Actuarial Data Science Analyst (Insurance Hybrid role)

PA Compensation Rating Bureau.; False Pass (AK); Hybrid; USD 70,000 - 110,000; Full time

Job summary

PA Compensation Rating Bureau. is seeking a data analytics professional to support actuarial research and business intelligence initiatives.

The role involves statistical analyses, data pipeline design, and development of reports using Python, R, SQL, and Snowflake. Collaboration across projects and effective communication with technical and non-technical audiences are essential.

Qualifications

• Bachelor's degree in Mathematics, Statistics, Economics or Computer Science is strongly preferred.
• Actuarial Science degree or a Masters in Data Science is a plus.
• 3–6 years of related experience preferred.

Responsibilities

• Design and maintain data pipelines and analytical models.
• Perform actuarial and statistical analyses.
• Develop reports and dashboards for stakeholders.

Skills

Python

R

SQL

Snowflake

Excel

Data analysis

BI tools

Communication

Education

Bachelor's degree in Mathematics/Statistics/Economics/CS

Tools

Snowflake

Power BI

Tableau

Pyramid

Job description

Job Description

Job Description

Job Summary:

This position supports actuarial research, business intelligence, and data analytics initiatives through statistical analysis, data engineering, and analytical model development. The employee is responsible for designing and maintaining data pipelines, performing actuarial and statistical analyses, developing analytical tools and dashboards, and communicating research findings and recommendations to technical and non-technical audiences.

The position works with large datasets using programming languages such as Python and R, SQL, and Snowflake to automate processes, conduct research, and support strategic business decisions. Responsibilities include developing reports and visualizations, evaluating emerging analytical methods, and participating in multiple concurrent projects, including research studies, data integration, predictive analytics, and business intelligence initiatives.

Essential Responsibilities:

• Responsible for statistical analyses, actuarial and/or research models
• Design and maintain data pipelines, analytical models, and automated processes using Python, R, SQL, Snowflake, or other programming languages.
• Extract, validate, and analyze data from multiple sources to support research and business initiatives.
• Drawing inferences, developing reports, and presenting analysis and recommendations to technical and non-technical audiences.
• Participates in multiple research, business intelligence, and data analytics projects simultaneously

Requirements:

Education: Bachelor's Degree - B.A. / B.S. Mathematics, Statistics, Economics or Computer Science strongly preferred. A degree in Actuarial Science or a Masters in Data Science related field a plus.

Experience: 3 to 6 years experience in related field.

Skills Required: Strong organizational, communication, written, and analytical skills with the ability to work independently and manage multiple priorities. Programming proficiency in Python and R is a core requirement, including experience with data manipulation, statistical analysis, and process automation. Experience with SQL, Snowflake, and advanced Excel is required. Experience with business intelligence platforms such as Pyramid, Power BI, or Tableau is preferred. The candidate must communicate effectively with all levels of personnel and external contacts.

Preferred Qualifications

• Actuarial background or experience in the property & casualty insurance industry is a plus.

Work Hours:

Normal PCRB hybrid Flex time is available. Employee must be flexible when needed as projects or deadlines may sometimes necessitate extended hours.