At a Glance
- Tasks: Analyse data to improve supply chain efficiency and enhance customer experience.
- Company: Join N Brown, a leading UK digital retail platform with a focus on inclusivity.
- Benefits: Enjoy hybrid working, 24 days holiday, annual bonuses, and mental health support.
- Other info: Be part of a diverse team in a supportive and inclusive culture.
- Why this job: Make a real impact by uncovering insights that drive actionable outcomes.
- Qualifications: Experience with SQL and PowerBI, strong problem-solving skills, and data analysis expertise.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for a Data Analyst to join our Supply Chain team! As a Data Analyst within our Supply Chain team, you'll be an active member of the MI team, providing information and insight, supporting ongoing projects and contributing towards the management of a c.1000 colleague team, fulfilling c.34m items globally to our customers within an operational budget of £85M. You'll monitor key KPIs and dashboards daily, identifying trends, issues, and opportunities. You'll extract and analyse data across multiple systems, creating new dashboards to support a fast-paced environment. Working closely with the wider team, you'll contribute to both strategic and tactical projects, proactively uncovering insights that enhance customer experience, improve efficiency, and drive actionable outcomes across the business. Please note – this role will be based at our Warehouse in Shaw (Oldham).
Responsibilities
- To actively review and understand trends in data, including but not limited to; carrier reporting, customer feedback metrics and operational reporting. Sharing any concerns with business owners in a clear and actionable manner.
- Using insight to improve overall service and cost metrics.
- To support and assist in defining and writing new reports and data sets for Supply Chain areas as required/requested to aid analysis and monitoring of core processes. Using tools such as SQL, PowerBI and Excel.
- To support in maintaining and developing new functionalities in existing MI/BI processes, as well as exploring new ways to deliver data to the end user with the goal of reducing reports, increasing self-serve MI and increasing call to action.
- To support Operations, Distribution, Engineering, Fraud and Customer Service teams with data and automation to simplify processes. Including but not limited to; Macros, data exporting, internal automation tool, stored procedures, etc.
- To actively look for insight in data outside of usual reports, on own initiative, with aim of improving service/costs or CSAT. Working with others to implement opportunities.
- Assisting in actively managing the automation and Data visualisation suite. This includes monitoring and actively maintaining load on internal servers and the Power BI Suite, maintaining acceptable response times and assisting in innovation.
- Finding new and inventive ways to improve or renew aging infrastructure within the department.
Skills and experience
- Previous experience of working with SQL/PowerBI required.
- Strong problem solving and systems analysis skills.
- Strong interpersonal/communication skills.
- Understanding of Supply Chain processes and best practice beneficial, but not essential.
- Strong understanding of Microsoft Excel.
- Ability to present work, with a clear understanding of the outcome and any actions available.
- This is a data centric role, therefore an ability to process map, analyse trends in large datasets and problem solve is a necessity.
- Experience in SQL & or PowerBI is also required.
- Being commercially aware of current internal and external trends.
What's in it for you?
- Hybrid working (3 days in the office at a minimum).
- 24 days holiday (+ 8 bank holidays).
- Annual bonus scheme.
- Enhanced maternity and adoption leave.
- Company pension with up to 8% N Brown contribution.
- Mental Health support both internally and externally, including access to our wellbeing champions and counselling services.
- A range of financial wellbeing support.
- Stream - a financial wellbeing tool that helps you track your pay, access earnings early and manage your money with confidence.
- Colleague discount across all N Brown brands.
- Onsite café with subsidised rates and local restaurant discounts!
- Life Assurance.
- Paid volunteer time – all our colleagues can take a full day paid to volunteer for a charity of their choice.
About N Brown
N Brown is a leading UK digital retail platform for clothing, footwear, home and technology, headquartered in Manchester and employing over 1,200 people nationwide. Through our strategic retail brands JD Williams, Jacamo and Simply Be and our unique payments offering, we exist to champion inclusivity and serve the underserved. Our customers are our passion, and we take great pride in delivering products that ensure they can look and feel amazing, without compromising on choice, value and accessibility. We're committed to building a diverse workforce and creating an inclusive environment that values equality for all. Our vision is that by 'championing inclusion, we'll become the most loved and trusted fashion retailer'. Diversity, Equity, Inclusion and Belonging are, therefore, at the heart of our culture.
In May 2024 we were delighted to be named one of The Sunday Times Best Places to Work 2024. We work hard to create a happy and inclusive culture for everyone and we're so proud to have made this list - as voted for by our very own colleagues!
Our promise to you
We're an equal opportunity employer and value diversity. We do not discriminate based on race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.
Application note
Please know your application is being reviewed by a real human being, not AI. We value your interest in joining us and appreciate you taking the time to submit your application.
What happens when you apply
As soon as we receive your application, we'll send you an email to let you know. We always aim to come back to you as soon as possible with an update and we really appreciate you taking the time to apply for a role with us. Good luck!
Logistics Data Analyst in Shaw employer: JD Williams
Contact Detail:
JD Williams Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Logistics Data Analyst in Shaw
✨Tip Number 1
Network like a pro! Reach out to people in the logistics and data analysis field on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Prepare for those interviews! Research common questions for data analyst roles and practice your answers. Be ready to discuss your experience with SQL, PowerBI, and Excel, and think of examples where you've used data to drive decisions. Confidence is key!
✨Tip Number 3
Show off your skills! Create a portfolio showcasing your data visualisation projects or any dashboards you've built. This will give you an edge and demonstrate your ability to turn data into actionable insights, which is exactly what we’re looking for.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at N Brown. Good luck!
We think you need these skills to ace Logistics Data Analyst in Shaw
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Logistics Data Analyst role. Highlight your experience with SQL, PowerBI, and Excel, and showcase any relevant projects that demonstrate your data analysis skills.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how your skills can contribute to our Supply Chain team. Keep it concise but impactful!
Showcase Your Problem-Solving Skills: In your application, don’t forget to mention specific examples where you've solved complex problems using data. We love seeing how you’ve turned insights into actionable outcomes!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we promise a real human will review your application – not AI!
How to prepare for a job interview at JD Williams
✨Know Your Data Tools
Make sure you're well-versed in SQL, PowerBI, and Excel. Brush up on your skills and be ready to discuss how you've used these tools in past roles. Being able to demonstrate your proficiency will show that you're prepared for the technical aspects of the job.
✨Understand Supply Chain Dynamics
Familiarise yourself with supply chain processes and best practices. Research current trends in logistics and think about how they might apply to the role. This knowledge will help you engage in meaningful conversations during the interview and show your genuine interest in the field.
✨Prepare Insightful Questions
Think of questions that reflect your understanding of the role and the company. Ask about their current projects or challenges they face in data analysis. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
✨Showcase Problem-Solving Skills
Be ready to discuss specific examples where you've identified trends or solved problems using data. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will highlight your analytical skills and ability to drive actionable outcomes.