Data Modeler
2 weeks ago
Role: Analytics Data Modeler
Onsite – 2 days a week / 3 days remote @ Pleasant Prairie, Wisconsin.
About the Role: We are looking for a Data Modeler who has experience in designing, developing, and deploying database models for application development to support business applications.
Job Responsibilities
· Design, develop, and deploy database models for application development to support business applications, ensuring system scalability, security, performance, and reliability.
· Perform data analysis and data modeling for operational applications and analytical databases.
· Be responsible for data classification, naming, database design, and DDL creation.
· Provide technical consulting for application teams for data naming, classification, design, and handling as a part of the first line of defense for data controls in designing systems.
· Suggest and implement improvements in architecture, team processes, and functions.
· Meet with clients as required to provide delivery expertise and drive results.
· Take accountability to complete work on time and raise blockers and issues to meet timelines.
· Ensure all deliverables are completed with high satisfaction and build client and peer relationships to build trust and confidence.
· Based on past and current client execution, work with peers to lead in the development of points of view, new solutions, and accelerators that will assist in driving results.
· Using your experience, provide leadership and guidance as needed with building out innovative solutions that will accelerate implementation and time to market for our clients.
Required Skills
· 12+ years of experience in IT, Data Analysis, Data Manipulation, or related work.
· Hands-on experience with Erwin
· Experience with databases and SQL
· Experience with dimensional modeling
· Understanding of data modeling best practices
· Full lifecycle experience in waterfall and agile development methodologies
· Intelligent but practical; you want to get things done and love simplicity.
Required Education: Bachelor’s degree in Computer Science, Information Technology, or a related field.
Required Experience: Minimum 12 plus years of experience in Data Analysis and Data Manipulation.
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