
Data Solutions Analyst
- Melbourne, VIC
- Permanent
- Full-time
- Join a motivated team which supports genuine flexibility (location, hours, etc.)
- Significant career growth potential
- Opportunity to shape our data agenda and have real impact
- Foster active and ongoing engagement with stakeholders to gather, clarify, and prioritise business requirements related to data and reporting use cases, ensuring clear communication between business units and the data team
- Develop strong relationships with a diverse range of stakeholders, translating their needs into actionable technical solutions and facilitating regular feedback to refine deliverables
- Map the business requirements to technical capabilities to enable data-driven solutions, maintaining transparency with all stakeholder groups throughout the project lifecycle
- Work closely with data engineers, IT teams, and business stakeholders to integrate data from various sources, ensuring solutions are aligned with operational objectives
- Contribute to design of data and AI products that directly address stakeholder priorities and support both business operations and strategic initiatives
- Identify data quality issues, proactively communicate potential impacts to stakeholders, and propose collaborative solutions to ensure data integrity and accuracy
- Conduct ad hoc analyses of source data to support operational or strategic initiatives, regularly communicating insights and recommendations with stakeholders to drive informed decisions
- Contribute to document data processes, standards, and definitions to ensure consistent data usage across departments
- Strong stakeholder management and communication skills with the ability to explain complex data concepts to non-technical stakeholders
- Minimum 3 years' experience in data analysis, business intelligence, or related role
- Appreciation of data visualisation tools (e.g., Tableau, Power BI) and support the delivery of data-driven solutions
- Excellent analytical thinking and problem-solving skills
- Exposure to modern cloud environments (e.g., AWS, Azure, Google Cloud)
- Applies critical thinking with a focus on customers and outcomes. Has experience supporting data use case delivery, utilising tools such as JIRA, Confluence, and Azure DevOps for scoping and planning.
- Knowledge of data governance and compliance standards
- Familiarity with machine learning or predictive analytics tools in AI space will be highly regarded