FBS - Senior DATA Analyst Inf Delivery (Knowledge in Insurance Products)

The Specialty Business Information Delivery (BID) team at Capgemini enables data-driven decision-making across various departments by delivering trusted, timely, and actionable analytics. As a Senior Data Analyst, you will support the delivery and management of data, reports, and analytics across the organization, with work grounded in querying and integrating data from Mainframe/DB2 systems and Snowflake data warehouses.

Responsibilities:

• Support the delivery and management of data, reports, and analytics across the organization
• Gather, clean, and transform structured data
• Develop basic to moderately advanced reports and dashboards
• Implement guided and embedded analytics, as well as data-as-a-service capabilities
• Partner with internal teams to gather requirements and ensure information delivery systems are efficient, accurate, and aligned with business objectives
• Conduct basic exploratory data analysis (EDA)
• Collect data from various sources and integrate and transform disparate datasets to create cohesive datasets for reports and dashboards
• Assess data quality and apply data hygiene techniques to ensure accuracy and consistency
• Support data reliability by conducting quality checks, documenting data processes, and collaborating with more experienced analysts for peer review and data validation as needed
• Participate in discussions with cross-functional business partners and teams to understand and collaborate on complex business objectives
• Assist in influencing solution strategies and outcomes by leveraging a working knowledge of the business
• Use foundational experience in data management or analysis to provide insights that support decision-making
• Aid the adoption of insights delivery solution among business partners, including reporting, guided analytics, self-service, embedded, augmented, and data as a service capability
• Coordinate with cross-functional technical teams including data governance, IT, data engineers and others to ensure data integrity and optimize data pipelines
• Identify data quality issues and collaborate to resolve them
• Stay informed about emerging reporting and data visualization methodologies, tools, and best practices
• Apply knowledge and continuous learning to improve own performance and the quality of work produced
• Actively seek feedback from more experienced team members and engage in professional development opportunities to enhance skills and contribute effectively to team objectives

Requirements:

• English Proficiency: Fluent
• Data Analytics: Intermediate
• Project Management: Intermediate
• Reporting: Intermediate
• Power BI: Advanced
• Python: Advanced
• SQL: Intermediate
• Excel: Intermediate
• Knowledge in Insurance Products

Benefits:

• Competitive salary and performance-based bonuses
• Comprehensive benefits package
• Career development and training opportunities
• Flexible work arrangements
• Dynamic and inclusive work culture within a globally renowned group
• Private Health and Dental Insurance
• Pension Plan
• Meals tickets
• Life Insurance