Insurance Analyst

A typical week often runs in claims systems, policy data, and analytical tools — pulling loss data, building exposure reports, working with underwriters on book composition, prepping analyses for actuarial or executive review. You're often the analytical bridge between raw insurance data and the business decisions that shape pricing, reserves, or strategy.

The friction tends to be the data-quality and definitional dependency — insurance data carries decades of system migrations and changing definitions, and clean analyses require patient reconciliation work. Variance across employers is wide: at major carriers analyst roles are specialized by line and function; at brokerages or smaller carriers you may handle broader cross-functional analysis.

Folks who do well here often carry strong SQL and Excel fluency, insurance-domain curiosity, and patience for messy data. CPCU, AINS, and analytics credentials anchor advancement. The trade-off is the support-role positioning — insights flow upward to underwriters, actuaries, or executives whose decisions land on the slide your model built.