An opportunity exists for a technically strong Data & Analytics Consultant to join a data-driven organisation undergoing significant investment in modern analytics and data platforms.

This role will suit someone with strong hands-on capability across data pipelines, analytics, and automation, combined with the ability to partner closely with stakeholders to deliver practical, high-impact data solutions.

You will play a key role in designing and implementing modern data architectures, enabling advanced analytics use cases, and improving operational efficiency through automation and self-service analytics.

Key Responsibilities

- Design and build scalable data pipelines using modern cloud data platforms.
- Develop and maintain ETL / ELT workflows integrating data from multiple internal and external sources.
- Automate data workflows using Python and low-code automation tools to reduce manual effort.
- Build and optimise data models to support BI reporting, analytics, and AI use cases.
- Provide Python-based analytics and statistical modelling support.
- Troubleshoot and resolve complex data, pipeline, and data model issues.
- Partner with business stakeholders to translate requirements into actionable data solutions.
- Create documentation,



best practices, and standards to support data literacy and self-service.
- Ensure compliance with data governance, security, and privacy standards.

About You

- 5+ years’ experience in data analytics, data engineering, or analytics consulting roles.
- Advanced SQL skills and strong experience building data pipelines in cloud platforms (Azure, Snowflake, Databricks, Fabric or similar).
- Solid Python capability (Pandas, automation, analytics).
- Experience with data modelling for analytics and reporting.
- Exposure to workflow automation tools and CI/CD practices.
- Strong communication skills with the ability to explain technical concepts to non-technical audiences.
- A collaborative mindset with a passion for enabling data-driven decision making.

What’s on Offer

- Work on high-impact data and analytics initiatives in a mature, data-rich environment.
- Exposure to modern data platforms, automation, and advanced analytics use cases.
- Hybrid working model supporting flexibility and balance.
- Collaborative culture focused on continuous improvement and innovation.

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📌 Data Analyst (Melbourne)
🏢 Recoded
📍 Melbourne