Data Analyst

The Role:

We're seeking a skilled and curious Data Analyst to join our team and help drive data-led decision-making across the business. You'll work closely with Finance stakeholders to explore complex datasets, build reports, uncover actionable insights, and deliver high-impact analytics solutions that improve business performance and drive financial outcomes.

Main Duties & Responsibilities:

• Perform exploratory analysis of complex datasets to identify trends, patterns, and opportunities for improvement.
• Collaborate with stakeholders to understand business challenges and translate them into data-driven solutions including quantification of financial benefits.
• Collect, clean, and model data from multiple sources to support strategic decision-making.
• Design, build and deliver interactive dashboards and visualisations using Power BI and other tools.
• Monitor and optimise the performance of productionised datasets and analytics models.
• Create and maintain comprehensive documentation of data models, transformation logic, dataset architecture, and report design to ensure transparency, reproducibility, and effective knowledge sharing.
• Address ad-hoc data requests and incidents with high-quality, complete and timely solutions.
• Leverage DBT (Data Build Tool) to design and implement robust data models to transform raw data into structured, analysis-ready datasets that support accurate reporting and decision-making.
• Collaborate effectively within a team of data analysts to share knowledge, align on best practices, follow processes and deliver cohesive, high-quality analytical outputs that support business objectives.

Skills and Experience:

The successful candidate will be able to demonstrate the following skills and experience:

• Tertiary qualifications in Data Science, Statistics, Computer Science, or a related discipline.
• Minimum 2 years' experience in data analysis or a related field.
• Proficiency in SQL for data manipulation, querying, and modelling.
• Proficiency in data visualisation tools such as Power BI.
• Experience with cloud-based solutions such as Snowflake.
• Strong analytical and problem-solving skills.
• Ability to manage multiple priorities and deliver high-quality work in a fast-paced environment.
• Ability to communicate insights clearly to technical and non-technical audiences.

Desirable:

• Experience working with financial datasets, enabling accurate interpretation and analysis of financial data.
• Experience with programming languages such as R and Python.
• Familiarity with structured and semi-structured data formats (e.g., JSON, XML).
• Experience with statistical analysis and/or machine learning techniques.

About AFG:

Australian Finance Group (ASX:AFG) is one of Australia's largest mortgage broking groups, founded back in 1994 and now employing 300+ staff across Australia. As a category leader, AFG has some 4,000 finance brokers in its network with access to over 10,000 financial products from more than 80 of Australia's leading lenders.

Through our broker network, AFG processes around one in 10 of all Australian residential mortgages and manages over $214 billion in residential and commercial finance.

In addition to our broker network, AFG has a rapidly growing home loan business, and an expanding footprint in the provision of business lending solutions.

At AFG our purpose is to create a fairer financial future for all. Our business prides itself its innovative, entrepreneurial and collaborative culture, which is underpinned by our values of integrity, accountability, customer-centric and team player (IACT). Our teams are intricately engaged across the business, and we encourage people with ideas and a willingness to learn to join us.

AFG is committed to our culture. We provide an inclusive workplace where all are welcomed and recognised for their unique ability, regardless of gender, race, religion, disability, orientation, or other identity attribute.