Data Consultant - Data Remediation And Master Data

Hydrogen Group; Sydney; Hybrid; AUD 166,000 - 221,000; Part time

Job summary

Hydrogen Group in Sydney seeks a senior Data Consultant to lead a data remediation and Master Data Management initiative within a high‑volume retail environment. You will diagnose legacy data quality issues, profile data, map datasets and trace data end‑to‑end across multiple systems, delivering a prioritized remediation backlog.

This is a day‑rate contract for an initial 3 months, with hybrid working requiring 2 days onsite in Sydney, and a hands‑on approach combining data analysis, root‑cause

Qualifications

• Experience in data remediation and data quality improvement in complex environments.
• Strong SQL abilities including multi-table joins and data analysis.
• Experience profiling, mapping and validating data quality across systems.
• Knowledge of Master Data Management concepts and retail data flows.
• Hands-on data troubleshooting in high-volume settings.

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• Perform data profiling, mapping and analysis to identify outdated, inconsistent or inaccurate records.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 to identify why data issues occur and how to fix them.
• Produce a detailed diagnosis report and establish a prioritized remediation backlog.
• Trace data end-to-end across multiple upstream and downstream systems.
• Work hands-on within systems, running test transactions and validating data transformations.
• Analyze complex Master Data structures including product, recipe, inventory and operational data.

Skills

Data remediation

Data quality

Master Data Mgmt

SQL expertise

Data profiling

Root-cause analysis

Retail domain

Stakeholder mgmt

Data lineage tracing

Job description

Data Consultant - Data Remediation and Master Data Hydrogen Group•Sydney, NSW, AU

Day rate contract

Initial 3 Months

Sydney | Hybrid – 2 Days Onsite

The Opportunity

• We’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.

Skillset

• 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.