Business Analyst

Capgemini is looking for a talented and driven Business Analyst to join our team focusing on General Insurance Data Platform Modernization.

Our client is one of the largest insurance companies globally, known for its innovation, scale, and commitment to excellence. This role is part of a strategic data modernization program aimed at transforming the enterprise data landscape across regions.

We are seeking a seasoned Business Analyst with deep experience in data-driven projects within the financial services domain, particularly general insurance. The ideal candidate will play a pivotal role in bridging business needs with technical execution, supporting the delivery of a centralized, scalable, and modern data architecture.

As a Business Analyst, you will play a critical role in transforming our client's data analytics capabilities to better serve their customers in the general insurance domain. You will collaborate closely with stakeholders across various departments, translating business needs into actionable insights while ensuring that data-driven solutions align with broader business goals. Your expertise will guide projects to modernize and enhance data platforms, making a significant impact on the organization.

Key Responsibilities:

• Gather and analyze business requirements from stakeholders to inform the modernization of the insurance data platform.
• Develop and maintain data models, ensuring that they meet regulatory requirements and industry standards.
• Create detailed specifications for data integration and transformation processes.
• Collaborate with cross-functional teams including IT, data engineers, and data scientists to implement solutions.
• Facilitate workshops and meetings to engage stakeholders and communicate findings effectively.
• Monitor project progress, identify risks and issues, and propose mitigative actions to facilitate timely delivery.
• Support user acceptance testing and validate solutions against business requirements.

Location: India

• 7–10 years of total experience, with 5–6 years in data engineering/data-driven projects.
• Strong domain knowledge in financial services, preferably general insurance.
• Hands-on experience with Azure, Data Lake, and Databricks is mandatory.
• Solid understanding of ETL/ELT pipelines, data warehousing, and data lakes.
• Proven experience working on complex data architectures and global data integration projects.
• Excellent verbal and written communication skills; confident in client-facing roles.
• Strong interpersonal and collaboration skills to work effectively with cross-functional teams.
• Ability to work independently and manage multiple priorities in a fast-paced environment.

Other Desired Skills:

• Knowledge of general insurance products and processes.
• Experience in data governance and compliance standards.

Competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package
3. Career development and training opportunities
4. Flexible work arrangements (remote and/or office-based)
5. Dynamic and inclusive work culture within a globally renowned group
6. Private Health Insurance
7. Retirement Benefits
8. Paid Time Off
9. Training & Development
10. Performance Bonus

Note: Benefits differ based on employee level.

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 every day by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 350,000 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 reported €22 billion in revenues in 2024.