Inventory Planner, TAP
London, England, GBR
Amazon.com
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa...
The Capacity Planning Team provides 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. 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.
Key job responsibilities
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.
A day in the life
As a Planning Analyst you will be working on the weekly cadence for the generation of labor plans 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 actioned enabling operations to run as effectively as possible.
You will also have the opportunity to work on continuous improvement projects spanning from process improvement to in-house tools development for automation and optimization.
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.
Obtained a degree in the last 2 years in engineering, statistics, computer science, business analytics, information systems or related field
· Proficient in MS Excel
· Fluent in SQL
· Strong written and verbal communication skills
· Previous coding experience in R, Python, or VBA. · Experience with Data visualization tool (Tableau/Quicksight/PowerBI or equivalent)
· Prior experience as a capacity planner or S&OP analyst
· Exposure to labour or production planning
· Experience working with data warehouse
· Experience cross functionally
· Experience in complex problem solving, root cause analysis in a business environment
· Experience with supply chain management and transportation concepts
Amazon 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 an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Key job responsibilities
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.
A day in the life
As a Planning Analyst you will be working on the weekly cadence for the generation of labor plans 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 actioned enabling operations to run as effectively as possible.
You will also have the opportunity to work on continuous improvement projects spanning from process improvement to in-house tools development for automation and optimization.
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.
Basic Qualifications
Obtained a degree in the last 2 years in engineering, statistics, computer science, business analytics, information systems or related field
· Proficient in MS Excel
· Fluent in SQL
· Strong written and verbal communication skills
Preferred Qualifications
· Work experience in operations/supply chain/logistics· Previous coding experience in R, Python, or VBA. · Experience with Data visualization tool (Tableau/Quicksight/PowerBI or equivalent)
· Prior experience as a capacity planner or S&OP analyst
· Exposure to labour or production planning
· Experience working with data warehouse
· Experience cross functionally
· Experience in complex problem solving, root cause analysis in a business environment
· Experience with supply chain management and transportation concepts
Amazon 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 an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Job stats:
2
0
0
Tags: Big Data Business Analytics Computer Science Data visualization Data warehouse Engineering Excel Power BI Privacy Python QuickSight R Security SQL Statistics Tableau
Perks/benefits: Career development Flex hours Startup environment
Region:
Europe
Country:
United Kingdom
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.
BI Developer jobsData Engineer II jobsStaff Data Scientist jobsPrincipal Data Engineer jobsSr. Data Engineer jobsStaff Machine Learning Engineer jobsPrincipal Software Engineer jobsData Science Manager jobsData Manager jobsData Science Intern jobsSoftware Engineer II jobsDevOps Engineer jobsBusiness Intelligence Analyst jobsJunior Data Analyst jobsData Analyst Intern jobsData Specialist jobsBusiness Data Analyst jobsLead Data Analyst jobsStaff Software Engineer jobsSr. Data Scientist jobsSenior Backend Engineer jobsData Governance Analyst jobsAI/ML Engineer jobsData Engineer III jobsResearch Scientist jobs
Consulting jobsAirflow jobsMLOps jobsOpen Source jobsKPIs jobsKafka jobsJavaScript jobsEconomics jobsLinux jobsTerraform jobsNoSQL jobsData Warehousing jobsComputer Vision jobsGoogle Cloud jobsGitHub jobsRDBMS jobsPostgreSQL jobsR&D jobsScikit-learn jobsStreaming jobsPhysics jobsData warehouse jobsBanking jobsHadoop jobsdbt jobs
Scala jobsLooker jobsPandas jobsOracle jobsBigQuery jobsClassification jobsReact jobsRAG jobsCX jobsScrum jobsDistributed Systems jobsPySpark jobsIndustrial jobsPrompt engineering jobsELT jobsJira jobsMicroservices jobsRedshift jobsGPT jobsRobotics jobsTypeScript jobsOpenAI jobsLangChain jobsSAS jobsJenkins jobs