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- Tasks: Join a dynamic team to build data solutions for trading and pricing in fashion.
- Company: Mode Search supports a leading fashion supplier with a strong UK retail presence.
- Benefits: Work in a fast-paced environment with opportunities for growth and creativity.
- Why this job: Shape commercial decisions through data and thrive in a trend-led culture.
- Qualifications: Experience with SQL, Python, and BI tools is essential; passion for data is a must.
- Other info: Ideal for those who love translating complex data into actionable insights.
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
info@modesearch.co.uk
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 online forums where you can connect with others who work in trading analytics, which could lead to valuable insights and potential referrals.
✨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 to thoroughly understand the responsibilities of a Trading Analytics Engineer. Familiarise yourself with data engineering, analytics, and commercial strategy as these are key components of the role.
Tailor Your CV: Customise your CV to highlight relevant experience in data pipelines, SQL, Python, and BI tools. Emphasise any previous roles where you translated complex data into actionable insights, as this is crucial for the position.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for fashion and data analytics. Explain how your skills align with the company's needs and how you can contribute to their trading and commercial strategies.
Highlight Relevant Projects: If you have worked on projects involving data modelling, dashboard creation, or ad hoc analysis, be sure to mention these in your application. Provide specific examples of how your work has driven decision-making or improved efficiency.
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.
✨Demonstrate Commercial Awareness
Since the role requires a strong commercial mindset, be ready to discuss how you've applied data insights to drive business decisions in previous roles. Use examples that illustrate your understanding of trading, pricing, and supply chain operations.
✨Prepare for Data-Driven Questions
Expect questions that assess your ability to interpret complex data and translate it into actionable insights. Practice explaining your thought process when analysing trends and performance data, as this will be crucial for the role.
✨Familiarise Yourself with BI Tools
As the position 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 few examples of how you’ve used such tools to create dashboards or reports in the past.
