Senior Operations Data Analyst
Senior individual contributor who owns KoBold's operations data systems end to end — data modeling, ETL/API integrations, and platform maintenance — supporting an AI-driven mineral exploration company. Core stack: SQL/PostgreSQL, ETL, dbt, AWS/S3, and Foundry, while mentoring junior analysts.
- Compensation
- $100K–$125K / yr
- Location
- Remote
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Full time
- Experience
- 5+ years
- Category
- Data analytics
- Posted
Skills
Must have
- 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
- Experience and comfort with AI tools (Claude, ChatGPT, Gemini, etc.)
- Intellectual curiosity and eagerness to learn mineral exploration, particularly geology; willing to work directly with geologists in the field
- Ability to explain technical problems to non-technical domain experts and collaborate on solutions; strong communicator
- Excitement about joining a fast-growing early-stage company and comfort with a dynamic work environment
- Ability to determine what technical product to build to best achieve business objectives
- Valid passport and willingness to travel (light travel required when necessary) to Mingomba or exploration sites worldwide
Nice to have
- dbt experience
- Cloud tooling experience (AWS/S3)
- Finance systems experience (NetSuite/Tipalti)
- Geospatial data experience
Full description
Senior Operations Data AnalystAbout 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