Data Quality Analyst — SQL & Remediation (6-Month)

Talent Web Recruitment; Sydney; On-site; AUD 80,000 - 120,000; Part time

Job summary

Talent Web Recruitment partners with a Sydney-based organisation on a 6-month data transformation program, seeking a mid-level Data Quality Analyst to identify, investigate and remediate data quality issues across a large data environment.

You will work hands-on with SQL Server and T-SQL, profiling data, translating business rules into data quality checks, developing remediation scripts and validating results.

Qualifications

• Strong hands-on Microsoft SQL Server and T-SQL experience.
• Practical Data Quality experience, not just 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.

Responsibilities

• 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 clear documentation of DQ rules, assessment logic and remediation activities.

Skills

Microsoft SQL Server

T-SQL

Data Quality

Data profiling

Root-cause analysis

Documentation

Tools

SQL Server

T-SQL

Job description

Talent Web Recruitment partners with a Sydney-based organisation on a 6-month data transformation program, seeking a mid-level Data Quality Analyst to identify, investigate and remediate data quality issues across a large data environment.

You will work hands-on with SQL Server and T-SQL, profiling data, translating business rules into data quality checks, developing remediation scripts and validating results.