Data Scientist Insurance Jobs Near Me

Job Summary:
MDAEdge is a company specializing in data solutions, and they are seeking a Data Scientist with expertise in Insurance and Financial Services. The role involves designing data models, executing data analysis, and collaborating with stakeholders to align data solutions with business needs.
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.
Qualifications:
Required:
• 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).
• Experience working in Agile environments using Lean, Kanban, and Scrum practices.
Preferred:
• Background in the Insurance and Financial domains is highly desirable.
• Domain experience in Insurance and Financial Services is highly preferred.
Company:
The world doesn't have a talent shortage. It has a talent alignment problem. MDA Edge exists to fix that. Founded in , the company is headquartered in Sheridan, WY, US, , with a team of 51-200 employees. The company is currently Growth Stage.