Data Analyst (6-month Contract)

ANZ Worldline Payment Solutions; Melbourne; On-site; AUD 90,000 - 130,000; Full time

Job summary

ANZ Worldline Payment Solutions in Australia is seeking a Data Analyst to support the business with accurate data, insightful reports and clear analysis.

You will write SQL queries, build dashboards, develop data pipelines, and respond to stakeholder requests, collaborating across teams to enable data-driven decision making.

Qualifications

• Tertiary qualification in Statistics, Mathematics, Economics, Computer Science or a related quantitative field.
• 5+ years' experience in Data Analyst or similar analytical role.
• Strong proficiency in SQL for querying data.
• Experience with large datasets using SQL and Python.
• Experience with BI tools such as Tableau or Power BI (including DAX).
• Strong communication and stakeholder engagement skills.
• Experience with modern data platforms (Databricks, Fabric, Azure).

Responsibilities

• Extract, clean and analyse data from various sources using SQL.
• Develop data pipelines and transformation engines with SQL/Python.
• Respond to ad-hoc requests from stakeholders across the business.
• Build and maintain dashboards and reports with BI tools.
• Assist in the development of more complex dashboards.
• Validate data for accuracy and document data sources and logic.

Skills

SQL proficiency

Python analytics

Data visualization

Stakeholder communication

Dashboards (Tableau/Power BI)

Data pipelines

Problem solving

Education

Quantitative field degree (Statistics/Mathematics/Economics/CS)

Tools

Databricks

Microsoft Fabric

Azure data services

Job description

Welcome to ANZ Worldline Payment Solutions. We're an Australian payments business, wholly owned by ANZ.

In Australia, card and electronic payments are the most widely used way to pay amongst consumers. That's why delivering secure, reliable and modern payments technology is so important in helping our customers succeed in the digital economy.

Our products include in-store, eCommerce and mobile payment products which we deliver to businesses right across Australia - from the smallest micro-businesses to Australia's largest organisations.

ANZ Worldline was established in 2022 as a joint venture between ANZ and Worldline, with ANZ acquiring Worldline SA's shares in 2026 to take full ownership.

The role

As a Data Analyst, you'll support the business by providing accurate data, insightful reports and clear analysis.

Reporting to the Head of ABI, you will work on a variety of analytical tasks, from writing SQL queries to building dashboards and responding to data requests from stakeholders.

Your work will form the foundation of our data-driven culture, helping teams across the organisation access and understand the information they need to succeed.

What you'll do

Data Analysis & Querying

• Extract, clean and analyse data from various sources, using SQL to answer defined business questions
• Developing data pipelines and data transformation engines using SQL/Python.
• Respond to ad-hoc requests from stakeholders across the business.
• Build and maintain operational dashboards and reports using our BI tools
• Assist senior analysts in the development of more complex analytical dashboards

Data Integrity & Team Support

• Assist in the validation and testing of data to ensure its accuracy and integrity before use in reporting
• Document data sources, metrics, data transformation logic and report logic to ensure clarity and consistency for all users.

What you'll bring

• Tertiary qualification in Statistics, Mathematics, Economics, Computer Science or a related quantitative or technical field
• 5+ years' experience in Data Analyst, Business Analyst or similar analytical role
• Strong proficiency in SQL for querying and extracting data
• Strong analytics capabilities, including hands-on experience working with large datasets with SQL and Python
• Experience using a data visualisation or BI tool such as Tableau or Power BI (including DAX)
• Strong Communication Skills to explain complex analysis through writing, visuals and presentations
• Strong problem-solving skills and the ability t work with different stakeholders
• Experience working with modern data and analytics platforms, including technologies such as Microsoft Fabric, Databricks, Azura data services, or equivalent cloud-based analytics environments.

Put customers first:

By providing better outcomes for customers everyday

Deliver with excellence:

By setting high standards and delivering on commitments

Own the outcome:

By taking accountability and doing what is right

Work as one:

By bringing the best of ANZ together to succeed