2

Remote Insurance Data Analytics Jobs in North Carolina

Sr Data Analyst

Raleigh, NC · On-site +1

$83K - $105K/yr

This position is 100% remote and would require working from a home office, in which candidates may ... Create and maintain any additional ad hoc analytics requests by the client, corporate office and ...

Senior Auditor - Data Management

Charlotte, NC · On-site +1

$75K - $92K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... The role requires the ability to independently analyze large and complex datasets using analytical ...

Senior Auditor - Data Management

Charlotte, NC · On-site +1

$79K - $97K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... The role requires the ability to independently analyze large and complex datasets using analytical ...

Showing results 21-40

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?

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 North Carolina? The most popular types of Insurance Data Analytics jobs in North Carolina are:
What are popular job titles related to Remote Insurance Data Analytics jobs in North Carolina? For Remote Insurance Data Analytics jobs in North Carolina, the most frequently searched job titles are:
What job categories do people searching Remote Insurance Data Analytics jobs in North Carolina look for? The top searched job categories for Remote Insurance Data Analytics jobs in North Carolina are:
What cities in North Carolina are hiring for Remote Insurance Data Analytics jobs? Cities in North Carolina with the most Remote Insurance Data Analytics job openings:
Infographic showing various Remote Insurance Data Analytics job openings in North Carolina as of August 2026, with employment types broken down into 5% Internship, 66% Full Time, 10% Part Time, and 19% Contract. Highlights an 100% Remote job distribution.

Enterprise Data Analyst II

First Citizens Bank

Charlotte, NC • Remote

Full-time

Re-posted yesterday


First Citizens Bank rating

7.4

Company rating: 7.4 out of 10

Based on 106 frontline employees who took The Breakroom Quiz

108th of 170 rated banks


Job description

Overview

This is a remote role that may only be hired in the following locations: (Charlotte, NC, Raleigh, NC or Phoenix, AZ)

This position leads Bank initiatives that improve enterprise data quality, governance, reporting, and analytics at an advanced level of ability and technical expertise. Drives positive change across the Bank through technical innovation and continuous improvement initiatives, as well as through cross-functional partnership with other business units. Provides expert consultation to team members, the Information Technology department, and other stakeholders on strategies that achieve data management goals. May provide leadership to less experienced consultants in the work group. 


Responsibilities

Data Enhancement & Analytics 

  • Leads the implementation of enhancements to enterprise data quality, storage, and management within the Enterprise Data Warehouse. 
  • Executes initiatives for data profiling, issue resolution, and system fixes. 
  • Supports and delivers special data-focused initiatives aligned to business needs. 

Business Support & Governance 

  • Enforcesenterprise data policies, standards, and governance practices. 
  • Conducts month-end data validations to ensure accuracy, completeness, and readiness for business use. 
  • Collaborates with stakeholders to identify gaps and improve data management processes. 
  • Provides training, guidance, and mentorship to junior team members as needed. 

Business Strategy & Stakeholder Collaboration 

  • Supports the development and execution of enterprise data strategy and roadmap. 
  • Works cross-functionally to strengthen data management capabilities across business units. 
  • Maintains current knowledge of emerging technologies, tools, and trends within financial services and data management. 
  • Serves as a liaison between business, data, and technology teams to ensure alignment and successful delivery. 

Documentation & Data Management 

  • Creates and maintains technical documentation including: 
  • Source-to-target mappings 
  • Data dictionaries 
  • Data lineage and governance artifacts 
  • Develops and manages centralized, business-critical reporting assets. 

Agile Delivery & Execution 

  • Achieves Agile cadence by actively participating in all ceremonies (sprint planning, daily stand-ups, reviews, and retrospectives). 
  • Ensures work is managed consistently through Agile frameworks and best practices. 
  • Performs accurate estimation, backlog refinement, and capacity planning to support reliable delivery. 

Backlog Quality & Delivery Readiness 

  • Establishes and enforces a Definition of Ready (DoR) for all backlog items. 
  • Ensures at least 90% of user stories meet DoR standards prior to sprint intake, including: 
  • Clear linkage to parent Jira issue types 
  • Well-defined acceptance criteria 
  • User test cases 
  • Data mapping requirements 
  • Improves delivery efficiency and reduces rework through consistent backlog quality standards. 

Outcome Focus 

  • Delivers high-quality, reliable enterprise data solutions. 
  • Improves data integrity, governance, and reporting accuracy. 
  • Strengthens Agile delivery discipline and predictability. 
  • Enables better business decision-making through trusted data and analytics. 

Qualifications

Bachelor's Degree and 4 years of experience in Data Management, Financial Analysis, or similar OR High School Diploma or GED and 8 years of experience in Data Management, Financial Analysis, or similar

Preferred:

  • Experience as Strong Data analyst in Agile environment 
  • Deep expertise and 15+ years of experience in Data Analysis, Data warehouse and Analytics  
  • Hardcore data analyst with broad experience desired in data warehousing, documenting business processes, data governance & data integration  
  • Data wizard with hands on data analysis, profiling, and advanced PL/SQL skills 
  • Excellent presentation, listening, and writing skills with ability to lead workstreams independently 
  • Experience with data modelling, data analysis, data visualization, API’s and real time services preferred 
  • Full understanding and hands on experience of waterfall and agile development practices  
  • Excellent written and verbal communication skills with both internal and external stakeholders 
  • Domain experience in Customer Data, Marketing Data and systems is highly preferred 

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Qualifications:

Bachelor's Degree and 4 years of experience in Data Management, Financial Analysis, or similar OR High School Diploma or GED and 8 years of experience in Data Management, Financial Analysis, or similar

Preferred:

  • Experience as Strong Data analyst in Agile environment 
  • Deep expertise and 15+ years of experience in Data Analysis, Data warehouse and Analytics  
  • Hardcore data analyst with broad experience desired in data warehousing, documenting business processes, data governance & data integration  
  • Data wizard with hands on data analysis, profiling, and advanced PL/SQL skills 
  • Excellent presentation, listening, and writing skills with ability to lead workstreams independently 
  • Experience with data modelling, data analysis, data visualization, API’s and real time services preferred 
  • Full understanding and hands on experience of waterfall and agile development practices  
  • Excellent written and verbal communication skills with both internal and external stakeholders 
  • Domain experience in Customer Data, Marketing Data and systems is highly preferred 

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Education:UNAVAILABLEEmployment Type: FULL_TIME

What First Citizens Bank employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom