6-Month Contract | Sydney | Data Transformation Program
We're partnering with a well-established Australian organisation currently undertaking a significant technology and data transformation program.
They're looking for a
mid-level Data Quality Analyst
to join the program and take a hands-on role in identifying, investigating and remediating data quality issues across a large and complex data environment.
This is a technical Data Quality role rather than a purely governance-focused position. You'll be working directly with
Microsoft SQL Server and T-SQL
, profiling data, translating business rules into data quality checks and developing remediation scripts to correct identified issues.
What you'll be doing
Profile large datasets and identify data quality issues across
completeness, accuracy, consistency, validity, uniqueness and timeliness
.
Translate business rules into testable data quality rules and
T-SQL validation queries
.
Investigate anomalies and perform root-cause analysis.
Write, test and execute
SQL/T-SQL remediation scripts
to correct data issues.
Validate data following remediation to ensure issues have been resolved without introducing new problems.
Produce Data Quality metrics, scorecards and reporting.




Work with business and technical SMEs to determine appropriate treatment of data issues.
Maintain transparent documentation of DQ rules, assessment logic and remediation activities.
The role covers the full data-quality lifecycle from assessment and profiling through to treatment, remediation and post-treatment validation.
Data Quality Analyst - SQL / T-SQL
Essential experience | To be considered, you must have:
Strong hands-on Microsoft SQL Server and T-SQL experience
, including writing complex queries and scripts.
Practical Data Quality experience
- not simply reporting, analytics or data governance.
Experience with
data profiling, root-cause analysis and data remediation
.
Strong understanding of core Data Quality dimensions and methodologies.
Experience working with
large datasets
and optimising SQL queries for performance.
Understanding of data governance, DQ metrics/scorecards and issue-management processes.
Strong documentation and stakeholder communication skills.
These requirements come directly from the essential criteria in the position description.
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📌 Data Analystjust Posted! (New South Wales)
🏢 Talent Web Recruitment
📍 New South Wales