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KoBold Metals

AI-driven mineral exploration for critical metals

Senior Operations Data Analyst

Data EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 5 years in data engineering, analytics engineering, or data operations owning production systems independently.
  • Strong SQL and data modeling skills, including PostgreSQL.
  • Proven experience with ETL and API integration.
  • Experience and comfort using AI tools such as Claude, ChatGPT, and Gemini.
  • Curiosity and willingness to learn about mineral exploration, particularly geology, and to work directly with geologists in the field.
  • Ability to explain technical problems to nontechnical domain experts and collaborate on solutions.
  • Comfort working in a dynamic, fast-growing early-stage company and taking on evolving responsibilities.
  • Ability to identify technical products that best achieve business objectives.
  • Valid passport and willingness to travel to Mingomba or an exploration site as needed.

Responsibilities

  • Build new data models, ETL/API integrations, and provide application support, including Foundry.
  • Maintain the platform and data quality, including OPSDB stewardship, sync reliability, alerting, and production support.
  • Address governance and technical debt, including RBAC, scoped roles, dbt semantic layer, and documentation.
  • Support Mingomba and cross-functional mentorship, including the commitments register, peer mentorship and skill growth, and coordination with Procurement and Inventory.

Desired Qualifications

  • Experience with dbt, cloud tooling such as AWS/S3, finance systems such as NetSuite/Tipalti, or geospatial data.

About the Company

KoBold Metals

AI-driven mineral exploration for critical metals

KoBold Metals uses artificial intelligence to accelerate the discovery of lithium, cobalt, copper, and nickel deposits for clean energy. Its main product is an AI-driven mineral exploration program that combines a proprietary EOI tool with large-scale data about the Earth’s crust to decide which data to collect at each exploration step and reduce uncertainty. It stands out from traditional explorers through heavy data gathering, a multidisciplinary team, and a data-powered, repeatable scientific process. Its goal is to locate and sell mineral deposits to clean-energy companies, speeding the supply of critical minerals for batteries and renewable energy technologies.

Company size
201-500
Company stage
Late Stage VC
Total funding
$1.1B
Headquarters
Berkeley, CA
Founded
2018

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