Job Description
This is a pivotal role within the Energy business, acting as a bridge between asset management, digital analytics, and engineering service lines. The Asset Management Data Consultant will lead and support data‑driven initiatives across multiple projects and internal workstreams, improving how data is structured, analysed, visualised, and used to inform decision‑making. The role combines technical data capability with asset domain expertise and requires strong stakeholder engagement across internal teams and external clients.
Key Responsibilities
- Act as a central point of contact for data analytics across Energy service lines
- Support consistency in data structures, reporting approaches, and analytical methods across projects
- Enable integration of data workflows between disciplines
Data Analytics & Insight Development
- Develop advanced analytics to support asset performance trending, failure prediction and anomaly detection, asset health and risk scoring, and analysis of SCADA, CMMS, operational logs, and engineering datasets
- Convert complex datasets into meaningful insights and clear recommendations
Dashboard & Tool Development
- Design and build interactive dashboards (Power BI or similar) for internal project delivery tracking, asset performance monitoring, and client‑facing reporting tools
- Develop reusable analytics templates and visualisation standards
- Support development of internal tools and digital products for asset management
Digital Asset Management & Process Improvement
- Improve how asset data is structured, captured, and used across projects
- Support implementation of digital asset management frameworks aligned to ISO 55001 principles
- Identify inefficiencies in current workflows and propose data‑driven improvements
- Support development of digital twins, condition monitoring, and predictive maintenance use cases
Client Engagement & Delivery
- Work with clients to understand their data challenges, develop tailored dashboards and tools, improve asset data management practices, support proposals and digital capability development, and translate technical outputs into client‑ready deliverables
Qualifications
- Strong experience in data analytics, ideally in engineering/energy environments
- Proficiency in Python, SQL, Excel, and Power BI (or equivalent)
- Experience working with large/complex datasets (SCADA, operational, asset data)
- Understanding of asset management lifecycle and performance optimisation
- Ability to engage across multiple disciplines and stakeholders
- Strong communication skills (technical to non‑technical translation)
Desirable
- Exposure to predictive analytics / machine learning
- Experience with SCADA or operational data environments
- Experience in energy projects (wind, CCGT, BESS, grid, etc.)
- Experience developing internal tools or digital products
Benefits
Work‑life balance
Our hybrid working policy offers the flexibility to work from home two days a week, while also providing opportunities to collaborate in our modern offices across the UK.
Inclusivity & Belonging
We welcome applicants with varied backgrounds and experiences and promote a culture of inclusion and belonging at WSP.
Health & Wellbeing
We provide a virtual GP service, reasonable workplace adjustments, Gymflex scheme for gym memberships, and a comprehensive menopause support package.
Flex your time
WSP offers the “WSP My Hour,” allowing you to take one hour each day for personal activities, with flexibility to make up the time earlier or later that day, along with part‑time and flexible working arrangements.
Your development
We invest in growth through training, mentoring, or Chartership, fostering a supportive environment for professional development.
Equal Opportunity Statement
Here at WSP we positively encourage applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, pregnancy or maternity/paternity. As a Disability Confident leader, we will interview all disabled applicants who meet the essential criteria; please let us know if you require any workplace adjustments in support of your application.
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