Data Quality Analyst

Responsibilities:

• Work closely with Data Domain Owners and SMEs to identify CDE’s (Critical Data Elements), define data elements for the Business Glossary and define business rules.
• Identify data sources and build out business glossary collaborating with data owners/stewards, collaborate with data modelers to review definitions of business terms vs technical terms.
• Ability to communicate effectively with Business and Technical SMEs, Architects, Analysts, Developers and other IT and business teams.
• Create, develop, configure and execute end to end business and technical data lineage across disparate sources working with business and technical SMEs/developers understanding the applications system/technical design and create data flow diagrams/data mappings.
• Experience working on metadata management ingesting metadata using metadata bridges/connectors, creating and ingesting custom source to target mappings, custom metadata assets.
• Develop Metadata, Data Lineage and Data Quality Solutions for multiple data sources across On Prem and Cloud environments including but not limited to Kafka, Protocol Buffers, REDIS, APIs, Databases, Flat Files, JSON, ETL/BI Tools and other Data Platform technologies etc.

Qualifications/Skills:

• Proficient with SQL.
• Strong data analysis capabilities.
• Proficient with Microsoft Office desktop tools (Word, Excel, etc.)
• Experience with Databases (i.e. Oracle, SQL Server, DB2, Amazon Redshift, NoSQL, Object-based) and ETL tools.
• Previous experience in designing and building data capabilities like data quality, metadata, data lineage, data catalog and data dictionary.
• Experience with Business Intelligence/ Reporting tools such as Tableau / Cognos.