Data Science Analyst

PA Compensation Rating Bureau. • Philadelphia, PA

1d • Hybrid

About The Position

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.

Requirements

• Bachelor’s Degree – B.A. / B.S. Mathematics, Statistics, Economics or Computer Science strongly preferred.
• 3 to 6 years experience in related field.
• 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.
• The candidate must communicate effectively with all levels of personnel and external contacts.

Nice To Haves

• A degree in Actuarial Science or a Masters in Data Science related field a plus.
• Experience with business intelligence platforms such as Pyramid, Power BI, or Tableau is preferred.
• Actuarial background or experience in the property & casualty insurance industry is a plus.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level