Why This Role Stands Out
This on-site hybrid role offers a fantastic opportunity to drive significant impact within a leading retail organization by tackling critical data remediation challenges that underpin major digital transformations. You'll thrive here if you possess strong data quality and Master Data Management expertise, coupled with advanced SQL skills and a knack for root-cause analysis, allowing you to shape the future of data integrity. Apply now to leverage your skills and contribute to a high-priority initiative with a competitive day rate.
Quick Overview
Job Description
Day rate contract
Initial 3 Months
Sydney Hybrid - 2 Days Onsite
The OpportunityWe're partnering with a retail organisation on a high-priority data remediation initiative supporting several major digital and operational transformation programs.
The organisation is investing heavily in AI-enabled forecasting and operational optimisation, but legacy data quality issues across its store technology ecosystem need to be addressed before the broader program can progress.
We're looking for a senior, hands-on Data Consultant who can come in, diagnose the current data landscape, identify root causes and establish a prioritised roadmap for remediation.
This is not purely a technical SQL role. You'll need to understand master data, retail operations and how data moves across interconnected systems
Responsibilities- Lead a detailed assessment of data quality issues across legacy retail and operational systems.
- Perform data profiling, mapping and analysis to identify outdated, inconsistent or inaccurate records.
- Conduct root-cause analysis, identifying not just where data issues exist but why they are occurring.
- Produce a detailed diagnosis report and establish a prioritised remediation backlog.
- Trace data end-to-end across multiple upstream and downstream systems.
- Work hands-on within systems, including running test transactions and validating how data is created, transformed and consumed.
- Analyse complex Master Data structures, including product, recipe, inventory and operational data.
- Strong experience in data remediation, data quality and Master Data Management.
- Advanced SQL skills, including complex joins and analysis across multiple tables and datasets.
- Experience investigating and resolving data quality issues across interconnected systems.
- Strong understanding of data profiling, mapping, validation and root-cause analysis.
- Experience within retail, FMCG, convenience, fuel or another high-volume multi-site environment.
- Understanding of how product, inventory and operational data flows through a retail technology ecosystem.
- A genuinely hands-on approach - you'll be comfortable getting into systems, interrogating data and tracing issues rather than simply managing the work.
- Strong stakeholder management skills across both technical and business teams.
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