Hybrid Actuarial Data Science & Analytics Analyst

PA Compensation Rating Bureau.

Philadelphia (Philadelphia County)

Hybrid

USD 90,000 - 140,000

Full time

2 days ago
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Job summary

PA Compensation Rating Bureau in Philadelphia is seeking a data analytics professional to support actuarial research, business intelligence, and data analytics initiatives through statistical analysis, data engineering, and model development.

You will work with large datasets using Python, R, SQL, and Snowflake to automate processes, build dashboards, and translate research into actionable business insights for technical and non-technical audiences.

Qualifications

  • Bachelor’s degree in Mathematics/Statistics/Economics or CS strongly preferred.
  • 3–6 years experience in related field.
  • Strong programming skills in Python and R; proficient in data manipulation and statistical analysis.

Responsibilities

  • Conduct statistical analyses and actuarial/research models.
  • Design and maintain data pipelines and automated processes using Python, R, SQL, Snowflake, or other languages.
  • Extract, validate, and analyze data from multiple sources to support research and business initiatives.
  • Develop reports and visualizations; present findings to technical and non-technical audiences.

Skills

Python
R
SQL
Snowflake
Data manipulation
Statistical analysis
Process automation
Communication
Multitasking

Education

Bachelor's degree in Mathematics/Statistics/Economics/CS
Actuarial Science or Data Science-related Masters

Tools

SQL
Snowflake
Excel
Power BI
Tableau
Pyramid

Job description

PA Compensation Rating Bureau in Philadelphia is seeking a data analytics professional to support actuarial research, business intelligence, and data analytics initiatives through statistical analysis, data engineering, and model development.

You will work with large datasets using Python, R, SQL, and Snowflake to automate processes, build dashboards, and translate research into actionable business insights for technical and non-technical audiences.

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