Data Analyst Logistics

Next Careers; Wakefield; Hybrid; GBP 40,000 - 50,000; Full time

Job summary

A leading UK fashion retailer seeks a Data Analyst to join their dynamic Logistics Data Analytics team at their distribution centre. The role entails developing reporting tools, performing data analysis, and collaborating across teams to improve service levels. Applicants should have strong skills in SQL and Python, as well as experience with data visualization tools like Tableau or Power BI. This position offers hybrid working arrangements, providing a great work-life balance.

Qualifications

• Proficiency in SQL and Python for data extraction, transformation, and analysis.
• Strong data visualisation skills using tools like Tableau or Power BI.
• Ability to communicate complex data insights succinctly.

Responsibilities

• Analyze and report on daily and weekly performances and volumes.
• Understand drivers behind unexpected volume variances.
• Report on daily and weekly performance KPIs to assist logistics.

Skills

Proficiency in SQL

Python for data extraction

Data visualisation skills

Knowledge of Tableau or Power BI

Ability to analyze data under pressure

Tools

Tableau

Power BI

Job description

About The Role

About The Role:

At Next not only are we one of the UKs largest fashion retailers but were 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. Whats more were growing. Fast. And its the kind of growth and investment that is exciting for everyone in our business.

Its 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 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 role offers hybrid working

Employment Type: Full-Time

Experience: years

Vacancy: 1