Data Analyst

Angle Auto Finance; Melbourne; Hybrid; AUD 90,000 - 120,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Angle Finance is seeking a Data Analyst to deliver timely, accurate reporting and insights supporting business objectives. You will shape enterprise data strategy, enhance self-service analytics, and help drive data-driven decision making across the organization.

You’ll work with the enterprise data team to optimise data strategy, improve reporting usability, and implement dashboards, automated workflows, and data solutions that boost performance and data quality.

Qualifications

• Experience in a similar role.
• Proven ability to develop reports and extract actionable insights from multiple data sources.
• Strong time management to meet time-critical requirements.
• Solid analytics, reporting, SQL and Power BI capabilities.
• Experience using AI in data reporting or engineering is a plus.
• Bachelor’s degree in business, technology, or mathematics.

Responsibilities

• Engage with stakeholders to gather, document, and validate data and reporting requirements.
• Analyse and optimise data-driven processes and workflows to improve data accessibility, system functionality, and reporting accuracy.
• Design, test, and implement data solutions including dashboards, reports, and automated workflows.
• Collaborate with users and technical teams to improve data platforms and reporting systems.
• Lead data-driven decision making and support a culture of data excellence across the company.

Skills

SQL

Power BI

Data analysis

Reporting

AI in data

Education

Bachelor's degree

Job description

Angle Finance is a leading non-bank asset finance company operating in the rapidly growing intermediary asset finance market. Our signature is Faster, Easier Finance, provided by consistent, predictable and reliable service propositions in everything we do.

Our people make us remarkable. So we’ve built a culture of empowerment, enabling our people to make decisions that drive our speed, our agility, and our ability to see things from different angles.

We offer flexibility, giving our people freedom and tailored support to develop their professional interests beyond their immediate roles, leading to more satisfying careers. We also offer a hybrid working arrangement.

At Angle, different backgrounds, perspectives and life experiences of our people are celebrated. Our aim is to create an inclusive workplace where we foster diversity of thought, and every person feels a sense of belonging.

Our team is growing and we’re hiring a Data Analyst. The role will deliver timely, accurate, and insightful reporting and analysis to support the relevant function.

It also focuses on enhancing self-service capabilities and performing complex analysis, enabling the organization to make informed decisions and achieve its objectives.

You’ll work with the enterprise data team to shape and optimise the enterprise data strategy, to drive data-driven decision making and a culture of data excellence throughout the company.

You will:

• Engage with stakeholders to gather, document, and validate data and reporting requirements, ensuring alignment with business objectives and analytical needs.
• Analyse and optimise data-driven business processes and workflows, identifying inefficiencies and recommending improvements to enhance data accessibility, system functionality, and reporting accuracy.
• Apply project management principlesto scope, plan, and deliver data and analytics initiatives, including resource allocation, timeline management, and stakeholder communication.
• Design, test, and implement data solutions, including dashboards, reports, and automated workflows, ensuring data integrity, usability, and performance.
• Collaborate with users and technical teamsto continuously improve the functionality, performance, and user experience of data platforms and reporting systems.

What you bring:

• Experience in a similar role and looking to develop further.
• Proven ability to develop reports, identify and present actionable insights from various data sources.
• Excellent time management skills with the ability to deliver to time-critical requirements.
• Strong analytical, reporting, SQL, and Power BI skills.
• Experience in using AI in a data role in reporting or engineering.
• Bachelor’s degree with a business, technology, or mathematical focus.
• Demonstrated knowledge of Financial Services / Banking – specifically business lending is a plus.