue Cross

Little Rock, AR • On-site, Remote

Full-time

Posted 7 days ago

Job description

To learn more about Arkansas Blue Cross and Blue Shield Hiring Policies, please click here.Job SummaryThis position provides critical support for the quality, validity and integrity of confidential data to use in decision making and organizational efficiency improvement initiatives. The Data Analyst retrieves, analyzes and summarizes business, medical, operations, financial, sales, customer and/or economic data in order to develop competitive and business intelligence, to optimize effectiveness and/or predict business outcomes. Incumbent identifies, analyzes, and interprets trends or patterns and prepares ongoing reports and data visualizations in order to support business decisions.Requirements

EDUCATION

Bachelor's degree in Science, Technology, Math, Business, Data Science/Informatics, Actuarial Science, Healthcare Management, or other related field. In lieu of degree, five (5) years' health-related, non-clerical experience with an insurance, managed care, or healthcare technology-related organization will be considered.

EXPERIENCE

Minimum three (3) years' data analytics experience, which includes data extraction, data manipulation, repository building and data interpretation. OR applicable Masters in related field with minimum one (1) years' data analytics experience.

Experience with rational database i.e. SAS, SQL, AQT and MS Windows based query software.

Experience with the application of data management and analysis tools including but not limited to MS Access, SAS, SQL, preferred.

Presentation Experience preferred

ESSENTIAL SKILLS & ABILITIES

Process Information

Deductive Reasoning

Category Flexibility

Case-Based Reasoning

Problem Solving

Report Creation

Report Processing

Report Presentations

Objectives Oriented

Strategic Approach

Critical Thinking

Organizing

Prioritization

Planning Activities

MySQL

IBM Cognos Impromptu

Mathematical Reasoning

Problem Sensitivity

Interpersonal Communication

Applied Research

External Communication

Sound Judgment

Decision Making

Written Expression

Written Comprehension

Information Collection

Analyze Information

Skills Analytical Decision Making Analytical Problem Solving Collaborative Communications Critical Reasoning Critical Thinking Cross-Functional Communications Cross-Functional Planning Data Analysis Database Queries Data Management Deductive Reasoning IBM Cognos Impromptu Information Interpretation Management Techniques Mathematical Reasoning MySQL Database Administration Object Classification Problem Sensitivity Researching Security Awareness Sound Judgment Strategic Planning Written CommunicationResponsibilities Consults with users or decision makers to identify data sources, required data elements, and/or data validation standards. Integrates data from multiple data sources or functional areas, ensures data accuracy and integrity, and updates data as needed to develop statistics and design methodologies to be used for decision making and new business initiatives. Interprets data to identify business trends, conduct root cause analysis of business problems, and suggest areas for process improvement. Manages and uses ad-hoc report requests and findings to develop reporting processes. Serves on special projects.CertificationsSecurity Requirements

This position is identified as level three (3). This position must ensure the security and confidentiality of records and information to prevent substantial harm, embarrassment, inconvenience, or unfairness to any individual on whom information is maintained. The integrity of information must be maintained as outlined in the company Administrative Manual.

Segregation of Duties

Segregation of duties will be used to ensure that errors or irregularities are prevented or detected on a timely basis by employees in the normal course of business. This position must adhere to the segregation of duties guidelines in the Administrative Manual.

Employment TypeRegular

ADA Requirements

2.1 General Office Worker, Semi-Active, Campus Travel - Someone who normally works in an office setting or remotely, periodically has lifting and carrying requirements up to 40 lbs and routinely travels for work within walking distance of location of primary work assignment as essential functions of the job.

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