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Phoenix Tailings is a rapidly growing clean mining and metals production startup dedicated to sustainable and economic critical metals production. They are seeking a driven, innovative Data Analyst for their Leadership Development Program, which aims to immerse individuals in chemical process development and prepare them for future leadership roles within the company.
Responsibilities
Analyze and synthesize data across R&D, operations, and supply chain to support strategic business decisions
Build data pipelines and dashboards to monitor critical metrics across our clean metal production workflows
Identify inefficiencies or opportunities for process improvement using data-driven insights
Collaborate with engineers and scientists to model and interpret experimental results
Leverage statistical tools and machine learning models to forecast demand, optimize inputs, or detect anomalies
Assist in developing and standardizing data governance and documentation practices
Present actionable findings to cross-functional teams and executive leadership
Support the integration of new tools and analytics platforms to enhance business intelligence capabilities
Qualification
Required
Bachelors or Masters degree in Data Science, Engineering, Mathematics, Physics, Computer Science, or a related field
Strong proficiency in SQL, Python, or R for data manipulation and analysis
Experience with data visualization tools (e.g., Tableau, Power BI)
Solid foundation in statistical analysis and problem-solving
Passion for sustainability, innovation, and clean technology
Ability to translate complex data into clear, actionable insights
Strong communication skills and a collaborative mindset
Seniority level
Seniority level
Entry level
Employment type
Employment type
Full-time
Job function
Industries
Software Development
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Inferred from the description for this job
Medical insurance
Vision insurance
401(k)
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