Data Modeler

About the job Data Modeler Role : Data ModelerLocation : Boston, MA (Hybrid role with 2-3 days in office every week)Role Overview : We are looking for a go-getter person who can define : Data strategies to meet the demands of business requirementsTechnical requirements of the organizational data needs from diverse teamsData architecture, models and go-forward data solutions for various teams of the organizationThe person will be working for a major Insurance client. He / She will work with different stakeholders to identify data points and analyze / profile the data to understand the data pattern, rules and underlying business logic. A suitable candidate should have minimum of 10 years of experience in a similar role and should possess a go -getter attitude. He / She should be able to deal with ambiguity. Experience in insurance is

Responsibilities & Skillsets : Collaborate with business and data teams to understand data requirements and translate them to into logical and physical data modelsDesign and develop data models that are efficient, scalable, and meet the specific needs of the insurance industryUtilize data modelling methodologies to ensure data integrity and consistencyCreate and maintain data dictionaries and metadata to document data models ad facilitate future data managementIdentify and resolve data model performance issues to optimize database efficiency and overall system functionalityWork collaboratively with database administrators and development team to ensure seamless data model implementationStrong understanding of relational database concepts like normalization, entity relationship modelling etc..Candidate Profile : Bachelors / Master's degree in computer science / engineering, operations research or related analytics areas; candidates with BA / BS / MCA degrees in the same fields from the top tier academic institutions are also welcome to applyMinimum 10 years of experience as a data modeler Able to work in fast paced and a continuously evolving environmentExcellent communication, collaboration and problem-solving skillsAbility to work independently and as part of a teamInsurance background is a must