Senior Analytics Engineer - 12 month contract at Guzman y Gomez

Surry Hills, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

27 May, 26

Salary

0.0

Posted On

26 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Data Modelling, Microsoft Fabric, Power BI, Semantic Modelling, Python, Data Engineering, Analytical Thinking, Stakeholder Collaboration, Data Governance, Performance Optimisation, Business Logic, Data Transformation, Rostering Optimisation

Industry

Food and Beverage Services

Description

Company Description At Guzman y Gomez Mexican Kitchen, our mission has always been to reinvent fast-food. We’re Australia’s only fast-food restaurant to be 100% clean, meaning there are no added preservatives, artificial flavours, added colours or unacceptable additives in our food. We’re incredibly proud of our amazing people, and the unique way we celebrate Mexican culture in everything we do. Job Description About the role: As a Senior Analytics Engineer, you’ll design, build and maintain the analytics and business-logic layer that sits on top of our enterprise data platform (Microsoft Fabric). You’ll transform trusted source data into reusable, governed analytical models that enable accurate reporting, self-service analytics, and advanced decision-making across the business. Working closely with Data & Analytics, IT Data Engineering, and stakeholders across Commercial Finance and Operations, you’ll translate complex business rules into scalable, high-performance analytical solutions. This is a hands-on role that combines deep SQL modelling capability, analytical thinking, and strong stakeholder collaboration. What You’ll Be Doing: Analytics Engineering & Data Modelling Design, build and maintain analytics-layer data models on top of centrally managed databases and pipelines Develop and own reusable business logic and analytical transformations Build and maintain semantic models within Microsoft Fabric to power Power BI dashboards and self-service reporting Optimise models for performance, scalability, and usability Partner with BI Analysts to ensure models support insight and reporting requirements Advanced Analytics & Optimisation Design and implement analytical logic for use cases such as rostering optimisation and scenario modelling Apply Python where appropriate to support automation, optimisation and advanced analysis Translate complex business needs into clear, explainable analytical solutions Collaboration & Data Strategy Work closely with IT Data Engineering to leverage and extend core data assets Partner with stakeholders across Commercial Finance and the broader business to deliver fit-for-purpose solutions Contribute to evolving analytics standards, modelling best practices, and team ways of working Data Quality, Governance & Enablement Ensure models align with governance, documentation and quality standards Reduce duplication by centralising logic within governed analytical layers Mentor and support capability uplift across the Data & Analytics team What We’re Looking For: Bachelor’s degree in Data, IT, Computer/Data Science, Engineering, or related field 5+ years’ experience in analytics engineering, data analytics, or similar Advanced SQL-based data modelling expertise Strong experience with Power BI, including semantic modelling and performance optimisation Experience building complex analytical logic beyond standard reporting Working knowledge of Python for analytical or optimisation tasks Strong problem-solving and stakeholder communication skills Benefits We’re incredibly proud of our amazing people and always have each other’s backs. Whether you’re working in restaurant, at our Hola Central head office or as one of our partners, we are so passionate about living our values every single day. These are just some of the benefits that come with working at GYG: Career growth – Australia and internationally Opportunity to become a franchisee Annual bonus scheme Paid parental leave GYG gift voucher Ready to join the family? Apply now to start the conversation

Responsibilities

The Senior Analytics Engineer will design, build, and maintain the analytics and business-logic layer on the Microsoft Fabric enterprise data platform, transforming source data into governed analytical models for reporting and decision-making. This involves developing reusable business logic, optimizing models for performance, and applying advanced analytics techniques like scenario modeling.