Senior Data Modeller
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Job Description
Data Modeler managing data analysis and modeling for EY's Data and Analytics team. Collaborating with data engineers to leverage data for business improvement.
Responsibilities:
- Employ tools and techniques used to understand and analyze how to collect, update, store and exchange data
- Define and employ data modeling and design standards, tools, best practices, and related development methodologies
- Design, review and maintain data models
- Perform data analysis activities to capture data requirements and represent them in data model visualizations
- Manage the life cycle of the data model from requirements to design to implementation to maintenance
- Work closely with data engineers to create optimal physical data models
- Identify areas where data can be used to improve business activities
Requirements:
- 8–10 years of relevant experience
- 5+ years of hands-on data modelling experience
- Experience with data modeling tools such as Erwin Data Modeler, ER Studio, Toad
- Strong knowledge of SQL
- Basic ETL knowledge including data mapping and transformation
- Good data warehouse knowledge
- Optional data visualization skills
- Knowledge of data quality and data profiling techniques
- Computer science graduate or equivalent
- Experience working in Agile delivery environments
- Strong analytical and problem-solving skills
- Proficiency in software development best practices
- Excellent debugging and optimization skills
- Experience with enterprise-grade solution implementations
- Ability to convert business problems into scalable technical solutions
- Excellent written and verbal communication skills
- Experience across the full solution delivery lifecycle
- Client management skills
Benefits:
- Competitive salary
- Flexible working hours
- Professional development budget
- Home office setup allowance
- Global team events
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