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Overnight Insurance Data Analytics Jobs (NOW HIRING)

World Insurance Associates LLC

Data Migration Analyst

$75K - $85K/yr

Company Overview World Insurance Associates ("World") is a unique financial services organization ... Position Overview We are seeking a Data Migration Analyst to support the successful migration of ...

E-Solutions

Reporting Data Analyst

Morristown, NJ · On-site

Reporting Data Analyst Onsite locations: Alpharetta, GA; Charlotte, NC; Chicago, IL; Conshohocken ... Translate insurance business concepts into accurate data logic, metrics, and dimensional ...

E-Solutions

Reporting Data Analyst

Lenexa, KS · On-site

Reporting Data Analyst Onsite locations: Alpharetta, GA; Charlotte, NC; Chicago, IL; Conshohocken ... Translate insurance business concepts into accurate data logic, metrics, and dimensional ...

E-Solutions

Reporting Data Analyst

Alpharetta, GA · On-site

Reporting Data Analyst Onsite locations: Alpharetta, GA; Charlotte, NC; Chicago, IL; Conshohocken ... Translate insurance business concepts into accurate data logic, metrics, and dimensional ...

E-Solutions

Reporting Data Analyst

Charlotte, NC · On-site

Reporting Data Analyst Onsite locations: Alpharetta, GA; Charlotte, NC; Chicago, IL; Conshohocken ... Translate insurance business concepts into accurate data logic, metrics, and dimensional ...

E-Solutions

Reporting Data Analyst

Garden City, NY · On-site

Reporting Data Analyst Onsite locations: Alpharetta, GA; Charlotte, NC; Chicago, IL; Conshohocken ... Translate insurance business concepts into accurate data logic, metrics, and dimensional ...

E-Solutions

Reporting Data Analyst

Mount Juliet, TN · On-site

Reporting Data Analyst Onsite locations: Alpharetta, GA; Charlotte, NC; Chicago, IL; Conshohocken ... Translate insurance business concepts into accurate data logic, metrics, and dimensional ...

E-Solutions

Reporting Data Analyst

Chicago, IL · On-site

ROLE SUMMARY The Reporting Data Analyst partners with business groups across the Property & Casualty (P&C) insurance domain to define and deliver reporting and data extracts requirements. This role ...

FEDRUS GLOBAL LLC

Reporting Data Analyst

Alpharetta, GA · On-site

... Analytics Cloud) Working knowledge of insurance source systems (Guidewire, Genius, SAP) Strong SQL skills and experience with enterprise data warehouses Understanding of dimensional modeling and ...

TecTammina

Data Analyst

Chattanooga, TN

... analyst tool/IDQ Knowledge of XML and other databases like DB2, teradata and SQL ... Experience in insurance data models Qualifications Excellent written and verbal communication ...

EPIC Brokers

Lead Insurance Data Scientist

Summit, NJ · On-site

$150/hr

There are many reasons why EPIC Insurance Brokers & Consultants has become one of the fastest ... Join our Enterprise Data & Analytics team and play a central role in advancing data analysis ...

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Overnight Insurance Data Analytics information

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How much do overnight insurance data analytics jobs pay per year?

As of Jul 8, 2026, the average yearly pay for overnight insurance data analytics in the United States is $178,749.00, according to ZipRecruiter salary data. Most workers in this role earn between $165,500.00 and $191,500.00 per year, depending on experience, location, and employer.

What are Overnight Insurance Data Analytics?

Overnight Insurance Data Analytics refers to the process of analyzing insurance data during overnight shifts or using automated systems to process large volumes of data outside of regular business hours. This ensures that insurance companies can quickly identify trends, detect fraud, and make informed decisions by the start of the next business day. Professionals in this role typically work with claims data, customer information, and risk assessments using advanced analytical tools and software. The goal is to improve operational efficiency and support decision-making processes.

What unique challenges might I encounter working in an overnight insurance data analytics role?

Working overnight in insurance data analytics can present unique challenges, including adjusting to non-traditional work hours and maintaining effective communication with daytime teams. You may often handle urgent data requests or last-minute reporting, which requires strong problem-solving skills and the ability to work independently. Additionally, you’ll likely need to coordinate with colleagues across different time zones and shifts to ensure seamless handoffs and continuity in analytics projects. Adapting to the overnight schedule while maintaining high attention to detail and data integrity is essential for success in this role.

What is the difference between Overnight Insurance Data Analytics vs Underwriting Analyst?

AspectOvernight Insurance Data AnalyticsUnderwriting Analyst
CredentialsBachelor's in Data Science, Statistics, or related field; certifications like CAP, CPCU beneficialBachelor's in Business, Finance, or related field; certifications like CPCU or ARM advantageous
Work EnvironmentData centers, analytics teams, remote or office settingsInsurance companies, underwriting departments, office settings
Industry UsageFocuses on analyzing insurance data overnight to support decision-makingEvaluates risks and determines policy terms for insurance applications

While both roles involve insurance data, Overnight Insurance Data Analytics primarily focuses on analyzing data during overnight shifts to inform business decisions, whereas Underwriting Analysts assess risks and set policy terms. The roles share similar credentials but differ in daily tasks and work environment.

What are the key skills and qualifications needed to thrive as an Overnight Insurance Data Analytics professional, and why are they important?

