Data Engineer & Analyst: Loyalty Insights & Pipelines

Finance, Procurement, Legal, Privacy, Property; City of Brisbane; On-site; AUD 120,000 - 160,000; Full time

Benefits offered by this job

LinkedIn Learning access

Staff discounts

Travel discounts

Career development opportunities

Mental health support

Job summary

World360 Rewards in Brisbane's South Bank is seeking a Data Analyst and Engineer to build pipelines, unlock insights, and influence decisions. You will maintain data infrastructure, ensure quality, and provide timely reporting across loyalty programs.

You will collaborate with data, tech, and business teams, working on ETL, data lakehouse environments, and KPI reporting to drive data-driven initiatives and measurable outcomes.

Qualifications

• 4+ years delivering analytics solutions, ideally within retail or customer-facing environments.
• Bachelor's degree in Computer Science, Software Engineering, or a related field.
• Proficient in SQL, descriptive analytics, reporting, and Power BI.
• Experience with modern data infrastructure and ETL solutions.
• Experience measuring loyalty program performance.

Responsibilities

• Troubleshoot data issues and implement solutions to maintain operations.
• Ensure data accuracy, quality, and governance compliance.
• Develop data models to support analytics and business needs.
• Design and maintain data pipelines from multiple sources to data lakes.
• Collaborate with tech and business teams to enable data-driven decisions.

Skills

SQL

Data modelling

Stakeholder engagement

Descriptive analytics

Education

Bachelor's degree in Computer Science or related field

Tools

Power BI

Azure DevOps

Databricks

Azure Data Factory

Job description

World360 Rewards in Brisbane's South Bank is seeking a Data Analyst and Engineer to build pipelines, unlock insights, and influence decisions. You will maintain data infrastructure, ensure quality, and provide timely reporting across loyalty programs.

You will collaborate with data, tech, and business teams, working on ETL, data lakehouse environments, and KPI reporting to drive data-driven initiatives and measurable outcomes.