Pricing Analytics & BI Engineer: Data, Dashboards & AI

AXA XL; Hartford (CT); On-site; USD 95,700 - 159,100; Full time

Benefits offered by this job

Competitive retirement plan

Health and wellness programs

Learning opportunities

Job summary

AXA XL seeks a Pricing Analytics & Models professional to transform data into actionable BI dashboards for pricing and underwriting. The role partners with actuaries and underwriters to translate business needs into data solutions, driving end-to-end projects and reporting innovations across a global team.

Experience with BI tools, data modeling, and AI-driven analytics is valued. The role focuses on Americas initially, with a base in multiple locations worldwide, including remote options.

Qualifications

• Proven experience developing BI solutions – dashboards, reports, and data models.
• Translate business needs into indicators to surface from data.
• Excellent analytical and investigative skills to diagnose issues and explain findings.

Responsibilities

• Gather, combine and transform data into flexible data models for dashboards and analytics.
• Develop and iterate BI dashboards giving pricing and underwriting clear insight.
• Collaborate with actuaries and underwriters to clarify requirements and translate into data specs.
• Manage end-to-end projects – scoping, planning, tracking, and stakeholder alignment.
• Explore AI and BI methods to improve data and reporting.
• Document data models, pipelines and solutions for transparency and handoff.

Skills

SQL

Python

R

Power BI

Databricks

SQL Server

Education

Actuarial qualification track (FIA/FCAS or equivalent)

Tools

Guidewire GW

GW Data Platform

GW Data Studio

Job description

AXA XL seeks a Pricing Analytics & Models professional to transform data into actionable BI dashboards for pricing and underwriting. The role partners with actuaries and underwriters to translate business needs into data solutions, driving end-to-end projects and reporting innovations across a global team.

Experience with BI tools, data modeling, and AI-driven analytics is valued. The role focuses on Americas initially, with a base in multiple locations worldwide, including remote options.