About the role

  • Data Engineer focused on analytics and data pipeline development for network optimisation. Collaborating with teams to deliver high-quality data solutions with Python and SQL.

Responsibilities

  • Design, build, and maintain scalable data pipelines and ETL workflows to support network optimisation modelling
  • Develop and automate scenario analysis frameworks using Python and SQL
  • Engineer robust data models and transformations to ingest, cleanse, and structure large-scale logistics datasets
  • Build and support others in building reproducible analytical solutions
  • Prepare detailed reports, dashboards, and presentations
  • Articulate complex technical and analytical concepts clearly to diverse stakeholders
  • Manage projects from inception to completion
  • Develop and maintain robust financial and operational scenario details
  • Support a culture within the Function that fosters the One Australia Post approach

Requirements

  • Experience in managing and leading a team
  • Experience in managing customers enquiries effectively and efficiently
  • Problem solving and listening
  • Advanced written and spoken English
  • Proactive Approach
  • Excellent knowledge of Microsoft Office
  • Flexibility in relation to working hours and locations
  • Excellent communication skills
  • Strong report writing skills

Benefits

  • Health insurance
  • Retirement plans
  • Flexible work arrangements
  • Professional development

Job title

Analytics Data Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

No Education Requirement

Tech skills

Location requirements

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