FBS SR Analytics Engineer

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.

Key Responsibilities

• Create and iterate on data products and develop pipelines that can be utilized to provide this data on an on-going basis.
• Assist in enhancing data delivery across PL and Distribution.
• Assist with pivoting from antiquated technologies to enterprise standards.
• Responsible to understand, analyze & translate business data stories into a technical stories' breakdown structure.
• Design, build, test and implement data products of varying complexity, with limited coaching and guidance.
• Design, build, and maintain ETL / ELT pipelines using Python and SQL
• Develop data validation scripts in Python
• Write SQL queries to detect anomalies, duplicates, and missing values
• Work closely with data analysts, scientists, and business stakeholders

Requirements

Technical & Business Skills

Benefits

This position comes with competitive compensation and benefits package :

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.