Senior Operations Data Analyst

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.

Responsibilities:

• 45% Build & Integration — new data models, ETL/API integrations, and app support (e.g., Foundry)
• 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 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 (e.g., Claude, ChatGPT, Gemini)
• dbt, cloud tooling (AWS/S3), finance-systems (NetSuite/Tipalti), or geospatial data a plus
• Intellectual curiosity and eagerness to learn about mineral exploration, particularly in the geology domain. Enjoys driving insights through tools in exploration and collaborating 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 across the company.
• Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on evolving responsibilities.
• Keen focus on building technical products that align with business objectives.
• A valid passport and willingness to travel to observe work at Mingomba or exploration sites globally. Light travel is required when necessary.