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Remote Insurance Data Analytics Jobs in Louisiana

As a Support Analyst, you'll investigate complex application issues, collaborate with teammates ... Customer issues can span application functionality, data, integrations, environments, databases ...

As a Support Analyst, you'll investigate complex application issues, collaborate with teammates ... Customer issues can span application functionality, data, integrations, environments, databases ...

You will partner closely with business stakeholders, analysts, data engineers, and PMO to deliver scalable reporting solutions, dashboards, and automated analytics that improve operational ...

Support both structured and unstructured data integration, enabling downstream AI and analytics ... CSAA Insurance Group is an equal opportunity employer. #LI-JR1 . The national average salary range ...

Our mission is to reinvent commercial insurance in the mobility space to offer our partners ... Conducts actuarially sound statistical analysis by selecting appropriate data sources and making ...

Use qualitative and quantitative data (analytics, session replay, customer feedback, research) to ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

$20/hr

... and analytics. Sagility has more than 25,000 employees across 5 countries. Job title: Licensed ... This is a seasonal, fully remote opportunity. Schedules, pay rates, program details, and assignment ...

Showing results 41-60

Remote Insurance Data Analytics information

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 Louisiana?

The most popular types of Insurance Data Analytics jobs in Louisiana are:

What are popular job titles related to Remote Insurance Data Analytics jobs in Louisiana?

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

What job categories do people searching Remote Insurance Data Analytics jobs in Louisiana look for?

The top searched job categories for Remote Insurance Data Analytics jobs in Louisiana are:

What cities in Louisiana are hiring for Remote Insurance Data Analytics jobs?

Cities in Louisiana with the most Remote Insurance Data Analytics job openings:

(Remote) Support Analyst

Cayenta

Iowa, LA โ€ข Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 24 days ago


Job description

Cayenta, a division of Harris; is seeking a Support Analyst who will help solve problems that matter.


At Cayenta, Support is about solving problems, building knowledge, and continuously improving how we serve our customers. As a Support Analyst, you'll investigate complex application issues, collaborate with teammates across the organization, and use modern tools-including AI-to help deliver accurate, efficient, and thoughtful solutions.


Customer issues can span application functionality, data, integrations, environments, databases, and communications. Every issue is an opportunity to learn something new. We don't expect you to know every answer on day one-we're looking for someone who is curious, analytical, and motivated to figure things out.


When you encounter something unfamiliar, we expect you to investigate. Search our knowledge base. Review documentation. Collaborate with teammates. Use AI to research, analyze, and challenge your thinking. Test assumptions and keep digging until you understand the problem.


Most importantly, when you learn something new, document it and share it. Every solved problem makes our entire team stronger.


This is your opportunity to deepen your expertise in the solutions used by our CIS customers while developing strong technical, analytical, and customer service skills.
Utility industry experience is required for this role.


This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed, approximately 10%. Candidates must hold a current, valid passport and be legally eligible to travel internationally. This includes either passport based visa exemption or possession of any required travel visas for entry into Canada, the United States, and the Caribbean.


Salary:

60K - 75K


AI & Innovation Mindset

We are committed to leveraging emerging technologies to improve how we work, serve our customers, and drive business outcomes. The successful candidate will demonstrate curiosity and a willingness to actively adopt and leverage AI tools to improve workflows, solve problems, and increase efficiency. Candidates should be comfortable using AI enabled technologies, including copilots, chat based AI assistants, and automation tools, as part of their everyday work while maintaining appropriate judgment, security, and compliance standards.



What your impact will be:

  • Provide timely, accurate, and thorough resolution to customer issues.
  • Monitor the support queue and take ownership of customer issues through resolution or appropriate reassignment.
  • Investigate application, data, integration, architecture, and interface issues.
  • Collaborate with Environment Specialists, Product Management, R&D, Professional Services, and fellow analysts to resolve complex issues.
  • Respond promptly to customers and provide proactive, meaningful updates throughout the life of a ticket.
  • Develop a deep understanding of Cayenta applications and use that knowledge to troubleshoot customer issues and answer functional questions.
  • Leverage AI-enabled tools to research issues, analyze data, identify patterns, draft communications, and improve troubleshooting efficiency while validating all results before they are shared with customers.
  • Apply critical thinking to AI-generated recommendations and remain accountable for the accuracy of information provided.
  • Identify root causes and recommend improvements to customers, Product Management, and internal teams to help prevent recurring issues.
  • Document solutions, troubleshooting techniques, and best practices to expand the team's knowledge base.
  • Understand Support Services agreements and recognize when customer requests fall outside standard support.
  • Identify opportunities to improve our products, processes, and customer experience.

What we are looking for:

  • Enjoys solving complex problems and understanding how systems work.
  • Takes ownership of issues and works toward solutions independently.
  • Is resourceful and willing to use every available tool-including documentation, teammates, testing environments, and AI-to investigate unfamiliar problems.
  • Uses AI to strengthen their analysis rather than replace critical thinking.
  • Is comfortable learning new technologies and adapting to new ways of working.
  • Can analyze information from multiple sources and make sound decisions.
  • Knows when to continue investigating independently and when to collaborate or escalate.
  • Communicates clearly with both technical and non-technical audiences.
  • Contributes to a culture of continuous learning by documenting and sharing knowledge.

Customer Support Qualifications:

  • Experience working in a customer support or technical support environment.
  • Excellent communication skills with the ability to build trust and manage customer expectations.
  • Strong analytical and problem-solving skills.
  • Ability to prioritize and manage multiple initiatives simultaneously.
  • Self-motivated, adaptable, and able to work both independently and collaboratively.
  • Demonstrated willingness to learn and adopt emerging technologies, including AI-enabled tools.

Technical Qualifications:

  • Experience writing and troubleshooting SQL queries.
  • Experience supporting Customer Information Systems (CIS) or other enterprise software applications.
  • Familiarity with relational databases and data analysis.
  • Experience reading application logs, troubleshooting interfaces, or analyzing system behavior is an asset.
  • Understanding of software support concepts, including application configuration, integrations, and data troubleshooting.
  • Experience using AI tools such as ChatGPT, Claude, Microsoft Copilot, or similar platforms for research, troubleshooting, analysis, documentation, or productivity is an asset. More important than experience with a specific tool is the ability to use AI responsibly, validate results, and continuously adapt as technology evolves.


What would make you stand out:

  • University degree or technical college diploma in Computer Science, Software Engineering, Information Technology, Software Development, or a related field.
  • Experience delivering software support or technical services.
  • Experience supporting Customer Information Systems (CIS) or enterprise software.
  • Utility industry experience is an asset.

What we can offer:

  • 3 weeks' vacation and 5 personal days
  • Comprehensive Medical, Dental, and Vision benefits starting from your first day of employment
  • Employee stock ownership and RRSP/401k matching programs
  • Lifestyle rewards
  • Remote work and more!

About Cayenta:

Cayenta is a leading provider of enterprise resource management solutions in the local government, utility and financial industries. Cayenta's products, services and customer relationships provide the foundation for continued innovation and growth.


About Harris:

Harris is a leading provider of mission critical software to the public sector in North America. As a wholly owned subsidiary of Constellation Software Inc. ("CSI", symbol CSU on the TSX), Harris has become the cornerstone for CSI's investment in utility, local government, school districts, public safety, and healthcare software verticals. Our success has been realized through investments in our proprietary software and market expertise. This focus, combined with acquiring businesses that build upon or complement our offerings, has helped drive our success. Harris will continue to growth through reinvestment - both in the people and products that we offer and making investments in acquiring new businesses.


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