MDM Analyst

• 2+ years of experience in Data Management Practices and methodologies
• Experience with Product Master or knowledge of product master data attributes, product hierarchy, Attribute based Product Models is a big plus
• Proficiency in Microsoft Excel and SQL
• Strong analytical and problem-solving skills with attention to details
• Knowledge and understanding of data governance concepts and frameworks is required
• Knowledge of MDM systems like SAP_MDG, Oracle PDH, Informatica is a big plus
• Tableau, Reporting skills, Python experience is a plus

Roles and Responsibilities

• Help establish and govern an enterprise data governance implementation roadmap including strategic priorities for development of information-based capabilities
• Manage an enterprise wide data governance framework, with a focus on improvement of data quality and the protection of sensitive data through modifications to organization behavior policies and standards, principles, governance metrics, processes, related tools and data architecture
• Fulfill duties related to data governance and ensure clear accountability for stewardship of the company’s principal information assets
• Develop & maintain inventory of the enterprise information maps, including authoritative systems, owners
• Implementation of data quality standards, data protection standards and adoption requirements across the enterprise
• Maintain indicators of performance and quality metrics and ensure compliance with data related policies, standards, roles and responsibilities, and adoption requirements
• Develop Analytics and Reporting for various purposes as needed
• In conjunction with the IT, provide progress reports to Board management and oversee periodic updates to the Department Data Governance Roadmap
• Coordinate external data sources to eliminate redundancy and streamline the expense related to those services
• Facilitate new business opportunities pertaining to the use of information assets to achieve efficiency and effectiveness in the marketplace / represent data as a strategic business asset at the Senior Management table
• Ensure better quality, visibility and accountability of organizational data across systems
• Participate in trouble shooting of data exchanges across systems and help fix the immediate issues as well as help establish long term solutions to avoid data issues.

Qualifications

• Minimum of 3 years of experience in a major services organization, with large-scale data or project management
• Knowledge of industry in data quality and data protection management practices.
• Knowledge of data governance practices, business and technology issues related to management of enterprise information assets and approaches related to data protection.
• Knowledge of data related government regulatory requirements and emerging trends and issues.
• Demonstrated consulting skills, with change management concepts and strategies, including communication, culture change and performance measurement system design.
• Knowledge of risk data architecture and technology solutions.
• Internally and externally recognized subject matter expert that influence the way things are done.
• Bachelors or Master’s in computer science, MIS, or Information Management.

Desired Skills

• Highest personal and professional integrity and strong work ethics
• Results orientation, willingness to commit to a direction and drive operations to completion
• Ability to interact with teams and senior relationships across all the Brands and Functional areas
• Ability to develop cooperative and constructive working relationships
• Collaborative team player orientation towards work relationships, strong culture awareness
• Skills in priority setting and alignment of project priorities with Departmental strategy
• Ability to break down complex problems and projects into manageable goals
• Excellent in SQL, Databases, Reporting tools and other technologies required to produce analytics, reports and visuals.
• Sound Knowledge in DBMS, SQL and Salesforce.
• Building data-driven strategies using Data Analytics and Visualization.
• Programming experience in Python, R or predictive modelling techniques will be an added advantage. Requires Problem Solving ability.
• Should be familiar with Visualization tools such as Tableau or R-Shiny.