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Senior Actuarial Data Analyst Jobs (NOW HIRING)

WellSense Health Plan

Senior Actuarial Analyst

$88K - $128K/yr

... are data analytics. The Senior Actuarial Analyst works with a team of actuaries to assure a coordinated approach to the actuarial components of health programs, and provides actuarial support to ...

New

CMZ Companies, Inc.

Actuarial Roles

Denver, CO · On-site

... senior pricing actuary for the Programs business unit. * Analyze detailed claims data to detect trends and aberrations by TPA, line of business, class, etc. * Develop reports on various claim ...

Converys

Senior Actuarial Analyst

Boston, MA

$105K - $123K/yr

Position Summary The Senior Actuarial Analyst will apply actuarial concepts to analyze insurance ... Identify data issues and collaborate with external customers to resolve them efficiently. Actuarial ...

Coverys, Inc.

Senior Actuarial Analyst

Boston, MA · On-site

$105K - $123K/yr

Position Summary The Senior Actuarial Analyst will apply actuarial concepts to analyze insurance ... Identify data issues and collaborate with external customers to resolve them efficiently. • ...

Penn National Insurance

Senior Actuary

Harrisburg, PA · On-site

The Senior Actuary will apply expert-level actuarial techniques to recommend profitable pricing ... systems for analysis, manipulation, and reporting of actuarial data . * Advises and acts as ...

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

As of Aug 21, 2026, the average yearly pay for senior actuarial data analyst in the United States is $120,265.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,000.00 and $132,000.00 per year, depending on experience, location, and employer.

What is a senior actuarial data analyst?

Senior Actuarial Data Analysts are experienced professionals who analyze complex data to help organizations assess risk and make informed financial decisions. They use statistical models and data analytics tools to evaluate trends, forecast future events, and support actuarial functions such as pricing, reserving, and risk management. Typically, they work in sectors like insurance, pensions, or finance, collaborating with actuaries and other departments to ensure accurate and reliable analysis. Their advanced expertise enables them to handle larger projects, mentor junior analysts, and contribute to strategic decision-making.

How does a senior actuarial data analyst typically collaborate with underwriting and finance teams within an organization?

Senior Actuarial Data Analysts frequently work alongside underwriting and finance teams to provide data-driven insights that inform risk assessment and pricing strategies. They analyze complex data sets, interpret trends, and translate findings into actionable recommendations, ensuring that both underwriting and financial models accurately reflect potential risks and opportunities. Regular meetings, cross-functional projects, and shared reporting tools are common ways these teams collaborate, helping to build robust and compliant insurance products. This collaborative environment not only enhances business outcomes but also offers analysts opportunities to broaden their expertise and leadership skills.

What are the key skills and qualifications needed to thrive as a senior actuarial data analyst, and why are they important?

To thrive as a Senior Actuarial Data Analyst, you need a strong background in statistics, mathematics, and actuarial science, usually supported by a relevant degree and progress toward actuarial credentials. Proficiency with statistical software (such as SAS, R, or Python), spreadsheet modeling, and data visualization tools is typically required. Analytical thinking, attention to detail, and effective communication are standout soft skills for interpreting complex data and presenting insights. These skills ensure accurate risk assessments and valuable business recommendations in a data-driven environment.

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

AspectSenior Actuarial Data AnalystActuarial Data Analyst
Required CredentialsTypically requires ASA or equivalent, with some experienceEntry-level or early credentialing, often pursuing ASA or similar
Work EnvironmentMore complex projects, mentorship roles, leadership responsibilitiesData analysis, reporting, supporting actuarial teams
Employer & Industry UsageInsurance companies, consulting firms, financial servicesInsurance firms, reinsurers, consulting firms

The main difference between a Senior Actuarial Data Analyst and an Actuarial Data Analyst lies in experience, responsibilities, and credentials. Senior roles typically involve more complex projects, mentorship, and leadership, while entry-level analysts focus on data support and reporting. Both roles are common in insurance and financial industries, with senior positions requiring advanced credentials like ASA.

What cities are hiring for Senior Actuarial Data Analyst jobs?

Cities with the most Senior 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 Senior Actuarial Data Analyst jobs?

States with the most job openings for Senior Actuarial Data Analyst jobs include:

Senior Actuarial Data Analyst jobs near you

Senior Actuarial Data Scientist

Texas Farm Bureau Insurance

Waco, TX • On-site

Full-time

Re-posted 29 days ago

Texas Farm Bureau Insurance rating

7.8

Company rating: 7.8 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

196th of 311 rated insurance

Job description

The Voice of Texas Agriculture.
Company Name: Texas Farm Bureau Casualty Insurance Company | Department: Actuary
The Senior Actuarial Data Scientist is responsible for performing complex analyses, applying advanced predictive analytics and machine learning techniques, arranging data in an optimal format, and running simulation and optimization techniques to generate growth and profitability insights for the Texas Farm Bureau Insurance Companies at the direction of the Director of Pricing.
MAJOR RESPONSIBILITIES AND AUTHORITY
Perform advanced analytics using predictive modeling, machine learning, and other advanced techniques.
Identifies, recommends, and pursue projects, analyses, and other items to further advance corporate initiatives.
Builds large and complex information sets using both unstructured and structured data.
Provides detailed insights to management on issues.
Use data driven insights to recommend opportunities for growth, competitiveness, and profitability.
Effectively communicate results of advanced analytics to both technical and non- technical audiences.
Recommend and develop new metrics to advance decision making.
Other duties as assigned.
Provide after-hours support, if necessary.
Comply with the Certified Fleet Operation requirements of the Company Driving and Safety policy.
MINIMUM POSITION QUALIFICATIONS
Master's Degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field or several years of related experience.
Ability to lead multiple projects while providing effective input and briefing senior leaders.
Strong problem solving abilities.
Ability and willingness to learn and extend skills and mentor others.
Strong oral and written communication skills.
Experience in stochastic modeling, machine learning, and other advanced mathematical techniques.
Experience in performing and implementing generalized linear models.
Experience building structured and unstructured data sets together.
Experience with SQL and Python, or other high-level programming language.
Proficient in use of Microsoft Office software.
Willing to travel as required.
Valid Texas driver's license and driving record at the time of hire which would not place the employee on probation, or disqualify the employee from Certified Fleet Operator status under the Company Driving and Safety Policy.
PHYSICAL REQUIREMENTS
Use of PC, telephone, copy machine, fax, and other office equipment over six (6) hours per day.
Extended periods of sitting and concentration.
WORKING CONDITIONS
Occasional long, irregular hours.
Work to be conducted in office environment owned/leased by company.
Occasional travel by auto or other public transportation.
Texas Farm Bureau is an Equal Opportunity Employer (M/F/D/V).

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