Business Analyst (Railroad domain )

Summary

Dice is seeking a Business Analyst specializing in Asset Management with a focus on data strategy and AI enablement. The role involves leading business process transformation and collaborating with various teams to design scalable processes and ensure high-value digital capabilities.

Responsibilities

• Lead end‑to‑end process discovery, modeling (BPMN), gap analysis, and redesign for asset lifecycle workflows (acquisition, maintenance, depreciation, disposal)
• Gather, document, and validate business, functional, and data requirements for system enhancements and new capabilities
• Translate asset operations needs into system features, ensuring compliance with financial, regulatory, and audit standards
• Define data models, metadata needs, and integration points to support analytics, predictive maintenance, anomaly detection, and AI‑driven insights
• Facilitate workshops, drive alignment, and manage expectations across business, IT, data engineering, and leadership teams
• Assess vendor solutions, internal prototypes, and AI models for feasibility, scalability, and business value
• Maintain BRDs, user stories, process maps, data dictionaries, and test scenarios
• 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

Skills

• 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/Google Cloud Platform)
• 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

Qualifications

Must Haves

• 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/Google Cloud Platform)
• Strong analytical, communication, and cross‑functional collaboration skills

Nice to Haves

• 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