Retail Data Analyst: Power BI & Dashboards

Retail Data Analyst: Power BI & Dashboards

Full-Time 29700 - 36300 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Transform complex data into actionable insights and create impactful dashboards.
  • Company: Join VPZ, the UK's top vape retailer, in a dynamic head office environment.
  • Benefits: Enjoy competitive pay, career growth, and a vibrant team culture.
  • Other info: Work across 190 stores and collaborate with various stakeholders for maximum impact.
  • Why this job: Make a real difference by influencing key business decisions with your data skills.
  • Qualifications: Experience in data analysis and proficiency in Power BI is essential.

The predicted salary is between 29700 - 36300 £ per year.

VPZ, the UK’s leading specialist vape retailer, is seeking a Data Analyst at our Head Office in Newbridge, Edinburgh.

You will turn complex information into clear recommendations that influence commercial and operational decisions.

You will build trusted dashboards, investigate performance trends across 190 stores and work with stakeholders to identify opportunities in areas such as store performance, product ranging, customer behaviour, stock management and campaign effectiveness.

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Retail Data Analyst: Power BI & Dashboards employer: VPZ

VPZ is an exceptional employer, offering a dynamic work environment in the rapidly growing vaping industry. Located in Coatbridge, we provide our Retail Sales Specialists with comprehensive training, generous discounts on products, and numerous opportunities for career advancement. Our commitment to employee development and a supportive team culture makes VPZ a fantastic place to build a rewarding career.

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Contact Details:

VPZ Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Retail Data Analyst: Power BI & Dashboards

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Apply Directly through Our Website

When you find a suitable opening like Retail Data Analyst: Power BI & Dashboards 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 Retail Data Analyst: Power BI & Dashboards

Data Analysis
Power BI
Dashboard Creation
Performance Trend Investigation
Stakeholder Engagement
Commercial Decision-Making
Operational Decision-Making

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.