FBS - Predictive Analyst II

• 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
• Background in insurance industry is strongly preferred (pricing, underwriting, claims), but not mandatory
• Actuarial knowledge or qualification is a plus
• Strong hands-on experience with:

SQL (advanced)

ETL and data pipeline development (advanced)

• Working knowledge of:

Python and/or R (intermediate)

• Familiarity with data warehousing solutions such as Snowflake is a plus
• Understanding of predictive modeling concepts and statistical analysis
• Strong analytical thinking and attention to detail
• Ability to work independently with minimal guidance in an unstructured, evolving environment
• 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”
• Relationship-building mindset, proactively engaging stakeholders across functions
• Adaptability and comfort working in a fast-paced, startup-like environment within a larger organization
• Experience working with finance or enterprise datasets is a plus
• Exposure to executive-level presentations or stakeholder engagement is highly valued