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Insurance Data Analyst Jobs in Indiana (NOW HIRING)

LHH US

Manufacturing Data Analyst

Indianapolis, IN

$85K - $95K/yr

... insurance plans, generous Paid Time Off, and a 401K plan with a company match. ***Must be ... Analyze business data to identify trends, risks, and improvement opportunities. * Support Sales ...

LHH US

Manufacturing Data Analyst

Indianapolis, IN

$85K - $95K/yr

... insurance plans, generous Paid Time Off, and a 401K plan with a company match. ***Must be ... Analyze business data to identify trends, risks, and improvement opportunities. * Support Sales ...

System One

Operations Data Analyst

Indianapolis, IN · On-site

$59.69 - $70.22/hr

Operations Data Analyst Location: Indianapolis, IN (Hybrid) Type: 17 month contract Compensation ... insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal ...

New

Danaher

Logistics Data Analyst

Indianapolis, IN · On-site

The Logistics Analyst will use analytical tools to extract, validate, and organize logistics data ... We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance ...

Danaher

Logistics Data Analyst

Indianapolis, IN

The Logistics Analyst will use analytical tools to extract, validate, and organize logistics data ... We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance ...

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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 29, 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
Infographic showing various Insurance Data Analyst job openings in Indiana as of July 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 90% In-person, 4% Hybrid, and 6% Remote job distribution, with an average salary of $78,637 per year, or $37.8 per hour.

Manufacturing Data Analyst

LHH US

Indianapolis, IN

$85K - $95K/yr

Full-time

Retirement, PTO

Posted 20 days ago

Job description

*This is an onsite position located in Indianapolis, IN. LHH is seeking a Manufacturing Data Analyst for a Direct Hire, Permanent Placement position with a manufacturing client located in Indianapolis, IN. This is an outstanding opportunity to join a growing organization that is investing heavily in operational excellence, forecasting capabilities, and data-driven decision making. In this highly visible role, you will partner with department heads across the organization to develop reporting tools, improve planning processes, and provide analytical insights that support long-term business growth and operational scalability. The compensation is commensurate to experience and will range between $85,000-95,000 per year and includes comprehensive benefit and insurance plans, generous Paid Time Off, and a 401K plan with a company match. ***Must be authorized to work in the U.S. without employer sponsorship.*** JOB RESPONSIBILITIES
  • Develop dashboards and reporting tools that provide actionable operational insights.
  • Analyze business data to identify trends, risks, and improvement opportunities.
  • Support Sales & Operations Planning (S&OP) processes and forecasting initiatives.
  • Create demand models to support production and inventory planning decisions.
  • Consolidate data from multiple systems into meaningful business intelligence reports.
  • Build and automate recurring reports using database systems, ERP software, and reporting platforms.
  • Perform variance analysis to evaluate forecast accuracy and operational performance.
  • Monitor key performance indicators and communicate findings to leadership teams.
  • Support capacity planning and long-term operational growth strategies.
  • Collaborate with department heads and other business partners across the organization.
  • Ensure data accuracy, consistency, and integrity across reporting platforms.
  • Conduct analyses to support strategic business decisions.
  • Develop new reporting structures as organizational needs evolve.
  • Evaluate inventory requirements and production demand across multiple facilities.
  • Assist with enterprise system reporting enhancements and optimization efforts.
QUALIFICATIONS
  • Bachelor's Degree in Business, Data Analytics, Statistics, Mathematics, Supply Chain, or a related discipline is required
  • Minimum of 2+ years of data analytics experience within the manufacturing industry is required
  • Must have experience working with ERP systems and operational business data
  • Must have experience creating dashboards, reports, and business intelligence tools
  • Ideal candidates will have experience supporting forecasting and S&OP initiatives
  • Ideal candidates will have experience utilizing SQL for data extraction and analysis
  • Ideal candidates will have experience performing variance analysis and demand modeling
  • Self-motivated with the ability to independently manage projects and priorities
  • Strong problem-solving skills and a high level of attention to detail
  • Ability to collaborate effectively with cross-functional business stakeholders
  • ***Must be authorized to work in the U.S. without employer sponsorship.***
If you or someone in your network fit this profile and would like to apply for this Manufacturing Data Analyst position in Indianapolis, IN then please submit your application alongside your resume using the link in this posting. Equal Opportunity Employer/Veterans/Disabled To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.lhh.com/us/en/candidate-privacy The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: • The California Fair Chance Act • Los Angeles City Fair Chance Ordinance • Los Angeles County Fair Chance Ordinance for Employers • San Francisco Fair Chance Ordinance #LHH / #JobOpening / #HiringNow / #NowHiring / #Hiring / #WorkWithUs / #JobAlert / #JobSearch / #CareerOpportunity / #HotJobs / #JoinOurTeam / #JobSeekers / #CareerGoals / #JobHunt / #JobVacancy / #ManufacturingDataAnalyst / #OperationsDataAnalyst / #DataAnalystJobs / #BusinessIntelligenceJobs / #SupplyChainAnalytics / #OperationsAnalytics / #ManufacturingJobs / #ManufacturingCareers / #SupplyChainJobs / #DistributionJobs / #IndustrialCareers / #IndianaJobs / #IndianapolisJobs / #MidwestJobs / #USJobs
Pay Details: $85,000.00 to $95,000.00 per year
Search managed by: Richard Bauchle
Equal Opportunity Employer/Veterans/Disabled
Military connected talent encouraged to apply
To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.lhh.com/us/en/candidate-privacy
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
  • The California Fair Chance Act
  • Los Angeles City Fair Chance Ordinance
  • Los Angeles County Fair Chance Ordinance for Employers
  • San Francisco Fair Chance Ordinance
Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.