Our Client is one of the United States’ largest insurers, providing a wide range of insurance and financial services products with gross written premiums 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.
We are looking for a Data Analyst to be part of the Enterprise ML Ops Capability team dedicating to maturing our client's ability to deploy and train models at scale.
Key Activities
•Respond to both ad-hoc and routine requests for data, reports, or modeling pipelines by delivering the necessary information and analysis.
•Gain a clear understanding of customer goals and workflows, clearly explain system functionalities and constraints, and provide accessible data solutions.
•Evaluate data quality and implement corrective measures as needed.
•Assess how system modifications affect data and reporting structures, supporting testing and rollout processes.
•Contribute your data knowledge and insights to complex AI/ML modeling initiatives.
•Develop subject matter expertise across various data sources.
•Leverage proficiency in SQL and Python to design, build, and deploy robust, production-ready code for data pipelines and modeling, troubleshoot issues, and deliver effective solutions.
Working with business analytics team
- 4-6 years of experience in a similar role
- Full English Fluency
- 4 years in data extraction, manipulation, and presentation in usable format
- Bachelor’s degree preferably in Information Systems or related field.
- Experience Build and Deploy code
- Knowledge, business solutions
Technical & Business Skills
- Data Mapping - Intermediate
- Self Starter – Advanced
- Data Analytics
- Communication and Stakeholder Management
- SQL - Intermediate (4-6 Years)
- Python - Intermediate (4-6 Years)
- Snowflake (Desirable)
- AWS (Highly Desirable)
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 renowned group
- Private Health Insurance
- Pension Plan
- Paid Time Off
- Training & Development
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.
Top Skills
What We Do
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 270,000 team members in nearly 50 countries. With its strong 50 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 reported in 2020 global revenues of €16 billion.
