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Data Analytics Specialist – Environmental Data Business Analyst

First Quantum Minerals · Colón

🇬🇧 English
Data governance ETL Data lakes AI/ML Data classification Access control Cybersecurity

Descripcion del puesto

About the role

First Quantum is seeking a Specialist in Data Analytics to act as the functional Product Owner for the Environmental Data domain at Cobre Panamá. The role bridges the Environmental Management team, its five Superintendencies, and corporate ICT groups to ensure environmental data is captured, governed, integrated and visualised effectively.

Key responsibilities

  • Maintain and prioritize the backlog of environmental data products, including databases, dashboards, integrations, automation and reporting.
  • Define the environmental data roadmap with the five Superintendencies and arbitrate priorities when resources are limited.
  • Establish the definition of done, validate deliverables and formally accept releases after functional testing.
  • Ensure data quality, integrity and traceability throughout the data lifecycle.
  • Collaborate with ICT (Data & Analytics, Architecture, Cybersecurity) to define functional requirements, data classification, access controls and domain‑specific data architecture.
  • Coordinate AI/ML initiatives within the environmental domain in line with the Group AI Portfolio.
  • Validate field data acquisition platforms, sensors and network integrations with OT/ICT teams.

Required profile

  • Strong understanding of environmental data types (biodiversity, physicochemical, forestry, geospatial, operational).
  • Experience acting as a functional product owner or business analyst for data‑centric products.
  • Ability to translate business needs into clear, actionable requirements and manage a product backlog.
  • Proven collaboration skills with cross‑functional technical and scientific teams.

Required skills

  • Data governance and data quality management.
  • ETL process design and implementation.
  • Data lake architecture.
  • AI/ML concepts and coordination.
  • Data classification and access‑control principles.
  • Understanding of cybersecurity requirements for data protection.

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