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Data Analyst(P&C)

2 months ago

Trenton, New Jersey, United States Synechron Full time
About Synechron

Synechron is a global consulting firm that harnesses the power of digital to transform businesses. Our innovative approach combines creativity and technology to deliver industry-leading digital solutions. With a strong presence in the financial services and technology sectors, we offer a wide range of services, including Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering.

The Challenge

We are 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.

The Role

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.
Requirements

A minimum of 6 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 (e.g., 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.

It would be great if you also had:

  • Advanced degree in a related field.
  • Professional certifications related to data analytics or P&C insurance.
  • Experience with machine learning techniques and predictive modelling.
  • Familiarity with cloud-based data analytics platforms (e.g., AWS, Azure).