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Data Analyst

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Summary

A 6-month contract Data Quality Analyst role in Sydney on a client's data transformation program. Day to day involves profiling large datasets, translating business rules into T-SQL validation checks, and writing and testing remediation scripts in Microsoft SQL Server.

Data Quality Analyst – SQL / T-SQL

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.
These requirements come directly from the essential criteria in the position description.

Apply now or email shauna.oreilly@talentweb.com.au

If you fit the experience, please call on 0458788626

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