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Société Générale de Surveillance

Testing, inspection, and certification services globally

Data Analyst Engineer

Data ScienceConfirmed live in the last 24 hours
Full-timePudahuel, Santiago Metropolitan Region, ChileNo salary listedIn-person

About the Job

Requirements

  • A professional or technical qualification in Metallurgical Civil Engineering, Mining Civil Engineering, Industrial Civil Engineering, Computer Engineering or Computer Science, Statistics, Data Science, Data Analyst, Management Control, or a related career.
  • At least 2 years of experience in data analysis, statistical analysis, data science, business intelligence, or equivalent functions.
  • Proficiency in Python for data analysis and processing.
  • Knowledge of SQL and database management.
  • Advanced Excel and Power BI skills.
  • Knowledge of statistics, trends, correlations, and regression.
  • Ability to clean and validate data.
  • Complementary education in data analysis, applied statistics, data science, machine learning, or business intelligence is desirable.
  • Experience in mining processes and concentrator plants is desirable.
  • Strong analytical ability and logical thinking.
  • Ability to communicate technical results effectively.
  • Results orientation and attention to detail.
  • Ability to work autonomously, stay organized, and collaborate with multidisciplinary teams.

Responsibilities

  • Analyze historical and operational information from mining processes to identify trends, relationships between variables, deviations, and improvement opportunities that support decision-making.
  • Develop statistical, predictive, and regression models on process variables to anticipate behaviors, establish relationships between variables, and support operational optimization.
  • Design and analyze key performance indicators, waterfalls, metrics, and adherence to operational ranges to monitor performance, quantify gaps, and detect conditions outside defined parameters.
  • Analyze alarms, events, and operational conditions, including associated logic and tags, to improve identification of abnormal conditions and strengthen monitoring of critical variables.
  • Process, clean, structure, and validate databases from operational sources to ensure consistency, quality, and traceability of information used in analyses.
  • Prepare and present technical results to users and multidisciplinary teams, communicating findings clearly and turning business requirements into actionable analyses.
  • Document methodologies, models, calculations, and analysis criteria to ensure reproducibility, continuity of service, and knowledge transfer.

Desired Qualifications

  • Knowledge of PI System or PI Vision.
  • Experience with concentrator plant processes and predictive models or machine learning.
  • Experience in mining, concentrator plants, process-variable analysis, and development of predictive models or regression analyses.

About the Company

Société Générale de Surveillance

Testing, inspection, and certification services globally

SGS provides testing, inspection, and certification services to help clients meet regulations, ensure quality and safety, and gain market access. It runs laboratory testing, on-site inspections, and certification against standards, often with training and consulting, across a wide range of industries. The services rely on a global network of laboratories and offices that deliver localized solutions with global expertise. What sets SGS apart is its large global footprint and its emphasis on quality, integrity, risk mitigation, and sustainability, enabling it to serve a diverse set of customers from small businesses to multinationals. The company's goal is to help customers comply with regulations, improve product quality and safety, reduce risk, and boost productivity across markets.

Company size
10,001+
Company stage
IPO
Headquarters
Geneva, Switzerland
Founded
1878

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