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Insurance Data Analyst Jobs in Indiana (NOW HIRING)

Allied Solutions LLC

Data Science Intern

Carmel, IN · On-site

The internship emphasizes developing analytical, statistical, and problem-solving skills while ... Our comprehensive benefits include: medical, dental and vision insurance coverage; 100% company ...

Allied Solutions LLC

Data Science Intern

Carmel, IN · On-site

The internship emphasizes developing analytical, statistical, and problem-solving skills while ... Our comprehensive benefits include: medical, dental and vision insurance coverage; 100% company ...

USfalcon

Data Scientist, Craftsman

Fort Wayne, IN · On-site

$150 - $200/hr

... data analytics, or an equivalent field. REQUIRED CLEARANCE: Top Secret/SCI TRAVEL: TBD Benefits Offered * medical * dental * vision * life insurance * short-term disability * long-term disability ...

Allied Solutions

Escrow Coordinator

Carmel, IN · On-site

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

Allied Solutions LLC

Escrow Coordinator

Carmel, IN · On-site

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

Allied Solutions LLC

Escrow Coordinator

Carmel, IN · On-site

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

Allied Solutions LLC

Escrow Coordinator

Carmel, IN · On-site

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

Allied Solutions LLC

Escrow Coordinator

Carmel, IN · On-site

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

Garrettgp

Data Scientist - JETARS

Fort Wayne, IN · On-site

$125 - $150/hr

... insurance. Position Summary The Garrett Group is seeking an experienced Data Science and Analytics Professional to support advanced analytical initiatives focused on large language model (LLM ...

Indeed

Senior Insurance Analyst

Indianapolis, IN · On-site

... Analyst II to join our Global Insurance & Risk Management team. In this role, you will drive ... You will leverage data-driven insights to proactively surface operational exposures, design ...

GMV

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 ...

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Showing results 41-60

All JobsInsurance Data Analyst JobsInsurance Data Analyst Jobs in Indiana

Insurance Data Analyst information

See Indiana salary details

$32.4K

$78.6K

$129.4K

How much do insurance data analyst jobs pay per year?

As of Sep 9, 2026, the average yearly pay for insurance data analyst in Indiana is $78,637.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $92,300.00 per year, depending on experience, location, and employer.

What does an insurance data analyst do?

An Insurance Data Analyst is responsible for collecting, processing, and analyzing data related to insurance policies, claims, customer behavior, and market trends. They use statistical tools and software to identify patterns, assess risks, and provide actionable insights that help insurance companies make informed decisions. Their work supports pricing strategies, fraud detection, customer retention, and overall business performance. Insurance Data Analysts often collaborate with underwriters, actuaries, and business managers to optimize processes and improve profitability.

What are the key skills and qualifications needed to thrive as an insurance data analyst?

To thrive as an Insurance Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in mathematics, finance, or a related field, often supported by a relevant degree. Familiarity with data analysis tools such as SQL, Excel, Python, and data visualization platforms, as well as knowledge of insurance-specific databases and certifications like CPCU or AIDA, is highly valued. Attention to detail, problem-solving, and effective communication are crucial soft skills for interpreting complex data and presenting insights to stakeholders. These skills ensure accurate risk assessment, data-driven decision-making, and effective support of business objectives in the insurance industry.

How does an insurance data analyst typically collaborate with underwriters and actuaries?

Insurance Data Analysts frequently work alongside underwriters and actuaries to provide data-driven insights that inform risk assessment and pricing decisions. Analysts gather, clean, and interpret large sets of policyholder and claims data, then present actionable findings through reports or dashboards. Regular meetings and joint projects ensure that underwriters and actuaries have the most accurate, up-to-date information to make decisions, and that data models align closely with business needs. Strong communication and teamwork skills are essential for success in this collaborative environment.

What is the difference between Insurance Data Analyst vs Actuary?

