
Advanced Data Analyst
11 hours ago
Enablemining is a global mining consultancy headquartered in Australia, providing a full spectrum of services. We specialize in strategy, mine planning, and technical evaluations for coal and metalliferous mines.
Our expertise in structured problem-solving and innovative thinking helps clients maximize the value of their assets. We collaborate as trusted partners to deliver impactful solutions that drive success in the mining industry.
Role OverviewWe are seeking an experienced Data Scientist to join our team on a 2-month fixed contract with potential extension. The role demands deep expertise in data mining, statistical modeling, algorithm development, and simulation design.
The successful candidate will work closely with cross-functional teams to uncover actionable insights, optimize performance, and drive strategic outcomes.
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 like 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.
· Bachelor's degree or equivalent experience in a 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
BenefitsThis is a unique opportunity to leverage your data science expertise to drive business growth and optimize operational efficiency.
Other OpportunitiesAs a member of our team, you will have access to ongoing training and professional development, enabling you to stay up-to-date with the latest trends and technologies in data science.
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