6-Month SQL Data Quality Analyst: Remediation & Profiling

Talent Web Recruitment; Sydney; On-site; AUD 70,000 - 110,000; Full time

Job summary

Talent Web Recruitment in Sydney is seeking a mid-level Data Quality Analyst to join a technology-driven data transformation program. The role focuses on hands-on data quality across a large environment, using SQL Server and T-SQL to profile data and implement remediation scripts.

You will translate business rules into data quality checks, perform root-cause analysis, and collaborate with business and technical SMEs to ensure data integrity and robust documentation throughout the lifecycle.

Qualifications

• Strong hands-on Microsoft SQL Server and T-SQL experience.
• Practical Data Quality experience beyond reporting or governance.
• Experience with data profiling, root-cause analysis and remediation.
• Understanding of Data Quality dimensions and methodologies.
• Experience with large datasets and optimized SQL queries.
• Knowledge of data governance, DQ metrics/scorecards, issue-management.
• Strong documentation and stakeholder communication skills.

Responsibilities

• Profile large datasets and identify data quality issues across multiple dimensions.
• Translate business rules into testable data quality rules and T-SQL queries.
• Investigate anomalies and perform root-cause analysis.
• Write, test and execute SQL/T-SQL remediation scripts.
• Validate data post-remediation to ensure issues are resolved.
• Produce Data Quality metrics, scorecards and reporting.
• Collaborate with business and technical SMEs on data issue treatment.
• Maintain documentation of DQ rules and remediation activities.

Skills

SQL / T-SQL

Data profiling

Root cause analysis

Stakeholder communication

Education

Bachelor's degree in a relevant field

Tools

SQL Server

T-SQL

Job description

Talent Web Recruitment in Sydney is seeking a mid-level Data Quality Analyst to join a technology-driven data transformation program. The role focuses on hands-on data quality across a large environment, using SQL Server and T-SQL to profile data and implement remediation scripts.

You will translate business rules into data quality checks, perform root-cause analysis, and collaborate with business and technical SMEs to ensure data integrity and robust documentation throughout the lifecycle.