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Internship Actuarial Data Analyst Jobs (NOW HIRING)

Core Specialty

Actuarial Data Analyst

Chicago, IL · On-site

$70K - $75K/yr

Management Information Systems, Mathematics, Statistics, Computer Science, Actuarial Science and the like. * 1-3 years of experience in a professional environment working with data, analytics.

Core Specialty

Actuarial Data Analyst

Cincinnati, OH · Hybrid

$70K - $75K/yr

Management Information Systems, Mathematics, Statistics, Computer Science, Actuarial Science and the like. * 1-3 years of experience in a professional environment working with data, analytics.

Core Specialty

Actuarial Data Analyst

Chicago, IL · Hybrid

$70K - $75K/yr

Management Information Systems, Mathematics, Statistics, Computer Science, Actuarial Science and the like. * 1-3 years of experience in a professional environment working with data, analytics.

Ascot Group

Actuarial Data Analyst, Captives

Dallas, TX · On-site

As part of Ascot's Actuarial business unit, the Actuarial Data Analyst, Captives will work on critical "run the business" core services such as data manipulation and querying, template creation, tool ...

The Mutual Group

Actuarial Data Engineer

Iowa, LA · On-site +1

$91K - $130K/yr

Analytics The Data Engineer will support the design, development, and implementation of analytical data processes that enable actuarial pricing, reserving, and claims analytics across a Property ...

CMZ Companies, Inc.

Actuarial Roles

Denver, CO · On-site

NY, CO, CA) There are a number of Actuarial roles at various levels available with a growing P&C ... Analyze detailed claims data to detect trends and aberrations by TPA, line of business, class, etc.

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Internship Actuarial Data Analyst information

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How much do internship actuarial data analyst jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for internship actuarial data analyst in the United States is $44.35, according to ZipRecruiter salary data. Most workers in this role earn between $30.53 and $55.29 per hour, depending on experience, location, and employer.

Do actuaries make $500,000?

Actuarial data analysts typically do not earn $500,000 annually; such high salaries are more common for senior actuaries or those in executive roles with extensive experience and certifications. Entry-level or mid-career actuarial analysts usually earn significantly less, with salaries increasing as they gain professional credentials like the ASA or FSA. Compensation varies by industry, location, and company size, but $500,000 is an uncommon salary for this role.

What is the difference between Internship Actuarial Data Analyst vs Actuarial Data Analyst?

AspectInternship Actuarial Data AnalystActuarial Data Analyst
Required CredentialsTypically pursuing actuarial exams, student statusOften has completed some exams, may hold associate credentials
Work EnvironmentInternship, supervised, learning-focusedFull-time, independent, project-driven
Employer & Industry UsageInternship programs in insurance, finance, consultingInsurance companies, consulting firms, financial institutions

The main difference between an Internship Actuarial Data Analyst and an Actuarial Data Analyst is experience level and employment status. Internships are temporary roles designed for students gaining industry exposure, while full-time Actuarial Data Analysts have more experience and responsibilities. Interns focus on learning and supporting tasks, whereas analysts handle complex data analysis independently.

Can a data analyst become an actuary?

A data analyst can become an actuary by gaining relevant actuarial knowledge, passing professional exams, and acquiring specialized certifications such as the ASA or FSA. Transitioning often involves developing skills in probability, statistics, and financial mathematics, which are core to actuarial work. Many actuaries start as data analysts due to overlapping skills in data analysis and modeling.

Can I do a data analyst internship?

Yes, a data analyst internship is available for individuals interested in developing skills in data analysis, statistical tools, and programming languages like Excel, SQL, or Python. Internships typically require relevant coursework or foundational knowledge and may be offered during summer or semester periods to provide practical experience in data-driven environments.

Is 22 too old for an internship?

