Role Overview (Banking experience required)
The Senior Data Analyst will support the delivery of high‑quality analytics, reporting and data-driven insights across the team. The role requires strong SQL capability, the ability to work with complex data environments, and experience collaborating effectively with technical and business stakeholders.
Key Responsibilities
- Analyse, interpret and extract insights from large datasets using advanced SQL.
- Read, understand and work with complex SQL scripts, optimising or rewriting where required.
- Contribute to data and analytics initiatives, supporting business decision‑making.
- Develop, enhance and maintain data pipelines, dashboards or analytical solutions.
- Use Terraform and Python where applicable to support automation, data engineering tasks or environment configuration.
- Collaborate effectively with cross-functional stakeholders, building strong working relationships.
- Communicate analytical findings clearly to both technical and non‑technical audiences.
- Demonstrate adaptability to shifting priorities in a dynamic, fast‑paced environment.
Required Skills & Experience
- Strong experience and foundational knowledge in data and analytics.
- Advanced SQL capability with proven ability to work across large and complex datasets.
- Ability to interpret, maintain and improve complex SQL codebases.
- Experience with Python and Terraform (preferred).
- Strong communication skills with an ability to convey technical concepts simply.
- Proven ability to build and maintain effective working relationships.
- High level of adaptability and comfort working in rapidly changing environments.
- Banking experience preferred.
Key Skills
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- Posted
- Mar 26, 2026
- Type
- Contract
- Level
- Mid-Senior
- Location
- Sydney
- Company
- Hays
Industries
Categories
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