At a Glance
- Tasks: Transform complex data into clear insights that drive business decisions.
- Company: Join VPZ, the UK's leading vape retailer with 200 locations.
- Benefits: Competitive salary, career growth, and a dynamic work environment.
- Other info: Opportunity to work with innovative tools like Power BI and enhance your analytical skills.
- Why this job: Make an impact by analysing data and influencing key business strategies.
- Qualifications: 2+ years in data analysis, strong SQL and Excel skills required.
The predicted salary is between 35000 - 40000 £ per year.
About VPZ
VPZ is the UK’s leading specialist vape retailer. Since opening our first store in Edinburgh, we have grown to 200 locations across the UK. We are continuing to invest in data and analytics so that teams across retail, e-commerce, manufacturing and operations can make faster, better informed decisions.
About the Role
As a Data Analyst, you will turn complex information into clear recommendations that influence commercial and operational decisions across the business. You will build trusted dashboards, investigate performance trends and work with stakeholders to identify opportunities in areas such as store performance, product ranging, customer behaviour, stock management and campaign effectiveness. This role would suit an analyst who enjoys combining hands-on technical work with commercial problem-solving and stakeholder communication.
What You Will Do
- Build and maintain dashboards and recurring reports in Power BI or a comparable visualisation platform.
- Analyse sales and operational performance across more than 190 stores, identifying trends, risks and commercial opportunities.
- Evaluate product, category, store and channel performance to support ranging and investment decisions.
- Present regular performance updates and clear recommendations to senior stakeholders.
- Analyse customer behaviour, segmentation, retention and marketing campaign effectiveness.
- Support demand forecasting, stock analysis and supply-chain optimisation.
What Success Looks Like
During your first six months, you will:
- Establish trusted and consistently used performance dashboards.
- Improve the speed and reliability of recurring reporting.
- Deliver analysis that leads to measurable commercial or operational action.
- Improve visibility of store, product, customer and stock performance.
- Strengthen data quality and reduce unnecessary manual processes.
Essential Experience and Skills
You will be a strong match for this role if you have:
- At least two years of experience in a Data Analyst, BI Analyst or comparable analytical role.
- Strong SQL skills, including the ability to work with joins, aggregations, CTEs and complex datasets.
- Advanced Excel skills.
- Experience creating dashboards and reports in Power BI, Tableau or a comparable platform.
- The ability to interpret commercial performance and turn analysis into practical recommendations.
Desirable Experience
It would be beneficial, but not essential, if you have:
- Experience in retail, e-commerce, FMCG or manufacturing analytics.
- Experience extracting data from REST APIs.
- Knowledge of MongoDB or another NoSQL database.
- Experience using Python or R for analysis, automation or statistical modelling.
- Experience in demand forecasting, stock optimisation or customer segmentation.
Please ensure you apply with an up-to-date CV. Applicants must be 18 years old or above, any subsequent job offer is subject to pre-employment screening and right to work checks.
Data Analyst in Newbridge employer: VPZ
VPZ is an exceptional employer, offering a dynamic work environment where you can thrive as a Cluster Manager. With a strong focus on employee development, we provide comprehensive training and support to help you excel in your role while enjoying competitive benefits such as a quarterly bonus and generous staff discounts. Join us in shaping the future of the vape industry in a collaborative culture that values performance and customer satisfaction across our growing network of stores in Scotland.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Newbridge
✨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 VPZ!
✨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 VPZ.
✨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 VPZ.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at VPZ, 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 Newbridge
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 VPZ, 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 VPZ. 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 VPZ
✨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 VPZ!
✨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.