As a member of the Consultative Analytics team, you will drive quantitative insights to improve results for our clients and claimants. You will benefit from hands-on training and apprenticeship from company leaders. Success in the role will lead to high potential for promotion within 2-3 years, either within the Consultative Analytics team or into other functional areas. 

Gallagher Bassett is a for-profit company with a positive social impact. We help injured workers get back to health (and back to work) faster, cheaper, and with less administrative burden. In broader terms, we’re a company of experts navigating the complex world of claims management so that our clients can focus on their own businesses. GB has over 4,000 employees, with operations in the US, Canada, UK, and Australia. 

·        Competitive salary and benefits

·        Fun and flexible work environment

·        Apprenticeship model with significant development opportunities and emphasis on professional growth

·        Challenging, thought-provoking work

·        Answer complex questions by generating hypotheses and quantitatively testing them; for example:

—     Determining why injured workers at some companies return to work faster than at others, through analysis of data on hundreds of thousands of injured workers

—     Quantifying the impact of utilizing best practices

—     Collaborating with industry experts to identify drivers of claim risk, and developing a tool to drive focus on risky claims

—     Identifying opportunities for specific companies to get workers back to work faster

—     Writing white papers on trends that impact the insurance or workers compensation industries

—     Building financial models to show impact of macro trends on Gallagher Bassett and its clients

·        Package and present insights from analyses to clients and/or executive team

·        Conduct primary and/or secondary research to identify required data to solve a given business question

·        Oversee build-out of tools/technology corresponding to above responsibilities

·        Bachelor’s degree or higher with strong academic credentials

·        Proficient with Excel and PowerPoint; ideally familiar with enterprise analytics skills such as: R, Python, SQL, SAS, Power BI, Tableau