Job
Description
Role Overview: At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. EY is looking for a Data Modeller - Senior to join the Data and Analytics team. This role offers a fantastic opportunity to be part of a leading firm and contribute to a growing Data and Analytics team. Key Responsibilities: - Employ tools and techniques for understanding and analyzing data collection, updating, storing, and exchanging data. - Define and apply data modeling and design standards, tools, best practices, and development methodologies. - Design, review, and maintain data models. - Perform data analysis activities to capture data requirements and visually represent them in data models. - Manage the lifecycle of data models from requirements to design, implementation, and maintenance. - Collaborate with data engineers to create optimal physical data models of datasets. - Identify opportunities where data can enhance business activities. Qualification Required: - Computer science graduate or equivalent with 3 - 7 years of industry experience. - Working experience in Agile-based delivery methodology is preferable. - Strong analytical skills with a proactive and self-motivated working style. - Proficiency in Software Development Best Practices. - Excellent debugging and optimization skills. - Experience in Enterprise grade solution implementations and converting business challenges into technical solutions. - Excellent communicator with client management skills. - Experience in data modeling tools such as Erwin Data Modeler, ER studio, Toad, etc. - Strong knowledge in SQL, Basic ETL skills, Datawarehouse knowledge, and optional Visualization skills. - Knowledge in Data Quality (DQ) and data profiling techniques and tools. Additional Details: EY exists to build a better working world by creating long-term value for clients, people, and society and building trust in the capital markets. Enabled by data and technology, EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate across various services. Working at EY involves asking better questions to find new answers for the complex issues facing the world today. Role Overview: At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. EY is looking for a Data Modeller - Senior to join the Data and Analytics team. This role offers a fantastic opportunity to be part of a leading firm and contribute to a growing Data and Analytics team. Key Responsibilities: - Employ tools and techniques for understanding and analyzing data collection, updating, storing, and exchanging data. - Define and apply data modeling and design standards, tools, best practices, and development methodologies. - Design, review, and maintain data models. - Perform data analysis activities to capture data requirements and visually represent them in data models. - Manage the lifecycle of data models from requirements to design, implementation, and maintenance. - Collaborate with data engineers to create optimal physical data models of datasets. - Identify opportunities where data can enhance business activities. Qualification Required: - Computer science graduate or equivalent with 3 - 7 years of industry experience. - Working experience in Agile-based delivery methodology is preferable. - Strong analytical skills with a proactive and self-motivated working style. - Proficiency in Software Development Best Practices. - Excellent debugging and optimization skills. - Experience in Enterprise grade solution implementations and converting business challenges into technical solutions. - Excellent communicator with client management skills. - Experience in data modeling tools such as Erwin Data Modeler, ER studio, Toad, etc. - Strong knowledge in SQL, Basic ETL skills, Datawarehouse knowledge, and optional Visualization skills. - Knowledge in Data Quality (DQ) and data profiling techniques and tools. Additional Details: EY exists to build a better working world by creating long-term value for clients, people, and society and building trust in the capital markets. Enabled by data and technology, EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate across various services. Working at EY involves asking better questions to find new answers for the complex issues facing the world today.