AspectInsurance Data AnalystActuary
Required CredentialsBachelor's degree in statistics, data science, or related field; often certifications like CAP or CPCUBachelor's degree in mathematics, statistics, or actuarial science; professional actuarial exams and credentials (e.g., ASA, FSA)
Work EnvironmentData analysis teams within insurance companies, focusing on data modeling and reportingActuarial departments, focusing on risk assessment, pricing, and reserving
Employer & Industry UsageInsurance companies, brokers, and consulting firmsInsurance companies, consulting firms, government agencies

While both roles involve working with insurance data, Insurance Data Analysts focus on data collection, analysis, and reporting, whereas Actuaries specialize in risk modeling and financial forecasting using advanced mathematics and actuarial exams. The roles often collaborate but serve different strategic functions within insurance organizations.

How much does an insurance data analyst for an insurance company make?

An insurance data analyst typically earns between $60,000 and $85,000 annually, depending on experience, location, and education. Entry-level positions may start lower, while experienced analysts with advanced skills or certifications can earn higher salaries. The role often requires proficiency in data analysis tools like SQL and Excel, and knowledge of insurance industry data.

What are popular job titles related to Insurance Data Analyst jobs in Indiana?

For Insurance Data Analyst jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Insurance Data Analyst jobs in Indiana look for?

The top searched job categories for Insurance Data Analyst jobs in Indiana are:

Insurance Data Analyst jobs near you
Infographic showing various Insurance Data Analyst job openings in Indiana as of September 2026, with employment types broken down into 1% As Needed, 68% Full Time, 27% Part Time, and 4% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $78,637 per year, or $37.8 per hour.

Data Science Intern

Carmel, IN • On-site

Allied Solutions LLC
Finance and Insurance • 1 - 5K employees
Learn more about Allied Solutions LLCexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Allied Solutions rating

7.9

Company rating: 7.9 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

187th of 315 rated insurance

Job description

The Allied Solutions internship program is a robust and consistent internship program for rising Juniors and Seniors. The program will focus on learning and development as well as hands-on experience. The program will immerse the intern into a broad range of responsibilities, allowing you to execute projects within your area of professional interests.
Interested applicants must be available during the 12-week program (May 17th - Aug. 6th, 2027). This is a full-time internship (40-hours per week) based at our headquarters in Carmel, IN.
The Data Science Intern will join the Data Intelligence team and gain hands-on experience applying data, analytics, and AI to real business challenges. This role is designed for students interested in pursuing a career in Data Science and provides exposure to the full data lifecycle through structured rotations across Data Science, Data Engineering, Data Governance, and Data Analytics. The internship emphasizes developing analytical, statistical, and problem-solving skills while building an understanding of how enterprise data is collected, managed, governed, and transformed into actionable insights.

Job Duties and Responsibilities

  • Assist with exploratory data analysis to identify patterns, trends, and actionable business insights.

  • Support the development, testing, and evaluation of predictive models, machine learning solutions, and AI use cases.

  • Prepare, cleanse, and transform data for analytical and Data Science applications.

  • Create visualizations and presentations that communicate findings and recommendations to business stakeholders.

  • Conduct research on emerging AI, machine learning, and advanced analytics techniques.

  • Participate in a Data Engineering rotation focused on data pipelines, data integration, and modern data platform concepts (20%).

  • Participate in a Data Governance rotation focused on data quality, stewardship, metadata management, and trusted data practices (15%).

  • Participate in a Data Analytics rotation focused on reporting, dashboards, performance metrics, and business decision support (15%).

  • Collaborate with Data Intelligence team members across multiple disciplines to understand the end-to-end data lifecycle.

  • Present project outcomes and internship learnings to leadership and stakeholders.

  • Perform other projects and analyses as assigned.

Qualifications (Education, Experience, Certifications & KSA)

  • Currently enrolled in an undergraduate program as a rising Junior or Senior, pursuing a degree in Data Science, Analytics, Statistics, Computer Science, or a related field.

  • Foundational experience with Python, SQL, and data analysis concepts.

  • Understanding statistics, analytical methods, or machine learning concepts.

  • Proficiency in Microsoft Office, particularly Excel.

  • Strong problem-solving skills and attention to detail.

  • Curiosity about AI, machine learning, advanced analytics, and emerging technologies.

  • Interest in how organizations leverage data as a strategic asset.

  • Strong written and verbal communication skills.

  • Ability to manage multiple priorities and meet deadlines.

  • Eagerness to learn and adapt in a fast-paced environment.

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.
#LI-SJ1
#Li-Onsite

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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