Data Analyst (6-month contract)
Worldline is hiring a Data Analyst (6-month contract) in Melbourne, Australia. Level rates it ; you can apply on Worldline.
Level's read on this job
- On Level's scale, this data analyst role is Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include Databricks, SQL and Python.
- Level classifies it as a mid-level role.
- Level lists 270 other open roles at Worldline.
- The role was posted in the last few days.
AI in this role
Data Analyst responsible for extracting, cleaning, and analysing data to build operational dashboards and support business stakeholders.
Who we are
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.
Reporting & Dashboarding
- 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.
As our organisation grows and changes, our culture is evolving. Our values define how we work together, make decisions and manage risk.
- 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
We’d love you to consider a career with ANZ Worldline and you can learn more about us and our opportunities at anzworldline.com.au
- #LI-MP1
How we rate this
Data Analyst (6-month contract) at Worldline rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data analyst jobs at this level
Pay
- Typical data analyst job
- $105k
This posting doesn't list pay. Use the typical data analyst figure when pay comes up. See data analyst jobs
Questions you could be asked
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where sql was part of your work. What did you do?
- Tell me about a project where python was part of your work. What did you do?
- Tell me about a project where dashboarding was part of your work. What did you do?
- Tell me about a project where data pipelines was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Data Analysis, SQL, Python, Dashboarding, and Data Pipelines. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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