The organization's results-driven, high-performance culture thrives on creativity, accountability and bold solutions. We are seeking a Predictive Analytics Analyst (Early Career) to join a newly formed team focused on enabling faster, more accurate, and forward‐looking financial decision‐making across Finance. This team brings together trusted data, advanced analytics, automation, and AI‐driven insights to shape business outcomes and elevate decision quality at the highest levels of the organization.
You will operate in an environment with high visibility and direct exposure to senior leadership, including the CFO and executive stakeholders. Develop and maintain data pipelines, ETL processes, and data transformations to support analytics workflows
Perform data extraction, preparation, and integration across multiple sources, ensuring data quality and reliability
Use SQL and programming tools (Python, R) to analyze large datasets and create analytical solutions
Evaluate model performance and contribute to ongoing enhancements and optimization
Design reports and visualizations to communicate insights and track performance metrics
Conduct ad‐hoc analyses to support emerging business questions and priorities
Build strong understanding of the enterprise data landscape, including finance and insurance data domains (pricing, underwriting, claims)
3+ years of experience in data analytics, predictive analytics, or a related field
~ Bachelor's degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Engineering or similar); Master's degree is a plus
~ SQL (advanced)
~ ETL and data pipeline development (advanced)

Python and/or R (intermediate)




Familiarity with data warehousing solutions such as Snowflake is a plus
Understanding of predictive modeling concepts and statistical analysis
Curiosity and ownership to understand data sources, systems, and business context end‐to‐end
Excellent communication skills, with the ability to clearly present insights and "tell the story behind the data"
Exposure to executive‐level presentations or stakeholder engagement is highly valued
While specific benefits may vary by country and employee level, offerings generally include competitive salary opportunities, performance‐based bonuses, comprehensive benefits, and ongoing training and development resources.
Personal Data Processing: The personal data provided during the recruitment and selection process will be collected, processed, and retained for legitimate recruitment and compliance purposes, in accordance with applicable data protection and privacy laws and FBS internal policies.
Legal Authorization to Work: Employment with FBS is conditional upon the candidate having valid, local legal authorization to work in the country where the role is based at the time of hire.S. companies on the 2025 Fortune 500 list. Personal Data Processing: The personal data provided during the recruitment and selection process will be collected, processed, and retained for legitimate recruitment and compliance purposes, in accordance with applicable data protection and privacy laws and FBS internal policies.
Legal Authorization to Work: Employment with FBS is conditional upon the candidate having valid, local legal authorization to work in the country where the role is based at the time of hire.

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