Data AnalystNew

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

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 clear 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.

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.