Data Quality Analyst

•        Expand and continuously refine the data quality program.

•        Ensures adherence to the data quality programs and standards. 

•        Ensures that the data quality corrective action plan is thoroughly documented.

•        Promote the importance and awareness of an enterprise data quality program.

•        Leverages data management knowledge to define and maintain data quality, reference data, and meta-data processes.

•        Participates in the development of data quality rules, thresholds, and standard/quality expectations for data elements that support critical business processes.

•        Continuously execute and monitor the Data Quality Lifecycle on a daily basis. 

•        Profiles data for statistical analysis and assessment of data to document the effectiveness of data quality controls and identifies improvement opportunities.

•        Identifies and implements best practices and tools based on the business needs.

•        Implement controls to mitigate data quality risks including continuously monitoring data quality results, reports and dashboards. 

•        Impeccable oral and written communication skills are essential for effectively interacting with data users, managers, and other stakeholders.

•        Complies with all applicable agency policies and procedures, including safety and standards of conduct.  

•        Performs other duties as assigned 

Essential Work Behaviors:

•        Communicates respectfully and works harmoniously with all co-workers, customers, and vendors.

•        Provides exceptional customer service.

•        Is flexible; able to work under pressure and; able to adapt to change; and able to work on multiple problems and tasks.

•        Takes initiative to prevent and solve problems.

Qualification Requirements

Education/Special Requirements:

•        Bachelor’s degree in computer science, engineering, statistics, economics, finance, library science, or related business field.

Experience and Training

•        3 years of experience creating functional and technical documentation, business glossaries, and diagrams, that communicates the desired message to business and technical audiences.

•        3 years of experience working with enterprise grade databases - preferably SQL Server and Oracle.

•        3 years of experience developing and writing complex SQL scripts/queries – preferably Oracle and SQL Server.

•        2 years of experience, within the last 5 years, developing data quality rules, thresholds, and standard metrics/quality-expectations for data elements that support critical business processes. 

•        2 years of experience, within the last 5 years, with an enterprise grade data quality tool such as Alteryx Data Quality, SAS Data Quality, etc.

•        2 years of experience, within in the last 5 years, in the Data Quality field developing and implementing best practices and tools based on the business needs.

•        Leads and participates in discussions with cross-functional teams.

Preferred Qualifications

•        3 years of experience working with complex Excel functions, including but not limited to VLookUp, Macros, Pivot Tables, etc.

•        2 years of experience with the Microsoft SQL Server BI Stack (RDMS, SSIS, SSRS)

•        Experience or familiarity with Alteryx & Tableau.

•        Experience or familiarity with Benefits Administration, Pension Administration, and Payroll oriented data in the PeopleSoft HRMS package or similar package