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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: Ideal for those passionate about fashion and eager to make a difference through data.
The predicted salary is between 28800 - 48000 £ 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
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 the sector 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
Network with professionals in the fashion and data analytics fields. Attend industry events or join online forums where you can connect with others who work in similar roles. This can provide valuable insights and potentially lead to referrals.
✨Tip Number 4
Prepare to discuss specific examples of how you've used data to drive commercial decisions in past roles. Highlight your experience with BI tools like Power BI or Tableau, and be ready to explain how your insights have positively impacted business outcomes.
We think you need these skills to ace Data Analyst - Womenswear Fashion Supplier
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, particularly in the fashion industry. Emphasise your skills in SQL, Python, and any BI tools you've used, as these are crucial for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for fashion and data analysis. Explain how your background aligns with the responsibilities of the Data Analyst position and how you can contribute to the company's success.
Showcase Your Analytical Skills: In your application, provide examples of past projects where you built data pipelines or developed dashboards. Highlight how your insights led to commercial decisions or improved efficiency.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors. A polished application reflects your 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 applying commercial thinking, be ready to discuss how you've interpreted trends and performance data in previous roles. Use examples that illustrate your ability to guide strategic decisions based on data insights.
✨Prepare for Data-Driven Discussions
Expect to engage in conversations about data pipelines and models. Brush up on your knowledge of building and maintaining robust data solutions, and be ready to explain how these have impacted trading and pricing decisions in your past experiences.
✨Familiarise Yourself with BI Tools
As the role involves presenting insights using BI tools like Power BI, Looker, or Tableau, ensure you can discuss your experience with these platforms. Prepare to showcase how you've created dashboards or reporting tools that have driven business decisions.
