At a Glance
- Tasks: Lead data-driven initiatives in asset management and digital analytics for energy projects.
- Company: Join WSP, a global leader in engineering and consultancy with a collaborative culture.
- Benefits: Competitive salary, diverse opportunities, and a chance to make a real impact.
- Other info: Be part of a close-knit community dedicated to positive change and career growth.
- Why this job: Shape your career while working on innovative projects that matter to the world.
- Qualifications: Experience in data analytics, proficiency in Python, SQL, and Power BI.
The predicted salary is between 50000 - 65000 £ per year.
What if you could do the kind of work the world needs? At WSP, you can access our global scale, contribute to landmark projects and connect with the brightest minds in your field to do the best work of your life. You can embrace your curiosity in a culture that celebrates new ideas and diverse perspectives. You can experience a world of opportunity and the chance to shape a career as unique as you.
A little more about your role... 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:- Cross-Business Data Leadership
- 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
- Analyse data from 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, 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/tools, Improve asset data management practices, Support proposals and digital capability development, Translate technical outputs into client-ready deliverables
What we will be looking for you to demonstrate...
- 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 → 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
Don’t quite meet all the criteria? Apply, and we can see how your experience aligns to this role and other opportunities within the team.
Imagine a better future for you and a better future for us all. Join our close-knit community of talented individuals who share your passion for making a positive impact. Our global team includes more than 69,000 employees, working together to make a difference in communities both close to home and around the world. With us, you can. Apply today.
Asset Management Data Consultant (Energy) in Manchester employer: WSP
WSP is an excellent employer, offering a dynamic work environment in Leeds that fosters professional growth and development through initiatives like the Land Academy. With a strong emphasis on hybrid working arrangements, employees enjoy a healthy work-life balance while engaging in meaningful projects that shape urban and rural landscapes across the UK and Ireland.
StudySmarter Expert Advice🤫
We think this is how you could land Asset Management Data Consultant (Energy) in Manchester
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We think you need these skills to ace Asset Management Data Consultant (Energy) in Manchester
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at WSP, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at WSP. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at WSP
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at WSP!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
