Data Governance Analyst

Renaissance Partners is a NYC based recruiting firm and trusted adviser to leading companies in the financial services,technology, retailand healthcare industries.

As a Data Governance Analyst with a leading design and manufacturing company you will work across all areas of the company to ensure data quality, data management, data policies and risk management. In addition you will ensure data is profiled to identify data attributes for security, understand content and opportunities to improve it with standards. You will also work with various stakeholders to make recommendations to improve data quality, data standardization and data transformation.

Responsibilities:

• Data usage/data management/data protection including.
• Perform data profiling of sources to assess data quality and work on mitigation strategies and cleansing solutions.
• Populate Metadata content and associate terms in the Business Glossary to develop the Informatica Enterprise Data Catalog.
• Resolve data issues in the appropriate forums and work cross functionally to develop solutions.
• Collaborate with Data, Analytics and IT teams and guide them on data standards and the use of Informatica tools.
• Identify relationships in data to assist in providing insights.
• Establish repeatable, sustainable processes to maintain data and metadata.
• Understand company and regulatory guidelines regarding data privacy, usage and retention (PII, GDPR, SPII).
• Deliver training and communications for new Informatica capability and Data Governance processes.
• Automate solutions to enable data protection for inter-related systems data.
• Utilize skills in Informatica Software:
  Data Quality, Profiling and Data. Management tools, SQL and Data discovery techniques.

Required:

• 8 + years of progressive responsibilities in Data Integration/Data Management
• Skills in Java, No
  
  SQL, HADOOP, IBM Data Stage/Quality Stage.
• Data Management tools, SQL and Data discovery techniques.
• Bachelor’s Degree in Computer Science, Statistics, Finance or a related technical field.

Preferred:

• Knowledge of Application Development Lifecycle.
• Strong collaboration and communications skills, ability to engage with others.
• Ability to resolve complex problems and break them down to create and implement an action plan.
• Ability to lead data related project activities.
• Self-Starter who can work in ambiguous situations and drive to a solution.
• Strong organizational skills and ability to advance multiple work streams concurrently.
• Ability to work within analytical frameworks in a Big Data environment (Data Lake, EDW, Data Warehouse architectures.