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Remote Insurance Data Analytics Jobs in Concord, NC

Toppan

IT Data Integrations Lead

Concord, NC · On-site +1

The Data Integration Lead is a critical member of the Toppan IT Data & Analytics team, responsible ... This is a REMOTE position located out of EST or CST Time Zone We'd love to hear from you if:

Kemper

Data Scientist

Charlotte, NC · On-site +1

Prior experience in insurance, financial services, pricing, risk modeling, or a related analytical ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

Addison Group

Agentic AI Engineer

Charlotte, NC · Remote

$140K - $175K/yr

Charlotte, NC with a hybrid weekly schedule (3 Days Onsite/2 Days Remote) Status: Salaried, Exempt ... insurance data, summarize clinical or operational records, automate procurement variance analysis ...

Cnx

Business Analyst Automotive (Remote)

Concord, NC · Remote

With unique data and insights, deep industry expertise, and advanced technology solutions, we're ... Have experience with Tier 1 or Tier 2 business intelligence or analytics application * Have ...

Airspace

FP&A Analyst

Charlotte, NC · On-site +1

$70K - $80K/yr

Works closely with Accounting, Revenue and Operations, People/HR, and the Data & Analytics team, as well as departmental budget owners across the business. Location: Carlsbad, CA (Hybrid) or Remote ...

Munich Re

Data Scientist

Charlotte, NC · On-site +1

Data Scientist: 2 or more years of data science/predictive analytics experience in (re)insurance or 4 or more years predictive modeling experience in another industry. * Sr. Data Scientist: 4 or more ...

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All JobsInsurance Data Analytics JobsRemote Insurance Data Analytics JobsRemote Insurance Data Analytics Jobs in Concord, NC

Remote Insurance Data Analytics information

See Concord, NC salary details

$22

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$87

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

As of Sep 2, 2026, the average hourly pay for remote insurance data analytics in Concord, NC is $50.99, according to ZipRecruiter salary data. Most workers in this role earn between $40.96 and $57.74 per hour, depending on experience, location, and employer.

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.

What are the key skills and qualifications needed to thrive as a remote insurance data analytics professional?

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.

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 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 are the most commonly searched types of Insurance Data Analytics jobs in Concord, NC?

The most popular types of Insurance Data Analytics jobs in Concord, NC are:

What job categories do people searching Remote Insurance Data Analytics jobs in Concord, NC look for?

The top searched job categories for Remote Insurance Data Analytics jobs in Concord, NC are:

What cities near Concord, NC are hiring for Remote Insurance Data Analytics jobs?

Cities near Concord, NC with the most Remote Insurance Data Analytics job openings:

Remote Insurance Data Analytics jobs near you

IT Data Integrations Lead

Toppan

Concord, NC • On-site, Remote

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

TOPPAN Packaging Americas specializes in designing and manufacturing sustainable, high-performance flexible and thermoformed packaging solutions for the food, beverage, medical and consumer goods industries. We offer products like transparent high barrier films, pouches, clamshells and trays, utilizing advanced technology to enhance product safety, visibility and environmental sustainability.


TOPPAN Packaging Americas operates as part of the global TOPPAN group, with 22 manufacturing facilities across North America, Latin America and Europe.


Want to learn more? Visit us at packaging.toppan.com


Summary Description:

The Data Integration Lead is a critical member of the Toppan IT Data & Analytics team, responsible for implementing and supporting data integrations that power our critical enterprise applications and Analytics platforms. This role ensures timely, high-quality data solution configuration and integration, driving employee productivity and directly impacting Toppan's businesses and functional areas.


As a subject matter expert, the Data Integration Lead partners with external vendors/partners, internal stakeholders, and technical teams to enable seamless data exchange between all Toppan applications and platforms. This role is essential to sustaining data democratization and availability and supporting decision-making across the entire business.


What you'll be doing:

  • Lead the configuration and delivery of complex data integrations while ensuring compliance with data security standards.
  • Implement APIs, event-driven integrations, and batch processes to support business and customer needs.
  • Serve as the subject matter expert on data integration for internal stakeholders and projects.
  • Manage and optimize ETL/ELT processes, ensuring high data quality, consistency, and availability.
  • Develop and maintain integration documentation, best practices, and process improvements to increase efficiency and reduce risk.
  • Act as the Enterprise Architect and maintain all critical documentation in support of Toppan's enterprise applications.
  • Troubleshoot and resolve complex data integration issues quickly while maintaining proactive communication with stakeholders.
  • Provide technical mentorship and guidance to junior team members, fostering their growth and strengthening team capabilities.

This is a REMOTE position located out of EST or CST Time Zone


We'd love to hear from you if:


  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience).
  • 5+ years of experience in data integration, ETL development, or data engineering, preferably in a manufacturing IT environment.
  • Hands-on experience with Mulesoft, SFTP/FTP, Azure Data Factory, Azure DevOps.
  • Hands-on experience developing and maintaining an enterprise architecture strategy and related artifacts.
  • Strong knowledge of SQL, data mapping, and ETL tools/processes.
  • Demonstrated ability to manage multiple projects simultaneously while maintaining high quality and timely delivery.
  • Excellent problem-solving skills with the ability to translate complex technical concepts into business-friendly terms.
  • Strong interpersonal and communication skills with experience working directly with cross-functional teams.
  • Commitment to handling Toppan data securely.

Preferred Qualifications:

  • Experience with cloud platforms (AWS, Azure, GCP) and related data integration tools.
  • Familiarity with CRM and marketing platforms (Salesforce, Hubspot).
  • Familiarity with ERP applications (Microsoft D365).

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience).
  • 5+ years of experience in data integration, ETL development, or data engineering, preferably in a manufacturing IT environment.
  • Hands-on experience with Mulesoft, SFTP/FTP, Azure Data Factory, Azure DevOps.
  • Hands-on experience developing and maintaining an enterprise architecture strategy and related artifacts.
  • Strong knowledge of SQL, data mapping, and ETL tools/processes.
  • Demonstrated ability to manage multiple projects simultaneously while maintaining high quality and timely delivery.
  • Excellent problem-solving skills with the ability to translate complex technical concepts into business-friendly terms.
  • Strong interpersonal and communication skills with experience working directly with cross-functional teams.
  • Commitment to handling Toppan data securely.

Preferred Qualifications:

  • Experience with cloud platforms (AWS, Azure, GCP) and related data integration tools.
  • Familiarity with CRM and marketing platforms (Salesforce, Hubspot).
  • Familiarity with ERP applications (Microsoft D365).

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