Data Analyst

·
Full time
Location: Crewe
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Job offered by: kawazu designs
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Category: IT & Technology
Company description: GXO Logistics Supply Chain Inc. Job description: Do you understand a logistics operation and looking to develop and utilise your MI & Data skills? Do you enjoy problem-solving and working within a fast-paced environment? If you have answered yes to any of these questions, we may have the role for you We’re looking for a

Logistics Data Analyst

to join our site in

Crewe , supporting the site’s reporting function, for smooth running of both internal & external operations, network planning and building the contract’s capacity. Joining us on a permanent, full-time basis, you will predominately work Monday to Friday, 08:00 – 16:00 , this is a fully on-site based role, so you will need to be able to commute to our Crewe site. Pay, benefits and more: We’re looking to offer a salary of up to

£35,000

per annum. In addition, we offer 25 days holiday (plus bank holidays), as well as the option to buy additional days. You’ll have access to a variety of high street discounts, as well as a cycle to work scheme, a workplace pension, and many other perks. What you’ll do on a typical day: Analyse and model volumetric data to assist with key decision making and improve the efficiency of the network in both warehouse and transport activities. Work in collaboration with the Planning Teams to develop modelling tools to assess volume forecast and the provide strategic input with optimisation. Build trusted relationships and communicate effectively with internal and external key stakeholders Support & develop process improvements and Continuous Improvement methodology across the team. What you need to succeed at GXO Distribution & Warehousing planning & MI Analyst experience High degree of organisational skills and ability to research and review data. Experience of producing accurate, timely reporting with meaningful analytical commentary. Data analysis, MI and modelling skills using various TMS/WMS Systems We engineer faster, smarter, leaner supply chains.

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