Overview: Our client seeks a dynamic Data Analytics Engineer to join their High-Performance Analytics team. This role will leverage your passion for data and using tech to uncover business insights, driving performance improvements across strategic enterprise level initiatives. Key Responsibilities: As a Data Analytics Engineer, you will delve into diverse data sources to identify opportunities for improvement. You'll continuously track key performance indicators and regularly assess them with stakeholders to ensure alignment and drive enhancements. Leading broader Analytics functions across the business, as well as providing data-driven recommendations and strategic initiatives. Building strong advisory relationships, you will influence leadership to enhance performance and customer satisfaction. You'll also innovate the delivery and efficiency of reports using current technologies and exploring new possibilities. Collaborating closely with business and technical teams, you'll optimise resource use and integrate new technologies to meet future needs. Acting as a subject matter expert for frequently used data sets, you will provide timely and insightful data-driven recommendations. Promoting a high-performance culture, you will set and maintain standards of excellence within the team. Qualifications: Relevant qualifications in Data, Finance, Engineering, Science, or Management. Proven ability to analyse complex data sets and communicate insights effectively. Proficiency in SAS, SQL, and Databricks Strong relationship-building skills and ability to act as a trusted advisor. Customer-focused with high standards for quality and productivity. Benefits: Yearly bonus Hybrid WFH Prime CBD location Modern Refurbished Offices Health Insurance Job Ref Number: 06810-0012964532 - DK By clicking 'apply', you give your express consent that Robert Half may use your personal information to process your job application and to contact you from time to time for future employment opportunities. For further information on how Robert Half processes your personal information and how to access and correct your information, please read the Robert Half privacy notice: https://www.roberthalf.com/au/en/privacy. Please do not submit any sensitive personal data to us in your resume (such as government ID numbers, ethnicity, gender, religion, marital status or trade union membership) as we do not collect your sensitive personal data at this time.