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Actuarial Data Analyst Jobs (NOW HIRING)

PB consulting

Senior Actuarial Analyst

Cheshire, CT · On-site

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 ...

PB consulting

Senior Actuarial Analyst

Windsor, CT · On-site

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 ...

PB consulting

CT · On-site

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 ...

PB consulting

Senior Actuarial Analyst

Cromwell, CT · On-site

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 ...

PB consulting

Senior Actuarial Analyst

Pequabuck, CT · On-site

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 ...

PB consulting

Senior Actuarial Analyst

Oakville, CT · On-site

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 ...

PB consulting

Senior Actuarial Analyst

Canton, CT · On-site

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 ...

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Actuarial Data Analyst information

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$22K

$93.5K

$154K

How much do actuarial data analyst jobs pay per year?

As of Aug 21, 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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Actuarial Data Analyst jobs near you
Infographic showing various Actuarial Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $93,525 per year, or $45 per hour.

Senior Actuarial Analyst

PB consulting

Middlefield, CT • On-site

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

We are seeking an experienced Senior Actuarial Analyst to support the analysis, modernization, and migration of actuarial reporting solutions into a Segment Data Warehouse environment. The ideal candidate will have strong experience with actuarial reporting processes, data analysis, and requirements gathering, with the ability to translate complex actuarial calculations into technical solutions.

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 requirements, and support the successful implementation of new reporting solutions.

Required Technical/Functional Skills
  • 10+ years of experience in actuarial analysis, actuarial reporting, or related data analytics roles.
  • Experience analyzing and documenting existing actuarial reports, measures, and calculations.
  • Strong understanding of actuarial data, reporting processes, and business calculations.
  • Ability to analyze underlying data and provide clarification on key calculations and data relationships.
  • Experience translating business requirements into technical requirements for development teams.
  • Experience creating requirements documentation, user stories, and acceptance criteria.
  • Experience working with Excel-based reporting solutions and SQL-driven data analysis.
  • Ability to collaborate with developers to replace legacy reports within enterprise data warehouse environments.
  • Experience performing QA testing and validating new reports and measures against defined requirements.
  • Prior experience with actuarial reserving and reporting processes, preferably within the reinsurance industry.
Preferred Skills
  • Strong SQL skills for data analysis and validation.
  • VBA experience for Excel-based reporting automation.
  • Experience working with actuarial reserving processes and insurance/reinsurance data.
  • Experience with data warehouse reporting environments.
Roles and Responsibilities
  • Analyze existing Excel and SQL-based actuarial reports and measures and provide guidance to developers for migration into the Segment Data Warehouse.
  • Review and clarify actuarial calculations, business rules, and reporting logic.
  • Analyze source data to ensure accuracy and alignment with actuarial requirements.
  • Develop functional requirements documentation and acceptance criteria as needed.
  • Perform QA testing to validate that newly developed reports, calculations, and measures meet business expectations.
  • Partner with actuarial stakeholders and technical teams to resolve data and reporting challenges.
  • Support modernization initiatives by helping transition legacy reporting processes into scalable data warehouse solutions.
Required Experience
  • Minimum 10 years of experience in actuarial analysis, reporting, data analytics, or related roles.
  • Experience in insurance/reinsurance actuarial reporting preferred.
  • Strong analytical, documentation, and communication skills.

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