Looking for a Data Quality Analyst responsible for a wide range of data management activities with a primary focus of validating and migrating in-scope data from the existing legacy system to this new cloud-based SIS. This assignment could start as early as 01/10/2024 or as late as 30/10/2025 the end of depending on resource availability with possible extension.
Quality Analyst will be responsible for, but not limited to, the following:
Perform Testing, Data Quality Profiling & Data Quality Assessments
- Work with the R3 team to establish business rules, DQ rules, and DQ thresholds
for data being assessed.
- Conduct data testing, profiling and assessment based on customized DQ rules.
- Measure and report on data quality assessment results and ongoing data quality
improvement through the use of DQ scorecards and/or dashboards.
- Identify opportunities to cleanse data prior to data migrations.
- Develop status reports for stakeholders, and liaise with business and technical
leads on data analysis and reporting.
- Support data verification and functional testing of migrated data.
Perform Data Issue Analysis & Remediation
- Work with the R3 team to identify the root cause of data (and migration) issues.
- Identify and prioritize issues and work with the R3 team to resolve them.
Perform Data Mapping & Build Data Transformations
- Review business requirements with Business Analysts and Business Systems
Analysts.
- Review data mappings for completeness and accuracy and work with the R3
team to keep maintain data mappings (and other metadata).
- Work with the R3 team to build and run data transformation routines to
transform and move data from its current state into the vendor staging
database.
Qualification And Experience Requirements
The Data Quality Analyst should have the following experience and qualifications:
- Completed an undergraduate degree in Business Administration, Computer
Science, Management Information Systems, Engineering or in a related field.
- Minimum 3 years in a data analysis role involving reporting/analytics projects,
data warehouse and/or data platforms.
- Demonstrated knowledge of Data Management and Data Governance.
- Ability to elicit data requirements and data quality rules from business use cases.
- Ability to simplify technology/data communications for business consumption.
- Preferred Qualifications:
- Agile principles and the Scrum Framework