Job
Description
Role Overview: As a Data Management Analyst at EY, you will have the opportunity to utilize your expertise in data analysis, reporting, and business intelligence to influence decision-making throughout the organization. Your role will involve managing extensive raw data, deriving data-driven insights, and producing high-quality reports for senior leadership. You will work with business leaders, subject matter experts, and IT stakeholders to gather and analyze business requirements, identify data-related challenges, and propose solutions both tactical and strategic. Key Responsibilities: - Work with business leaders, subject matter experts, and IT stakeholders to gather and analyze business requirements, identify data-related challenges, and propose solutions both tactical and strategic. - Understand and articulate the business case for analysis, including the business question to address and the estimated value to be delivered. - Develop data models, processes, and methods that enable data integration, data management, and efficient querying. - Implement strategies for data governance, data quality, data security, and data lifecycle management. - Implement data integration and exchange processes, leveraging APIs, data feeds, and batch processing. - Maintain a repository of documents such as data dictionaries, data lineage documentation, and data mapping documents. - Develop proof-of-concept prototypes, demonstrate data solutions, and stay updated with trends in data management and analytics. - Ensure that all processes and applications are in alignment with business goals, compliance, industry standards, and regulations for the Technology landscape. - Determine relevant data sources, collect, organize, and process data for analysis. - Ensure data security and privacy compliance by providing implementation guidance on appropriate access controls, data classification protocols, and data protection measures. - Design data management processes, including data identification, metadata management, data lineage, and data cataloging. - Define data sharing and collaboration across teams and departments, ensuring data access, usability, and proper data sharing agreements. - Identify trends and patterns of data to address business questions and provide insights through reporting and data visualization techniques. - Collaborate with other data and analytics professionals and teams to optimize, refine, and scale analysis into an analytics solution. - Ensure the confidentiality and protection of sensitive data. - Present actionable information and reports to senior leadership. Qualifications Required: - A Bachelor's degree in Computer Science, Data Science, Statistics, Information Systems, or a related field; or equivalent work experience. - Proven work experience as a Data Analyst or in a similar role. - Strong understanding of SQL, database structures, and related statistical software. - Proficiency in data visualization tools such as Tableau, Power BI, or similar. - At least 10-12 years of experience in business analysis, reporting, data analysis, and stakeholder management. Role Overview: As a Data Management Analyst at EY, you will have the opportunity to utilize your expertise in data analysis, reporting, and business intelligence to influence decision-making throughout the organization. Your role will involve managing extensive raw data, deriving data-driven insights, and producing high-quality reports for senior leadership. You will work with business leaders, subject matter experts, and IT stakeholders to gather and analyze business requirements, identify data-related challenges, and propose solutions both tactical and strategic. Key Responsibilities: - Work with business leaders, subject matter experts, and IT stakeholders to gather and analyze business requirements, identify data-related challenges, and propose solutions both tactical and strategic. - Understand and articulate the business case for analysis, including the business question to address and the estimated value to be delivered. - Develop data models, processes, and methods that enable data integration, data management, and efficient querying. - Implement strategies for data governance, data quality, data security, and data lifecycle management. - Implement data integration and exchange processes, leveraging APIs, data feeds, and batch processing. - Maintain a repository of documents such as data dictionaries, data lineage documentation, and data mapping documents. - Develop proof-of-concept prototypes, demonstrate data solutions, and stay updated with trends in data management and analytics. - Ensure that all processes and applications are in alignment with business goals, compliance, industry standards, and regulations for the Technology landscape. - Determine relevant data sources, collect, organize, and process data for analysis. - Ensure data security and privacy compliance by providing implementation guidance on appropriate access controls
