The Data Quality Analyst is accountable for the design and operational execution of the Data Quality framework, as well as well as coordination across all technical and business resources throughout the test. Responsibilities include creation and maintenance of quality assurance testing deliverables and assisting in delivery activities.
GENERAL RESPONSIBILITIES
- Analysing Business requirement for completeness and accuracy
- Analysing Business requirements against the technical specifications (data modelling)
- Creating high level test scenarios
- Creating manual test cases
- Developing validation scripts for automated execution, while creating actionable data quality reports that measure trends over time.
- Developing yaml code to create DevOps pipelines and maintain them
- Analysing test outputs and reporting defects
- Working closely with Business Analysts, Data Analysts/Scientists, Development, and Product Owners to ensure data housed in multiple source systems is valid and accurate.
- Participating in defect triage and sprint ceremonies
- Candidate will be involved in both automated and manual ETL testing across multiple scrum teams, although most of the testing will be automated
- Participation in architecting the logical design of data quality practices with the technical team, including DQ design and specifications, data modelling, and documentation of logical processing flows.
- Agile testing.
- Developing documents and implementing data quality standards.
- Regularly reviewing and interpreting QA results and findings with limited support from senior leadership.
Technical Skills
- Azure Data bricks
- Azure ADF
- Azure DevOps
- SQL
- DAX
- Javascript/Typescript
- Python/Pyspark
- YAML
- Powershell