{"id":1538557,"url":"https://alion.io/job/first-quantum-minerals-data-analyst","title":"Data Analyst","company":{"id":2016245,"name":"First Quantum Minerals","domain":"first-quantum.com","url":"https://alion.io/company/first-quantum","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":34,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":10,"computed_at":"2026-10-05T05:45:15Z"}},"role":"Analytics","role_family":"Analytics","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Zambia"],"countries":["ZM"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":44000,"max_usd":106000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1204},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Hadoop","optional":false},{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-23T00:00:00Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-10-06T01:01:15Z","board_verified":true,"closed_at":null,"days_open":13,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":13},"description":"At First Quantum, we free the talent of our people by taking a very different approach which is underpinned by a very different, very definite culture - the “First Quantum Way”.\nWorking with us is not like working anywhere else, which is why we recruit people who will take a bolder, smarter approach to spot opportunities, solve problems and deliver results.\nOur culture is all about encouraging you to think independently and to challenge convention to deliver the best result. That’s how we continue to achieve extraordinary things in extraordinary locations.\nJob description:\nPurpose of the Role:\nLeverage data management and analysis to improve plant reliability and efficiency. This role involves developing predictive maintenance models, managing data integrations, and ensuring the integrity of operational data systems.\nSpecific Job Responsibilities:\nDeveloping and maintaining data pipelines that consolidate information from multiple operational and business systems.\nAnalyzing equipment performance, maintenance, and reliability data to identify trends, recurring failures, and improvement opportunities.\nBuilding predictive maintenance models to forecast equipment failures and support proactive maintenance strategies.\nCreating and maintaining dashboards, reports, and visualizations that provide actionable insights to maintenance and operations teams.\nEnsuring data accuracy, integrity, accessibility, and governance across reliability-related systems.\nCollaborating with Maintenance, Operations, and Engineering teams to deliver data-driven solutions that improve decision-making and asset performance.\nSupporting continuous improvement initiatives through advanced analytics, process optimization, and reliability-focused reporting.\nProviding training and technical support on data analytics tools, methodologies, and reporting systems.\nAdvanced proficiency in Python for data analysis, automation, predictive analytics, and machine learning applications.\nStrong knowledge of SQL for querying, extracting, transforming, and analyzing large operational datasets.\nProficient in Microsoft Power BI and other data visualization tools to develop interactive dashboards, reports, and performance monitoring solutions.\nExperience working with Enterprise Resource Planning (ERP) systems such as Pronto Xi, JD Edwards (JDE), SAP, or equivalent business management platforms.\nFamiliarity with industrial data historians, SCADA systems, PI System, or other operational technology platforms.\nKnowledge of cloud-based analytics and data management platforms.\nExposure to big data technologies such as Apache Spark, Kafka, and Hadoop\nKnowledge of data integration, ETL processes, data quality management, and data governance principles.\nAbility to collect, cleanse, analyze, and interpret large volumes of structured and unstructured data.\nStrong statistical and analytical skills with the ability to identify trends, anomalies, and opportunities for performance improvement.\nExperience in developing automated reporting solutions that enhance operational visibility and decision-making.\nBehavioural Competencies\nStrong problem-solving and critical-thinking capabilities.\nExcellent verbal and written communication skills.\nAbility to translate complex technical information into clear and actionable\nbusiness insights.\nStrong stakeholder engagement and relationship management skills.\nAbility to work collaboratively across Maintenance, Operations, Engineering,\nPlanning, and Supply Chain teams.\nHigh level of attention to detail and commitment to data accuracy.\nStrong organizational and time-management skills.\nContinuous improvement mindset with a proactive approach to identifying and implementing performance improvement opportunities.\nDevelop and execute PMO Project “Preventive Maintenance Optimization” to keep the execution Preventive Maintenance program up to date.\nWork closely with planners and work execution teams to understand and improve issues related to work instructions.\nAnalyse the performance of the PM’s and their relevance with regards to preventing failure as per conclusions of root cause analysis.\nCoach and support the execution team in the development of comprehensive standard jobs.\nEquipment Strategies:\nDefect Elimination and Bad Actor Management\nDevelop and maintain a strategic plan for defect elimination and managing bad actors.\nDevelop and support personnel in usage of Reliability based methodology, bad actor identification and maintenance KPI’s monitoring.\nContribute to the management of Health and Safety by;\nUnderstands and communicates the company’s EH&S vision, policies and\nstandards to team.\nIdentifies EH&S risks and exposures in the analysis and recommendation for\nchange.\nLead the team to take every opportunity to minimise environmental impacts and to use resources as efficiently as possible to promote sustainable development.\nContributing to the identification of the significant Health and safety risks of the equipment.\nEnsuring that health and safety training is completed as required.\nEnsuring that incidents related to health, safety or the environment are reported and assist in investigations to identify any additional controls required.\nAttend regular safety meetings\nActively promote continuous improvement in safety performance throughout the workforce.\nJob Specific Competencies:\nThe specific tasks to be performed by the position holder will include;\nEnsuring that both Company and Vendor Safety and Quality standards are adhered to during Installation / Maintenance, Configuring of Field Bus Systems (Profibus / Ethernet) / Fiber Optical Systems, whilst ensuring minimum disruption to the Process Plant Operation or Production\nPerforming Fault Analysis/Fault Finding on Field Bus Systems (Profibus/Ethernet) / Fibre Optical Systems in order to eliminate re-occurrences of repetitive faults and improve Process Control Systems reliability and efficiency\nAn understanding of the Network Drawings of the Processing Plant in relation to the Control & Instrumentation Systems and Equipment installed\nKeeping record of all changes and red-line required Systems / Network Drawings for Instrumentation\nExperience & Qualifications:\nMinimum of 3 years of experience in a Data Engineering role, preferably within a manufacturing, mining, or industrial environment.\nBachelor’s degree in Computer Science, Data Science, Engineering, or related field\nVisit our website and register for instant job alerts at First Quantum Careers\nFollow us for the latest news at LinkedIn\nIf you are already a First Quantum employee, log into your 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