Hybrid Data Analyst - Drive Data-Driven Decisions

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 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.