Process Control Specialist/ Logistics Analyst - Night Shift, EU Central Flow - Strategic Process Inn

Amazon TA
East Tilbury
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Geospatial Data Scientist

Head of Data Science -Telematics

Senior Geospatial Data Scientist

Digital and Technology Solutions Apprenticeship - Artificial Intelligence Software Engineering

Digital and Technology Solutions Apprenticeship - Artificial Intelligence Software Engineering

Digital and Technology Solutions Apprenticeship - Artificial Intelligence Software Engineering

Support FC Leadership by providing relevant expertise to help them manageentire European flow network ECFT is able to reduce defects in the process andfulfillment network.

customer fulfillment network. Carry out deep dive analysis into improvement opportunities, promoting andTrack, communicate, and influence key performance indices such as customerrisk, compliance with flow planning, and performance to site level KPIs- Take part in coaching initiatives to share your knowledge of the area withwill work together with Operations leaders to plan, then execute a shift whileescalating risks or standard work deviations to senior managers. As part of this role you will need to be flexible to work on shift patternsincluding night, and weekend working.

### You are proficient in English (European Framework level B2)- You are a problem solver, comfortable working with data to make criticalFluency in another European language- Able to show experience working in remote centralized teams- Data science skills including SQL- Problem solving and analytical skills, ability to analyse numerical datapoints, and work with data to assess situations and take appropriate action.

of your data is a longstanding top priority for Amazon. how we collect, use and transfer the personal data of our candidates.

disability, age, or other legally protected status. disabilities who would like to request an accommodation, please visit

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.