At a Glance
- Tasks: Lead the development of analytical models and tools for transport investment decisions.
- Company: Join a pioneering organisation shaping the future of transport in the North of England.
- Benefits: Competitive salary, generous leave, hybrid working, and professional development opportunities.
- Other info: Collaborative team environment with opportunities for career growth and mentoring.
- Why this job: Make a real impact on transport policies and contribute to a sustainable future.
- Qualifications: Strong analytical skills with experience in modelling and data-driven projects.
The predicted salary is between 52000 - 60000 £ per year.
Our client is looking for a Senior Analyst to join their Appraisal, Modelling and Economics team. This is an opportunity to take a leading role in developing the evidence, models and analytical tools that shape transport investment, decarbonisation and infrastructure decisions across the North of England.
The Role
You will lead the development and application of analytical models, datasets and decision-support tools that help evaluate the impact of transport policies and infrastructure investment. Working across a range of strategic programmes, you will combine technical expertise with commercial and policy awareness to provide robust evidence that informs decision-makers at regional and national level.
Responsibilities will include:
- Leading the development of analytical models, tools and methodologies
- Managing complex datasets and transforming them into meaningful insights
- Producing high-quality technical outputs and recommendations
- Supporting transport appraisal, economic analysis and business case development
- Working closely with stakeholders across local authorities, government bodies and delivery partners
- Providing technical guidance and mentoring to junior analysts
- Identifying opportunities to improve analytical approaches, automation and modelling capability
This is a rare opportunity to contribute to nationally significant projects that influence transport investment, economic growth and the transition to a low-carbon future.
The Organisation
You will be joining an organisation at the forefront of shaping the future of transport across the North of England. Their work directly influences major infrastructure decisions, supports economic growth and helps deliver a more sustainable, better-connected region. You'll be part of a collaborative team that combines analytical rigour with real-world impact.
Requirements
We are looking for someone with a strong analytical background and experience delivering complex modelling or data-driven projects. You will bring:
- Significant experience developing analytical models, datasets or decision-support tools
- Strong capability in Python, R, SQL or similar analytical technologies
- Experience translating complex analysis into clear recommendations for stakeholders
- Strong quantitative and problem-solving skills
- Experience working with large or complex datasets
- Excellent communication and stakeholder engagement skills
- Ability to manage multiple projects and priorities
Desirable experience includes:
- Transport modelling, transport planning or appraisal
- Economic analysis or business case development
- GIS and spatial analysis
- Carbon modelling, environmental analysis or sustainability-related projects
- Experience mentoring or supporting junior analysts
Benefits
Salary between £52,000 and £60,000 (depending on experience)
- 28 days annual leave plus bank holidays
- Local Government Pension Scheme
- Flexi Time Scheme allowing accrual of up to 18 additional days leave per year
- Salary sacrifice benefits including travel schemes
- Hybrid working arrangements
- Professional development and training opportunities
Why Apply?
This role would suit an experienced analyst, modeller, economist or data specialist who wants to see their work directly influence major transport and infrastructure decisions. You'll have the opportunity to shape analytical strategy, lead impactful projects and help build the evidence base that supports a greener, more connected future for the North.
Data Analyst in Warrington employer: Cathcart Technology
Join a pioneering organisation that is at the forefront of transforming transport across the North of England. As a Senior Transport Data & Modelling Analyst, you will be part of a collaborative and innovative team dedicated to influencing significant infrastructure decisions and promoting sustainable growth. With a strong focus on professional development, flexible working arrangements, and a commitment to employee well-being, this role offers a unique opportunity to make a meaningful impact while advancing your career in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Warrington
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Cathcart Technology!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Analyst at Cathcart Technology.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Cathcart Technology.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at Cathcart Technology, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Analyst in Warrington
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 Cathcart Technology, 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 Cathcart Technology. 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 Cathcart Technology
✨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 Cathcart Technology!
✨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.
