Business Analyst

About the Role

The Business Analyst will lead business process transformation and requirements analysis for our Asset Management System, with a strong emphasis on data strategy, AI/ML enablement, and analytics-driven decision support. This role partners with business, technology, and data teams to design scalable processes, define functional and non-functional requirements, and ensure delivery of high-value digital capabilities.

Responsibilities

• Process Mapping & Optimization — Lead end-to-end process discovery, modeling (BPMN), gap analysis, and redesign for asset lifecycle workflows (acquisition, maintenance, depreciation, disposal).
• Requirements Engineering — Gather, document, and validate business, functional, and data requirements for system enhancements and new capabilities.
• Asset Management Domain Analysis — Translate asset operations needs into system features, ensuring compliance with financial, regulatory, and audit standards.
• Data & AI Enablement — Define data models, metadata needs, and integration points to support analytics, predictive maintenance, anomaly detection, and AI-driven insights.
• Stakeholder Management — Facilitate workshops, drive alignment, and manage expectations across business, IT, data engineering, and leadership teams.
• Solution Evaluation — Assess vendor solutions, internal prototypes, and AI models for feasibility, scalability, and business value.
• Documentation & Governance — Maintain BRDs, user stories, process maps, data dictionaries, and test scenarios.
• Change Management — Support UAT, training, adoption, and rollout of new processes and system capabilities.
• Apply Value Stream Mapping (VSM) to identify waste, bottlenecks, and cost drivers across asset lifecycle workflows, quantifying improvement opportunities.
• Lead Business Process Re-engineering (BPR) initiatives to challenge and redesign legacy processes, reducing cycle times, manual handoffs, and operational risk at scale.

Requirements

• 2–7 years of experience working as a Business Analyst, with experience in Rail Asset Management.
• Strong experience with Asset Management Systems (EAM, CMMS, ERP Asset Modules).
• Hands-on expertise in BPMN, process modeling tools (Visio, Signavio, ARIS).
• Solid understanding of data flows, data quality, master data, and metadata management.
• Exposure to AI/ML concepts such as predictive maintenance, forecasting, anomaly detection, NLP, or automation.
• Ability to write clear user stories, acceptance criteria, and process documentation.
• Experience working with data engineering, BI teams, and cloud platforms (Azure/AWS/GCP).
• Strong analytical, communication, and cross-functional collaboration skills.

Preferred Qualifications

• Experience with AI-enabled asset management or IoT/telemetry data.
• Familiarity with SQL, Power BI/Tableau, or data modeling.
• Knowledge of ITIL, ISO 55000, or other asset management frameworks.
• Background in automation (RPA, workflow engines, intelligent document processing).
• Certifications: CBAP, PMP, Lean Six Sigma, BPM, or Data Analytics.

Key Value This Role Brings

• Drives process excellence across asset lifecycle operations.
• Enables data-driven decision making and AI-powered insights.
• Bridges business needs with modern digital and data capabilities.
• Ensures scalable, compliant, and future-ready asset management processes.

Note: Quarterly travel for PI meetings.