Job Summary
This is a unique role that combines the responsibilities of a Data Analyst and a Data Engineer.
About the Role
* Design, develop, and maintain scalable data pipelines and ETL processes to support data integration and analytics needs
* Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver actionable insights
* Create and maintain Power BI dashboards, reports, and visualisations to communicate data insights effectively to non-technical stakeholders
* Develop and maintain data models, schemas, and documentation to support data governance and data quality initiatives
* Optimise data processing workflows for performance, scalability, and cost-efficiency
* Ensure compliance with data privacy regulations and maintain data security standards
* Provide technical support and troubleshooting for data-related issues and queries
Responsibilities
The Analytics Engineer will be extremely creative and have a strong understanding of the end-to-end data process. This includes acquiring data from source systems, transforming data to meet business needs, and visualising and analysing data to provide insights that enhance business operations.
Requirements
* Experience with Azure tech stack (Azure Data Factory, Azure SQL, Azure Functions, Power Automate, and Logic Apps, Cosmos DB)
* Experience with Power BI, GIT and Python
* Demonstrate clear commercial outcomes of the work and projects you've delivered
* Bachelor's degree in Computer Science, Data Science, Information Technology, or a related field; advanced degree preferred
* Relevant certifications (e.g., Microsoft Certified: Azure Data Engineer, AWS Certified Big Data) are a plus
* Aptitude for understanding business objectives and processes and translating them into business and technical analysis of relevant data
* Visualisation experience in sales/e-commerce/online shop – desirable
* Good business acumen, with keen desire to work across the organisation to analyse and improve the business
* Experience with unstructured data and data bases such as COSMOS DB or MarkLogic is a plus
* Demonstrated experience in building efficient scalable ETL/ELT pipelines from different sources including APIs, databases (e.g., Big Query), or unstructured sources (e.g. blob storage)
* Good understanding of data repository systems (business intelligence infrastructures)
* Hands-on demonstrated experience in automating data pipelines and their deployment through CI/CD is advantageous
* Demonstrated experience in investigating, recommending and integrating/deploying third party solutions, including Vendor/Partner collaboration in areas including Data Governance, Reporting Tools, Data Lakes, distributed Compute and Visualisation
Culture & Benefits
We are proud to have been awarded the prestigious Employer of Choice Award for two consecutive years. This recognition highlights our commitment to creating an exceptional workplace and fostering a culture of excellence.
We proudly run a Women in Technology program, acknowledging the importance of diversity in perspectives and thinking, and working to embed an inclusive and supportive environment for all.
We offer many benefits, including flexibility with working from home, regular team events, additional personal/carer's leave, continuous learning and career development opportunities.Our award-winning People Perks program includes:
* Nine-day fortnight – enjoy every second Friday off
* Growing Family & Parental leave benefits – 16 weeks paid leave for primary carers, plus Superannuation contributions made on unpaid leave; 4 weeks paid leave for secondary carers
* Workiversary rewards – your commitment and loyalty won't go unrecognised
* Global working – do you have working rights in another country? Enjoy a few weeks of international working every year
* Early access to long service leave – why wait 10 years for long service leave? 5 years sounds a lot better
If this opportunity excites you, please submit your CV outlining your experience and suitability to this role. Eligible applicants must be Australian Citizens, Permanent Residents or have legal rights to work in Australia. Shortlisted applicants will be contacted within 15 business days of their application.