Data Coordinator - Fashion

Office Angels
London
1 week ago
Create job alert

Data Coordinator - Fashion *Advertised by OA West End


Join our client's dynamic team as a Data Coordinator, where you will play a critical role in managing and optimising key data. This permanent position offers an exciting opportunity to work collaboratively with both internal and external teams, ensuring that our data processes run smoothly and efficiently. In this role, our client needs someone who has excellent Excel skills (Pivot tables, V-lookups).


JOB TITLE:Data Coordinator


INDUSTRY:Retail/Fashion


CONTRACT:Permanent


SALARY:£27,000-£30,000


Responsibilities:
As a Data Coordinator, your key responsibilities will include:


  1. Creating brand style buy plans from our seasonal collection booklet, including style code, description, colour, image, fabric composition, and supplier selection.
  2. Developing style SKU information templates and uploading them into the SAP system.
  3. Assigning category size ratios once orders are confirmed to facilitate smooth operations.
  4. Raising official SAP purchase orders and sending them to the supply base.
  5. Updating and maintaining official system purchase orders for accuracy.
  6. Checking and maintaining essential reports, such as Free to Sell and shipping summary reports, to support business operations.
  7. Ensuring data integrity within the SAP system through regular checks and updates.
  8. Assisting in creating and maintaining key report functions that drive performance.
  9. Uploading seasonal product data onto our sales platform tool (NuOrder).
  10. Uploading product copy material onto our e-commerce platforms.
  11. Capturing and actioning any seasonal collection changes within the SAP system.


Skills & Qualifications:
To succeed in this role, you will need:


  1. Intermediate Excel Skills:A solid understanding of basic Excel functions, along with proficiency in formulas, functions, charts, tables, conditional formatting, data validation, and pivot tables.
  2. Strong Attention to Detail:Ability to maintain accuracy and precision in your work.
  3. Good Organisation & Timekeeping Skills:Follow a critical path to ensure timely task completion.
  4. Clear Communication:The ability to convey information confidently and clearly.
  5. Team Player:Work collaboratively within a team, offering support and contributions where needed.
  6. Adaptability:Thrive in a fast-paced, ever-changing business environment.
  7. Self-Motivation:A determined attitude to make a positive difference every day.

#J-18808-Ljbffr

Related Jobs

View all jobs

Data Coordinator - Fashion

Unit Coordinator

Marketing Coordinator

Technology Project Coordinator

Production Scheduling Coordinator

New Enquiries Coordinator

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.

Data Science Leadership for Managers: Strategies to Motivate, Mentor, and Set Realistic Goals in Data-Driven Teams

Data science has become a linchpin in modern business, transforming oceans of raw data into actionable insights that guide strategy, product development, and personalised customer experiences. With this surge in data-centric operations, the need for effective data science leadership has never been more critical. Guiding a team of data scientists, analysts, and machine learning engineers requires not only technical acumen but also the ability to foster collaboration, champion ethical practices, and align complex modelling efforts with overarching business goals. This article provides practical guidance for managers and aspiring leaders aiming to excel in data-driven environments. By exploring strategies to motivate data science professionals, develop mentoring frameworks, and set achievable milestones, you will be better prepared to steer your team towards meaningful, evidence-based outcomes.

10 Essential Books to Read to Nail Your Data Science Career in the UK

Data science continues to be one of the most exciting and rapidly evolving fields in tech. With industries across the UK—ranging from finance and healthcare to e-commerce and government—embracing data-driven decision-making, the demand for skilled data scientists has soared. Whether you're a recent graduate looking for your first role or a professional aiming to advance your career, staying updated through books is crucial. In this article, we explore ten essential books every data science job seeker in the UK should read. Each book provides valuable insights into core concepts, practical applications, and industry-standard tools, helping you build skills employers are actively looking for.