2 Remote Mining Operations Data Analyst jobs in whatjobs

Remote Mining Operations Data Analyst

40100 Kisumu KES90000 Annually WhatJobs

Posted 20 days ago

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Job Description

full-time
Our client is actively recruiting for a Remote Mining Operations Data Analyst to join their expanding team. This critical role focuses on leveraging data to optimize mining operations, enhance safety, and improve efficiency. As a remote analyst, you will collect, process, and analyze large datasets related to exploration, production, equipment performance, and safety incidents. Your insights will be vital in identifying trends, predicting potential issues, and recommending data-driven strategies to management. Key responsibilities include developing and maintaining dashboards and reports using BI tools, performing statistical analysis, and collaborating with on-site operational teams and remote management through virtual channels. You will need a strong understanding of mining processes, geological data, and operational metrics. The ideal candidate possesses advanced skills in data mining, statistical modeling, and visualization techniques, coupled with proficiency in relevant software (e.g., Python, R, SQL, Tableau). Excellent communication skills are essential for presenting complex findings to both technical and non-technical audiences. This position requires a proactive approach, meticulous attention to detail, and the ability to work independently while meeting strict deadlines. While this role is remote, familiarity with mining contexts, potentially including regions near Kisumu, Kisumu, KE , would be beneficial for understanding operational challenges. You will play a pivotal role in driving operational excellence through data intelligence.
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Remote Mining Operations Data Analyst

90100 Kitui, Eastern KES160000 Annually WhatJobs

Posted 7 days ago

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Job Description

full-time
Our client is seeking a highly analytical and detail-oriented Remote Mining Operations Data Analyst to join their remote-first team. This role is critical for optimizing efficiency, safety, and productivity within mining operations by leveraging data-driven insights. You will be responsible for collecting, processing, and analyzing vast amounts of operational data from various sources, including equipment sensors, production reports, geological surveys, and safety logs. Your insights will help identify trends, predict potential issues, and recommend strategies for improvement in areas such as resource extraction, equipment maintenance, and operational safety. The ideal candidate will possess a strong quantitative background, proficiency in data analysis tools and techniques, and a solid understanding of mining processes and challenges. You will create comprehensive reports, dashboards, and visualizations to communicate complex findings to stakeholders, including engineers, geologists, and management. This position requires a proactive and self-motivated individual who can work independently and collaboratively in a remote setting. Excellent problem-solving skills, meticulous attention to detail, and the ability to manage multiple data streams simultaneously are essential. You will play a key role in enhancing operational performance and ensuring compliance with safety and environmental regulations through insightful data analysis. This is a unique opportunity to contribute to the efficiency and sustainability of the mining industry from a remote work environment, utilizing cutting-edge analytical tools. We are looking for someone who can translate raw data into actionable business intelligence, driving significant improvements in operational outcomes. Experience with predictive modeling, time-series analysis, and data mining techniques relevant to industrial operations is highly valued. Join our client in leveraging data to revolutionize mining operations and drive innovation.

Responsibilities:
  • Collect, clean, and organize large datasets from mining operations.
  • Analyze operational data to identify trends, inefficiencies, and areas for improvement.
  • Develop predictive models for equipment failure, production output, and safety incidents.
  • Create insightful reports, dashboards, and visualizations for management and operational teams.
  • Collaborate with operations, engineering, and safety departments to understand data needs.
  • Monitor key performance indicators (KPIs) and provide recommendations for optimization.
  • Ensure data accuracy, integrity, and security.
  • Stay current with advancements in data analytics and mining technologies.
Qualifications:
  • Bachelor's or Master's degree in Data Science, Statistics, Mining Engineering, Operations Research, or a related quantitative field.
  • Proven experience as a Data Analyst, preferably within the mining or heavy industry sector.
  • Strong proficiency in data analysis and visualization tools (e.g., Python, R, SQL, Tableau, Power BI).
  • Experience with statistical modeling and machine learning techniques.
  • Understanding of mining operations, processes, and challenges.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Strong communication and presentation skills for conveying technical information.
  • Ability to work independently and manage projects effectively in a remote environment.
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