Data Analyst (Reporting, Analytics & Automation)

Who is Shift?

Shift provides business finance to small, established and corporate sized businesses in Australia, including Business Overdraft, Equipment Line, Asset Finance, Term Loan and Trade Account. Founded in 2014, Shift has funded more than 30,000 Australian businesses.

At Shift, our unique approach to product innovation combined with our collaborative culture means you can build your career in a supportive environment. You'll be joining a diverse team of over 300 people who are always looking to deliver better outcomes for Australian businesses.

Key Responsibilities

1. Develop and maintain dashboards, reports, and KPI scorecards to support business decision-making.
2. Analyse operational and business data to identify trends, risks, and improvement opportunities.
3. Write and optimise SQL queries to extract, transform, and validate data.
4. Deliver actionable insights and recommendations to stakeholders across the business.
5. Partner with business teams to understand reporting and analytics requirements.
6. Design and implement scalable reporting solutions that improve efficiency and usability.
7. Own the automation of recurring reporting and manual data preparation and maintain the certified data models and shared definitions that reporting is built from, so that repeat requests are answered from existing assets rather than rebuilt.
8. Ensure data accuracy, quality, and consistency across reporting and analytical outputs.
9. Contribute to analytics, automation, and AI-driven initiatives that enhance business performance.
10. Maintain documentation, reporting standards, and data governance best practices.

Skills & Experience Essential

• 3 to 5 years of experience in Data Analytics, Reporting, Business Intelligence, or a related field.
• Strong SQL skills with the ability to analyse and manipulate large datasets.
• Experience with Tableau visualisation tool.
• Working experience with Databricks or an equivalent cloud data platform, and a practical understanding of data warehousing concepts.
• Demonstrated experience automating reporting or data preparation using Power Automate, Power Query, Python or equivalent tooling.
• Advanced Microsoft Excel skills.
• Strong analytical, problem-solving, and critical-thinking abilities.
• Excellent communication and stakeholder management skills.
• High attention to detail and commitment to data quality.

Desirable

• Financial Services, Lending, Credit Risk, Operations, or FinTech experience.
• Experience with data governance, definition management or reporting standards.
• Interest in AI-enabled analytics and emerging technologies.

Why Join Us?

• Work on high-impact projects that influence business decisions.

• Gain exposure to modern analytics, automation, and AI initiatives.

• Partner with stakeholders across multiple business functions.

• Be part of a growing Analytics & Automation capability.

• Develop your career in Business Intelligence, Data Analytics, Automation, and Data Architecture.

Key benefits:

• Hybrid working: we're headquartered in North Sydney with state-based workplaces and offer a hybrid work policy. Our offices have spaces for collaboration, socialising and focused work.

• Parental leave: up to 26 weeks paid.

• Strategy Week: twice a year the whole team comes together to hear the business strategy and product and technology roadmap first hand, with fortnightly all-company business updates in between.

• Flat structure: everyone can learn from each other and senior leaders across the business.

• Wellbeing: benefits supporting your physical, psychological and financial wellbeing, from a day off on your birthday to end of trip facilities.