Asset Management Analyst focusing on transmission improvements and data analytics for an energy company operating in Brazil. Collaborating on maintenance strategies for energy assets.
Responsibilities
Work on activities related to asset management, including control and improvements of transmission assets covering 5,239 km of lines and 61 substations at 500/230 kV, operating across 10 states. Also work with generation assets including 6 photovoltaic plants totaling 186 MW.
Perform analysis and approval during the item registration stage entered by the requester in the system.
Participate in the stages of the inventory management process flowchart.
Participate in analysis and steps of the instrument calibration and maintenance process.
Handle initiation, control and monitoring of necessary actions related to asset warranties.
Manage control, analysis and registration of assets and required actions in Work Orders (WO) within the Maintenance Management System.
Develop, automate and maintain analytical and management dashboards in Power BI, covering indicators such as: asset availability, MTTR, MTBF, critical backlog, failure recurrence, energy losses (MWh), asset performance and reliability.
Create automated reporting routines to reduce manual effort and increase the frequency and reliability of analyses.
Develop analytical and predictive models using data analysis tools, including: trend and degradation analysis, probability of failure, unavailability risk, anomaly detection, and support for condition-based maintenance.
Apply Asset Reliability concepts in data analyses, such as: criticality, failure modes and effects, asset life cycle, integrity and operational risk.
Work on modeling and standardization of asset data, including: asset hierarchy and registration, maintenance events and work orders, location, criticality and classification.
Other tasks delegated by coordination/management relevant to the role.
Requirements
Bachelor's degree or higher (any field).
Familiarity with the Asset Control Manual for the Electric Sector (MCPSE).
Proficient in Microsoft Office and Power BI.
Knowledge of Python or similar programming language.
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