Roles and Skills
ECLARO delivers top talent for a variety of Actuarial Data Analyst roles across insurance, reinsurance, pension funds, investment firms, and consulting organizations. Although the specifics and titles may vary for each organization, our experienced recruiters have a track record of success in helping organizations hire at all levels
Junior Actuarial Data Analysts
- Assist in collecting, cleaning, and analyzing large datasets
- Support actuarial modeling and forecasting activities
- Prepare reports, tables, and visualizations for senior analysts
- Assist with risk assessments and compliance documentation
Mid-Level Actuarial Data Analysts
- Develop and validate actuarial models for insurance, pension, or investment portfolios
- Conduct statistical analyses to assess risk, claims, and loss trends
- Provide insights to support underwriting, pricing, and financial strategies
- Collaborate with cross-functional teams to enhance data quality and model accuracy
Senior Actuarial Data Analysts
- Lead actuarial data analysis projects and advanced modeling initiatives
- Advise management on risk, capital allocation, and financial strategies
- Design predictive analytics frameworks and dashboards
- Mentor junior analysts and establish best practices for modeling and reporting
Key skills
- Statistical Modeling and Analysis
- SQL and Database Management
- Python or R Programming
- Actuarial Science Knowledge (life, health, or property & casualty insurance)
- Financial Forecasting and Risk Assessment
- Data Visualization and Reporting
- Attention to Detail and Regulatory Compliance
Frequently asked questions
What does an Actuarial Data Analyst do day-to-day?
Actuarial Data Analysts spend their days extracting and analyzing large datasets to support actuarial valuations, pricing models, and risk assessments. They write SQL queries to pull claims data, mortality data, or policy information; build statistical models in Python or R; and prepare data visualizations and reports for actuaries and senior management. They also validate data quality, perform trend analysis, and ensure compliance with regulatory requirements. It's a mix of technical data work and analytical problem-solving that directly impacts business decisions.
What qualifications does this role typically require?
Most Actuarial Data Analysts hold a bachelor's degree in mathematics, statistics, computer science, actuarial science, or a related field. Many employers prefer candidates with 2-5 years of experience in data analysis, insurance, or actuarial work. While ASA (Associate Society of Actuaries) or similar actuarial credentials are a plus, they are not always required at the entry level. Strong SQL and programming skills are essential; familiarity with insurance terminology and concepts is highly valued.
How does ECLARO help me hire an Actuarial Data Analyst?
ECLARO sources, vets, and places Actuarial Data Analysts for both contract and permanent roles. We maintain a network of qualified candidates with relevant technical skills and insurance domain expertise. Our team understands the specific needs of your organization—whether you need someone to support pricing, reserving, or risk management—and we handle recruitment, background checks, and onboarding coordination so you can focus on your business.
What industries hire Actuarial Data Analysts?
Actuarial Data Analysts are in demand across the insurance sector, including life insurance, health insurance, property and casualty (P&C) insurance, and reinsurance companies. They also work in financial services firms that manage risk, pension funds, and consulting firms that advise insurers. Any organization that relies on actuarial modeling and data-driven decision-making can benefit from this role.
Ways to hire through ECLARO
ECLARO can fill this role through contract or contract-to-hire staffing, direct placement, an Employer of Record (EOR), recruitment process outsourcing (RPO), or a dedicated offshore team in the Philippines (ECAPTIVE).