EY Data Management Analyst - Assistant Director 

India, Kerala, Kochi 

491326526

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.

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 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.