Data Quality Analyst: SQL, Redshift & Power BI Governance

Fujitsu; City of Melbourne; On-site; AUD 90,000 - 120,000; Full time

Job summary

Fujitsu Australia is seeking an experienced Data Quality Analyst to support governance and validation across critical data elements. You will work with Data Owners, BAs and technical teams to validate data quality rules and investigate issues using SQL, Redshift and Power BI.

The role emphasizes building robust data quality rules, RCA, and governance alignment, with a focus on Customer Outreach datasets and regulated enterprise context.

Qualifications

• Strong experience in Data Quality / Data Analysis roles within an enterprise environment.
• Strong hands-on SQL skills, including complex queries and data validation/investigation.
• Experience working with Amazon Redshift.
• Understanding of Data Quality concepts: accuracy, completeness, timeliness.
• Experience defining Data Quality rules and validation checks.
• Experience performing Root Cause Analysis (RCA) on data issues.
• Experience with Critical Data Elements (CDEs).
• Knowledge of Data Governance principles and practices.
• Experience documenting data quality rules, findings and remediation using Confluence.
• Strong stakeholder management with Data Owners, BAs and technical teams.
• Experience in regulated or highly governed enterprise environments.
• Experience with Customer Data or Customer Outreach datasets.
• Knowledge of data profiling and data lineage.
• Experience with data governance frameworks and data stewardship.
• Experience with cloud-based data platforms and modern data architectures.

Responsibilities

• Verify Critical Data Elements (CDEs) data quality, completeness, consistency and compliance with business rules.
• Define and implement new data quality rules and validation checks based on requirements.
• Investigate failed data quality records by developing and analysing SQL queries across source and target systems.
• Document data quality findings, rules, root causes and remediation actions in Confluence.
• Collaborate with Data Owners, Business Analysts and stakeholders to validate DQ rules and thresholds.
• Conduct RCA for data quality issues and coordinate remediation activities.
• Develop and maintain SQL solutions in Amazon Redshift for CDEs.
• Enhance SQL logic in response to new findings and evolving requirements.
• Prepare and share data extracts and validation outputs to support decision-making.
• Design, develop and maintain Power BI dashboards to monitor DQ metrics and progress.
• Support data governance initiatives by promoting best practices.

Skills

Data Quality

SQL

Amazon Redshift

Power BI

Data Governance

Root Cause Analysis

Confluence

Stakeholder Management

CDEs

Data Profiling

Cloud Data Platforms

Tools

Confluence

Amazon Redshift

Power BI

Job description

Fujitsu Australia is seeking an experienced Data Quality Analyst to support governance and validation across critical data elements. You will work with Data Owners, BAs and technical teams to validate data quality rules and investigate issues using SQL, Redshift and Power BI.

The role emphasizes building robust data quality rules, RCA, and governance alignment, with a focus on Customer Outreach datasets and regulated enterprise context.