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- Tasks: Design and deliver tools to measure transport's impact on the environment.
- Company: Join a leading organisation shaping a greener future in transport.
- Benefits: Competitive salary, 28 days holiday, hybrid working, and pension scheme.
- Why this job: Make a real impact on sustainable transport and infrastructure in the North.
- Qualifications: Strong analytical skills and experience with datasets and analytical tools.
- Other info: Inclusive environment with opportunities for professional growth.
The predicted salary is between 31200 - 38400 £ per year.
Job Description
Transport Data and Modelling Analyst
Our client is looking for an Analyst to join their appraisal, modelling and economics team. This is a great opportunity to apply your analytical expertise to projects that will influence the future of transport, carbon reduction and sustainable infrastructure in the North of England.
The Role
You will help design and deliver tools and models that measure the impact of transport on the environment and communities. Day to day this means developing scripts, software and outputs that build a strong evidence base on carbon emissions and the transition to electric vehicles.
This is a rare chance to contribute to nationally significant work, producing analysis and technical products that will inform decision makers and be visible at a public level.
The Company
You will be joining an organisation at the forefront of shaping a greener, more connected future. Their team uses innovative approaches and robust evidence to influence policy and investment, making sure the North gets the infrastructure it needs to thrive. Working here means joining a forward thinking and inclusive environment where your work will have real impact.
Requirements
We are looking for an analyst who has strong technical ability and a passion for innovation. You will bring
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Experience developing datasets, data products and analytical processes
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Strong skills in designing and delivering analytical tools to specification
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A highly numerate degree or equivalent experience
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Excellent attention to detail and problem solving ability
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Knowledge of transport modelling software and theory is a bonus
Benefits
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Salary between £39k and "£47k
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28 days holiday plus bank holidays
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Local Government Pension Scheme
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Flexi Time Scheme allowing accrual of up to 18 additional days leave per year
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Access to various salary sacrifice benefits including a travel pass scheme
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Hybrid working options
This is a brilliant opportunity if you are looking to use your analytical skills to shape the future of sustainable transport and infrastructure.
Apply below to find out more.
Data Analyst - Transport - Manchester employer: Cathcart Technology
Contact Detail:
Cathcart Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Transport - Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the transport and data analysis sectors on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your analytical projects, especially those related to transport and sustainability. Use platforms like GitHub to share your scripts and models. This will give potential employers a taste of what you can do!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss how you've tackled data challenges in the past, especially in relation to carbon emissions or transport modelling. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly shows your enthusiasm and commitment to joining our mission for a greener future.
We think you need these skills to ace Data Analyst - Transport - Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your analytical skills and any relevant experience in transport modelling or environmental impact analysis. We want to see how your background aligns with our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about sustainable transport and how your skills can contribute to our projects. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills: Don’t forget to mention your technical abilities! Whether it's developing datasets or using transport modelling software, make sure we know what tools you’re proficient in. This is key for us when considering your application.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, you’ll find all the details you need about the role right there!
How to prepare for a job interview at Cathcart Technology
✨Know Your Data Inside Out
Make sure you’re familiar with the datasets and analytical tools mentioned in the job description. Brush up on your knowledge of transport modelling software and be ready to discuss how you've used data to drive decisions in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your attention to detail and problem-solving abilities. Think of specific challenges you've faced in previous roles and how you tackled them, especially in relation to carbon emissions or sustainable infrastructure.
✨Demonstrate Your Passion for Innovation
This role is all about shaping a greener future, so be ready to share your thoughts on innovative approaches in transport analytics. Discuss any new methods or technologies you’ve explored and how they could apply to the company’s goals.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the company’s mission and projects. Inquire about their current initiatives in carbon reduction or how they measure the impact of their models on communities. This shows you’re engaged and serious about contributing.
