Melbourne | Central Support Office | Contract, potential to go permanent
Our client is a large, multi-site hospitality group operating pubs and venues across Australia. They're investing in a Demand Rostering capability to bring more accuracy and rigour to workforce forecasting, and they need a hands-on Data Analyst to help build and run it.
This isn't a dashboard-maintenance role. You'll sit close to the operational teams, get exposure to Microsoft Fabric on a live project, and have real input into how the reporting and data models evolve as the capability matures.
What you'll be doing
- Supporting the rollout of a Demand Rostering capability across pubs and venues nationally, getting deep into the operational drivers behind workforce demand
- Owning and evolving the Power BI reporting suite: reports, semantic models, measures and business logic
- Investigating discrepancies between forecasts, actuals and workforce requirements, tracing issues back through source data and business rules
- Working inside Microsoft Fabric on data ingestion, transformation and notebook-based workflows
- Building out data quality checks and following anomalies through to resolution with the right internal and external owners
- Translating operational feedback into clear technical and analytical requirements
- Acting as the go-to for data issues, explaining findings clearly to both technical and non-technical stakeholders
- Strong SQL skills and experience with large or complex datasets
- Proven experience building and maintaining Power BI dashboards, semantic models and measures
- Solid understanding of data modelling, ingestion and transformation concepts
- A structured, investigative approach, comfortable tracing issues beyond the report layer
- Strong stakeholder management skills across technical and non-technical audiences
- Tertiary qualification in Data Analytics, Data Science, Computer Science or similar, or equivalent practical experience
- Experience with Microsoft Fabric or a comparable modern data platform
- Fabric notebooks, Python or PySpark exposure
- Experience supporting production data pipelines
- Background in hospitality, retail or other multi-site operational environments
- Exposure to workforce planning, demand forecasting or rostering
