Sr. BIE, SC Science, Supply Chain Science (Hiring Immediately) - London
Amazon TA London Full-time
Have you ever ordered a product on Amazon and when that box with the smile
arrived you wondered how it got to you so fast? Have you wondered where it
develop Data Analytics and Business Intelligence solutions to optimize our Pan
European inventory management strategy, to maximize our Customer Experience
optimal inventory management strategy in Europe. You will also collaborate
with technical teams to support and audit inventory management and Fulfillment
Center systems. Finally, you will also work with business and operational
stakeholders to influence their strategy and gather inputs to solve EU
strong scientific background. The role also requires excellent communication
skills, and an ability to influence across business functions at different
(dimensional data modelling, experience with ETL, etc.).
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.jobsenprivacy_page) to know more about
opportunity employer and does not discriminate on the basis of race, national
arrived you wondered how it got to you so fast? Have you wondered where it
came from and how much it cost Amazon to deliver it to you?
If so, the Supply Chain science team is for you. The team, based in our EU HQ
in Luxembourg and London is responsible for optimizing our Supply Chain, tackling problems such as inventory management and placement, warehouse flowsoptimization, demand forecasting and planning with uncertainty.
We are looking for a Business Intelligence Engineer who will be responsible todevelop Data Analytics and Business Intelligence solutions to optimize our Pan
European inventory management strategy, to maximize our Customer Experience
and minimize our cost and carbon footprint.
You will partner with the worldwide scientific community to help design theoptimal inventory management strategy in Europe. You will also collaborate
with technical teams to support and audit inventory management and Fulfillment
Center systems. Finally, you will also work with business and operational
stakeholders to influence their strategy and gather inputs to solve EU
specific problems.
To be successful in the role, you will need deep analytical skills and astrong scientific background. The role also requires excellent communication
skills, and an ability to influence across business functions at different
levels.
You will work in a fast-paced environment that requires you to be detail-
oriented and comfortable in working with technical, business and technicalteams.
The job can be based in any of our EU offices.
Key job responsibilities
Your responsibilities will include:
Design and develop Business Intelligence and Data Analytics solutions toanalyze our inventory management performance.
Develop, adapt and execute mathematical models tools to optimize our futureinventory management.
Consult and collaborate with business and technical stakeholders acrossmultiple teams to define new opportunities to optimize our EU Supply Chain.
Communicate data-driven insights and recommendations to diverse seniorstakeholders through technical andor business papers.
### BASIC QUALIFICATIONS- Bachelors degree or higher in a quantitativetechnical field (e.g.
- Proficiency with SQL and programming languages with a focus on data
- Proven expertise in data visualization platforms e.g., Tableau, QuickSight,
(dimensional data modelling, experience with ETL, etc.).
- Sharp analytical abilities, excellent oral and written communication
- Ability to handle multiple competing priorities in a fast-paced
- Experience communicating with technical and non-technical stakeholders
across multiple business units.
### PREFERRED QUALIFICATIONS- Master’s Degree in quantitativetechnical field.
- 5+ years of relevant experience.
- Ability to deliver initiatives from conception through completion.
- Familiarity with Data Science, mathematical modelling and statistical
modelling.
Amazon is an equal opportunities employer. We believe passionately thatemploying 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.jobsenprivacy_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 equalopportunity 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 visithttps:www.amazon.jobscontentenhow-we-hireaccommodations.
Amazon TALondon
Amazon’s Supply Chain Managers play a central role in our global business.
They keep our complex, international supply chains working seamlessly and
efficiently. As a Supply Chain Manager (SCM), you will work closely with
multiple stakeholders...
Amazon TALondon
Amazon’s Supply Chain Managers play a central role in our global business.
They keep our complex, international supply chains working seamlessly and
efficiently. As a Supply Chain Manager (SCM), you will work closely with
multiple stakeholders...
Amazon TALondon
Amazon’s Supply Chain Managers play a central role in our global business.
They keep our complex, international supply chains working seamlessly and
efficiently. As a Supply Chain Manager (SCM), you will work closely with
multiple stakeholders...