Commercial Data Analyst

Appleton Thorn
1 month ago
Applications closed

Related Jobs

View all jobs

Commercial Insights Manager - Data Analyst

Data Analyst – SSI Processing

Senior Reporting Analyst

Senior Data Analyst

Senior Data Analyst

Data Analyst

Company Description

Stobart (Part of the Culina Group) is a leading ambient transport and logistics business, providing services to many of the UK’s best known brands across core consumer and retail sectors.

At Culina we have a winning culture, we believe that our culture is one of the reasons our company continues to thrive… A place where you're valued, challenged, and inspired!

Job Description

Due to continued growth, we are now seeking a Data Analyst to join our Commercial team at our Appleton Thorn site on a full time permanent basis. 

As Data Analyst you will provide accurate, detailed analysis, recommendations, and observations for new business leads. You will provide a key interface between all parties, ensuring that the information is provided within agreed timelines, to ensure tender timelines are met.

Working hours: Monday to Friday, 8:30am-17:30pm. (On-site)

You must have a full UK driving licence and access to your own vehicle to apply for this role due to the location of site.

Key Duties of a Data Analyst include:

Produce detailed analysis on new business tender opportunities.
Analyse complex data sets and build finance models to show how different scenarios would impact our business.
Assist in the costing of all new business opportunities.
Liaise with other departments as required to ensure feasibility of transport solutions being put forward.
Provide support to ‘new start ups’ as necessary.
Supporting the Head of Sales on the provision of any commercial analysis for potential new and existing customers.

Qualifications

Advance Excel user – pivot tables and v-look ups.
Excellent numerical and analytical skills and experience.
Have strong attention to detail.
Have Commercial business acumen.
Strong experience of using MS Office.
Strong communications skills both verbal and written.
Ability to communicate with the wider business at all levels.

Additional Information

As part of our drive to make Stobart a great place to work. We are proud to be an inclusive and diverse organisation where we are committed to employee development and recognising success for hard working performers.

Our dedicated learning and development programmes are open to every employee to give you the opportunity to shape your own future within logistics and continue to work in an environment where team culture thrives.

Our People are the driving force behind our success, which is why we offer a wide range of benefits which include:

Annual Leave – 25 Days + 8 Bank Holidays.
Pension scheme – We want colleagues to enjoy a comfortable retirements so we offer a great contribution of 5% employee and 3% employer.
Life Assurance -  x 2 your annual salary.
Wellness – Via our Employee Assistance Programme we offer immediate access to a confidential telephone counselling and legal information service that operates 24 hours a days, 365 days a year.
Eye Care Vouchers – We can provide you with substantial savings with free eye tests and discounts on prescription glasses.
Reward & Recognition – We recognise that employees have gone the extra mile via Employee of the month and year, special recognition and long service awards.
Everyday discounts - Via our benefit platform you will have access to over 50 retailer discounts for everyday savings!If you meet the requirements for the above role and are looking for your next career opportunity please apply now and become a part of our #WinningTeam

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Jobs Careers

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Jobs

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.