MDM Analyst

Trellis IT inc.

Hyderabad

On-site

INR 900,000 - 1,500,000

Full time

3 days ago
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Job summary

SmartRecruiters, Inc. is seeking a data governance professional in Hyderabad to help establish and govern an enterprise data governance roadmap and information-based capabilities. The role focuses on data quality, protection, and governance standards across the organization.

You will manage an enterprise-wide data governance framework, work with IT and business units, and develop analytics and reporting to support governance decisions at the senior management level.

Qualifications

  • Minimum 3 years of experience in data management or governance in a large services organization.
  • Knowledge of data governance concepts, frameworks and data protection.
  • Experience with data quality standards, metrics, and stewardship.

Responsibilities

  • Help establish an enterprise data governance roadmap and information-based capabilities.
  • Manage enterprise-wide data governance framework and data quality improvements.
  • Develop and maintain inventory of enterprise information maps and owners.
  • Implement data quality and protection standards across the organization.
  • Prepare analytics and reporting for governance metrics and board updates.
  • Coordinate external data sources to reduce redundancy and cost.

Skills

Excel
SQL
Tableau
Python
R
Predictive Modelling
Data Governance
Data Quality

Education

Bachelor’s degree in CS / MIS / Information Management
Master’s degree (preferred)

Tools

SAP MDG
Oracle PDH
Informatica

Job description

Here are some of the skillsets I think will allow the candidate to be successful in the Data Governance team.

Someone will prior data management / data governance experiences will be able to pick things up quickly with minimal supervision on your part. More importantly, he/she will bring ideas / best practice to the table and provide good recommendations / requirements instead of learning on the job.

Job Description
  • 2+ years of experience in Data Management Practices and methodologies
  • Experience withProduct Masteror 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

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.
Additional Information

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 settingand 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.
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