Data Analyst

at  Centurion

ABOUT US:

Centurion is one of Australia’s largest independently owned and operated logistics (3PL) and transport companies. Based in Perth, Western Australia but operating across Australia, we have significant mobile, land and infrastructure assets nationwide, including 20 distribution centres and a fleet of more than 2,000 vehicles. This ensures Centurion provides flexible and reliable supply chain solutions for all our customers. Centurion is a values driven organisation operating with the vision of being the leading logistics partner for stakeholders in the commodity rich communities of Australia.

SKILLS & EXPERIENCE

• Degree or Diploma in IT related field or equivalent
• A proven data analyst professional with demonstrated commercial and financial reporting
• Experience developing and delivering advanced Power BI reports and dashboards
• 2+ years’ experience working with financial data and financial teams
• Strong financial understanding, high degree of analytical skill and sound knowledge of business procedures
• Commercial experience in SQL and Python

This position will work to develop, automate, maintain, and govern the Business Intelligence, reporting, and data analysis in Centurion. Deliver financial insights and solutions to enhance business planning and decision-making while improving financial and operational performance

• Convert financial data into user-friendly dashboards & reports
• Develop and maintain commercial and financial solutions and advanced Power BI dashboards, applications, and detailed reporting solutions to provide actionable insights to stakeholders
• Analyse complex datasets to identify trends, patterns and anomalies in Key Performance Indicators and Operational efficiency insights to support business decisions and drive improvement initiatives
• Liaise with internal stakeholders at all levels to identify key business requirements and metrics to deliver reporting requirements
• Extract & transform data from SQL, in-house systems, websites, & Excel
• Ensure data quality & integrity through governance policies
• Build models to enhance business efficiency & forecast trends
• Train stakeholders on data analysis tools & best practices
• Address data deficiencies & propose solutions for improved quality