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- Tasks: Design and build data solutions to drive trading and pricing decisions.
- Company: Join a leading fashion supplier with a strong UK retail presence.
- Benefits: Enjoy a fast-paced environment and the chance to shape commercial strategies.
- Why this job: Perfect for data enthusiasts wanting to impact the fashion industry.
- Qualifications: Experience with SQL, Python, and BI tools is essential.
- Other info: Remote work options may be available; apply with your CV!
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 Trading Analytics Engineer 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 Trading Analytics Engineer 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 info@modesearch.co.uk. Due to the high volume of applications, only shortlisted candidates will be contacted.
Trading Analytics Engineer - 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 Trading Analytics Engineer - 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 how your skills can contribute to the company's commercial strategies.
✨Tip Number 2
Brush up on your SQL and Python skills, as these are crucial for the role. Consider working on personal projects or contributing to open-source projects that involve data analysis to showcase your technical abilities.
✨Tip Number 3
Network with professionals in the fashion and analytics sectors. Attend industry events or join relevant online communities to connect with people who can provide insights or even refer you to opportunities within the company.
✨Tip Number 4
Prepare to discuss specific examples of how you've used data to drive decision-making in previous roles. Highlight any experience you have with BI tools like Power BI or Tableau, as this will demonstrate your ability to present data-driven insights effectively.
We think you need these skills to ace Trading Analytics Engineer - Womenswear Fashion Supplier
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Trading Analytics Engineer. Familiarise yourself with data engineering, analytics, and commercial strategy to tailor your application accordingly.
Highlight Relevant Skills: Emphasise your experience with SQL, Python, and BI tools like Power BI or Tableau in your CV. Provide specific examples of how you've used these skills to drive commercial decisions or improve reporting efficiency.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for fashion and data analytics. Explain how your background aligns with the company's goals and how you can contribute to their trading and commercial functions.
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 crucial for a role that involves data accuracy and consistency.
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 skills to automate processes or improve reporting efficiency.
✨Understand the Fashion Industry
Familiarise yourself with current trends in the womenswear fashion sector. Being able to discuss how data influences trading and pricing decisions in this context will demonstrate your commercial awareness.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to data analysis and trading strategies. Practising how to approach these scenarios can help you articulate your thought process clearly.
✨Emphasise Collaboration Skills
Since the role involves working closely with trading, commercial, and supply chain teams, be ready to share examples of how you've successfully collaborated with others in previous roles to achieve common goals.
