Data Analyst - Logistics at Next Plc

Wakefield, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

11 Apr, 26

Salary

0.0

Posted On

11 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Data Visualization, Tableau, Power BI, Machine Learning, Analytical Skills, Communication, Attention to Detail, Collaboration, Data Analysis, Reporting, Dashboard Development, Project Appraisal, Performance Analysis, Logistics

Industry

Description

About The Role: At Next, not only are we one of the UK’s largest fashion retailers, but we’re also one of the largest listed companies. Selling our own NEXT brand as well as hundreds of world-famous brands, in the UK and worldwide. What’s more, we’re growing. Fast. And it’s the kind of growth and investment that is exciting for everyone in our business. It’s safe to say our logistics operation is, well, huge. With 11 million square feet of warehouse floor space. So, managing these operations in an efficient, cost effective way is about as important as it gets. Making sure our customers have a seamless experience starts here. We work closely with operations at all times. Making this about as hands on as can be. About the job: Based at our distribution centre in South Elmsall, West Yorkshire, this is a superb opportunity to join our dynamic Logistics Data Analytics team as a Data Analyst. This team is responsible for delivering analytical support to key stakeholders across the logistics operation & various other areas of the business for a variety of purposes including: Developing a suite of Live reporting to enhance output and reduce failures Working with new tools to take reporting and analytics to the next level Providing detailed analytical support on the feasibility of project appraisals Developing and maintaining dashboards, reports, and visualisations that provide stakeholders with clear and concise insights derived from a large array of data sources Providing data and analytical support for the pre and post implementation of our 3rd Party (Total Platform) Warehoused Clients Collaborating with cross-functional teams to define key business questions and objectives Designing and executing data analyses to uncover patterns, trends, and opportunities for improving service levels and output Be the bridge between what the business needs and how it gets delivered through reporting. Primary responsibilities: Analyse & report on daily and weekly performances and volumes Understand the drivers behind unexpected volume variances, and how this impacts the service we offer Provide support during peak business periods to understand the impact on warehouse throughput and capacity Report on daily and weekly performance KPIs to assist and support the warehouse and logistics operations in managing performance Playing a part in ensuring that the right stock is delivered to our customers on time and identifying points of improvement Support the operation and senior management with ad-hoc requests to support business growth About You: Proficiency in SQL/Python for data extraction, transformation, and analysis. Strong data visualisation skills using tools such as Tableau, Power BI, or similar. Some experience of ML/AI would be preferable but not essential Stay up-to-date with industry trends and best practices in analytics Ability to communicate often complex data and insights to individuals and groups of people, honing in on key findings and clearly and succinctly answer the “so what?” question Interested in how business works and desire to improve our performance Ability to deliver under pressure Attention to detail without losing bigger picture This rolel offers hybrid working #LI-DC1 #LI-Hybrid

Responsibilities

The Data Analyst will analyze and report on daily and weekly performances and volumes, providing insights to improve service levels and output. They will also support the operation and senior management with ad-hoc requests to facilitate business growth.