Data Scientist - Insurance & Financial Services

Responsibilities Demonstrated experience working directly with stakeholders, business partners, SMEs, systems peers, and cross-functional teams to gather data requirements and design data models that align with business needs. Skilled in structured execution of data analysis, data profiling, and data mapping tasks. Ability to translate current and future business requirements into conceptual, logical, and physical data model designs. Proficient in using standard data modeling tools (e.g., Erwin, ER/Studio, Toad Data Modeler, PowerDesigner). Experienced in designing data models for various patterns (e.g., relational, dimensional, hybrid) supporting data warehouse, BI, and big data applications. Skilled in creating new data models and extending existing ones across multiple DBMS platforms (e.g., Oracle, SQL Server, DB2, Snowflake, Teradata, NoSQL). Strong understanding of complex data integration and ETL processes; able to explain these clearly to both technical and non-technical stakeholders. Demonstrated ability to identify and resolve data model performance issues to optimize database functionality and overall system performance. Experienced in documenting and communicating data model designs and standards to ensure understanding and adherence across the organization. Excellent communication skills, with the ability to collaborate effectively with individuals across all levels of business and technology functions. Fluency in Python, SQL, and Unix. High proficiency in writing complex SQL queries. Experience with version control of databases and metadata management tools (e.g., Git, Liquibase). Background in the Insurance and Financial domains is highly desirable. Experience working in Agile environments using Lean, Kanban, and Scrum practices. Job Summary Demonstrated experience working directly with stakeholders, business partners, SMEs, systems peers, and cross-functional teams to gather data requirements and design data models that align with business needs. Skilled in structured execution of data analysis, data profiling, and data mapping tasks. Ability to translate current and future business requirements into conceptual, logical, and physical data model designs. Proficient in using standard data modeling tools (e.g., Erwin, ER/Studio, Toad Data Modeler, PowerDesigner). Experienced in designing data models for various patterns (e.g., relational, dimensional, hybrid) supporting data warehouse, BI, and big data applications. Skilled in creating new data models and extending existing ones across multiple DBMS platforms (e.g., Oracle, SQL Server, DB2, Snowflake, Teradata, NoSQL). Strong understanding of complex data integration and ETL processes; able to explain these clearly to both technical and non-technical stakeholders. Demonstrated ability to identify and resolve data model performance issues to optimize database functionality and overall system performance. Experienced in documenting and communicating data model designs and standards to ensure understanding and adherence across the organization. Excellent communication skills, with the ability to collaborate effectively with individuals across all levels of business and technology functions. Fluency in Python, SQL, and Unix. High proficiency in writing complex SQL queries. Experience with version control of databases and metadata management tools (e.g., Git, Liquibase). Background in the Insurance and Financial domains is highly desirable. Experience working in Agile environments using Lean, Kanban, and Scrum practices. Must Have Proficiency with standard data modeling tools (e.g., Erwin, ER/Studio, Toad DM, PowerDesigner). Experience designing data models across multiple distinct patterns (relational, dimensional, hybrid) for data warehouses, BI, and big data applications. Ability to create new and extend existing data models across various DBMS platforms (Oracle, SQL Server, DB2, Snowflake, Teradata, NoSQL). Strong understanding of complex data integration and ETL processes. Proven ability to identify and resolve data model performance issues to enhance system functionality. Ability to clearly document and communicate data model standards to ensure organizational alignment. Strong interpersonal and communication skills to interact across all business and technical levels. Proficiency in Python, SQL, and Unix. High-level expertise in generating complex SQL queries. Familiarity with version control and metadata tools (e.g., Git, Liquibase). Domain experience in Insurance and Financial Services is highly preferred. Hands-on experience in Agile methodologies including Lean, Kanban, and Scrum. #J-18808-Ljbffr MDAEdge