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Overnight Insurance Data Analytics Jobs in Indiana

Analyze payment data and account transactions to identify discrepancies, errors, or irregularities ... Our comprehensive benefits include: medical, dental and vision insurance coverage; 100% company ...

Analyze payment data and account transactions to identify discrepancies, errors, or irregularities ... Our comprehensive benefits include: medical, dental and vision insurance coverage; 100% company ...

Analyze payment data and account transactions to identify discrepancies, errors, or irregularities ... Our comprehensive benefits include: medical, dental and vision insurance coverage; 100% company ...

Data Architect

Anderson, IN · On-site +1

$55.25 - $71/hr

You will collaborate with leading professionals in data analysis and processing, as well as in ... You will have private health insurance with dental and accident insurance. * You will be able to ...

Director of Supply Chain Analytics

Evansville, IN · On-site +1

$173K - $196K/yr

Partner with IT and data teams to ensure robust data availability, integrity, and security for ... Life insurance, AD&D, short‑term & long‑term disability, and voluntary benefits * Paid Parental ...

Perform analytics and drive an accountability culture with the commercial teams for the successful ... We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance ...

Perform analytics and drive an accountability culture with the commercial teams for the successful ... We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance ...

Data Engineer

New Albany, IN · On-site +1

$105K - $127K/yr

You will collaborate with leading professionals in data analysis and processing, as well as in ... You will have private health insurance with dental and accident insurance. * You will be able to ...

Bachelor's degree in GIS, Geography, Geospatial Science, Environmental Science, Data Analytics, or ... Our benefits may include extensive medical, disability and life insurance coverage, continuing ...

Bachelor's degree in GIS, Geography, Geospatial Science, Environmental Science, Data Analytics, or ... Our benefits may include extensive medical, disability and life insurance coverage, continuing ...

Design, develop, update, and integrate high-quality, data analytics solutions based on client ... insurance on day one, and 401(k) with company match. This position is not open to candidates ...

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Showing results 1-20

Overnight Insurance Data Analytics information

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 are the most commonly searched types of Insurance Data Analytics jobs in Indiana? The most popular types of Insurance Data Analytics jobs in Indiana are:
What cities in Indiana are hiring for Overnight Insurance Data Analytics jobs? Cities in Indiana with the most Overnight Insurance Data Analytics job openings:
Escrow Coordinator

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 days ago


Allied Solutions rating

7.8

Company rating: 7.8 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

163rd of 278 rated insurance


Job description

We are seeking a meticulous and analytical individual to join our team as an Escrow Coordinator. The ideal candidate will have a keen eye for detail, exceptional analytical skills, and a thorough understanding of escrow loan servicing processes, particularly in handling high-risk accounts. As the main human quality control, you will play a critical role in ensuring accurate payments and mitigating risks associated with loan servicing. The qualifications and responsibilities align with supporting the Escrow Leadership team and contributing to process improvement within the Escrow Operations department.
*Job Duties and Responsibilities:
Research and Quality Oversight (60%)
  • Quality Evaluation: Serve as the primary point of contact for human quality control, ensuring all loan payments are processed accurately and in compliance with company policies and regulatory requirements.
  • Payment Accuracy Analysis: Analyze payment data and account transactions to identify discrepancies, errors, or irregularities. Investigate root causes and implement corrective actions to prevent recurrence.
  • Decision Making: Make informed decisions regarding payment processing, including adjustments, corrections, and exceptions handling. Exercise judgment to resolve complex issues and escalate matters as necessary.
  • Documentation and Reporting: Maintain comprehensive documentation of quality control activities, payment discrepancies, and resolution outcomes.

Client/Escalation Support (20%)
  • Investigate: Conduct a thorough investigation into the root cause of the escalation. Review relevant documents, data, and procedures to understand what went wrong and why.
  • Resolution Plan: Develop a detailed plan to address the escalation. This may involve implementing temporary fixes to mitigate immediate risks and developing long-term solutions to prevent recurrence. If necessary, escalate the issue further within the organization or to external stakeholders, such as regulatory agencies or legal authorities, if standard resolution procedures prove insufficient.
  • Proactively address inquiries, rectify errors, and reconcile discrepancies to uphold accuracy and quality standards, fostering trust and satisfaction among stakeholders.
  • Maintain a high level of accessibility and responsiveness across communication channels, including email, phone, and messaging platforms, to promptly address inquiries, facilitate collaboration, and ensure smooth workflow.
  • Demonstrate flexibility and adaptability by undertaking additional responsibilities and tasks as assigned, contributing to the overall success and cohesion of the department and organization.

Other Workload Support (20%)
  • Act as a mentor and resource for colleagues within the Escrow Operations Department, providing guidance, training, and support to facilitate their professional growth and enhance team performance.
  • Strive to consistently meet or exceed productivity goals, demonstrating commitment to excellence and contributing to the overall success of the department and organization.
  • Identify discrepancies and opportunities for improvement in client loan data processing and insurance data processing, communicating findings to management and collaborating on solutions to drive operational excellence.
  • May take the lead on special projects assigned by supervisors, leveraging expertise in Escrow Operations to drive efficiency and effectiveness.
  • Innovate and implement actionable strategies to streamline processes and optimize outcomes, leveraging sophisticated data analysis techniques to drive continuous improvement and maximize efficiency.
  • Proactively assist team members with their workload, demonstrating a collaborative spirit and willingness to pitch in where needed to ensure smooth operations and timely completion of tasks.
  • Perform other assigned duties.

*Qualifications (Education, Experience, Certifications & KSA):
  • High School Diploma or GED required.
  • Bachelor's degree, Associate's degree, or Vocational/Technical School training/degree preferred
  • 2-3 years of directly related experience required.
  • Analytical Skills: Possess strong analytical abilities for thorough review and analysis of loan files and data, enabling accurate assessment and decision-making.
  • Communication Skills: Demonstrate excellent verbal and written communication skills for effectively presenting findings, articulating solutions, and resolving issues with clarity and professionalism.
  • Attention to Detail: Exhibit a keen attention to detail and a commitment to accuracy in verifying and updating information, ensuring data integrity and compliance with established standards.
  • Independence and Initiative: Display the ability to work independently with minimal supervision, taking initiative to address tasks and challenges proactively while adhering to deadlines and quality standards.
  • Computer Proficiency: Showcase proficiency in using computer systems and conducting web inquiries, leveraging technological tools to enhance efficiency and productivity in daily tasks.
  • Regulatory Knowledge: Possess a solid understanding of escrow servicing regulations and compliance requirements, ensuring adherence to legal and industry standards in all operations.
  • Mentorship Skills: Demonstrate the ability to mentor and support team members, sharing knowledge, providing guidance, and fostering a collaborative and supportive team environment to promote individual and collective success.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, skills, efforts or working conditions associated with a job.
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We offer our employees a robust compensation package! Our comprehensive benefits include: medical, dental and vision insurance coverage; 100% company-paid life and disability coverage, 401k options with company match, three weeks PTO by the end of the first year and much more. Allied proudly promotes from within as part of a strong commitment to providing career growth opportunities for employees of all levels. Our diverse business portfolio allows employees broad career options with the advantage of staying with the same organization.
All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
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