Senior Data Operations Analyst

Senior Data Operations Analyst

Full-Time 121500 - 148500 $ / year (est.) On-site
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At a Glance

  • Tasks: Own and optimize data systems, models, and integrations while mentoring junior analysts.
  • Company: Join KoBold Metals, a leader in mineral exploration tech with a collaborative spirit.
  • Benefits: Competitive salary, mentorship opportunities, and global site work experiences.
  • Other info: Dynamic role with opportunities for global travel and career advancement.
  • Why this job: Make an impact in mineral exploration while developing your data expertise.
  • Qualifications: Experience in data engineering and strong collaboration skills required.

The predicted salary is between 121500 - 148500 $ per year.

Ko Bold Metals hires a senior data engineer to own end-to-end data systems, including data models, ETL, applications, and stakeholder relationships, with mentorship to junior analysts.

The role coordinates daily with the team and reports to the Head of Operations Data.

Initial allocation emphasizes building data models and integrations, maintaining data quality, governance, and cross-functional mentorship across Mingomba and procurement/inventory teams.

A passport is required for global site work.

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Senior Data Operations Analyst employer: KoBold Metals

KoBold Metals is an exceptional employer that fosters a dynamic and innovative work culture, where employees are empowered to take ownership of their projects from day one. With a strong focus on mentorship and professional growth, team members have the opportunity to collaborate with leading experts in mineral exploration while contributing to groundbreaking AI technology. The remote-first workplace allows for flexibility and work-life balance, making it an ideal environment for those eager to make a meaningful impact in the mining industry.

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Contact Details:

KoBold Metals Recruitment Team

We think you need these skills to ace Senior Data Operations Analyst

Data Engineering
Data Modelling
ETL Processes
Data Quality Management
Data Governance
Stakeholder Relationship Management
Mentorship