Data Analyst

Recoded; City of Melbourne; Hybrid; AUD 90,000 - 120,000; Full time

Benefits offered by this job

Hybrid working model

Collaborative culture

Work on high-impact initiatives

Job summary

A data-driven organization in Melbourne is looking for a technically strong Data & Analytics Consultant. You'll be crucial in designing data architectures, building scalable data pipelines, and automating workflows using Python. Ideal candidates will have over 5 years of experience in data analytics and strong SQL skills. Enjoy a hybrid working model in a collaborative environment focused on continuous improvement and innovation.

Qualifications

• 5+ years' experience in data analytics, engineering, or consulting.
• Strong communication skills for technical concepts.
• Experience with CI/CD practices.

Responsibilities

• Design and build scalable data pipelines using cloud platforms.
• Develop ETL/ELT workflows integrating multiple data sources.
• Automate data workflows using Python and low-code tools.
• Troubleshoot complex data pipeline issues.
• Partner with stakeholders for actionable data solutions.

Skills

Data pipeline design

Advanced SQL

Python (Pandas, automation)

Collaboration with stakeholders

Self-service analytics

Tools

Azure

Snowflake

Databricks

Fabric

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.

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).
• Strong 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.