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Freelance Actuarial Data Analyst Jobs (NOW HIRING)

Actuarial Data Analyst

Cincinnati, OH ยท 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.

Actuarial Data Analyst

Chicago, IL ยท 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.

Actuarial Data Analyst

Chicago, IL ยท 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.

The candidate will collaborate with actuarial business teams, data developers, and technical teams to analyze existing Excel and SQL-based actuarial reports, validate calculations, define ...

New

The candidate will collaborate with actuarial business teams, data developers, and technical teams to analyze existing Excel and SQL-based actuarial reports, validate calculations, define ...

New

The candidate will collaborate with actuarial business teams, data developers, and technical teams to analyze existing Excel and SQL-based actuarial reports, validate calculations, define ...

New

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Freelance Actuarial Data Analyst information

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$22K

$93.5K

$154K

How much do freelance actuarial data analyst jobs pay per year?

As of Aug 10, 2026, the average yearly pay for freelance actuarial data analyst in the United States is $93,525.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,500.00 and $109,500.00 per year, depending on experience, location, and employer.

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

AspectFreelance Actuarial Data AnalystActuarial Data Analyst
CredentialsTypically requires actuarial exams, data analysis skills, and possibly certificationsUsually requires actuarial exams, relevant degrees, and certifications
Work EnvironmentIndependent, remote, project-basedFull-time, in-office or remote within a company
Employer & IndustryClients across insurance, finance, consulting; self-employedInsurance companies, consulting firms, or corporate actuarial departments
Work ScopeProject-specific data analysis, reporting, modelingOngoing data analysis, reporting, and actuarial modeling

The main difference lies in employment status and work setup. Freelance Actuarial Data Analysts operate independently on projects, while Actuarial Data Analysts are typically employed full-time within organizations. Both roles require similar credentials and skills, but their work environment and job stability differ.

How do freelance actuarial data analysts typically manage project workflows and client communication?

Freelance actuarial data analysts often juggle multiple projects for different clients, which requires strong organizational and time management skills. Effective workflow management usually involves using tools like project management software, spreadsheets, and clear documentation to track deadlines and deliverables. Communication with clients is commonly handled via email, video calls, or collaborative platforms to discuss project requirements, progress updates, and results. Building trust through regular, professional updates and being proactive about clarifying expectations are key to successful collaborations in this freelance capacity.

What is a freelance actuarial data analyst?

A Freelance Actuarial Data Analyst is a professional who works independently on a contract basis to analyze statistical and financial data, primarily for insurance, pension, or risk management clients. Their main responsibilities include gathering data, performing complex calculations, and interpreting results to help organizations assess risk and make informed decisions. Unlike full-time employees, freelance analysts work with multiple clients and projects, offering flexibility and specialized expertise as needed. They typically use tools like Excel, R, Python, and actuarial software to perform their analyses.

What are the key skills and qualifications needed to thrive as a freelance actuarial data analyst?

To thrive as a Freelance Actuarial Data Analyst, you need a strong background in mathematics, statistics, and data analysis, typically supported by a degree in a quantitative field and actuarial exam progress. Proficiency with data analysis tools like Excel, R, Python, and specialized actuarial software (such as SAS or Prophet) is commonly required. Excellent problem-solving, communication, and time-management skills help you deliver clear insights and manage multiple client projects independently. These competencies are crucial for providing accurate, actionable analyses and building trust with clients in a dynamic, project-based work environment.
More about Freelance Actuarial Data Analyst jobs
What cities are hiring for Freelance Actuarial Data Analyst jobs? Cities with the most Freelance 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 Freelance Actuarial Data Analyst jobs? States with the most job openings for Freelance Actuarial Data Analyst jobs include:
What job categories do people searching Freelance Actuarial Data Analyst jobs look for? The top searched job categories for Freelance Actuarial Data Analyst jobs are:
Infographic showing various Freelance Actuarial Data Analyst job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $93,525 per year, or $45 per hour.

Actuarial Data Analyst

Core Specialty

Cincinnati, OH โ€ข Hybrid

$70K - $75K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 11 days ago


Job description

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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

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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