Elaine Liu
Data Quality Assessment Framework (DQAF) | Data Analysis | Statistical Data Analysis | Data Modeling | PL/SQL | EDI | Python | R | DB2 | COBOL | UNIX | SAS | Oracle DBA | Agile | Software Troubleshooting
- Role
- Senior Data Quality Analyst at UnitedHealth Group
- Location
- Minneapolis, MN, US
- LinkedIn followers
- 500 followers
About Elaine Liu
Senior Information Technology professional with health care and telecommunication industry experience in managing and developing technology solutions. • Passionate about aligning the company\'s business goals and ideas to operational reality. I am known for seeing the big picture, developing trusted relationships, implementing practical solutions, and getting things right and done. • Dedicated to the long term strategy of establishing an enterprise data quality culture where quality information is achieved, maintained, valued, and used to enable business growth and innovation.
Experience
Senior Data Quality Analyst
Jan 2018 — Present
Participated in the development and deployment of a data quality framework/standards consisting of data quality metrics, policies and processes data flow patterns, data lineage, transformation etc. Identified, documented, and resolved data quality issues related to business data Worked closed with business analysts, applications development, and subject matter experts to translate business objectives into particular data quality business rules/requirements Validated that data systems meet design specifications and requirements using SQL querying Identified data quality scope from system specifications and ensured the right coverage when it comes to validating the data against such specifications Determined data quality improvement recommendations as well as process improvement recommendations for the source systems Collaborated directly with the business data owners and business analysts to establish the quality business rules that will provide the foundation of the organization’s data quality improvement plan Utilized data profiling to uncover data issuers and performed rules based assessment of data Teamed up with the business owners to implement root cause analysis process for issues discovered during data quality assessment. Collaborated with the Data Warehouse team to develop data quality scripts to apply to the ETL process based on the business rules defined by business data owners Gathered metadata/documentation from source systems Articulated the need and benefits of data quality to both IT and the business Familiar with the use of meta-data management, data quality dimension and rules, data catalogs, data quality and data stewardship tools and platform Ensured remediation plan are implemented where data fails to meet established data quality standards Worked with the Data Governance organization to ensure the implementation of data governance standards when collecting data quality rules
Education
New Jersey Institute of Technology
Bachelor's degree, Electrical and Electronics Engineering
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