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- Tasks: Join a fashion supplier as a Data Analyst, shaping data-driven decisions in trading and pricing.
- Company: Mode Search partners with a leading fashion supplier known for its trend-led approach in the UK market.
- Benefits: Enjoy a fast-paced environment with opportunities for growth and collaboration across teams.
- Why this job: Be at the forefront of fashion analytics, turning complex data into impactful insights that drive strategy.
- Qualifications: Proficiency in SQL and Python, with a knack for data analysis and commercial thinking required.
- Other info: This role offers a unique blend of data engineering and commercial strategy in a vibrant industry.
The predicted salary is between 36000 - 60000 £ per year.
Mode Search is supporting a leading fashion supplier in the search for a dynamic and commercially minded Data Analyst to join their growing team.
This is an excellent opportunity to join a fast-paced, trend-led fashion business with a strong presence across major UK retail channels. The successful candidate will play a key role in shaping how data drives commercial decision-making across trading, pricing, and supply chain operations.
The Data Analyst will be responsible for designing, building, and scaling data solutions to support the business’s commercial and trading functions. The role sits at the intersection of data engineering, analytics, and commercial strategy — ideal for someone who thrives on translating complex data into actionable insights.
Key Responsibilities
- Build and maintain robust data pipelines to support trading, pricing, and product availability decisions
- Develop and maintain data models that provide meaningful insight into supplier performance, customer demand, and margin analysis
- Collaborate with trading, commercial, and supply chain teams to deliver high-impact dashboards and reporting tools
- Use SQL and Python (or a similar language) to automate processes and improve reporting efficiency
- Apply commercial thinking to interpret trends and performance data, helping to guide strategic decisions
- Ensure high standards of data accuracy and consistency across all reporting sources
- Conduct ad hoc analysis to support trading initiatives and category performance reviews
- Utilise BI tools (such as Power BI, Looker, or Tableau) to present clear, data-driven insights to stakeholders
To apply, please send your CV to
Due to the high volume of applications, only shortlisted candidates will be contacted.
Data Analyst - Womenswear Fashion Supplier employer: Mode Search LTD
Contact Detail:
Mode Search LTD Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Womenswear Fashion Supplier
✨Tip Number 1
Familiarise yourself with the latest trends in womenswear fashion and how data analytics is shaping the industry. This knowledge will help you speak confidently about the role and demonstrate your passion for both data and fashion during any discussions.
✨Tip Number 2
Brush up on your SQL and Python skills, as these are crucial for the role. Consider working on small projects or exercises that showcase your ability to automate processes and improve reporting efficiency, which can be a great talking point in interviews.
✨Tip Number 3
Get comfortable using BI tools like Power BI, Looker, or Tableau. Create sample dashboards that highlight your ability to present data-driven insights clearly. This practical experience will set you apart and show your readiness to contribute from day one.
✨Tip Number 4
Network with professionals in the fashion and data analytics sectors. Attend relevant events or join online forums where you can connect with others in the field. Building relationships can lead to valuable insights and potential referrals for the job.
We think you need these skills to ace Data Analyst - Womenswear Fashion Supplier
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly read the job description. Understand the key responsibilities and required skills for the Data Analyst position at Mode Search, focusing on data engineering, analytics, and commercial strategy.
Tailor Your CV: Customise your CV to highlight relevant experience in data analysis, SQL, Python, and BI tools. Emphasise any previous roles where you translated complex data into actionable insights, as this is crucial for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for fashion and data analysis. Mention specific examples of how you've used data to drive commercial decisions in past roles, aligning your experience with the company's needs.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or inconsistencies. A polished application reflects attention to detail, which is essential for a Data Analyst role.
How to prepare for a job interview at Mode Search LTD
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in SQL and Python during the interview. Be prepared to discuss specific projects where you've used these languages to automate processes or improve reporting efficiency.
✨Demonstrate Commercial Awareness
Since the role requires a commercial mindset, be ready to discuss how you've applied data insights to drive business decisions in previous roles. Think of examples where your analysis directly influenced trading or pricing strategies.
✨Prepare for Data-Driven Questions
Expect questions that assess your ability to interpret complex data. Practice explaining how you would build data models or dashboards that provide insights into supplier performance and customer demand.
✨Familiarise Yourself with BI Tools
As the role involves using BI tools like Power BI, Looker, or Tableau, it’s beneficial to have a basic understanding of these platforms. If possible, prepare a small presentation or example of how you would use these tools to present data-driven insights.
