
Advanced Data Analyst
2 days ago
Enablemining is a global mining consultancy headquartered in Australia. We specialize in providing a full spectrum of services, including strategy, mine planning, and technical evaluations for coal and metalliferous mines.
Role OverviewWe are seeking a highly experienced and technically versatile Data Scientist on a fixed 2 month contract with a potential for extension to deliver data-driven initiatives across the business. This role demands deep expertise in data mining, statistical modeling, algorithm development, and simulation design.
You will work closely with cross-functional teams to uncover actionable insights, optimize performance, and drive strategic outcomes.
Key Responsibilities- Collaborate with stakeholders to identify opportunities for leveraging data to solve business challenges and improve outcomes.
- Mine and analyze structured and unstructured data using tools such as Python, R, SQL, and Spark.
- Build and implement predictive models, simulations, and machine learning algorithms to optimize customer experience, revenue, and operational efficiency.
- Assess and validate new data sources and collection methods for accuracy and relevance.
- Develop custom data models and scalable algorithms tailored to business needs.
- Use Power BI to visualize insights and communicate findings effectively.
- Lead automation of data flows, reporting, and analytical processes using Python, R, Power Query, and cloud-based tools.
- Coordinate with engineering, product, and business teams to deploy models and monitor performance.
- Design and implement tools and processes to track model accuracy, data quality, and business impact.
- Deliver training modules and mentor junior analysts to build analytical capability across the organization.
- Share best practices and foster a culture of continuous improvement and data literacy.
Qualifications:
• Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.).
• At least 2 years' of experience in quantitative analytics or data modeling.
• Proven experience in advanced analytics, statistical modeling, and machine learning.
• Strong programming skills in Python and R.
• Proficient in Power BI, SQL, and data visualization best practices.
• Experience with cloud platforms such as Azure, AWS.
• Skilled in process mapping, redesign, and automation of complex workflows.
• Strong communication and stakeholder management skills, with the ability to influence and drive change.
• Ability to navigate and integrate data across multiple platforms and systems.
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