CLIENT

Our client is the world-leading resources company that extracts and processes minerals, oil and gas based in Australia. They also have more than 80,000 employees and contractors across 90 locations.

JOB DESCRIPTION

  • Analyses and models data to draw out insights and solutions that address hypotheses and business challenges.
  • Develops and communicates insights that guide data driven action and decision making.
  • Uses, stores, classifies, assesses and processes data/metadata in alignment with the company standards and requirements for data quality management, integrity and governance.
  • Defines and structures business problems to understand what can be addressed using analytics, designs analytics solutions and accesses and cleans data to prepare it for the analysis process.
  • Determines the underlying cause of problems and evaluates multiple solutions to ensure a planned and structured approach to solving complex problems.
  • Identifies, engages and manages a range of diverse internal and external stakeholders.
  • Engages the capabilities of the entire organisation.
  • Strives to achieve 100% safety, 100% customer value and 0% waste.
  • Knows our customer and is obsessed with meeting their needs.

JOB QUALIFICATION

  • Degree or qualifications in business analytics, mathematics, statistics, computer science or other relevant business degree, required
  • Experience & Technical Competencies
  • 5+ years of relevant analytics experience
  • Proven experience in data visualisation tools (Power BI preferred)
  • Proficient in data collection, data organisation, analysis, visualisation and presentation of data
  • Ability to optimise dashboards with significant volumes of data
  • Proven ability to take complex problems and analysis to distil into simple, easy to understand insights
  • Strong technical design skills
  • Proven ability to deliver effective communications both verbal and written
  • Proven ability to work effectively both independently and in a team-based environment

URGENT HIRING

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