Data Modeling Analyst (Senior)

As a senior data modeling analyst for an investment banking client, your role will involve engaging with business users to assess their information needs, reviewing business processes, and conceptualizing entities within the process. You will be responsible for developing entity relationship diagrams, identifying entity characteristics, and ensuring entities can be differentiated within the model. Your tasks will also include creating logical data models, validating them for business application needs, and transforming them into physical representations with the help of database administrators. Working closely with analytics teams, you will collaborate on creating optimized, reusable semantic models with metadata and lineage information. Key Responsibilities: - Engage with business users to assess their information needs - Review business processes and conceptualize entities within the process - Develop entity relationship diagrams - Identify entity characteristics and properties - Create logical data models and validate them - Transform logical models into physical representations - Collaborate with database administrators to manage data - Work with analytics teams to create optimized semantic models with metadata Qualifications Required: - Bachelor's / Masters degree in computer science, information technology, or a similar field - Proven experience in developing relational databases in an enterprise environment - Experience in developing models for Business Intelligence solutions - Strong analytical, data profiling, and problem-solving skills - Strong verbal and written communication skills - Advanced SQL skills - In-depth knowledge of modeling methodologies and techniques - In-depth knowledge of facilitation and conflict resolution processes - Experience with Business Intelligence products - Excellent teaming and communication skills If this opportunity excites you, click on the apply button to explore further. As a senior data modeling analyst for an investment banking client, your role will involve engaging with business users to assess their information needs, reviewing business processes, and conceptualizing entities within the process. You will be responsible for developing entity relationship diagrams, identifying entity characteristics, and ensuring entities can be differentiated within the model. Your tasks will also include creating logical data models, validating them for business application needs, and transforming them into physical representations with the help of database administrators. Working closely with analytics teams, you will collaborate on creating optimized, reusable semantic models with metadata and lineage information. Key Responsibilities: - Engage with business users to assess their information needs - Review business processes and conceptualize entities within the process - Develop entity relationship diagrams - Identify entity characteristics and properties - Create logical data models and validate them - Transform logical models into physical representations - Collaborate with database administrators to manage data - Work with analytics teams to create optimized semantic models with metadata Qualifications Required: - Bachelor's / Masters degree in computer science, information technology, or a similar field - Proven experience in developing relational databases in an enterprise environment - Experience in developing models for Business Intelligence solutions - Strong analytical, data profiling, and problem-solving skills - Strong verbal and written communication skills - Advanced SQL skills - In-depth knowledge of modeling methodologies and techniques - In-depth knowledge of facilitation and conflict resolution processes - Experience with Business Intelligence products - Excellent teaming and communication skills If this opportunity excites you, click on the apply button to explore further.