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Entry Level Insurance Data Analytics Jobs (NOW HIRING)

Tokio Marine HCC International

$60 - $80/hr

... analytics platforms. Working alongside experienced engineers, you will develop data pipelines ... Develop familiarity with insurance data, business processes, and systems through project work and ...

Ascension

Mgr-Data Analytics

Indianapolis, IN · On-site

Data Analytics Schedule: M-F |40 hours | Full-time #InternalOps How you'll make an impact in this ... Benefits Paid time off (PTO)Various health insurance options & wellness plansRetirement benefits ...

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How much do entry level insurance data analytics jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for entry level insurance data analytics in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

What is an entry level insurance data analytics job?

Entry level insurance data analytics jobs involve collecting, processing, and analyzing data to help insurance companies make better business decisions. Professionals in these roles typically use statistical tools and software to identify trends, assess risks, and support pricing or policy development. They may also prepare reports and visualizations to communicate findings to other teams. These positions are ideal for recent graduates with strong analytical skills who have an interest in the insurance industry.

What are the key skills and qualifications needed to thrive as an entry level insurance data analytics professional?

To thrive as an Entry Level Insurance Data Analytics professional, you need foundational skills in statistics, data analysis, and proficiency with Excel or similar tools, often supported by a degree in mathematics, statistics, or a related field. Familiarity with data analytics software such as SQL, Python, R, and insurance industry databases is highly valuable. Strong problem-solving abilities, attention to detail, and effective communication skills set candidates apart in this role. These competencies are crucial for accurately interpreting insurance data, supporting business decisions, and conveying insights to both technical and non-technical stakeholders.

What are some common challenges faced by entry level insurance data analytics professionals, and how can they be addressed?

Entry-level professionals in insurance data analytics often encounter challenges such as working with large, complex datasets, understanding industry-specific terminology, and aligning analytical findings with business objectives. To overcome these, it's important to develop strong data management and visualization skills, seek mentorship from experienced colleagues, and regularly communicate with underwriters, actuaries, and business teams to understand the context behind the numbers. Proactively participating in team meetings and taking advantage of on-the-job training can also help bridge knowledge gaps and foster professional growth.

What is the difference between Entry Level Insurance Data Analytics vs Insurance Data Analyst?

AspectEntry Level Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's degree in data science, statistics, or related field; basic knowledge of analytics toolsBachelor's or higher in data analysis, statistics, or related; some roles prefer certifications
Work EnvironmentEntry-level roles in insurance companies, focusing on data collection and basic analysisMore experienced roles involving complex data modeling and reporting
Employer & Industry UsageInsurance companies, brokers, and agenciesInsurance firms, consulting agencies, and risk management companies

Entry Level Insurance Data Analytics positions focus on foundational data tasks within insurance firms, often requiring less experience and offering training opportunities. Insurance Data Analysts typically have more experience, handling advanced analysis and reporting. Both roles are essential in the insurance industry but differ mainly in complexity and responsibility.

What does an entry level insurance data analyst do in insurance?

An entry level insurance data analyst collects, organizes, and analyzes insurance data to identify trends, assess risks, and support decision-making. They often use tools like Excel, SQL, or data visualization software and work closely with underwriters and actuaries to improve underwriting processes and pricing strategies.
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Entry Level Insurance Data Analytics jobs near you
Infographic showing various Entry Level Insurance Data Analytics job openings in the United States as of September 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 86% In-person, 5% Hybrid, and 9% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.

Corporate Insurance Data Specialist RIMS

Sherwood, OR • On-site

BizTek People
Recruiting and Staffing Services • 51 - 200 employees
Learn more about BizTek Peopleexternal

Other

Posted 28 days ago

Job description

Job Title

Function as the Company Insurance, Surety Bonds, Certificate of Insurance, and Renewal Application data acquisition, reporting, and preparation of underwriting applications.

Job Description

The specialist will interact collaboratively with company Holding Company affiliate companies, vendors, and public entities securing the specified data for our insurance application submissions. Constructive interaction with our brokers.

ROLES & RESPONSIBILITIES

  • Creating and tracking Insurance renewal forms and online application forms, analyzing, and entering insurance data, issuing certificates of insurance, researching information, assisting in the renewal processes, and maintaining the insurance filing system.
  • Deploying our SharePoint system when creating applications, data entry, binder, and policy management.
  • Corresponding with internal and external sources gathering and confirming insurance application and insurance underwriter requests.
  • Compiling Certificate of Insurance terms, limits, endorsements, and named insureds for company projects, events, and compliance requirements.
  • Assist in scheduling those recurring broker open items, market updates, and quote reviews.
  • Secure real property replacement values for our property insurance program.
  • Secure and document those company vehicle VIN numbers, licensing and location data for fleet vehicles covered under company policies.
  • Assist with the data creation and transfer process into Riskonnect RIM's Program.
  • Assisting Manager and in various projects and assignments and providing cross coverage for other Staff Specialist as needed.

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