Data Quality Analyst

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

We use technology to make happier lives. We are a global leader in technology and business solutions that transform organizations and the world around us. We have a long heritage of bringing innovation and expertise, continuously working to contribute to the growth of society and our customers

Role Overview

We are seeking an experienced Data Quality Analyst to support data quality, validation and governance activities across critical data elements (CDEs).

The successful candidate will work closely with Data Owners, Business Analysts and technical stakeholders to validate data quality, investigate data issues, develop data quality rules and support remediation activities. The role requires strong SQL, Amazon Redshift and Power BI experience, along with a solid understanding of data governance and quality frameworks.

Key Responsibilities

• Perform Critical Data Elements (CDEs) Data Quality (DQ) verification to ensure data accuracy, completeness, consistency and compliance with defined business rules.
• Identify and define new data quality rules and validation checks based on business requirements, data profiling and emerging data issues.
• Investigate failed data quality records by developing and analysing SQL queries across source and target systems.
• Document data quality findings, business rules, root causes, remediation actions and decisions in Confluence to maintain governance and auditability.
• Collaborate with Data Owners, Business Analysts and key stakeholders to validate DQ rules, thresholds and business conditions.
• Conduct Root Cause Analysis (RCA) for data quality issues and coordinate remediation activities with relevant teams.
• Develop and maintain SQL solutions in Amazon Redshift for Customer Outreach Critical Data Elements (CDEs).
• Enhance and modify SQL logic in response to new findings, working group recommendations and evolving business requirements.
• Prepare and share data extracts, analysis results and validation outputs with Business Analysts and Data Owners to support decision‑making and issue resolution.
• Design, develop and maintain Power BI dashboards and reports to monitor data quality metrics, trends, rule performance and remediation progress.
• Support ongoing data governance initiatives by promoting data quality best practices and ensuring alignment with organisational standards.

Key Skills & Experience

Mandatory

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

Why Fujitsu?

We are an organization with a strong set of values and a history of respecting fairness and equality, whilst promoting diversity, equity, and inclusion. We constantly push ourselves to do better and strive to bring together a diverse mix of perspectives and talents in an inclusive environment, where we encourage our people to bring their full selves to work. We call this Be Completely You.

• We put people first. We believe in the power of diversity to drive innovation and our AWEI (Australian Workplace Equality Index) Platinum Employer status, and Rainbow Tick certification for LGBTI+ inclusion show that we value an inclusive culture.
• We offer tailored career paths across our global organization to support your professional and personal growth.
• Our customers trust us. We have an excellent reputation across the region and globally.
• Best in-class reward and recognition programs flexible work, volunteering leave, and more.
• We live our values of aspiration, trust, and empathy, all day, every day.

Commitment to Diversity, Equity and Inclusion

As an inclusive employer, Fujitsu aims to recruit a diverse range of talents to help us achieve our purpose. In line with our diversity, equity, and inclusion strategy, we highly welcome applications from women and gender‑diverse people; Aboriginal and Torres Strait Islander people; Māori and Pacific people; LGBTI+ people; people with a disability; culturally and linguistically diverse people; veterans, Australian Defence Force (ADF) and emergency responders. Transgender and gender‑diverse applicants can request a copy of our Frequently Asked Questions to assist with the recruitment journey.

If you don't tick every box in this job description, please don't rule yourself out. Research suggests that underrepresented groups tend to only apply if they meet every requirement. We focus on hiring people who value inclusion, collaboration, adaptability, courage, and integrity, rather than ticking boxes so if this resonates with you, then please apply. For more information, please email [e-mail].

For Security Cleared Roles PLEASE NOTE:

Due to the inherent requirements of the role, candidates must be Australian Citizens and hold an Australian Federal Government Security Clearance. The role will or will likely involve access to controlled technology and must satisfy additional restrictions and requirements as a consequence of the International Traffic in Arms Regulations and the Export Administration Regulations. As a consequence of these restrictions and requirements, applicants may be adversely impacted if they are not Australian citizens, are dual nationals, hold citizenship from proscribed countries, or are not of Australian national origin. Please refer to Discrimination (Fujitsu Australia Limited) Exemption 2017 (No 1) Notifiable instrument NI2020-672 (ACT).