At a Glance
- Tasks: Analyse eCommerce operations and optimise financial processes for a global fashion brand.
- Company: Join a renowned fashion brand with over 100 years of history and a global presence.
- Benefits: Competitive daily rate, hybrid working, and potential for contract extension.
- Other info: Opportunity for career growth in a fast-paced, innovative industry.
- Why this job: Make an impact in a dynamic environment while enhancing your analytical skills.
- Qualifications: Experience in finance, logistics, or eCommerce; strong analytical skills required.
The predicted salary is between 36000 - 60000 £ per year.
Ecommerce Operations Analyst / Ecommerce Financial Analyst / Ecommerce Ops Analyst
(Other relevant titles: Suppy Chain Analyst / Logistics Analyst / Ecommerce Operations Analyst / Fulfillment Analyst / Operations Analyst/ Inventory Analyst)
Our client is a global well-known fashion brand:
-Brand with 100 + years history;
-Over 3000 stores and 15,000 + staff across 100 countries;
-Expanding globally with turn over of $7 billions
They are looking for an e-commerce ops analyst to join their team and ensure accurate financial reporting and insightful analysis to support the business:
-Analyse eComm operational flows, performance and manage financial processes related to S&OP and operation
-Monitor and optimise distribution and supply chain operations
-Track key performance indicators (KPIs) such as delivery times, customer
experience and order accuracy
-Identify and recommend improvements in processes
-Budget planning, PO management, overall cost control and reporting, develop cost models for distribution strategies
-Forecasting and reporting within ecommerce
Requirement and Experience:
• Experience in finance, distribution, logistics, supply chain or ecommerce
• Strong analytical and problem-solving skill. Advanced Excel with experience in SQL, Python (a plus) and Looker (a plus)
• ERP systems such as SAP or Oracle is a plus
• Knowledge of supply chain and distribution processes, including freight,
warehousing, and inventory management
• Experience with financial modelling and cost analysis tools is a plus
Initially 6 months full time contract and very likely to extend afterwards. Inside IR35 contract and we are open to discuss on the daily rate depending on experience. Hybrid working near London or Northampton area.
Ecommerce Data Analyst in London employer: Widen the Net | B Corp
Join a prestigious global fashion brand with over a century of history, where your role as an Ecommerce Data Analyst will be pivotal in driving operational excellence and financial accuracy. Enjoy a dynamic work culture that fosters innovation and collaboration, alongside opportunities for professional growth within a company that values its employees and is committed to expanding its global footprint. With a hybrid working model near London or Northampton, you can achieve a healthy work-life balance while contributing to a brand that prioritises both customer experience and employee development.
StudySmarter Expert Advice🤫
We think this is how you could land Ecommerce Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in e-commerce or supply chain. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your analytical prowess and problem-solving skills. Use real examples from your past work to demonstrate how you’ve optimised processes or improved KPIs.
✨Tip Number 3
Ace the interview! Research the company’s operations and come prepared with questions that show your interest in their e-commerce strategies. Highlight your experience with tools like SQL and Excel, and how they can benefit their team.
✨Tip Number 4
Apply through our website! We make it super easy for you to find and apply for roles that match your skills. Plus, it shows you’re serious about joining our team and helps us keep track of your application.
We think you need these skills to ace Ecommerce Data Analyst in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Ecommerce Data Analyst role. Highlight your experience in finance, distribution, and supply chain, and don’t forget to showcase your analytical skills and any relevant tools you’ve used like SQL or Python.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Mention specific examples of how you've optimised processes or improved KPIs in your previous roles.
Show Off Your Analytical Skills:Since this role is all about analysis, make sure to include any projects where you’ve used data to drive decisions. Whether it’s forecasting or financial modelling, we want to see how you’ve made an impact!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Widen the Net | B Corp
✨Know Your Numbers
As an Ecommerce Data Analyst, you'll be dealing with a lot of data. Brush up on your financial metrics and KPIs relevant to e-commerce operations. Be ready to discuss how you've used data to drive decisions in previous roles.
✨Showcase Your Analytical Skills
Prepare examples that highlight your analytical and problem-solving skills. Think about specific challenges you've faced in logistics or supply chain management and how you tackled them using tools like Excel, SQL, or Python.
✨Understand the Brand
Research the fashion brand thoroughly. Understand their market position, recent news, and their approach to e-commerce. This will not only help you answer questions but also show your genuine interest in the company.
✨Ask Insightful Questions
Prepare thoughtful questions about their e-commerce operations and future strategies. This shows you're not just interested in the role but also in how you can contribute to their success in the long run.
