Volkswagen Sales Executive (commercial vehicles)

Droitwich
11 months ago
Applications closed

Job Introduction:

We are seeking a talented and professional Sales Executive to play a key part in the continued growth for our Volkswagen Commercial Vehicles Dealership in Droitwich. This is an exciting opportunity to get into commercial sales selling one the worlds most exiting brands.

Your working hours are between 8.30am - 6pm Monday to Friday and working 1 in 3 Saturdays 9am to 5pm, which is a rarity in the motor trade.

Benefits include the use of a company car and an OTE of £50,000. The successful candidate will have guaranteed bonus earnings for their first 3 months, to support you while you find your feet! 

This role would ideally suit someone who has previously worked in automotive sales, however if you are a successful sales person who can demonstrate an ability and record of achieving and exceeding targets we would like to hear from you. We will offer you extensive training, together with all the help and support you need to fulfil your potential in becoming a manager in the future.  

The role and responsibilities include:

• Customer Satisfaction (CSI): You will build trust, communicate effectively and exceed our customer's expectations, whilst providing a service-based experience. In essence you will ensure that our customers buying experience is industry leading.

• Maximising Opportunities: Through prospecting, following-up calls, in-bound telephone enquiries, walk in prospects and Internet enquiries you will be developing Customer Relationships through qualification and creating an effective first impression.

• Maximising Profit: By following the sales process and achieving the monthly KPI's for unit sales, profit per unit and add-on products.

• Data Quality: To accurately and vigorously collect all customer contact and vehicle data in order to maximise the quality and content of the customer database.

What we're looking for:

A well-presented individual with a desire, character and attitude to succeed.
Unlimited confidence, resilience, drive, energy and talent.
The ability to quickly establish and build rapport with our customers.
You will possess a valid UK drivers license.
Motor trade, automotive or car dealership experience is preferred but not essential as full training will be provided.What we offer

25 days holiday plus bank holidays
Company Pension
Wellness Programme
Sick Pay
Group life insurance
Staff discount on car servicing
Listers Benefits – discounts on retailers, restaurants, cinemas & holidays
Long service and loyalty incentives
Staff referral scheme
In-house, manufacturer & professional qualifications
Free Parking / On-site Parking
Company EventsWhy Listers?

Founded in 1979, Listers Group stands as one of the largest privately and family-owned motor retailer groups in the UK. There’s a reason why this is the case, actually there’s over two and a half thousand reasons, our team. Since the very beginning our success has been a product of the fantastic people that work for us. This is recognised by representing some of the world’s most prestigious car brands across the Midlands, Lincolnshire, Gloucestershire, Norfolk and Yorkshire.  We support employees in all areas of the business, whatever your aspirations might be so if you are looking for a career within the motor trade, automotive or car dealership sector then please apply today. If you are looking for similar motor trade jobs you can also join our Talent Bank

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.