At a Glance
- Tasks: Support client data delivery and generate insights for retail dashboards.
- Company: Dynamic data company focused on innovative solutions.
- Benefits: Salary of £35-45k, pension contributions, and flexible remote work.
- Why this job: Join a team that shapes the future of retail through data insights.
- Qualifications: STEM degree and coding experience in R or Python required.
- Other info: Flexible hours with occasional in-person meetings and great career growth.
The predicted salary is between 35000 - 45000 £ per year.
A data company is seeking a Data Analyst to support client data delivery, develop products, and generate insights. The role allows for 60%-100% FTE, primarily remote, with occasional in-person meetings.
Successful candidates will have a STEM degree and experience coding in R or Python. An understanding of the UK retail environment is a plus, alongside good communication skills.
The position offers a salary of £35-45k FTE, plus pension contributions.
Data Analyst - Remote UK Retail Insights & Dashboards in London employer: Beauclair Data
Contact Detail:
Beauclair Data Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Remote UK Retail Insights & Dashboards in London
✨Tip Number 1
Network like a pro! Reach out to people in the data analytics field, especially those who work in retail. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on a job or can give you insider tips.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in R or Python. Include any dashboards or insights you've developed, especially if they relate to retail. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions and scenarios. Practice explaining your thought process clearly, as communication is key in this role. We want to see how you approach problems and convey your findings.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Data Analyst - Remote UK Retail Insights & Dashboards in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your STEM degree and any coding experience you have in R or Python. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention your understanding of the UK retail environment and how it relates to the insights you can provide. It’ll make you stand out!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate good communication skills, so make sure your writing reflects that. Avoid jargon unless it’s necessary!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Beauclair Data
✨Know Your Data Tools
Make sure you brush up on your R and Python skills before the interview. Be ready to discuss specific projects where you've used these languages to analyse data or create dashboards. This will show that you’re not just familiar with the tools, but that you can apply them effectively.
✨Understand the Retail Landscape
Since the role focuses on UK retail insights, do some homework on current trends in the industry. Familiarise yourself with key metrics and challenges retailers face today. This knowledge will help you demonstrate your understanding of the sector and how your skills can contribute.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems or analyse data sets. Practice articulating your thought process clearly. Use the STAR method (Situation, Task, Action, Result) to structure your answers, showcasing your analytical skills and problem-solving abilities.
✨Showcase Your Communication Skills
As a Data Analyst, you'll need to convey complex insights in an understandable way. Prepare examples of how you've successfully communicated findings to non-technical stakeholders. This will highlight your ability to bridge the gap between data and decision-making.