Business Data Specialist
The role of a Business Data Specialist is to develop and implement data quality rules that monitor and enhance data integrity. This involves creating logical code rules in SQL to ensure data quality and compliance.
* Develop and implement SQL-based data quality rules to monitor and enhance data integrity.
* Write and optimize logical code rules in SQL to ensure data quality and compliance.
* Identify and document Critical Data Elements (CDEs) and assess data quality across multiple domains.
* Develop and implement data quality monitoring frameworks to ensure data integrity and completeness.
* Assess and mitigate data quality issues related to transaction monitoring, screening, and other critical data domains.
* Collaborate with business teams to ensure adherence to data quality standards and improve data governance.
Requirements for this role include:
* Over 4 years of experience in a similar role, with strong proficiency in SQL for writing data quality rules.
* Demonstrated ability to develop logical rule-based code to assess and enhance data quality.
* Hands-on experience with metadata management and data quality tools/platforms.
* Exposure to transaction monitoring, transaction screening, or other high-impact data domains.
* Familiarity with data governance tools, metadata frameworks, and ETL processes.
* Proven ability to collaborate with cross-functional teams to identify data quality gaps and implement effective solutions.
* Strong analytical and problem-solving skills with a keen attention to detail.
* Experience with data governance and data quality frameworks, including identification and management of Critical Data Elements (CDEs), is a plus.
* Understanding of regulatory data requirements and their implications for data quality.
About the company:
This company is a Microsoft data and AI solution partner. We work closely with Microsoft to create value for our customers. We collaborate with some of the best ASX-listed companies and many medium-sized businesses, delivering transformative data and AI-driven solutions.