Business Analyst – Capacity Planning, Capacity Planning Analyst

Job title:

Business Analyst – Capacity Planning, Capacity Planning Analyst

Company:

Amazon

Job description

DESCRIPTIONThe goal of Amazon Logistics is to build a world class last mile operation. Amazon aims to exceed the expectations of our customers by ensuring that their orders are delivered quickly, accurately, and in the most cost effective way possible.The Capacity Planning Team provides AMZL with cost-optimal and flexible capacity solutions for in-station operations, year-round and enabling the business to scale for seasonal peak demand increases. This role is based out of the London corporate office (LHR16). The ideal candidate is passionate about leveraging data to deliver actionable insights that impact daily business, has a strong delivery record and experienced in driving execution in a cross-functional environment, backed by analysis and data. They thrive in a fast-paced environment, relish working with large amounts of data, and enjoys the challenge of solving highly complex, and sometimes ambiguous problems.As a Planning Analyst in the Capacity Planning Team, you will be working on the weekly cadence for the generation of labor plans for AMZL delivery stations to make sure the organization is well prepared for the future. You will analyze execution gaps to improve future plans. You will work cross-functionally and build key relationships to ensure that decisions are made and action. Which enables the AMZL operations to run as effectively as possible. You will challenge the unknown and strive for continuous improvement in key areas of our business.A successful candidate enjoys problem solving, is comfortable accessing and working with big data from multiple sources, and is enthusiastic about partnering with other teams across the business to deliver results. You should have an internal drive to challenge the status quo, excellent analytical skills, as well as excellent written and verbal communication skills. You should be a self-starter, comfortable with ambiguity, naturally curious, and be involved in the details.In this position, you will take ownership of labor planning as soon as you start, you’ll exercise sound judgement, making sure plans are realistic and achievable. And it’ll be worth it; the impact you could have, within one of the world’s biggest, most innovative companies, won’t go unnoticed. At Amazon, we trust the people we hire and provide plenty of support to help to set you up for success . Our culture is very learn-by-doing oriented; you will take control of your career.BASIC QUALIFICATIONS· Bachelor’s degree in engineering, statistics, computer science, business analytics, information systems or related field
· Proficient in MS Excel
· Experience working with data warehouse
· Experience in complex problem solving, root cause analysis in a business environment
· Strong written and verbal communication skillsPREFERRED QUALIFICATIONS· Work experience in operations/supply chain/logistics
· Knowledge of VBA, Python, SQL
· Exposure to labour planning
· Experience with supply chain management and transportation conceptsAmazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/content/en/how-we-hire/accommodations.

Expected salary

Location

London

Job date

Fri, 06 Dec 2024 07:10:38 GMT

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