Business Analyst

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.

• 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.

• 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.

• 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.

• 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.