An opportunity exists for a technically solid 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.
Cooperative culture focused on continuous improvement and innovation.
J-18808-Ljbffr

📌 Data Analyst Melbourne
🏢 Recoded
📍 Melbourne