ZipRecruiter

Log In

1

Insurance Data Analytics Jobs in Indiana (NOW HIRING)

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 ...

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

$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 ...

next page

Showing results 1-20

All JobsInsurance Data Analytics JobsInsurance Data Analytics Jobs in Indiana

Insurance Data Analytics information

See Indiana salary details

$23

$52

$89

How much do insurance data analytics jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for insurance data analytics in Indiana is $52.10, according to ZipRecruiter salary data. Most workers in this role earn between $41.88 and $59.04 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Insurance Data Analytics position, and why are they important?

To thrive in Insurance Data Analytics, you need a solid understanding of data analysis, statistics, and insurance industry concepts, usually supported by a degree in mathematics, statistics, finance, or a related field. Proficiency with analytical tools like SQL, Python, R, and data visualization platforms (such as Tableau or Power BI), as well as certifications like CPCU or advanced analytics credentials, are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts translate complex data into actionable business insights. These skills are crucial for driving informed decision-making, risk assessment, and operational improvements within insurance organizations.

What are the typical responsibilities of someone working in Insurance Data Analytics?

Professionals in Insurance Data Analytics are responsible for collecting, cleaning, and analyzing large sets of insurance-related data to identify trends, assess risk, and inform business decisions. They commonly develop predictive models, generate reports, and provide actionable insights that help underwriting teams, actuarial staff, and business leaders optimize processes or pricing strategies. Day-to-day tasks may also include collaborating with IT and business units to define data requirements, presenting findings to non-technical stakeholders, and ensuring data integrity. This role often involves a mix of independent analysis and team-oriented projects, offering a dynamic and engaging work environment for problem solvers.

How is data analytics used in insurance?

In insurance, data analytics is used by professionals to assess risk, set premiums, detect fraud, and improve customer segmentation. Analysts utilize tools like statistical models and machine learning algorithms to interpret large datasets, enabling more accurate underwriting and claims management. Strong analytical skills and knowledge of data visualization are essential for effective decision-making in this field.

What does a data analyst do in insurance?

An insurance data analyst collects, processes, and analyzes insurance data to identify trends, assess risks, and support decision-making. They use tools like Excel, SQL, and data visualization software to create reports and models that improve underwriting, claims management, and pricing strategies.

How much does an insurance analyst make?

The average salary for an insurance analyst is around $65,000 to $85,000 per year, depending on experience, location, and industry. Entry-level roles typically start lower, while experienced analysts with specialized skills or certifications can earn higher salaries. Strong analytical skills and proficiency with data tools like Excel or SQL are often required.

Will AI replace a data analyst?

AI can automate routine data processing and analysis tasks, but the role of a data analyst, including those in insurance data analytics, involves interpreting complex data, providing insights, and making strategic decisions that require human judgment. Therefore, AI is more likely to augment rather than fully replace data analysts, who also need skills in data visualization, domain knowledge, and communication. Continuous learning and proficiency with analytics tools remain important for the role.

What is an Insurance Data Analytics job?

An Insurance Data Analytics job involves analyzing large volumes of insurance-related data to identify trends, assess risks, detect fraud, and improve decision-making. Professionals in this field use statistical models, machine learning, and data visualization tools to extract insights that help insurers optimize pricing, enhance customer experience, and reduce losses. They work with claims data, policyholder information, and external data sources to drive business strategy. Strong analytical skills, proficiency in data tools like SQL, Python, or R, and knowledge of insurance principles are essential for success in this role.

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 are popular job titles related to Insurance Data Analytics jobs in Indiana? For Insurance Data Analytics jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Insurance Data Analytics jobs in Indiana look for? The top searched job categories for Insurance Data Analytics jobs in Indiana are:
Insurance Data Analytics jobs near you
Infographic showing various Insurance Data Analytics job openings in Indiana as of July 2026, with employment types broken down into 1% Internship, 89% Full Time, 8% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $108,358 per year, or $52.1 per hour.
Data Analytics Specialist

Data Analytics Specialist

Amentum

Crane, IN • On-site

$100K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago

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.

Apply