Day Onsite
Warren,NJ
Job Overview : Client is seeking a highly skilled and experienced Data Analyst to join our analytics team. The ideal candidate will have a strong background in SQL, Python, R, and various analytics platforms , with specific experience in the Property & Casualty (P&C) insurance domain.
The role involves working with large datasets to provide insights and support decision-making across the organization.
Key Responsibilities :
- Develop and maintain SQL databases, including data extraction , transformation, and loading (ETL ) processes.
- Implement robust data analysis models and algorithms using Python and R.
- Generate actionable insights from complex datasets to support P&C insurance operations.
- Design and create data reports and visualizations for stakeholders using analytics software.
- Work closely with cross-functional teams to understand data needs and deliver solutions.
- Ensure data integrity and accuracy in all analytics endeavors.
- Identify, analyze, and interpret trends or patterns in complex data sets.
- Collaborate with IT and data management teams to expand and enhance data collection and analytics capabilities.
- Provide technical expertise and recommendations in assessing new data-related software and initiatives to support and enhance our existing systems.
- Document analytics processes, procedures, and results effectively to facilitate knowledge sharing.
Qualifications :
- A minimum of years of experience in data analysis, with a focus on the P&C insurance industry.
- Proficiency in SQL and experience with complex query development.
- Strong programming skills in Python and R.
- Experience with analytics and visualization software (, Tableau, Power BI).
- Knowledge of P&C insurance principles, trends, and key metrics.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills to work effectively with both technical and non-technical teams.
- Ability to manage multiple projects simultaneously and meet tight deadlines.
Preferred Skills :
- Advanced degree in a related field.
- Professional certifications related to data analytics or P&C insurance.
- Experience with machine learning techniques and predictive modeling.
- Familiarity with cloud-based data analytics platforms (, AWS, Azure).
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