As a Data Modeler, a typical day involves engaging closely with various stakeholders including business representatives, data owners, end users, application designers, and data architects. The role focuses on understanding the existing data landscape and collaborating to design and refine data models that support both current and future business needs.
Responsibilities
Be an SME, collaborate and manage the team to perform
Responsible for team decisions
Engage with multiple teams and contribute on key decisions
Provide solutions to problems for their immediate team and across multiple teams
Lead efforts to ensure data models are scalable, maintainable, and aligned with business requirements
Serve as the technical backbone of JCB North America’s marketing database, transforming disparate data sources into rich, usable contact records that fuel targeted marketing and sales initiatives.
Compensation
JCB offers a comprehensive benefits package, including medical, dental, and vision insurance; 401 (k) retirement plan; paid time off and paid holidays.
Responsibilities
Design, develop, and maintain processes to aggregate, cleanse, and standardize contact data from multiple internal and external sources.
Manage data integrations between Salesforce and Oracle Eloqua, including field mapping, sync optimization, and error resolution.
Develop scripts, automation, and transformation logic using Apex, Python, and SQL to create and update contact records.
Configure and maintain Eloqua contact fields, custom data objects, and segmentation structures in alignment with marketing and sales needs.
Implement and maintain database hygiene processes, including duplicate detection, suppression list management, and contact washing logic.
Requirements
Bachelor’s degree in Marketing, Data Analytics, Business, or a related field
Nice to have: Bachelor’s degree in Computer Science, Information Systems, Data Engineering
Nice to have: 3+ years of experience with Salesforce data management, including Apex development
Nice to have: 2+ years of experience with Python for ETL, data transformation, or API integration
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