Job Description
Intro
Gallagher is a global leader in insurance, risk management and consulting services. We help businesses grow, communities thrive and people prosper. We live a culture defined by The Gallagher Way, our set of shared values and guiding tenets. A culture driven by our people, over 40,000 strong, serving our clients with customized solutions that will protect them and fuel their futures.
As a member of our global brokerage team, you’ll help our clients address risk, protect assets and recover from losses.
Overview
The successful candidate will join Gallagher Re at an exciting time as the company launches its new Global Data Analytics function.
The Data team is recruiting Data Scientists, Data Engineers, Product Managers and Software Engineers to join us in developing innovative Data Products that change the way that insurers, reinsurers, and broking teams understand and manage risk.
About the team :
- You will join a new team of experienced actuaries, data scientists, brokers, and subject matter experts to develop the next generation of client-focused data-driven applications : blending data, software engineering, and industry knowledge.
- The team heavily leverages technologies such as R or Python and Azure Cloud services.
- With strong executive support and ambitious growth plans, data is central to Gallagher Re’s strategy.
- Joining the team at an early stage you will help effect change that improves business workflows and empowers fellow employees to do with modern cloud technologies.
- Your work will deliver real world business value, enabling Gallagher Re to offer clients market leading risk analysis, and win new business.
Summary :
The Data Analyst will be responsible for collecting, cleaning, and analyzing data to help the Global Data Analytics team develop and deliver innovative data products. The Data Analyst will work closely with the Lead Software Engineer, other data analysts, and business stakeholders to identify and solve data-driven problems.
Responsibilities
Responsibilities :
Collect, clean, and prepare data for analysisUse statistical and machine learning techniques to analyze dataIdentify and communicate data-driven insightsDevelop and deploy data visualizationsWork with stakeholders to gather requirements and define success metricsStay up-to-date on the latest data analytics trends and technologiesQualifications
Qualifications :
Bachelor's degree in a related field (e.g., statistics, computer science, mathematics)2+ years of experience in data analysis, business intelligence or software developmentStrong programming skills in R or Python and SQLExperience with data visualization tools (e.g., Power BI)Ability to work independently and as part of a teamExcellent communication and presentation skillsDesire to learnDesirable Qualifications :
Experience with cloud computing platforms (e.g., AWS, Azure, GCP)Experience with Git and Posit ConnectExperience with insurance dataKnowledge of the reinsurance industryData visualization and presentationCandidates can sit in Seattle,Toronto, New York City, Nashville, Minneapolis, or Chicago
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