Job Description
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.
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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.
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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.
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Key Responsibilities
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Design and build scalable data pipelines using modern cloud data platforms.
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Develop and maintain ETL / ELT workflows integrating data from multiple internal and external sources.
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Automate data workflows using Python and low-code automation tools to reduce manual effort.
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Build and optimise data models to support BI reporting, analytics, and AI use cases.
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Provide Python-based analytics and statistical modelling support.
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Troubleshoot and resolve complex data, pipeline, and data model issues.
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Partner with business stakeholders to translate requirements into actionable data solutions.
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Create documentation, best practices, and standards to support data literacy and self-service.
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Ensure compliance with data governance, security, and privacy standards.
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About You
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5+ years' experience in data analytics, data engineering, or analytics consulting roles.
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Advanced SQL skills and strong experience building data pipelines in cloud platforms (Azure, Snowflake, Databricks, Fabric or similar).
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Strong Python capability (Pandas, automation, analytics).
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Experience with data modelling for analytics and reporting.
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Exposure to workflow automation tools and CI/CD practices.
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Strong communication skills with the ability to explain technical concepts to non-technical audiences.
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A team-oriented mindset with a passion for enabling data-driven decision making.
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What's on Offer
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Work on high-impact data and analytics initiatives in a mature, data-rich environment.
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Exposure to modern data platforms, automation, and advanced analytics use cases.
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Hybrid working model supporting flexibility and balance.
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Collaborative culture focused on continuous improvement and innovation.
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📌 Data Analyst (Victoria)
🏢 Recoded
📍 Victoria