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Actuarial Data Analyst Jobs (NOW HIRING)

The position ensures actuarial platforms, data, and models are futureready, leveraging automation, advanced analytics, and emerging AI capabilities across Life, Health, Retirement and Annuity ...

Chief Actuary

Boca Raton, FL · Remote

$119K - $140K/yr

Work with IT in the evaluation, selection, and oversight of data warehouse platforms, analytics tools, and third-party vendors, ensuring alignment with the needs of the actuarial department. Provide ...

This role operates as a lead‑level liaison between Data Engineers, Actuaries, and Business ... Perform end-to-end data analysis, including data profiling, validation, and transformation for ...

Actuarial Data Support: Collaborate with the actuarial team to provide solutions for pricing through advanced analytics and automation tools, ensuring alignment with actuarial methodologies and ...

Actuary Sr

Princeton, NJ · On-site

$237K/yr

Ensuring that actuarial data reporting is accurate, compliant and reasonable to support sound business decision making process; Performing actuarial analyses, building actuarial models and automating ...

Chief Actuary

Boca Raton, FL · On-site +1

$110K - $129K/yr

... data warehouse platforms, analytics tools, and third-party vendors, ensuring alignment with the needs of the actuarial department. • Provide actuarial leadership during system implementation ...

You'll translate complex clinical and actuarial data into actionable insights and deliverables for ... Strong analytical and problem-solving skills with demonstrated ability to develop models, manage ...

The candidate should have hands-on experience in Actuarial /Financial modeling and a strong ... Should be independently able to conduct data analysis on results produced by financial models.

Sr. Data Analyst

Piscataway, NJ · On-site

$87K - $110K/yr

Data analyst, Requirements gathering, source data analysis, source-to-target mapping, strong SQL, actuarial or deep insurance domain knowledge, business rule documentation, stakeholder management.

You'll translate complex clinical and actuarial data into actionable insights and deliverables for ... Strong analytical and problem-solving skills with demonstrated ability to develop models, manage ...

Actuary Sr

Princeton, NJ · On-site +1

$237K/yr

Ensuring that actuarial data reporting is accurate, compliant and reasonable to support sound business decision making process; Performing actuarial analyses, building actuarial models and automating ...

Supervises Pricing Analyst, actuarial assistant(s), and/or actuarial trainee staff . * Accurately and completely analyzes data and information in order to make recommendations of profitable rate and ...

Showing results 41-60

Actuarial Data Analyst information

See salary details

$22K

$93.5K

$154K

How much do actuarial data analyst jobs pay per year?

As of Sep 11, 2026, the average yearly pay for 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 an actuarial data analyst?

Actuarial Data Analysts are professionals who use statistical and mathematical methods to analyze data for assessing financial risks, often in the insurance and finance industries. They collect, organize, and interpret large sets of data to help actuaries and organizations make informed decisions about pricing, reserving, and risk management. Their work supports the development of financial models, forecasts, and reports, ensuring accuracy in predicting future events that impact business operations. Actuarial Data Analysts often work closely with actuaries, data scientists, and other analysts to deliver actionable insights.

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

To thrive as an Actuarial Data Analyst, you need strong quantitative skills, a background in mathematics or statistics, and often a relevant bachelor’s degree. Proficiency with statistical software (such as SAS, R, or Python), Excel, and sometimes actuarial exam progress or certifications is expected. Analytical thinking, attention to detail, and effective communication help you interpret data and convey complex findings clearly to stakeholders. These skills enable accurate risk assessment, data-driven decision-making, and support for insurance or finance operations.

What are some common challenges faced by actuarial data analysts in managing large datasets?

Actuarial Data Analysts often work with complex and extensive datasets, which can pose challenges such as ensuring data accuracy, dealing with incomplete or inconsistent information, and efficiently processing large volumes of data. Staying organized and using advanced statistical software helps mitigate these issues, but analysts must also regularly collaborate with IT and other teams to resolve data integrity concerns. Developing strong data validation and cleaning processes is key to delivering accurate actuarial models and analyses.

What is the difference between Actuarial Data Analyst vs Actuary?

AspectActuarial Data AnalystActuary
CredentialsBachelor's degree, possibly actuarial examsBachelor's degree, multiple actuarial exams, professional certification (e.g., ASA, FSA)
Work EnvironmentData analysis, reporting, supporting actuarial teamsPricing, reserving, risk assessment, strategic decision-making
Industry UsageInsurance companies, consulting firms, financial servicesInsurance, pension funds, consulting, risk management

The main difference is that Actuarial Data Analysts focus on data processing and supporting actuarial functions, often with fewer certifications, while Actuaries perform complex risk assessments and strategic decisions with advanced credentials. Both roles work closely within insurance and financial industries but differ in responsibilities and certification requirements.

Can an actuarial data analyst become a data analyst?

An actuarial data analyst can transition to a data analyst role since both positions involve analyzing data, using tools like Excel, SQL, and statistical software. However, a data analyst may need to develop additional skills in programming languages such as Python or R and gain experience with broader data visualization and business intelligence tools. Certifications like the Microsoft Certified Data Analyst or courses in data science can facilitate this transition.

What does an actuarial data analyst do?

An actuarial data analyst collects, analyzes, and interprets data related to insurance, finance, or risk management to support decision-making. They use statistical tools and software such as Excel, SQL, or R, and often work closely with actuaries to develop models, assess risk, and improve pricing strategies.
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Infographic showing various Actuarial Data Analyst job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $93,525 per year, or $45 per hour.

Actuarial Analyst

Itasca, IL • On-site

Full-time

Re-posted 22 days ago


Job description

The Actuarial Analyst will assist in setting rates for various insurance products. This may include extracting and analyzing premium and loss data, using applications and statistical programs, evaluating results for reasonability, and communicating observations to help achieve goals. Assist in developing and enhancing products, designing reports to improve decision-making, forecasting and assessing industry trends and presenting findings and recommendations to senior management.
EDUCATION AND EXPERIENCE: Bachelor's Degree in Actuarial Science, Mathematics, Statistics, or business-related discipline
SKILLS/COMPETENCIES REQUIREMENTS:
  • Works well independently and in a team environment
  • Detail oriented and high level of accuracy
  • Strong interpersonal and communication skills
  • Advanced skills in Microsoft Excel
  • Organization, planning and prioritization skills
  • Strong analytical, problem solving and judgment skills
  • Effective time management skills, including the capability to balance multiple projects with competing deadlines
  • Takes initiative on projects and assignments
  • Strong mathematical skills, and a deep understanding of risk management
  • Ability to translate actuarial research into written recommendations
  • Intermediate programming skills (SQL, Python, R)

ESSENTIAL DUTIES AND REPONSIBILITIES:
  • Support the rate review process by preparing rate indications, analyzing specific components of rating, developing pricing proposals and calculating impacts
  • Provide data to support underwriting decision-making
  • Assist with analysis on project initiatives
  • Evaluate success and drive continuous improvement in product enhancements
  • Solve complex business problems by leveraging the analytical and actuarial techniques
  • Provide support in the preparation and presentation of materials for clients
  • Perform statistical data analysis in support of new product development
  • Analyze market, industry, competitor, legal, and regulatory trends and use these to provide actionable insights that drive the business of both the company and its customers
  • Gather and compile statistical data via Excel, Access, or data management programs, to develop reports facilitating and supporting pricing, reinsurance reporting, and valuation function

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.