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Insurance Data Analytics Jobs in Indiana (NOW HIRING)

AAA Hoosier Motor Club

Data Analyst

Indianapolis, IN · On-site

... and insurance services to nearly 400,000 Hoosiers. To learn more about what AAA Hoosier offers ... Analytics team, you will turn data into clear, reliable insights that support decision-making ...

Purdue University

Data Analyst

West Lafayette, IN · On-site

$577K/yr

Data Analyst City: West Lafayette Job Summary College of Science | Purdue University | West ... insurance as well as a generous paid time off package for sick and vacation days Career Stream ...

St. Joseph County, IN

Data Analyst

South Bend, IN

Data Analyst DEPARTMENT: St. Joseph County Department of Health WORK SCHEDULE: 8:00 a.m. - 4:30 p.m ... Paid Life Insurance coverage Short-Term and Long-Term Disability (STD/LTD) Flexible Spending ...

System One

Operations Data Analyst

Indianapolis, IN · On-site

$59.69 - $70.22/hr

... analytics and dashboard reporting preferred. System One, and its subsidiaries including Joulé and ... insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal ...

LHH US

HR Data Analyst

Indianapolis, IN

$70K - $80K/yr

HR data analytics * HRIS implementation or testing * Workforce planning * Employee data auditing ... life insurance, short-term disability, additional voluntary benefits, EAP program, commuter ...

New

LHH US

HR Data Analyst

Indianapolis, IN

$70K - $80K/yr

HR data analytics * HRIS implementation or testing * Workforce planning * Employee data auditing ... life insurance, short-term disability, additional voluntary benefits, EAP program, commuter ...

New

Elevance Health

Data Scientist Analyst

Indianapolis, IN · On-site +1

Prior experience in healthcare analytics or trend analysis is a strong advantage highly preferred ... insurance, wellness programs and financial education resources, to name a few. Elevance Health ...

CSAA

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal ...

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Insurance Data Analytics information

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$52

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How much do insurance data analytics jobs pay per hour?

As of Aug 6, 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 insurance data analytics?

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 examines large datasets to identify trends, assess risk, and support decision-making processes within insurance companies. They use tools like Excel, SQL, and data visualization software to interpret claims, policy data, and customer information, helping improve underwriting, pricing, and fraud detection.

Is data analytics a high paying job?

Data analytics roles, including those in insurance data analytics, are generally considered well-paying compared to many other entry-level positions. Salaries vary based on experience, skills, and location, but professionals with expertise in tools like SQL, Python, or R often earn competitive wages and have strong job growth prospects.

How much does an insurance data analyst make?

The average salary for an insurance data analyst typically ranges from $60,000 to $90,000 annually, depending on experience, location, and industry. Professionals with advanced skills in data visualization, statistical analysis, and tools like SQL or Python may earn higher salaries, especially in larger organizations or metropolitan areas.

What is insurance data analytics?

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 August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $108,358 per year, or $52.1 per hour.

Manager of Data Science & Engineering

Do it Best Corp

Fort Wayne, IN • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday

Job description

Manager of Data Science & Engineering
Location: Headquarters - Fort Wayne, IN or Dallas, TX
Level: Salaried/Manager
Division / Department: Information Technology
Reporting to position: Director of IT Business Enablement
Travel: Minimal
About the Role:
The Manager of Data Science & Engineering is pivotal in our organization and is responsible for leading the data analytics division. This role involves overseeing all data analytics teams and technologies, ensuring the delivery of data-driven insights that support business objectives. The Manager of Data Science & Engineering will report directly to the Director of IT, Business Enablement and will play a key role in shaping our data strategy and capabilities.
Responsibilities include:
  • Leadership and Strategy: Provide visionary leadership to the data analytics teams, fostering an environment of innovation and continuous improvement. Develop and implement a comprehensive data strategy that aligns with the organization's objectives, enhancing decision-making and operational efficiency. Collaborate with senior IT leadership to integrate data analytics into the broader IT strategy and initiatives.
  • Team Management and Development: Oversee the recruitment, training, and development of data analytics personnel, ensuring a high-performing team capable of meeting the organization's data needs. Promote a culture of data literacy and analytics excellence across the organization. Manage team performance, setting clear goals and objectives, and providing regular feedback and support.
  • Data Governance and Quality: Establish and enforce data governance policies and procedures to ensure data integrity, quality, and security. Lead initiatives to improve data quality and accessibility, ensuring that data assets are leveraged effectively across the organization.
  • Technology and Innovation: Evaluate and recommend data science and analytics technologies and tools that enhance the organization's analytical capabilities. Drive the adoption of advanced analytics, machine learning, and artificial intelligence to unlock new insights and opportunities. Oversee the management of data analytics platforms and infrastructure, ensuring scalability, performance, and reliability.
  • Stakeholder Engagement: Engage with business units to understand their data requirements and challenges, fostering strong partnerships. Translate business needs into analytics projects, guiding teams from concept to implementation. Communicate insights and recommendations to executive leadership, influencing data-driven decision-making.

Education and Experience:
  • Bachelor's or Master's degree in Data Science, Computer Science, Information Technology, or a related field.
  • Minimum of 8 years of experience in data analytics or a similar field, with at least 3 years in a leadership role.

Skills and Abilities:
  • Proven track record of developing and executing data strategies that drive business value.
  • Deep understanding of data governance, data quality management, and data security principles.
  • Proficiency in data analytics technologies and tools, including Databricks, SQL, Python, R, BI tools (e.g., Power BI), and big data platforms.
  • Strong leadership and team management skills, with the ability to inspire and develop talent.
  • Excellent communication and stakeholder management skills, with the ability to translate complex data concepts into actionable business insights.

Benefits available to you:
  • Full insurance benefits package including Medical, Dental, & Vision
  • Paid time off to foster work/life balance
  • Profit sharing
  • Bonus Pay opportunities
  • Retirement funding opportunities
  • Education reimbursement
  • Health club reimbursement
  • Career advancement opportunities

About Do it Best Group
Headquartered in Fort Wayne, IN, the Do it Best Group is the world's largest hardware, lumber, and building materials buying cooperative in the home improvement industry. With nearly $6 billion in annual sales, we support thousands of independently-owned locations across the United States and in more than 60 countries worldwide. Partners in the company have the flexibility to operate under the Do it Best, True Value, or their own local store identities, offering a diverse range of branding options to best serve their communities.
Culture:
Each team member is valued as an individual - with their intrinsic value at the forefront. We prioritize your career growth through one-on-one training, conferences, tuition assistance, mentoring and more. We encourage authentic relationships by hosting social events and fostering a culture where lasting friendships are made. In fact, the three most valued aspects of being a part of the Do it Best team are the culture, the compensation, and the level of fulfillment that each team member experiences from their role.
Our Philosophy: Serving others as we would like to be served
Our Mission: Making the best even better
Our Goal: Helping members grow and achieve their dreams
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice

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