Asset Reliability Technical Analyst

Role Overview

• The Asset Reliability Technical Analyst helps define, contextualize, and support the governance of asset and historian data to enable analytics, diagnostics, and actionable insights that optimize total cost of ownership (TCO) for equipment assets across production shop floor and building utilities.
• Supports EAM data migration technical lead: own mapping, transformation rules, cleansing, validation controls, cutover/runbook, and post-load reconciliation for asset master and related maintenance data.
• Supports Site onboarding technical lead: run site discovery and readiness, confirm prerequisite data/integration needs, coordinate deployment activities, and provide hyper care through stabilization.
• Supports Integration & interoperability: design and support data exchange between historian and EAM/maintenance platforms (APIs/standard interfaces); monitor, troubleshoot, and remediate data flow and data quality issues.
• Analytics enablement: Set up and support sandbox environments for rapid diagnostics, advanced analytics, and model development, including templates for reusability. Understand and develop actionable recommendations to boost up time and reduce TCO.
• Delivery execution: contribute to requirements, solution design, test planning/validation, and change control to move capabilities from build to stable operations.
• Release & partner coordination: align technical changes with product owners, vendors, and partners; manage handoffs and production support expectations.
• Ways of working: author and maintain SOPs/work instructions and support site adoption of standards.
• Continuous improvement: identify process and data quality improvements that increase reliability program effectiveness and reduce recurring support effort.

Requirements

• One or two years’ experience supporting asset reliability/maintenance, operations, or industrial data/analytics in manufacturing and/or utilities environments.
• Working knowledge of system integration concepts (APIs, interfaces, data quality checks) across OT/IT applications.
• Comfort operating within governed delivery processes (documentation, testing discipline, change control) in a regulated or high-availability environment.
• Strong analytical skills, including statistics and the ability to translate data into operational insights and recommendations.
• Strong cross-functional communication skills with ability to align stakeholders and drive technical decisions to closure.
• Hands-on experience with Aveva (formerly: OSIsoft) PI System and PI AF, including data modeling and contextualization.
• Direct experience with EAM platforms (e.g., SAP PM, IBM Maximo, Infor EAM, Hexagon) and associated asset master data concepts.
• Experience with common migration tooling/practices (ETL concepts, data profiling, reconciliation methods) for enterprise master data.
• Experience building advanced analytics solutions, including machine learning, and operationalizing models in an industrial context.
• Experience establishing data/asset standards and governance that scale across multiple plants/sites.
• Experience in Windows Server management.
• Knowledge of AWS best practices for data engineering and pipeline management
• Familiarity with reliability engineering practices (Reliability Centered Maintenance, Predictive Maintenance/Condition-Based Maintenance, failure modes, criticality, bad actor analysis).
• CMRP is nice to have.

Tech Stack

• AWS
• ETL

Benefits

• Flexible Work Arrangements
• Professional development opportunities