Retail Data Analyst – Dashboards & Insights in Newbridge

Retail Data Analyst – Dashboards & Insights in Newbridge

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

  • Tasks: Transform complex data into clear insights and impactful recommendations.
  • Company: Join VPZ, the UK's top specialist vape retailer.
  • Benefits: Enjoy a competitive salary and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and performance.
  • Why this job: Make a real difference by influencing key business decisions with your data skills.
  • Qualifications: Strong analytical skills and experience in data visualisation.

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

VPZ, the UK’s leading specialist vape retailer, is recruiting a Data Analyst to turn complex information into clear recommendations that influence commercial and operational decisions.

You will build trusted dashboards, investigate performance trends and collaborate with stakeholders to identify opportunities in store performance, product ranging, customer behaviour, stock management and campaign effectiveness.

Retail Data Analyst – Dashboards & Insights in Newbridge employer: CCHG Ltd

VPZ is an exceptional employer, offering a dynamic work environment in the heart of Edinburgh where you can thrive as a Finance Graduate. With a clear progression pathway and hands-on experience alongside finance leadership, you'll be empowered to grow your career while enjoying generous employee benefits, including significant discounts and incentives. Join us at this exciting time of expansion and be part of a team that values innovation and collaboration.

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Contact Details:

CCHG Ltd Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Retail Data Analyst – Dashboards & Insights 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 CCHG Ltd!

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 Retail Data Analyst – Dashboards & Insights at CCHG Ltd.

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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 CCHG Ltd.

Apply Directly through Our Website

When you find a suitable opening like Retail Data Analyst – Dashboards & Insights at CCHG Ltd, 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 – Dashboards & Insights in Newbridge

Data Analysis
Dashboard Development
Performance Trend Investigation
Stakeholder Collaboration
Commercial Decision-Making
Operational Decision-Making
Product Ranging Analysis

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 CCHG Ltd, 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 CCHG Ltd. 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 CCHG Ltd

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 CCHG Ltd!

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.