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Senior Analytics Engineer - 12 month contract
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#710504
Full Time
Job 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
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
