Process Control Specialist/ Logistics Analyst - NightShift,EU Central Flow (Apply in 3 Minutes)

Amazon TA
Tilbury
4 months ago
Applications closed

Related Jobs

View all jobs

Software Engineer - ML Developer Tools

Machine Learning Engineer

Clinical Data Scientist

Clinical Data Scientist

Data Scientist – PwC | Visa Sponsorship Available (UrgentSearch)

Data Scientist, MSAT

What we do:European Central Flow team (ECFT) hasfourprimary goals that all of our efforts ultimately contributeto:-Support FC Leadership by providing relevantexpertise to help themmanage their area of the fulfillmentbusiness. ECFT Process ControlSpecialists partner with seniorleaders in our fulfillment centersto deliver world classoperational standards that create greatoutcomes forcustomers.- Simplify, Standardize, and ImproveProcessesby using our expertise and strategic position withinAmazonfulfillment to innovate on behalf of the customer everyday.Through providing standard ways of working that span theentireEuropean flow network ECFT is able to reduce defects in theprocessand improve the speed at which customers receivetheirorder.- Drive business goals such as overall volumeplan,peerless customer experience, and reducing the time betweenacustomer clicking “Buy” and receiving their order.-Making liveseasier for our operations partners by reducingnecessary processsteps in the pursuit of autonomous flowmanagement within thefulfillment network.Whywe do itAt Amazon we believe every day isday one, theEuropean Central Flow team realizes that vision on adaily basis bydelivering on the goals above and providing a centrallocation foroperational excellence within the Amazon customerfulfillmentnetwork. By doing so we continuously improve the buyingexperiencefrom our customers and further our ambitious goal ofbeing Earth’smost customer-centric company. Keyjobresponsibilities- Become a subject matter expert inflowmanagement tools and processes, and how they interface withFCoperations.- Carry out deep dive analysis intoimprovementopportunities, promoting and leading comprehensiveaction plansacross multiple stakeholders.- Partner withvaried stakeholdergroups across multiple business areas and levelsof seniority.Communication of complex topics in an accessible wayis a criticalelement of the role.- Track, communicate,and influence keyperformance indices such as customer risk,compliance with flowplanning, and performance to site levelKPIs- Take part in coachinginitiatives to share yourknowledge of the area with operators, ortrain new PCS as part oftheir on-boarding.A day in thelifeAs aProcess Control Specialist (PCS) you will beresponsible for theday-to-day management of flow standards in apartner FulfillmentCenter (FC). You will work together withOperations leaders to plan,then execute a shift while escalatingrisks or standard workdeviations to senior managers. The PCS isexpected act as a keyadvisor on all matters relating to customerfulfillment.As part ofthis role you will need to beflexible to work on shift patternsincluding night, and weekendworking.BASIC QUALIFICATIONS- Youareproficient in English (European Framework level B2)-You have astrong track record of communication skills acrossmultiplestakeholder groups.- You are a problem solver,comfortable workingwith data to make criticaldecisions.PREFERREDQUALIFICATIONS-Fluency in another Europeanlanguage- Able to show experienceworking in remote /centralized teams- Data science skillsincludingSQL- You have excellent judgement, and be able tomakedecisions under pressure.- Ability to influence othersinpressured situations in pursuit of great outcomes.-Problem solvingand analytical skills, ability to analyse numericaldata points, andwork with data to assess situations and takeappropriateaction.Amazon is an equalopportunities employer. We believepassionately that employing adiverse workforce is central to oursuccess. We make recruitingdecisions based on your experience andskills. We value yourpassion to discover, invent, simplify andbuild. Protecting yourprivacy and the security of your data is alongstanding toppriority for Amazon. Please consult our PrivacyNotice(https://www.amazon.jobs/en/privacy_page) to know more abouthow wecollect, use and transfer the personal data ofourcandidates.Amazon is committed to a diverseand inclusiveworkplace. Amazon is an equal opportunity employerand does notdiscriminate on the basis of race, national origin,gender, genderidentity, sexual orientation, protected veteranstatus, disability,age, or other legally protected status. Forindividuals withdisabilities who would like to request anaccommodation, pleasevisithttps://www.amazon.jobs/content/en/how-we-hire/accommodations.

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.