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KoBold Metals

Senior Operations Data Analyst

  • Seen live on KoBold Metals' site today
  • Senior
  • Remote
Pay
100k to 125k a year (currency not stated)
Location
Remote
Open for
12+ days
First seen
Oct 23, 2026
Apply on KoBold Metals' site (opens in a new tab)

Posting record

No flags

Open 12+ days

The posting's record, oldest first
  1. KoBold Metals' site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking KoBold Metals, so its true age is longer.

Last checked Nov 4, 2026.

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What the posting discloses

Pay
100k to 125k a year (currency not stated)
The US base salary range for this full-time exempt position is $100,000 to $125,000 plus equity and benefits including 401k matching. (quoted from the posting)

Not stated: Real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Skills mentioned

About the role

Senior Operations Data Analyst

About the Company

In the coming decades, demand for critical minerals such as copper, lithium, and cobalt will continue to grow. These minerals are needed to build electric infrastructure, vehicles, data centers, and electronics. However, the mining industry is making 10x fewer discoveries per dollar spent on exploration compared to 30 years ago because the easy-to-find, near surface deposits have largely been discovered.

KoBold was founded to be the first AI native mineral exploration, mine development, and technology development company. Our goal is to turn mineral exploration into a repeatable science to discover the minerals the world needs—by integrating artificial intelligence, human intelligence, and new technology. Our multidisciplinary teams of data scientists, engineers, and geologists work together to build data systems, design new sensors, and establish industry-leading workflows to develop and test subsurface predictions on our exploration projects.

Our first discovery, Mingomba, is a high-grade copper deposit in Zambia, found after spending materially less than industry average. We are developing Mingomba with the same technical rigor that we apply to exploration. The Mingomba team brings together mine and processing engineers, geologists, data scientists, software engineers, and community, health & safety, construction, and operations specialists. By combining industry knowledge and cutting edge technology, we are developing Mingomba into a world class project that has safer and more predictable outcomes for ourselves, partners, and communities. It is expected to create thousands of good jobs for generations.

KoBold runs exploration programs in eight countries, all with the potential for another discovery.

KoBold is privately held; investors include institutional asset managers T. Rowe Price and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Breakthrough Energy Ventures, BOND Capital, Durable Capital, StepStone, and Standard Investments; and strategic natural resources companies BHP and Mitsubishi.

About the Role

Senior individual contributor reporting to the Head of Operations Data, coordinating day to day with the broader team and functional stakeholders. Owns systems end to end — data model, ETL, application, and stakeholder relationships — with minimal oversight from day one, and mentors junior analysts. Approximate initial allocation

Responsibilities

  • 45% Build & integration — new data models, ETL/API integrations, and app support (Foundry et al.)
  • 25% Platform maintenance & data quality — OPSDB stewardship, sync reliability, alerting, production support
  • 15% Governance & technical debt — RBAC, scoped roles, dbt semantic layer, documentation
  • 15% Mingomba support & cross-functional mentorship — commitments register, peer mentorship and skill growth, coordination with Mingomba functional growth like Procurement, Inventory

Qualifications

  • 5+ years in data engineering, analytics engineering, or data operations owning production systems independently
  • Strong SQL and data modeling (PostgreSQL)
  • Proven ETL and API integration
  • Experience and comfort with AI (Claude, ChatGPT, Gemini, etc.)
  • Dbt, cloud tooling (AWS/S3), finance-systems (NetSuite/Tipalti), or geospatial data a plus.
  • Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain. Enjoys constantly learning such that you are driving insights through using our tools in exploration and willing to work directly with geologists in the field.
  • Ability to explain technical problems to and collaborate on solutions with domain experts who are not technical. A strong communicator who enjoys working with colleagues across the company.
  • Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on an evolving range of responsibilities.
  • Keen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company.
  • A valid passport and willingness to travel to observe our work at Mingomba or at an exploration site around the world. Light travel is required when necessary.

KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, disability, or veteran status.

This position is Full-time Exempt

The US base salary range for this full-time exempt position is $100,000 to $125,000 plus equity and benefits including 401k matching.

Location: KoBold is a remote-first workplace. All candidates must be legally authorized to work in one of the following countries: United States or Canada.

Compensation ranges are listed in USD. If you are based outside the US, the range may not translate directly: US pay reflects a different market with different competitive dynamics, so we benchmark roles against the local market rather than converting the listed figure.

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