Data Analyst

Worldline

ANZ Worldline Payment Solutions, a collaboration between ANZ Banking Group and Worldline, launched in Australia in 2022 to provide in-store and ecommerce payment solutions. Though a fintech at its core with the support of a major bank, Worldline values diverse insights and the energy of its team members.

In this role you can expect to have the responsibilities:

• Establish trusted relationships with key stakeholders across the organization.
• Serve as single point of contact (SPoC) for one or more business functions.
• Understand payments industry and ANZ Worldline's business systems and products.
• Work closely with Delivery Manager and Head of ABI to meet stakeholder requirements.
• Analyze data to derive business insights.
• Develop dashboards, reports, and visualizations to communicate findings.
• Create predictive models for data-driven decisions.
• Design and build data pipelines in alignment with Data Governance and DataOps principles.
• Support the infrastructure for data storage, processing, and retrieval.
• Assist in developing and maintaining data APIs, ETL processes, and integration systems.
• Design and maintain data models.
• Participate in Quality Assurance processes and peer reviews.
• Provide guidance on best practices and act as a Subject Matter Expert.
• Stay updated on industry best practices in data engineering, data science, and data analysis.

This role comes with the following benefits:

• Health and wellbeing discounts on gym, nutrition, and sporting gear.
• Learning and development opportunities.
• Additional leave options for families, community work, or career breaks.
• Monthly social events, both in-person and virtual.
• Volunteering leave for CSR activities.
• Other perks such as novated leasing options.
• Modern office facilities including a parent’s room, prayer room, and end-of-trip facilities.
• Employee Assistance Program services including financial counselling.

This role requires you to have:

• Bachelor's Degree in Business Analytics, Computer Science, Statistics, Mathematics or similar.
• Database or cloud accreditations like Databricks, Azure, DevOps, Power BI.
• 7+ years of experience in a payments or technology-driven organization.
• 7+ years in developing datalake, data warehousing, lakehouse, and business intelligence solutions.
• Experience with DataOps, Agile or DevOps delivery, and quality practices.
• Excellent statistical analysis, data visualization, and machine learning skills.
• Proficiency in database, ETL, and data warehousing.
• Advanced programming skills in Python, SQL, and Power BI DAX.

ANZ Worldline Payment Solutions values a collaborative and innovative culture, looking for individuals with problem-solving skills and a passion for learning and growth. The company offers a supportive and empowering environment for career advancement.