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Insurance Data Analyst Jobs in Indiana (NOW HIRING)

Allied Solutions LLC

Escrow Coordinator

Carmel, IN

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 ...

Collabera

Financial Analyst

Evansville, IN · On-site

$27 - $32/hr

Strong data analysis experience (business-focused; not strictly finance/accounting required ... insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term ...

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 ...

CFS

Financial Analyst

Indianapolis, IN · On-site

$90K - $110K/yr

Health Insurance Schedule: Hybrid -- Monday-Thursday in office, Friday work from home Why This ... data-driven financial decision-making • Leverage data analytics and visualization tools to ...

GMV

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 ...

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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 Jul 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.

How much does an insurance analyst make?

An insurance data analyst typically earns between $60,000 and $85,000 annually, depending on experience, location, and certifications. Entry-level positions may start lower, while experienced analysts with advanced skills or specialized knowledge can earn higher salaries. They often work with data analysis tools like Excel, SQL, and statistical software in an office 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.

Do insurance companies need a data analyst?

Insurance companies rely on data analysts to interpret large datasets, assess risk, and support decision-making processes. Data analysts use tools like SQL and Excel, and often require industry knowledge and analytical skills to improve underwriting, claims management, and pricing strategies.

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

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 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 does a data analyst do in insurance?

An insurance data analyst examines large datasets to identify trends, assess risk, and support decision-making for insurance policies and claims. They use tools like Excel, SQL, and data visualization software to interpret data and improve underwriting, pricing, and fraud detection processes.

Is 40 too late for data science?

For an Insurance Data Analyst, age is not a barrier to entering data science. Many professionals successfully transition into data roles later in their careers by developing relevant skills such as programming, statistics, and data visualization, often through online courses or certifications. Experience in insurance or related fields can also be valuable in this career path.
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
Senior Data Analytics Engineer

Senior Data Analytics Engineer

Core BTS, Inc.

Indianapolis, IN • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago

Job description

As a Senior Data Analytics Engineer on the Data Analytics Data Platform (DADP) team, you analyze, develop, and deliver business intelligence solutions using the Microsoft Analytics stack.The Senior Data Analytics Engineer works directly with clients to ensure their expectations and business decision-making tool needs are met. The Engineer is an expert in using analytical and problem-solving skills and has experience creating scalable and reliable data solutions through data analytics solution development.
Responsibilities
  • Demonstrates passion, excellence, trust, transparency, and client focus.
  • Builds and maintains databases, data pipelines, and data lakes.
  • Transforms and models data, develops reporting and analytics, creates dashboards, and works with analytics tools.
  • Understands business problems and processes based on direct conversations with clients, can see the big picture, and translate that into specific solutions.
  • Works with other technical experts on the DADP team and is involved in all parts of the data analytics development process-from gathering requirements and solution delivery to documentation of lessons learned.
  • Approaches conflict directly, assumes positive intent, and seeks assistance from leaders if needed.
  • Adapts positively to change by embracing new practices, processes, or circumstances.
  • Presents a positive, professional, and self-confident image.
  • Responds to clients in a timely and professional manner.
  • Understands and strives to consistently meet or exceed client expectations.
  • Collaborates with clients to identify and address their business needs.
  • Communicates accurately, concisely, and effectively.
  • Respectfully listens to others' ideas and concerns with an open mind.
  • Develops and maintains effective working relationships with others.
  • Works collaboratively to solve problems and puts team success first.
  • Meets commitments to others and delivers on time.
  • Holds self and others accountable for responsibilities.
  • Accepts responsibility for own decisions and actions without excuses.
  • Works independently or as a member of a team of technical professionals.
  • Balances multiple projects while still focusing on the needs of end users, clients, and the project manager.
  • Provides top-notch service and suggestions to not only clients and the project team but also to the broader NRI team as a whole.
Required Skills
  • 3-5 years of work experience in data engineering
  • Your data engineering experience should include Azure technologies and be familiar with modern data platform technologies such as Azure Data Factory, Azure Databricks, Azure Synapse, Fabric.
  • Understanding of Agile engineering practices
  • Deep familiarity and experience in the following areas: Data warehouse and lakehouse methodologies, including medallion architecture; Data ETL/ELT processes; Data profiling and anomaly detection; Data modeling (Dimensional/Kimball); SQL; Strong background in relational database platforms; DevOps/Continuous integration & continuous delivery.
  • Growing familiarity and experience with Python
  • Excellent analytical and problem-solving skills
  • Effective oral and written communication and organizational skills
  • Desire for continued education and certification as it relates to the position
  • Bachelor's degree in data Analytics, Computer Science, Information Systems, or a related field.
  • Previous consulting experience is preferred but not required
Benefits - You'll love working at NRI not just for the usual benefits, but for our environment and culture!
  • You'll work with a great group of people in a highly collaborative team and results oriented atmosphere
  • You'll have the opportunity to work in a dynamic and extremely positive environment where there is always the opportunity to challenge your skills and really move the needle
  • You'll work with large, sophisticated, and progressive clients throughout North America
  • We provide a comprehensive benefits program including: Health, Vision, and Dental Insurance, Life Insurance, Health/Dependent Care Flexible Spending, 401(k) Plan, Short-Term and Long-Term Disability Coverage, Generous Vacation and Flex Time Off Programs, Company Paid Holidays, and Training and Development Opportunities.
In addition to base salary, this role is eligible for discretionary incentive plan based on company and individual performance. Compensation decisions are dependent on the facts and circumstances of each candidate, including experience and location.
Notices

The above description is intended to describe the general nature and level of work performed by individuals assigned to this position. This is not intended to be an exhaustive list of all responsibilities, duties, knowledge, skills, or experience required of individuals in this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential duties and responsibilities.

NRI North America is proud to be an Equal Opportunity/Affirmative Action employer.

NRI North America will accept applications on an ongoing basis.
NRI North America will consider qualified candidates with criminal histories in a manner consistent with The Los Angeles Fair Chance Initiative for Hiring Ordinance.
If you require reasonable accommodation in completing an application, interviewing, or otherwise participating in the hiring process, please direct your inquiries to CareersBegin@nri-na.com.

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