Job Description

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. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
Business Office - Data Management Analyst - Assistant Director
The Opportunity
We are looking for a Data Management Analyst to join our team. The ideal candidate will utilize their expertise in data analysis, reporting, and business intelligence to influence decision-making throughout the organization. This role involves managing extensive raw data, deriving data-driven insights, and producing high-quality reports for senior leadership.
Key Responsibilities:
To describe the responsibilities more concisely, you can focus on the key tasks and outcomes. Here is a more concise version:
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 repository of document 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 the processes and applications are in alignment with business goals, compliance, industry standards, and regulations for 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 cataloguing.
• 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.

Skills and Attributes for Success:

• Strong analytical and leadership skills with meticulous attention to detail.
• Excellent communication and presentation skills; capable of clearly presenting complex data to non-technical audiences.
• Ability to work autonomously, lead initiatives and collaboratively within a team.
• Ability to interpret complex data and present it in an easily understandable format.

Technical Expertise:
Must-Have:

• Ability to understand business challenges and address remediations through data solutions.
• Practical experience using latest technologies for data ingestion, integration, transformation, storage, mining/warehousing, big data analytics, and visualization.
• Good understanding of traditional data architecture practices (data warehousing, datahub, MDM etc.) as well transition to Next-Gen platform architectures
• Proficiency in project management methodologies and tools.
• Prior base-level experience in a data governance or data management role, with a focus on data quality, metadata management, and data stewardship.
• Strong conceptual knowledge of Business Intelligence, Data Warehousing and Master Data Management.
• Excellent communication, presentation, and interpersonal skills.
• Strong organizational skills and attention to detail.
• Good understanding of relevant data governance solutions available in market

Good-to-Have:

• Ability to understand business challenges and address remediations through data architecture and engineering solutions.
• Practical experience with one or more of strategic Data Architecture and Engineering, Cloud Data Modernization, Data migration project
• Practical experience using latest technologies for data ingestion, integration, transformation, storage, mining/warehousing, big data analytics, and visualization.

To qualify for the role, you must have:

• 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.

EY | Building a better working world
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Skills Required