For an internship as an actuarial data analyst, age is generally not a barrier; many interns are in their early 20s or older. Employers value relevant skills, such as proficiency in Excel, SQL, or statistical software, and a strong interest in actuarial work, regardless of age. Being 22 can be an advantage, as it often aligns with recent graduates or those seeking career change opportunities.
What cities are hiring for Internship Actuarial Data Analyst jobs? Cities with the most Internship Actuarial Data Analyst job openings:
What are the most commonly searched types of Actuarial Data Analyst jobs? The most popular types of Actuarial Data Analyst jobs are:
What states have the most Internship Actuarial Data Analyst jobs? States with the most job openings for Internship Actuarial Data Analyst jobs include:
Internship Actuarial Data Analyst jobs near you

Actuarial Data Analyst

Core Specialty

Chicago, IL • On-site

$70K - $75K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted yesterday

Job description

The Core Specialty Data Analytics Team is looking for a Data Analyst. This dynamic role is responsible for supporting all lines of business during an exciting time of growth
Key Accountabilities/Deliverables:
  • Execute analysis on data to identify and correct data issues. Extracting data from various sources and transforming that data to perform analysis and create actionable visualizations.
  • Live our Values: Embrace a "bring-it-on" attitude to attack issues and questions within the dept and across the organization.
  • Standardize ad hoc processes and drive continuous improvement for automating and optimizing performance of ongoing processes, including development of data processing pipelines.
  • Help Others Succeed: Act as a key contributor in resolving complex or expediated requests, where end-to-end ownership and analytical skills are needed to provide a solution. As mentioned, we all work and grow together! The more successful one member is, the more successful we all are.
  • Listen to, understand, and break down questions into manageable tasks.
  • Use a variety of applications and technologies to answer simple and complex questions.
  • Provide support for other Analytics areas, such as FP&A, Actuarial, Accounting, Claims, Programs and others as needed

Technical Knowledge and Understanding:
  • Intellectual curiosity: Seeking understanding of the answers to, whys of data. Uncovering patterns in data and visuals that some might take for granted and researching. Looking for trends and outliers that may be actionable.
  • Openness to grow and change: the Company is in its infancy regarding our data environment and our analytics platform. Will need to be agile, willing to lean new techniques and tools with us as we grow.
  • Candor: Openness to providing and receiving constructive feedback to facilitate both individual development as well as elevating the overall capabilities of the Company
  • Communication skills: Willingness to ask questions to gain understanding; collaborate effectively both with direct colleagues as well as those in other functional areas; ability to influence and gain buy-in from key stakeholders.

Experience:
  • Bachelor's degree in an analytical, or related, field: Management Information Systems, Mathematics, Statistics, Computer Science, Actuarial Science and the like.
  • 1-3 years of experience in a professional environment working with data, analytics.
  • Functional knowledge, aptitude and understanding of basic data/analytics principles: One to many relationships, many to many relationships, reuse and linkage, data quality, validation data modeling and more.
  • Experience with/or working knowledge of Lakehouse, Warehouse, Semantic models, Datamarts, SQL Databases and other relational data containers.
  • Experience and/or aptitude in a Microsoft Fabric environment and the tool set included: Python, PySpark, SQL, Dataflow gen 2, Pipelines, Apache Spark jobs, One Lake, Power BI, Data agents, prompt engineering.
  • Ability to convert raw data into usable and visualized representations that convey understanding and/or enables accurate execution of needed action.

The expected pay range for the role is $70,000 - $75,000. The specific offer will depend on an applicant's skills and experiences. The disclosed pay range estimate may also be adjusted for the applicable geographic differential for the location in which the position is filled.
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over work authorization sponsorship now or in the future for this position.
#LI-Hybrid
At Core Specialty, you will receive a competitive salary and opportunities for professional development and advancement. We offer medical, dental, vision, and life insurances; short and long-term disability; a Company-match of 100% of a 6% contribution 401(k) plan; an Employee Assistance Plan; Health Savings Account, Flexible Spending Account, Health Reimbursement Account, and a wellness program

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