Senior Operations Data Analyst

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