Actuarial Business Analyst (Hybrid)

MAPFRE•Webster, MA

31d•$77,700 - $114,500•Hybrid

About The Position

As a Technical Analyst II, you'll help drive business success by developing, validating, and maintaining critical data that supports our technical and finance teams. You'll use your analytical skills to uncover insights, solve problems, and support evolving business needs while ensuring data accuracy and integrity. Working across teams, you'll build a strong understanding of data, systems, and business processes to help inform decisions and improve outcomes across the organization.

Requirements

Bachelor’s Degree in Actuarial Science, Data Analytics, Mathematics, Statistics, Computer Science, Information Systems, Economics, Business Analytics, or related field
3+ years of experience working in Property & Casualty Insurance
Experience supporting actuarial, pricing, reserving, claims or predictive modeling functions strongly preferred
Strong analytical and coding expertise
Advanced SQL development skills including complex joins, Common Table Expressions (CTEs), aggregations, window functions, performance optimization and data validation techniques
Strong understanding of relational database concepts, data modeling and data warehouse principles
Prior experience with PowerBI preferred
Experience with Git, Bitbucket, source control or DevOps practices preferred
Experience implementing methodologies or process improvements
Ability to independently complete intermediate analyses and contribute to complex projects under managerial guidance
Demonstrated success managing multiple workstreams simultaneously and prioritizing tasks effectively

Responsibilities

Build and maintain countrywide datasets across all lines of business and systems
Develop, validate, and ensure the integrity of data used for business decision-making
Optimize processes and procedures to ensure data accuracy, consistency, and timeliness
Apply insurance domain knowledge to build datasets supporting Market Pricing analytical needs
Collaborate cross-functionally with teams including Advanced Analytics, IT, and business stakeholders
Partner with senior management to ensure analysis is clearly interpreted and drives appropriate action
Develop and optimize complex SQL queries, views and stored procedures to support analytical and reporting needs
Identify and implement process improvements to enhance operational efficiency
Make decisions across a wide variety of scenarios by interpreting guidelines and applying sound judgment and discretion
Provide training, mentorship, and guidance to less experienced team members
Communicate effectively with business partners and senior leadership
Efficiently retrieve, manipulate, and analyze large datasets
Support data governance, metadata management and documentation initiatives