Asset Performance Analyst

3 days ago

Brisbane Queensland Australia Emeco Group Full time $80,000 - $120,000 per year

Are you a pro at Data Analysis? Do you enjoy problem solving and have a passion for optimising performance and maximising value? We want YOU

Emeco are looking for an experienced Asset Performance Analyst to join our Brisbane team on a permanent full-time basis.

What we can offer:

  • Attractive Salary
  • Full Time Permanent Role based in our Brisbane Office 
  • Supportive team that's passionate about what we do
  • Perks including retail, lifestyle, and entertainment discounts

About the role:

  • Utilise advanced statistical and machine learning techniques to analyse large datasets and identify patterns, trends and anomalies. Build predictive models to optimise mining operations and equipment maintenance and performance.
  • Analyse, interpret, and connect complex data sets to identify trends, patterns, and actionable insights.
  • Develop data models, algorithms, and statistical methods to solve a variety of business challenges + contribute to establishing best practices in AI and machine learning operations.
  • Provide actionable insights and answers to complex business problems using advanced data analytics techniques and tools.
  • Collaborate with cross-functional teams, including Machine Learning Engineering, Data Engineering, and Data Platform groups, to understand business requirements, deliver data-driven solutions, and enhance data capabilities.
  • Work closely with engineers and mining experts to identify areas for improvement in operational efficiency of equipment.
  • Communicate findings and insights effectively to both technical and non-technical stakeholders, ensuring data-driven decisions are well-understood.

What we are looking for:

  • 5+ years of experience in data science, AI or closely related disciplines, demonstrating practical expertise and proficiency in the field.
  • Experience and expertise with coding in Python and SQL.
  • Experience using analytical and reporting tools (e.g. Power BI, Data Factory).
  • Experience with Cloud based platforms/services. Experience with the Databricks platform is highly valued, especially proficiency in using it for data engineering tasks, model development, and deployment within a unified analytics platform.
  • Demonstrated experience of analytical skills, critical thinking abilities, problem solving, predictive analytics and machine learning (highly regarded).

If you have any questions regarding the role, please contact Chloe Connor  

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