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Insurance Data Analyst Jobs in Indiana (NOW HIRING)

Perform complex data analysis for Commercial Claims aligned to business and portfolio objectives ... Knowledge of insurance, accounting and rate-making concepts. * Strong ability to independently ...

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 ...

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 ...

Data Technical Specialist - Remote

Richmond, IN · On-site +1

$101K - $152K/yr

Conduct data profiling and analysis to assess data quality and identify issues prior to migration ... insurance, HSA/FSA, matching retirement plans, paid vacation, parental leave, employee stock ...

Senior Data Engineer

Zionsville, IN · On-site

$102K - $139K/yr

... analytics initiatives * Architect scalable data solutions that handle growing volumes of insurance data while maintaining performance and reliability * Establish data quality frameworks and ...

Financial Analyst

Evansville, IN · On-site

$35 - $40/hr

... medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance ... The role focuses on data analysis, Excel reporting, SAP data extraction, and tracking project spend ...

All the traditional benefits like health insurance, 401k/401k match, employee assistance programs ... MDM) & Data Governance Analyst to design, implement, and operate data governance processes and ...

All the traditional benefits like health insurance, 401k/401k match, employee assistance programs ... MDM) & Data Governance Analyst to design, implement, and operate data governance processes and ...

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Showing results 1-20

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.

Client Services Business Analyst II - Healthcare Data

Precision AQ

Indianapolis, IN • On-site

$75K - $105K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 15 days ago


Job description

***Unfortunately, the Client Services Business Analyst II - Healthcare Data role is not able to provide sponsorship now or anytime in the future.***
***This role requires you to be located in the Indianapolis area, and requires one a day a week in the office.***
Product Solutions, part of Precision AQ, accelerates value realization by enabling data science, leveraging analytics, and innovating with technology to transform the way you connect with customers. Is helping patients get the best medicine important to you? Is enabling healthcare providers to make appropriate treatment decisions important to you? Are you detail oriented and passionate about organization? Are you a clear and confident communicator? Do you thrive within a team and company that is highly collaborative? Your dream job is waiting. If you're a born problem-solver and enjoy when no day is the same - keep reading.
Position Summary: Client Services Business Analyst II - Healthcare Data
We are looking for a highly skilled and collaborative Business Analyst with strong technical expertise and a passion for building trusted partnerships across data, marketing, and cross-functional teams. This role is responsible for developing, organizing, and maintaining complex healthcare data systems while serving as a strategic liaison between technical data work and business-facing clients.
Key Responsibilities:
  • Design, develop, and sustain data systems using SQL/T-SQL and related technologies to support analytic readiness across complex healthcare datasets.
  • Serve as a subject matter expert on client datasets, maintaining full lifecycle documentation and quality assurance protocols for both recurring reports and new implementations
  • Collaborate regularly with marketing clients, project management, client services, and quality assurance teams to align data strategy with business objectives.
  • Effectively communicate technical outcomes into clear, business-relevant insights tailored for marketers, client teams, and executive audiences.
  • Demonstrated ability to triage client requests, set expectations with stakeholders, and execute complex data workflows with minimal supervision.
  • Exceptional organizational and time management skills with the ability to independently manage multiple clients and concurrent development of workstreams.
  • Produce reports and dashboards that highlight key performance indicators, uncover operational insights, and support data-driven decision-making.
  • Support and guide junior analysts, contributing to a culture of analytical excellence and mentorship.

Qualifications & Experience:
  • Bachelor's degree
  • Experience in quantitative and qualitative data analysis required, preferred in a healthcare or pharmaceutical space
  • 3-5 years of experience with SQL Server, data integration, ETL development, and data validation techniques.
  • Strong command of data storytelling and the ability to explain complex logic to diverse audiences.

Technical & Soft Skills:
  • Expertise in SQL, T-SQL, SSIS, and data profiling tools; proficiency with Excel, PowerPoint, PowerBI, Python.
  • Demonstrated ability to work independently across multiple priorities while ensuring quality and accuracy.
  • Adept at fostering relationships, communicating proactively, and collaborating across internal and external teams.
  • Comfortable mentoring and setting quality standards for others in the team.

Precision is required by law in some states or cities to include a reasonable estimate of the compensation range for this role. This compensation range takes into account the wide range of factors that are considered in making compensation decisions including but not limited to: skill sets, experience and training, licensure and certifications, and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Precision, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. This role is also eligible for a discretionary annual bonus, health insurance, retirement savings benefits, life insurance and disability benefits, parental leave, and paid time off for sick leave and vacation, among other benefits.
Reasonable estimate of the current range
$75,000-$105,000 USD
Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice.
Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at myHR@precisionmedicinegrp.com.
Recruitment Fraud Warning: Please be aware that fraudulent individuals and websites may impersonate Precision Medicine Group or its affiliates and attempt to obtain personal, financial, or banking information through fake job postings or employment offers. Precision Medicine Group will never request payment, banking details, or other sensitive financial information as part of the recruitment process. If you believe you have been targeted by a recruitment scam, we encourage you to report the incident to your local law enforcement authorities, consumer protection agency, or relevant cybercrime reporting organization in your country. Please also notify us at myHR@precisionmedicinegrp.com so we can investigate and take appropriate action.