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Overnight Insurance Data Analytics Jobs in Indiana

Amentum

Data Analytics Specialist

Crane, IN · On-site

$100K - $160K/yr

We are seeking a highly skilled Data Analytics Specialist with 2-5 years of experience in data ... Disability and life insurance * Pet insurance Note: Benefits may vary based on employment type ...

Pae

Data Analytics Specialist

Crane, IN · On-site

$100K - $160K/yr

We are seeking a highly skilled Data Analytics Specialistwith 2-5 years of experiencein data ... Disability and life insurance * Pet insurance Note: Benefits may vary based on employment type ...

RushShelby Energy

Process & Data Analyst

Manilla, IN · On-site

Data Analytics, Statistics, Computer Science, Computer Engineering, Business, or related field ... or overnight stays * Must be able and willing to work overtime as needed and/or required for ...

Old National Bank

Data Analyst, Sr

Evansville, IN · On-site

$60K - $121K/yr

... insurance. 401K, continuing education opportunities and an employee assistance program are also ... We are looking for an innovative senior data analytics developer who has a knack for seeing ...

Old National Bank

Data Analyst, Sr

Evansville, IN · On-site

$60K - $121K/yr

... insurance. 401K, continuing education opportunities and an employee assistance program are also ... We are looking for an innovative senior data analytics developer who has a knack for seeing ...

Old National Bank

Data Analyst, Sr

Evansville, IN · On-site

$60K - $121K/yr

... insurance. 401K, continuing education opportunities and an employee assistance program are also ... We are looking for an innovative senior data analytics developer who has a knack for seeing ...

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All JobsInsurance Data Analytics JobsOvernight Insurance Data Analytics JobsOvernight Insurance Data Analytics Jobs in Indiana

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:
Overnight Insurance Data Analytics jobs near you
Data Analytics Specialist

Data Analytics Specialist

Amentum

Crane, IN • On-site

$100K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Are you looking for an exciting, innovative company with over 100 years of excellence and commitment to ethical business? Amentum is a trusted partner to United States government agencies, allied governments, and corporations worldwide supporting critical programs across a broad range of domains. We are seeking a highly skilled Data Analytics Specialist with 2-5 years of experience in data engineering and analytics. The ideal candidate will have strong expertise with toolsets for data mining, statistical modeling, optimization, and data visualization for the purpose of driving engineering insights.
Key Responsibilities
  • Design, develop, and optimize scalable data processing applications.
  • Write clean, efficient, and reusable Python code for data engineering and analytics tasks.
  • Analyze complex datasets to identify trends, patterns, and actionable engineering insights.
  • Implement data transformations, aggregations, and workflows to support analytics and reporting.
  • Ensure high data quality, integrity, and reliability across large-scale datasets.
  • Collaborate with scientists, engineers, analysts, and cross-functional teams to optimize data workflows and integrate solutions into existing systems.
  • Gather requirements from stakeholders and translate them into effective data solutions.
  • Participate in code reviews and uphold high coding standards and best practices.
  • Mentor junior team members and actively contribute to knowledge sharing within the team.
  • Stay current with emerging technologies and best practices in data automation, statistical simulation, and data visualization.

Requirements
  • 2-5 years of hands-on experience in data engineering or analytics roles.
  • Bachelor of Science or advanced degree from an ABET accredited school.
  • Strong proficiency in Python.
  • Excellent problem-solving skills and attention to detail.
  • Ability to collaborate effectively with technical and non-technical stakeholders.
  • Must have the ability to obtain and maintain a TS/SCI US Government Clearance. Interim Secret clearance required to start. Please note US Citizenship is required to obtain a Secret/ TS/SCI Clearance.
  • Experience mentoring junior developers is a plus.

Compensation Details:
$100,000 -$160,000 annually
The compensation range or hourly rate listed for this position is provided as a good-faith estimate of what the company intends to offer for this role at the time this posting was issued. Actual compensation may vary based on factors such as job responsibilities, education, experience, skills, internal equity, market data, applicable collective bargaining agreements, and relevant laws.
Benefits Overview:
Our health and welfare benefits are designed to support you and your priorities. Offerings include:
  • Health, dental, and vision insurance
  • Paid time off and holidays
  • Retirement benefits (including 401(k) matching)
  • Educational reimbursement
  • Parental leave
  • Employee stock purchase plan
  • Tax-saving options
  • Disability and life insurance
  • Pet insurance

Note: Benefits may vary based on employment type, location, and applicable agreements. Positions governed by a Collective Bargaining Agreement (CBA), the McNamara-O'Hara Service Contract Act (SCA), or other employment contracts may include different provisions/benefits.
Original Posting:
06/24/2026 - Until Filled
Amentum anticipates this job requisition will remain open for at least three days, with a closing date no earlier than three days after the original posting. This timeline may change based on business needs.
Amentum is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, sex, sexual orientation, pregnancy (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, ancestry, United States military or veteran status, color, religion, creed, marital or domestic partner status, medical condition, genetic information, national origin, citizenship status, low-income status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law. Learn more about your rights under Federal laws and supplemental language at Labor Laws Posters.

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