Business Analyst – Railroad Project
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 65d ago
The date the source published, not the day we noticed it (2026-08-06). Last seen at its source just now.
We have tracked this listing since 5 Oct 2026 (5 days). The employer's own board has carried it every time we have read it, most recently just now.
Is it remote?
Allwyn US- Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $105k–184.3k/yr
Middle 50% of 1297 listings that do state pay — Operations · all levels · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
Ashby employer's own board first seen 5d ago · last seen just now
The listing
Business Analyst- Asset Management (Data & AI Focus)
Position Overview
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.
Key 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.
Required Skills & Experience
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.