Data & Insights Analyst
At Chubb, we invest in our most important resource, Our People. We like to challenge ourselves to be the best in our business.
We are the world’s largest publicly traded property and casualty insurer with operations in 54 countries. We’re distinguished by our extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally.
The Chubb name carries our promise of superior service, underwriting and execution. Our unique combination of people, products and places positions us to meet the needs of clients no matter where they
are in the world.
We have an exciting opportunity and are looking for someone who can match our passion and commitment to our customers and partners.
We have:
· A culture of highly driven and collaborative team members
· A fast paced, ever-changing “can do” environment
· A wide variety of learning experiences like development programs, coaching, mentoring, and eLearning tools
· A perfect place to work with people who have the desire to innovate
· Community involvement initiatives
As a Data & Insights Analyst, a typical day would include:
Reporting into the UAT & Data Manager, as the Data & Insights Analyst, you will be responsible for analyzing complex datasets, extracting valuable insights, and providing data-driven recommendations to support strategic decision-making. This role requires a strong understanding of data analysis techniques, statistical modeling, and the ability to communicate findings effectively to a range of stakeholders. As we continue to transform our digital servicing capabilities, across both Consumer & Commercial, this role plays a pivotal part in our success.
· Conduct data analysis: Collect, clean, and analyze large datasets using statistical software and programming languages (e.g., Python, R, SQL) to identify trends, patterns, and correlations.
· Generate insights: Interpret data findings and translate them into actionable insights that drive business strategies and decisions and improve operational efficiency.
· Develop predictive models: Build statistical models and algorithms to forecast future trends, customer behavior, and business outcomes.
· Collaborate with stakeholders: Work closely with cross-functional teams, including marketing, finance, IT, Business Heads and product development, to understand their data needs and provide analytical support.
· Data visualization: Create visually appealing and informative dashboards, reports, and presentations to effectively communicate complex data insights to non-technical stakeholders.
· Data quality assurance: Ensure data accuracy, integrity, and consistency by implementing data validation techniques and conducting regular audits.
· Stay updated with industry trends: Continuously enhance knowledge of data analysis techniques, emerging technologies, and industry best practices to drive innovation and improve analytical capabilities.
What you will need:
· Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Economics, or Computer Science.
· Minimum of 2 years of experience in data analysis, preferably in a business or marketing analytics role.
· Proficiency in statistical analysis tools (e.g., Python, R, SAS), data visualization tools (e.g., Tableau, Power BI), and database querying languages (e.g., SQL).
· Strong problem-solving skills with the ability to analyze complex data sets, identify patterns, and draw meaningful insights.
· Excellent written and verbal communication skills to effectively present findings and recommendations to both technical and non-technical stakeholders.
· Understanding of business operations, market dynamics, and customer behavior to provide data-driven insights that align with organizational goals.
· Strong attention to detail and accuracy in data analysis, ensuring high-quality deliverables.
· Ability to collaborate effectively with cross-functional teams and work in a fast-paced, deadline-driven environment.
· A will to win and a very strong & positive CAN DO attitude
