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Job ID : 38225

Location : New York, NY

Company Name : MSIT

Job Type : Full-Time, Part-Time, Contract, Training

Industry : Information Technology

Salary : $25000 - $35000  per year

No. of Positions : I have ongoing need to fill this role


Required Skills : Data visualization, Critical thinking, Data cleansing..

Benefits : Medical Insurance, Dental Insurance, Vision Insurance, 401K, Life Insurance


Job Description :


 Responsibilities:

  • Engage with business users, data stewards and stake holders to assist implementation of data management program enabling them to manage data efficiently and consistently with high quality while holding them to account.
  • Provide functional and technical leadership to educate data owners, stewards and stake holders the why and how of data management in ERP and other enterprise applications in the areas of CRM, Pricing, HR, financial consolidation, maintenance, MES, quality, transportation etc.,
  • Oversee operations of cross functional teams & engage with data owners, stewards to adhere to and maintain the master data governance processes.
  • Determine and prioritize key data and data attributes such as customers, suppliers, Items, chart of accounts, finance dimensions that need to be harmonized within a system and across multiple systems.
  • Participate in data migration activities to ensure compliance of data governance processes during data cleansing, data creation, data conversion, issue resolution, and data validation.
  • Establish, maintain and document data standards, data definitions using enterprise business glossary, data security and data privacy.
  • Assist in defining roles and responsibilities related to data governance and ensure clear accountability for stewardship of the company's principal information assets.
  • Lead the development and implementation of data quality metrics and dashboards to proactively identify and resolve data quality issues in close coordination with data owners and stewards.

Key Skills:

  • Data visualization.
  • Critical thinking.
  • Data cleansing.
  • Machine learning.
  • Problem solving.
  • SQL.
  • Analytical skills.
  • Collaboration.

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