Senior Operations Data Analyst
AI summary of the role
Senior individual contributor owning operations data systems end-to-end (data model, ETL, applications) with minimal oversight, reporting to the Head of Operations Data.
What you’ll do
- Build and integrate new data models, ETL/API integrations, and app support (Foundry et al.)
- Maintain platform and data quality: OPSDB stewardship, sync reliability, alerting, production support
- Manage governance and technical debt: RBAC, scoped roles, dbt semantic layer, documentation
- Support Mingomba project and cross-functional mentorship: commitments register, peer mentorship, coordination with Procurement and Inventory
What you’ll bring
- 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.)
Technologies
SQL · PostgreSQL · ETL · API · Foundry · dbt · AWS · S3 · NetSuite · Tipalti · geospatial · Claude
About KoBold Metals
AI models + novel sensors for accelerated critical mineral discovery; KoBold-operated exploration programs targeting battery metals (copper, lithium, cobalt, nickel) across 60+ global properties.
Series C · 200–500 people
Source and classification
Internal deployment & tooling · Evidence for this classification:
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
More from the job description
Senior Operations Data Analyst About the Company The mining industry has steadily become worse at finding new ore deposits, requiring >10X more capital to make discoveries compared to 30 years ago. The easy-to-find, near-surface deposits have largely been found, and the industry has chronically under-invested in new exploration technology, relying on the manual techniques of yesteryear – even as demand accelerates for copper, lithium, and other metals to build electric vehicles, renewable energy, and data centers. KoBold builds AI models for mineral exploration and deploys those models—alongside our novel sensors—to guide decisions on KoBold-owned-and-operated exploration programs. Since founding in 2018, KoBold has become by far both the largest independent mineral exploration company and the largest exploration technology developer. Our data scientists and software engineers, who come from leading technology companies, jointly lead exploration programs with our renowned exploration geologists. KoBold has proven its first discovery with materially less capital than the industry average and found one of the best copper deposits ever discovered: the copper is far more concentrated than the global average of copper mines, and this asset alone is expected to generate meaningful revenue for decades. KoBold has a portfolio of more than 80 other projects, each of which has the po [... source excerpt omitted ...] stems 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 [... source excerpt omitted ...] 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, se
Employer postings · Data from · Sources