Data Analyst (Reporting, Analytics & Automation)

Overview

Shift is seeking a Data Analyst to develop reporting, analytics and automation capabilities that support business decision-making.

What you'll do

• Develop and maintain dashboards, reports, and KPI scorecards to support business decision-making.
• Analyse operational and business data to identify trends, risks, and improvement opportunities.
• Write and optimise SQL queries to extract, transform, and validate data.
• Deliver actionable insights and recommendations to stakeholders across the business.
• Partner with business teams to understand reporting and analytics requirements.
• Design and implement scalable reporting solutions that improve efficiency and usability.
• 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.
• Ensure data accuracy, quality, and consistency across reporting and analytical outputs.
• Contribute to analytics, automation, and AI-driven initiatives that enhance business performance.
• Maintain documentation, reporting standards, and data governance best practices.

What you'll need

• 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.

Nice to have

• 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.

Details

• Hybrid working; headquartered in North Sydney with state-based workplaces and a flexible work policy.