Senior Data Modeler
VSP Vision Care•Cynthian, OH
•$84,000 - $141,750
About The Position
The Sr. Data Solutions Engineer works directly with business stakeholders to design data and analytics capabilities that support business strategies and to develop the data models and structures that enable data-driven solutions. The Sr Data Solutions Engineer develops data models and structures that can be used within the business to find data-driven solutions.
Requirements
- Bachelor’s degree in computer science, data science, statistics, economics, or related functional area; or equivalent experience
- Excellent written and verbal communication skills with the ability to gather requirements and effectively communicate technical concepts and ideas to all levels of employees and management
- 6 years’ experience working with end users in development of analytical capabilities
- 6 years of hands-on experience in the data space spanning data modeling, SQL-based database management systems, integration, ETL/data pipeline design, and data visualization
- Experience years expert level SQL coding experience
Responsibilities
- Work with business stakeholders to identify how data can be leveraged to improve decision-making
- Work with technology teams to analyze data requirements (functional and non-functional) and provide data architectural design solutions for business and technology initiatives
- Assess the effectiveness and accuracy of data sources and data gathering techniques
- Design data structures, data models, and data pipelines, leveraging the support of subject matter experts to deliver business intelligence/data science capabilities for the organization
- Create data models at all levels including conceptual, logical, and physical
- Collaborate within an agile, multi-disciplinary team of data engineers, data analysts, UX designers, and scrum master to deliver solution
- Work with Data Scientists on optimizing batch and real-time processes for feature engineering, training models, and serving predictions
- Research, promote, and develop data architecture best practices, guidelines, procedures, and scalable frameworks
- Participate in architecture, governance, and design reviews
- Participate in evaluations of existing and emerging analytical technologies and provide recommendations
Benefits
- eligible bonuses and commissions
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What This Job Offers
Job Type
Full-time
Career Level
Senior
