NO SPONSORSHIP

Business Data Governance

Rate: 55-65/hr - C2C 6 months

LOCATION: CHICAGO, IL

HYBRID 3 DAYS ONSITE AND 2 DAYS REMOTE

Looking for a Data Governance, Business Technical Analyst. This is both the business and technical perspective. You will define business rules and determine causes of data quality issues when defining business rules

Must have a holistic perspective on the entire data governance process from both a business and technical perspective. Act as a liaison and translation layer between business and technical teams and operates at system- and detailed technical level for analysis purposes. Work on new project requirements from initial requirements through full development life cycle and implementation.

• Responsible for gathering business and technical requirements to capture metadata and lineage working with Business and Technical SMEs.
• Lead Data Domain and Data Steward Workgroup meetings
• Work closely with Data Domain Owners and SME's to identify CDE's (Critical Data Elements) and define data elements for the Business Glossary
• Collaborate with Data Domain Owners to identify and define appropriate business rules
• Collaborate with the Metadata specialist to identify data sources
• Collaborate with data modelers to review definitions of business terms vs. technical terms
• Utilize data profiling and data quality tools to expose and determine causes of data quality issues when defining business rules
• Participate in metadata management utilizing IBM Metadata Asset Manager and the IBM Information Governance Catalog to build out the business glossary
• Implement data governance controls, procedures, and standards
• Develop and deliver presentations for department and senior leadership
• Perform other duties as assigned

Qualifications:

• Structured Query Language (SQL)
• Data Governance Tools example, Informatica, IBM ISEE, Collibra etc
• Experience working on APIs, Kafka as Data Sources is preferred.
• Proficient with Microsoft Office desktop tools (Word, Excel, etc.)
• Experience with Databases (ie Oracle, SQL Server, DB2, Amazon Redshift).
• Strong data analysis capabilities.