SENIOR (GLOBAL LOGISTICS) DATA ANALYST

Working for a complex, global manufacturer of hardware and software products, this is a fantastic role for someone who enjoys driving performance, automation, efficiency and cost savings within a challenging, fast paced environment.
This role is driven by data, where the data is front and centre in all decision making. The ability to manipulate data sets, deriving an informed decision by interrupting what the data is telling you, is critical to this role.
For someone who is driven by data, comfortable leading change, enjoys a fast-paced global environment, with excellent commercial acumen this is an opportunity you need to investigate. It offers a fantastic working environment, brilliant people centric culture and incredibly rewarding work

It’s ideal for someone who has:

• Strong analytic & analysis skills, with the ability to prove (data led) where efficiencies can be gained. Must have the ability to work with large data sets, deriving and interpreting the information to meet the business need. Please note 50% of the work you do will be underpinned by data.
• Strong business acumen, leadership, and drive. With the ability to identify and successfully drive logistics solutions internally across multiple teams, and externally with logistics partners.
• Utilize & embrace automation for tasks which are repetitive, ideally with knowledge of creating Power BI dashboards.
• Strong communication skills, with the ability to simplify and relay complex information succinctly both internally and externally.
• Enjoy working on their own initiative, with the ability to identify, recommend and expedite solutions.
• Monitor and engage with external logistics partners, to monitor and improve current service but also identify cost savings going forward.
• Working closely with Procurement teams to provide leadership & specialist logistics knowledge as part of Global RFI, RFP, RFQ process. Delivering against milestones and improving process outcomes.
• Enjoy multitasking, with the ability to prioritize your own workload. You will have multiple data requests from different divisions within the company, and you need to balance the day-to-day tasks with varying requests/projects.

Please refer the Job description for details