Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse sales data, set KPIs, and report to stakeholders.
- Company: Join a leading retail client expanding their Finance team.
- Benefits: Enjoy flexible working options and potential corporate perks.
- Why this job: Make an impact by driving sales insights in a dynamic environment.
- Qualifications: Experience in data analysis, proficiency in SQL and Excel required.
- Other info: Strong communication and stakeholder management skills are essential.
The predicted salary is between 28800 - 48000 £ per year.
One of our key clients is looking to expand their Finance team and is seeking a Data Analyst to concentrate on sales within their stores. The role involves analysing key sales data across UK stores and outlets, setting KPIs, and reporting to core stakeholders across the business.
Applicants should have experience in a similar environment, be proficient in SQL and Excel, and capable of creating dashboards. Strong stakeholder management skills and effective communication abilities are essential.
Data Analyst - Retail employer: TN United Kingdom
Contact Detail:
TN United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Retail
✨Tip Number 1
Familiarise yourself with the retail sector and current trends in sales analytics. Understanding the specific challenges and opportunities within this industry will help you speak confidently about how your skills can contribute to the team.
✨Tip Number 2
Brush up on your SQL and Excel skills, focusing on functions and features that are particularly relevant for data analysis in retail. Consider creating sample dashboards or reports to showcase your abilities during interviews.
✨Tip Number 3
Prepare examples of how you've successfully managed stakeholder relationships in previous roles. Being able to demonstrate your communication skills and how you've influenced decisions with data will set you apart.
✨Tip Number 4
Network with professionals in the retail analytics space. Attend industry events or join online forums to connect with others in the field, which could lead to valuable insights and potential referrals for the job.
We think you need these skills to ace Data Analyst - Retail
Some tips for your application 🫡
Understand the Role: Read the job description carefully to understand the specific requirements for the Data Analyst position. Focus on the skills mentioned, such as SQL, Excel, and dashboard creation, and think about how your experience aligns with these.
Tailor Your CV: Customise your CV to highlight relevant experience in data analysis, particularly in a retail or sales environment. Emphasise your proficiency in SQL and Excel, and include any examples of dashboards you have created.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of the role and your enthusiasm for the company. Mention your experience with stakeholder management and effective communication, as these are key aspects of the job.
Proofread Your Application: Before submitting, thoroughly proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at TN United Kingdom
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with data analysis, particularly in a retail context. Bring examples of how you've used SQL and Excel to derive insights from sales data, and be ready to explain the impact of your findings on business decisions.
✨Demonstrate Dashboard Creation
Since creating dashboards is a key part of the role, consider bringing a portfolio or examples of dashboards you've created in the past. Be ready to explain the tools you used and how these dashboards helped stakeholders understand the data.
✨Prepare for Stakeholder Management Questions
Expect questions about your experience working with stakeholders. Think of specific instances where you effectively communicated complex data insights to non-technical team members, and how you ensured their needs were met.
✨Know the Business and Its KPIs
Research the company and its sales performance metrics. Understanding their key performance indicators (KPIs) will allow you to tailor your responses and demonstrate your genuine interest in contributing to their success.
