Capgemini
Data Analyst for a Top Ten US Insurance Carrier
Job Description
Our Client is one of the United States’ largest insurers, providing a wide range of insurance and financial services products with gross written premium well over US$25 Billion (P&C). They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees. Finally, our Client is part of one the largest Insurance Groups in the world.
Capgemini is seeking a highly motivated and detail-oriented Data Analyst for a top 10 US Insurance Carrier.
Location: Argentina, Brazil, Colombia or Mexico.
As a Data Analyst, you will play a critical role in analyzing complex data sets to generate meaningful insights and support data-driven decision-making processes. You will collaborate with cross-functional teams to identify business requirements, design data models, and develop innovative solutions using advanced analytics techniques.
Requirements
Key Responsibilities:
- Collect, clean, and transform large datasets using SQL and other data manipulation tools.
- Analyze data to identify trends, patterns, and correlations that can drive business insights.
- Create and maintain data visualizations and reports using tools such as Tableau, Power BI, or Qlik Sense.
- Develop and implement advanced analytical models and algorithms to solve complex business problems.
- Collaborate with stakeholders to understand business requirements and translate them into data-driven solutions.
- Stay up-to-date with industry trends and best practices in data analysis and data visualization.
Qualifications and Experience:
- Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field.
- Proven experience as a Data Analyst or similar role, preferably in the insurance industry.
- Strong proficiency in SQL and data manipulation tools.
- Experience with data visualization tools such as Tableau, Power BI, or Qlik Sense.
- Proficient in programming languages such as Python or R.
- Knowledge of statistical analysis and data mining techniques.
- Excellent problem-solving and critical-thinking abilities.
- Strong attention to detail and accuracy in analyzing and interpreting data.
- Effective communication skills, with the ability to present complex findings in a clear and concise manner.
Benefits
This position comes with competitive compensation and benefits package:
- Competitive salary and performance-based bonuses
- Comprehensive benefits package
- Career development and training opportunities
- Flexible work arrangements (remote and/or office-based)
- Dynamic and inclusive work culture within a globally reknowned group
- Private Health Insurance
- Pension Plan
- Paid Time Off
- Training & Development
- Performance Bonus
About Capgemini
Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group €22.5 billion in revenues in 2023.
