Senior Business Analyst

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee the complete process of discovery, BPMN modeling, gap analysis, and redesign pertaining to asset lifecycle workflows.

• Collect, document, and confirm business, functional, and data requirements for system improvements and new functionalities.

• Convert asset operations requirements into system features while ensuring adherence to financial, regulatory, and audit standards.

• Establish data models, metadata requirements, and integration points for analytics, predictive maintenance, anomaly detection, and AI-driven insights.

• Organize workshops and synchronize business, IT, data engineering, and leadership stakeholders.

• Assess vendor solutions, internal prototypes, and AI models for feasibility, scalability, and business value.

• Maintain Business Requirement Documents (BRDs), user stories, process maps, data dictionaries, and test scenarios.

• Assist with User Acceptance Testing (UAT), training, adoption, and implementation of new processes and system capabilities.

• Utilize Value Stream Mapping to pinpoint waste, bottlenecks, and cost drivers across asset lifecycle workflows.

• Spearhead Business Process Re-engineering initiatives to minimize cycle times, manual handoffs, and operational risks.

• Promote process excellence, data-driven decision-making, AI-powered insights, and scalable asset management processes.

⛳️ Requirements

• A minimum of 10 years of experience as a Business Analyst, BPM Analyst, or Product Analyst.

• Extensive experience with Asset Management Systems, including EAM, CMMS, or ERP Asset Modules.

• Practical expertise in BPMN and process modeling tools such as Visio, Signavio, or ARIS.

• A strong grasp of data flows, data quality, master data, and metadata management.

• Familiarity with AI/ML concepts including predictive maintenance, forecasting, anomaly detection, NLP, or automation.

• Capability to compose clear user stories, acceptance criteria, and process documentation.

• Experience collaborating with data engineering, BI teams, and cloud platforms such as Azure, AWS, or GCP.

• Excellent analytical, communication, and cross-functional collaboration abilities.

• Preference for experience with AI-enabled asset management or IoT/telemetry data.

• Familiarity with SQL, Power BI/Tableau, or data modeling is preferred.

• Knowledge of ITIL, ISO 55000, or other asset management frameworks is preferred.

• Background in automation, including RPA, workflow engines, or intelligent document processing is preferred.

• Certifications such as CBAP, PMP, Lean Six Sigma, BPM, or Data Analytics are preferred.

🏝️ Benefits

• Opportunity for remote work arrangements.

• Quarterly travel for PI meetings.