Assists to develop, validate, document, and maintain business and functional requirements and process workflows associated with new data solutions with business and project team members.
Works with project teams to support key initiatives via: Analyzing data needs in support of key strategic initiatives; Facilitating and educating business units about current data assets; Helping develop data strategy plans to acquire new data assets.
Develop robust data models and schemas within Snowflake to support analytical workloads.
Analyzes existing and new data sources in support of expanding and improving the data driven culture within RGA
Builds business case templates to support department and organizational decision-making for future use cases and solutions.
Creates meaningful data visualizations and/or advanced wireframes that effectively articulate their story to colleagues and executives.
Responds to questions from business and IT teams.
Assists in evaluation of and tracking of new or enhanced solutions to determine potential issues and communicates how problems may affect business and recommends solutions.
Assists in performing task automation and implements process improvements; recommends enhancements that result in increased quality and service.
Requirements
Bachelor's Degree in Arts/Sciences (BA/BS) in Computer Science, Software Engineering, Math, Statistics, Actuarial Science, or related field required.
Master's degree in Arts/Sciences (MA/MS) or PhD in Computer Science, Software Engineering, Math, Statistics, Actuarial Science, or related field preferred.
5+ Years reporting/advanced analytic/business intelligence related experience, such as Business Analysis, Data Analysis, Statistical Analysis etc.
5+ Years of experience in the insurance or reinsurance industry.
Strong Japanese and English language proficiency are required.
Advanced PC and technical skills, including statistical programs (ex.: R, SAS, MATLAB, or Python), spreadsheets (VBA) and database applications (Access, Oracle, SQL or equivalent technology).
Advanced SQL expertise and hands-on experience with ETL/ELT tools.
Proficient with major cloud platforms, including AWS, Azure, and GCP.
Experience with predictive modeling and automation is a plus.
Experience in Insurance and Actuarial knowledge will be preferred.
Advanced knowledge in econometrics, statistics, math and/or computational finance.
Ability to quickly adapt to new methods, work under tight deadlines and stressful conditions.
Ability to work well within a team environment, participate in department/team projects and balance detail with departmental objectives.
Ability to liaise with individuals across a wide variety of operational, functional and technical disciplines.
Strong oral and written communication skills, demonstrating the ability to convey business terminology that is meaningful and well received.
Strong ability to handle multiple projects simultaneously.
#LI-KW1
What you can expect from RGA:
Gain valuable knowledge from and experience with diverse, caring colleagues around the world.
Enjoy a respectful, welcoming environment that fosters individuality and encourages pioneering thought.
Join the bright and creative minds of RGA, and experience vast, endless career potential.
Benefits
Health insuranceVision insurance
Additional Information
You desire impactful work.
You're RGA ready
RGA is a purpose-driven organization working to solve today's challenges through innovation and collaboration. A Fortune 200 Company and listed among its World's Most Admired Companies , we're the only global reinsurance company to focus primarily on life- and health-related solutions. Join our multinational team of intelligent, motivated, and collaborative people, and help us make financial protection accessible to all.
A Brief Overview
Under limited supervision, work with Pricing, Underwriting, Claims, Data Scientists and other relevant function teams to analyze business and functional requirements and establish processes to manage internal and external data for data-driven initiatives. Assists in evaluation of business requests to determine requirements, recommend analytic solutions, and communicate the value of data solutions to the enterprise.
Rgare · Tokyo, Japan