Data Analytics Specialist

Description

**Date:** 18 Aug 2026 **Location:** Salares Norte, Americas **\#job\-location.job\-location\-inline { display:** inline; } **Company:** Gold Fields Group Services (Pty) Ltd **Job Req ID:** Gold Fields promotes and celebrates diversity and inclusion by creating equal employment opportunities to benefit our employees and communities. Data Analytics Specialist At Gold Fields, we do not only extract gold—we create lasting value that extends beyond mining. We are driven by our commitment to environmental stewardship, local community development, and fostering a safe, ethical, and innovative workplace. We are seeking a Data Analytics Specialist to join our Asset Performance Management team based in Santiago. Purpose Enable operational and management decision-making through advanced analytics, data modeling, and KPI definition—ensuring reliability, performance, and operational information is consistent, traceable, and available to superintendencies and management. This strengthens data governance and cross-functional reporting, integrating OT/IT sources and transforming data into actionable insights for Asset Performance. The primary challenge of this role is to balance the speed of insight and automation delivery with the robustness of data governance—maintaining integrity and performance across platforms that integrate multiple OT/IT sources. The role must prioritize concurrent demands from various superintendencies, reconciling standardized KPIs with local needs, and ensuring continuity of solutions while models, data, and requirements evolve—managing incidents without compromising trust in information. **In this position, your key responsibilities will include:** Automating data extraction, transformation, integration, and visualization processes according to defined requirements. Integrating data from multiple OT, IT, maintenance, process, and corporate systems—consolidating them for analytical and reporting use. Developing technical analyses and executive reports for management and superintendencies—ensuring consistency of presented information. Providing technical support to users on analytics and reporting tools. Coordinating cross-functional support in advanced analytics, data modeling, and KPI definition with end-user superintendencies—gathering requirements and aligning deliverables. Managing data and reporting systems and platforms—monitoring availability, integrity, performance, and operational, reliability, and performance-related data governance. Analyzing trends, deviations, and improvement opportunities using operational, reliability, and performance data—recommending evidence-based action priorities. Evaluating and proposing advanced analytics and artificial intelligence approaches applied to operations—for prediction, classification, anomaly detection, and insight generation. Defining and proposing data quality, governance, and modeling standards for cross-functional adoption within the function. Who Are We Looking For? **Education:** Bachelor’s degree in Industrial Civil Engineering, Computer Science, Metallurgy, Chemistry, Mechanical Engineering, Mathematics, or a related field. A postgraduate diploma or degree in Data Analytics, Data Science, Artificial Intelligence, or related disciplines is desirable. **Experience:** Minimum five years of experience applying data analytics in industrial contexts or complex operations. Experience implementing data pipelines, BI platforms, and machine learning models. **Knowledge:** Data analytics and applied statistics for operations (trend analysis, deviation analysis, root cause analysis); data modeling and design of operational metrics/KPIs with traceability; data engineering—including ETL/ELT pipeline design and integration of multiple sources; relational databases and advanced SQL; programming for analysis and modeling in Python (pandas, numpy, scikit\-learn or equivalent); data governance and quality (standards, lineage, integrity, controls); advanced analytics and AI applied to operations (prediction, classification, anomaly detection). **Additional knowledge valued:** OT/IT data integration with historians and industrial systems (ABB KM and 800xA, PI System, SCADA, OPC or other protocols); cloud data architectures and concepts of data lake and data warehouse; asset and maintenance management in mining (processes, reliability, and performance); designing solutions using real-time or near real\-time operational data. **Position Conditions:** **Shift:** 5x2 (Monday to Friday), with availability for travel to Salares Norte. **Work Location:** Santiago **Contract Type:** Indefinite-term contract **Reports To:** Manager, Asset Performance **Department:** Asset Performance Working at Gold Fields Chile means joining a global, cutting-edge mining company that puts people at its core—prioritizing a safety culture. By joining our team, you become part of an inclusive and diverse organization where you’ll drive sustainable technological innovation in technically complex operations such as Salares Norte. If you want to be part of the mining industry of the future, apply with us. **Application Deadline:** From 18 August to 30 August 2026 **Our Purpose:** We create lasting value beyond mining CONSENT FOR PERSONAL DATA PROCESSING IN THE RECRUITMENT AND SELECTION PROCESS Gold Fields Salares Norte SpA and all other Gold Fields group companies in Chile (hereinafter collectively referred to as “Gold Fields” or “the Company”), as data controllers, inform you that the personal data you provide via the Company’s job portal on the Careers website will be processed in accordance with Law No. 19.628, as amended by Law No. 21.719 on the Protection and Processing of Personal Data and the Creation of the Agency for Personal Data Protection, as well as other applicable regulations. By completing your profile and applying for a job opening, you expressly authorize the processing of your personal data for participation in the Company’s recruitment and selection processes—including profile analysis, suitability assessment for various positions, interviews and medical, physical or psychological evaluations, as well as contact regarding future employment opportunities within the Company. Thus, the legal basis for processing your data is the consent granted herein. Your data may be processed through collection, storage, and use—always under appropriate confidentiality and security conditions. Your data will be retained for the period necessary to fulfill the stated purposes—or until you exercise your right to withdraw consent—always adhering to the principle of data minimization. At any time, you may exercise your rights of access, rectification, erasure, objection, and data portability in accordance with current regulations, by contacting DatosPersonalesCL@goldfields.com. In any case, withdrawal of your consent shall not affect the lawfulness of processing based on consent provided prior to withdrawal. This job posting is governed by Law No. 21.015, which promotes the inclusion of persons with disabilities in the labor market.