At a Glance
- Tasks: Transform data into insights that influence real-world infrastructure decisions.
- Company: Join a forward-thinking team dedicated to intelligent infrastructure solutions.
- Benefits: Enjoy hybrid working, health perks, and personal development opportunities.
- Other info: Embrace a culture of inclusivity and flexibility in your work-life balance.
- Why this job: Make a tangible impact on transport and public services through data analysis.
- Qualifications: Experience with data analysis tools like SQL or Python is a plus.
The predicted salary is between 35000 - 45000 £ per year.
Help turn data into insight that shapes real‑world infrastructure decisions. As part of our Intelligent Infrastructure team, you will work on projects that combine data, analysis, and client insight to support better decisions across transport, environment, and public sector services. You will support clients such as National Highways and the Department for Transport on projects ranging from analysing network performance data to contributing to national programmes such as Data for Road Safety (DFRS) and developing machine‑learning proofs of concept using real‑world data, while helping turn fragmented datasets into usable platforms that support operational decisions and future investment.
What you'll be doing:
- Independently deliver tasks and work packages within data projects, from initial exploration through to delivery.
- Analyse and interpret data from a range of sources such as operational, asset, or service data to generate insight.
- Build clear, practical outputs including dashboards, reports, or simple data models that support decision‑making.
- Work directly with clients to understand problems, shape analysis, and communicate findings.
- Contribute to discovery activities, helping define what data is needed and how it can be used.
- Bring together data from multiple sources, understanding and modelling relationships between datasets to support integration and create a clear, usable data view.
- Apply good practice in data management/governance, documentation, and technical assurance.
Experience and approach:
- Experience working with data in a consultancy, client, or delivery environment.
- Comfortable working independently on defined tasks, with support where needed.
- Strong analytical mindset with the ability to move from data to insight.
- Ability to communicate clearly, explaining technical outputs to non‑technical audiences.
- Experience working with clients or stakeholders to understand problems and shape solutions.
- A practical, problem‑solving approach rather than a focus on tools or theory.
Technical Skills:
- Good working knowledge of tools such as SQL, Python, or Power BI.
- Experience working with structured datasets to answer real‑world questions.
- Understanding of data management and governance fundamentals.
What’s in it for you?
- Work‑life balance: Hybrid working policy offering the flexibility to work from home two days a week while collaborating in modern offices across the UK.
- Inclusivity & Belonging: We welcome applicants with varied backgrounds, encouraging a culture of inclusion and belonging.
- Health & Wellbeing: Access to a virtual GP service, a Thrive programme for health improvement, and other benefits such as the Gymflex scheme and comprehensive menopause support.
- Flex your time: “WSP My Hour” allows you to take one hour each day for personal activities, with flexibility to make up time.
- Your development: Opportunities for training, mentoring, and chartership to support your professional growth.
EEO 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.
Data Consultant - Intelligent Infrastructure in Liverpool employer: WSP
WSP is an exceptional employer that prioritises work-life balance and inclusivity, offering a hybrid working policy that allows flexibility to work from home two days a week. With a strong focus on employee development through training and mentoring opportunities, as well as comprehensive health and wellbeing benefits, WSP fosters a supportive and collaborative work culture that empowers its employees to thrive in their roles as Data Consultants within the Intelligent Infrastructure team.
StudySmarter Expert Advice🤫
We think this is how you could land Data Consultant - Intelligent Infrastructure in Liverpool
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your analytical skills. Think about how you can turn data into insights and be ready to discuss real-world examples from your experience.
✨Tip Number 3
Showcase your technical skills! If you’ve worked with SQL, Python, or Power BI, be sure to highlight these in conversations. Bring along any dashboards or reports you've created to demonstrate your capabilities.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Data Consultant - Intelligent Infrastructure in Liverpool
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Data Consultant role. Highlight your experience with data analysis, client interaction, and any relevant projects that showcase your skills in turning data into actionable insights.
Showcase Your Technical Skills:Don’t forget to mention your proficiency in tools like SQL, Python, or Power BI. We want to see how you’ve used these tools in real-world scenarios, so include specific examples that demonstrate your technical know-how.
Communicate Clearly:Since you'll be working with clients who may not be data-savvy, it’s crucial to show that you can explain complex concepts in simple terms. Use your application to illustrate how you've successfully communicated findings to non-technical audiences in the past.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way to ensure your application gets the attention it deserves, and you’ll find all the details you need to make your submission as strong as possible.
How to prepare for a job interview at WSP
✨Know Your Data
Before the interview, brush up on your knowledge of data analysis and the tools mentioned in the job description, like SQL and Python. Be ready to discuss how you've used these tools in past projects, especially in a consultancy or client environment.
✨Understand the Client's Needs
Research the types of clients you might be working with, such as National Highways and the Department for Transport. Think about how your skills can help them solve real-world problems and be prepared to share examples of how you've done this before.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. You may need to communicate findings to non-technical audiences, so think of ways to make your insights accessible and relatable. This will show that you can bridge the gap between data and decision-making.
✨Show Your Problem-Solving Skills
Be ready to discuss specific challenges you've faced in previous roles and how you approached solving them. Highlight your practical, problem-solving mindset and how it aligns with the role's focus on turning data into actionable insights.
