Data Analyst

The Opportunity
Ventia’s Group Supply Chain team is excited to introduce a newly created Data Analyst role. This position is ideal for someone with strong experience in supply chain, operations, or procurement. In this role, you’ll work closely with our Data Engineer to harness data and drive impactful improvements across supply chain operations. Your insights will help identify efficiencies and enhance performance within the Group Supply Chain. Acting as a vital bridge between raw data and strategic decision-making, you’ll ensure business outcomes are guided by robust, data-driven analysis.

What’s in it for you?

• Flexible work arrangements to support work-life balance
• Work alongside a supportive, experienced, and collaborative team
• Access to cross-disciplinary learning opportunities across Ventia’s diverse sectors
• Ongoing training and professional development to support your career growth
• A range of fantastic Ventia employee benefits, including discounted private health insurance, paid parental leave, discounted travel, and more!

Key Accountabilities

• Data Analysis & Insights: Analyse complex supply chain datasets (inventory, logistics, procurement, demand planning) using Databricks to uncover trends, anomalies, and opportunities for optimisation. Conduct root-cause analysis on key metrics to drive performance improvements.
• Data Engineering & ETL: Build and maintain SQL/Python scripts in Databricks for efficient ETL processes, ensuring high data quality and accessibility.
• Reporting & Visualisation: Develop interactive dashboards and reports using Power BI or Tableau to provide real-time visibility and support data-driven decisions.
• Stakeholder Engagement: Collaborate with logistics, operations, and procurement teams to understand business needs, translate them into analytical solutions, and deliver actionable insights.
• Continuous Improvement & Governance: Enhance data processes and reporting frameworks while ensuring data integrity in partnership with engineering teams.

About You

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Operations Research, Supply Chain Management, or a related field.
• Solid professional experience in data analysis or business intelligence, within supply chain, logistics, or operations.
• Advanced SQL skills for data querying and manipulation.
• Hands-on experience with Databricks, including Lakehouse architecture and notebooks.
• Proficient in Python for large-scale data analysis and scripting.
• Skilled in creating interactive dashboards using Power BI or Tableau.
• Strong understanding of ETL processes and data warehousing.
• Familiarity with supply chain data models and metrics (e.g., inventory turnover, lead time, forecast accuracy).
• Excellent communication skills with the ability to translate complex data into clear business insights.
• Strong analytical and problem-solving capabilities.
• Self-motivated and collaborative team player.

About Ventia

Ventia is a leading infrastructure services company, operating across Australia and New Zealand. Our clients are the owners and operators of assets that are critical to our local communities. We pride ourselves on working smart, safely and sustainably, harnessing the latest technologies and brightest minds. With a diverse and proud heritage, we have a track record of delivering essential services to the communities in which we operate. 

Diversity    

Ventia is enriched by the diverse experiences, talents and cultures that our people bring to the organisation, while celebrating and respecting the communities we operate in. We are committed to providing a safe and positive environment that provides equal opportunities for individuals of all backgrounds, including Aboriginal and Torres Strait Islander people, LGBTQIA+, Women, Veterans and spouses and people with disabilities.    

How to apply    

If you are looking to expand your career with a business that rewards and values its employees, please apply below by clicking on the apply now button.    

Position Reference Number: 164666