To excel in Overnight Insurance Data Analytics, you need strong analytical abilities, proficiency in statistical methods, and a background in mathematics, statistics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and insurance-specific software is often required, along with experience in using data visualization platforms like Tableau or Power BI. Attention to detail, problem-solving skills, and the ability to communicate findings clearly are essential soft skills for this role. These competencies are vital for accurately interpreting large datasets during non-standard hours, supporting timely business decisions, and identifying trends or anomalies that impact insurance operations.

Is 40 too late for data science?

For an Overnight Insurance Data Analytics role, age is not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on skills, experience, and continuous learning, such as mastering tools like SQL, Python, or R, and gaining relevant certifications. Age should not deter pursuing a data analytics career at 40 or older.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but the role of a data analyst, including an Overnight Insurance Data Analytics professional, involves interpreting complex data, providing insights, and making strategic decisions that require human judgment. AI tools are used to enhance efficiency, but they do not fully replace the need for skilled analysts who understand business context and can communicate findings effectively.

Can a data analyst work at night?

A data analyst, including those working in insurance data analytics, can work night shifts if the employer offers overnight or flexible schedules. Some roles require 24/7 coverage or support for global operations, making night work possible, especially in environments with real-time data monitoring or client support. Skills in remote collaboration tools and time management are helpful for night shift work.

What does a data analyst do in insurance?

A data analyst in insurance collects, processes, and analyzes data related to policies, claims, and customer information to identify trends, assess risks, and support decision-making. They often use tools like Excel, SQL, and data visualization software to create reports and insights that help improve underwriting, pricing, and fraud detection.
What cities are hiring for Overnight Insurance Data Analytics jobs? Cities with the most Overnight Insurance Data Analytics job openings:
What are the most commonly searched types of Insurance Data Analytics jobs? The most popular types of Insurance Data Analytics jobs are:
What states have the most Overnight Insurance Data Analytics jobs? States with the most job openings for Overnight Insurance Data Analytics jobs include:
Overnight Insurance Data Analytics jobs near you
P&C Insurance Lead or Data Analytics Engagement Manager( P&C) - US - Remote

P&C Insurance Lead or Data Analytics Engagement Manager( P&C) - US - Remote

Lorven Technologies

Remote

Full-time

Re-posted 15 days ago

Job description

Role: P&C Insurance Lead or Data Analytics Engagement Manager( P&C)
Location: US - Remote
Fulltime Role
Job description:
  • Client Relationship Management: Serve as the primary point of contact for key P&C insurance clients, managing expectations, understanding their business needs, and ensuring high satisfaction with analytics and AI-driven solutions.
  • Strategic Leadership: Lead and support strategic initiatives and roadmap development for analytics, AI, and digital transformation projects. Collaborate with senior leadership and clients to define project objectives and deliverables.
  • Data & Analytics Strategy: Oversee the application of advanced data analytics and AI solutions to solve complex challenges within the insurance space. Guide teams in developing data-driven insights that inform decision-making for clients.
  • Project Delivery & Execution: Ensure the successful and timely delivery of analytics projects, including P&C insurance data models, AI algorithms, dashboards, and reporting tools. Ensure all projects are aligned with client goals and industry standards.
  • Stakeholder Engagement: Act as a trusted advisor to clients, managing communication and expectations while keeping internal stakeholders updated on project progress, challenges, and successes.
  • Client Growth & Business Development: Work closely with the sales and business development teams to identify new opportunities for expanding services to existing clients. Play a key role in proposals, RFP responses, and new business initiatives.
  • Domain Expertise in Insurance Analytics: Leverage your expertise in P&C insurance to identify client pain points, emerging trends, and analytics solutions that drive operational efficiency and competitive advantage.
  • Technical Expertise: Utilize advanced analytics tools and techniques, including SQL, Power BI, SAS, and Generative AI, to extract insights and build data solutions. Guide teams in data processing, modeling, and visualization best practices.
  • Solution Design & Innovation: Develop and implement innovative analytics solutions to enhance underwriting, claims, and pricing strategies. Work closely with cross-functional teams to incorporate analytics into business processes and decision-making.
  • Performance Reporting & Insights: Design and deliver performance dashboards, reports, and presentations that translate complex data into actionable insights, facilitating data-driven decision-making for clients.
  • Oversee organizational digital analytics. Lead highimpact initiatives. Ensure alignment with organizational goals. Provide executive guidance.

Candidate Profile:
  • Education: Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field. An advanced degree is preferred.
  • Experience: 10 - 15 years of experience in data analytics, with a strong focus on insurance analytics. Expertise in the Property & Casualty (P&C) domain is strongly preferred.
  • Technical Skills:
  • Proficiency in SQL, Power BI, and SAS.
  • Experience with Generative AI and other advanced data analytics tools.
  • Strong skills in data modeling, visualization, and data-driven decision-making.
  • Leadership Skills: Proven experience in managing and developing high-performance teams.
  • Analytical Thinking & Problem Solving: Ability to think strategically, analyze complex data, and provide innovative solutions to meet client objectives.
  • Preferred Skills: Exposure to other analytical tools and languages (Python, R) is a plus.
  • Familiarity with machine learning and AI algorithms relevant to the insurance domain.
  • Experience in consulting or with a professional services firm is an advantage.
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About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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