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Date Posted

Senior Data Quality Analyst

Bank South Pacific Port Moresby, National Capital District, Papua New Guinea
6 years - 10 years
ICT/Computers/Internet
Negotiable
Thu Mar 13, 2025
Full-time
Thu Mar 06, 2025
Job Summary
About the Role
Are you a data enthusiast with a knack for quality and precision? We are seeking a dynamic Senior Data Quality Analyst to lead the charge in embedding robust data quality practices across our Retail Strategic Business Unit (SBU). This is your opportunity to influence key business decisions through the delivery of high-quality, reliable, and accurate data. Join us to help transform how we manage and use data to drive operational excellence and innovation.

Qualifications, Skills and Experience
Education: Bachelor’s degree in Computer Science, Management Information Systems (MIS), or a related field. Advanced certifications in data quality or governance (e.g., CDP, CDA) are highly
Experience: Minimum of 5 years in data management, business intelligence, or analytics, with proven expertise in SQL and data analysis.
Technical Skills: Familiarity with data governance frameworks (e.g., DAMA,DCAM), data wrangling, and tools like Collibra or
Soft Skills: Exceptional communication and collaboration skills, with the ability to explain technical concepts to non-technical
Job Description
Key Tasks and Responsibilities


  • Policy Development and Implementation: Develop and enforce comprehensive data quality policies and standards aligned with BSP’s data governance framework. Ensure consistent application across the enterprise to safeguard data integrity and reliability.

  • Data Quality Metrics: Design, implement, and maintain data quality health scores and metrics, ensuring timely detection and resolution of data issues.

  • Data Tool Management: Serve as the business owner for data quality tools, optimizing their use to automate and streamline data validation processes.

  • Collaborative Problem-Solving: Conduct root cause, analyses and engage with cross-functional teams to address data quality challenges effectively.

  • Awareness and Change Management: Lead enterprise-wide initiatives to raise awareness and embed a culture of data excellence through training and change management strategies.

Keyskills
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