Lead Data Analyst

JOB DESCRIPTION

Why Chubb?

At Chubb, our mission is to provide superior insurance solutions that foster resilience and security for our clients.

We strive to be the preferred choice for individuals and businesses seeking comprehensive coverage and unmatched service.

Join Chubb for a rewarding career where our core values-excellence, integrity, and respect-guide every decision we make.

Be a part of a dynamic team that is dedicated to protecting what matters most and making a positive difference in the lives of our clients and communities.

Together, let's shape a safer, more secure world.

Job Summary:

Chubb, a leading global insurance company, is seeking a highly skilled and motivated lead analyst to join our Strategy and Operational Analytics team.

In this role, you will play a crucial part in driving data-driven insights and supporting strategic decision-making processes across the Claim Center organization.

As a Lead Data Analyst at Chubb, you will have the opportunity to work closely with diverse insurance business leaders, including cross-functional North America teams, to gather and analyze data requirements and contribute to the development of business KPIs.

You will apply advanced data analytics techniques, perform statistical analysis, and ensure data integrity and quality.

Additionally, you will have the chance to transform complex data into meaningful reports, dashboards, and visualizations, providing actionable insights to various internal stakeholders.

We are looking for a proactive and motivated individual with strong communication and presentation skills who can effectively engage with executive leadership.

If you have a passion for merging data analysis and statistical insights with business acumen, this role is an ideal fit for you!

Chubb Locations: Phoenix, AZ; Chesapeake, VA; O'Fallon, MO; and Jersey City, NJ

Position Responsibilities:


* Collaborate with insurance business leaders from various sectors, such as auto, property, casualty, and ISG, specifically within the Claim Center organization, to identify and clarify specific data requirements for each project, ensuring alignment with desired outcomes.


* Develop and establish key performance indicators (KPIs) in collaboration with business teams to track performance through data driven decision-making.


* Utilize advanced data analytics techniques, including statistical analysis and data visualization, to identify patterns, trends, and insights relevant to insurance claims strategy and operational analytics.


* Utilize a range of business analysis techniques, including driver analysis, root cause analysis, hypothesis testing, and ROI evaluation, based on team requirements.


* Transform raw data into meaningful and actionable reports, dashboards, and presentations that effectively communicate insights to key stakeholders.


* Proactively identify opportunities for process improvement and provide data-driven business recommendations based on anal...