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Remote Insurance Data Analytics Jobs in Raleigh, NC

Performs custom analysis. Uses modelling to drive business results with data-based insights and ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Data Engineer

Durham, NC · Remote

$150K/yr

Data lakes Data pipelines Data integration Analytics platforms Data architecture The ideal ... remote but needs to sit in one of the following states: AL, AZ, CA, CO, CT, DE, FL, GA, HI, IL, IN ...

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... with company match, life insurance, and discretionary PTO * Career growth and learning ...

Showing results 41-60

Remote Insurance Data Analytics information

See Raleigh, NC salary details

$23

$53

$91

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

As of Sep 9, 2026, the average hourly pay for remote insurance data analytics in Raleigh, NC is $53.22, according to ZipRecruiter salary data. Most workers in this role earn between $42.74 and $60.29 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 Raleigh, NC?

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

What are popular job titles related to Remote Insurance Data Analytics jobs in Raleigh, NC?

For Remote Insurance Data Analytics jobs in Raleigh, NC, the most frequently searched job titles are:

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

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

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

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

Infographic showing various Remote Insurance Data Analytics job openings in Raleigh, NC as of September 2026, with employment types broken down into 1% Internship, 76% Full Time, 14% Part Time, 1% Temporary, and 8% Contract. Highlights an 100% Remote job distribution, with an average salary of $110,694 per year, or $53.2 per hour.

Lead Lean Six Sigma Black Belt Analyst

Raleigh, NC • Remote

Full-time

Re-posted 5 days ago


Key responsibilities

  • Identify operational excellence improvement opportunities based on data, analytics, and financial goals.

  • Lead and/or coach improvement initiatives to deliver measurable financial and service outcomes.

  • Define KPIs and dashboards tied to operational excellence portfolios and initiatives.


Job description

If you are motivated and believe in the credit union philosophy of "People Helping People," join our team!

Position Overview:

The Lead Lean Six Sigma Black Belt Analyst is a highly skilled and experienced professional who plays a crucial role in driving operational excellence across the Credit Union. The lead will play a key role identifying OPEX opportunities, developing improvement roadmaps tied to organizational strategy and goals, and leading improvement initiatives that deliver tangible business value and operational excellence.

Essential Responsibilities:

  • Weighted 30% - Lead role identifying operational excellence improvement opportunities based on data, analytics, and financial goals. Define and prioritize improvement roadmaps tied to strategic goals and objectives for assigned portfolios.
  • Weighted 30% - Lead and/or coach (black belts) improvement initiatives to deliver against the improvement roadmaps to deliver measurable financial and service outcomes.
  • Weighted 20% - Define KPIs and dashboards tied to operational excellence portfolios and initiatives. Perform benefit validation in partnership with Finance.
  • Weighted 10% - Deliver executive level progress and financial outcome reporting and dashboards for assigned portfolios.
  • Weighted 10% - Develop operational excellence reusable tools, standards, and playbooks.

Required Education & Experience (Knowledge, Skills, & Abilities):

  • Bachelor's degree
  • Min 7 years direct experience
  • Certified Lean Six Sigma black belt
  • Strong background in Operational Excellence, Lean Six Sigma or structured problems solving methodologies
  • Ability to translate data into insights and portfolio development
  • Experience with formal change management methodology (i.e. Prosci, Kotter, CAP, etc..)
  • Proven track record driving improvement initiatives and influencing senior leadership to measurable outcomes
  • Experience influencing and partnering with senior leadership to shape strategy, align priorities, and drive accountability
  • Strong relationship builder at all levels
  • Strong communication skills both writing and verbal
  • Ability to create and deliver executive level presentations

Preferred Education & Experience (Knowledge, Skills, & Abilities):

  • Bachelor's degree in Business, Engineering, Analytics, or related field
  • 7+ years of experience
  • Change Management certification
  • Background in strategy and/or consulting
  • Experience with Power BI and creating executive dashboards
  • Experience with Clarity and JIRA for project and portfolio management
  • Experience with AI and Machine Learning

Job Environment & Physical Requirements:

  • Travel up to 10% of the time
  • Fully Remote

SECU provides equal employment opportunity to all qualified persons regardless of race, color, religion, age, sex, sexual orientation, gender identity, national origin, genetic information, disability, veteran status, or other classification protected by law.

Disclaimer

State Employees' Credit Union reserves the right to fill this role at a higher/lower level based on business need.