דרושים Srmanager Bie ב-אמזון ב-Luxembourg, Luxembourg

Key job responsibilities
As part of this role you will:
1. Work closely with product, economist, Data Engineering, AI and ML teams to identify opportunities and issues.
2. Participate in developing strategy for turning data into actionable insights
3. Inspect key metrics to uncover trends and root causes of issues.
4. Build AI solutions to measure and provide insights on key inputs and output metrics that drive Amazon price perception
5. Develop deep dive tools and BIE products used across Amazon to understand our key metrics.
A day in the life
In this role you will have exposure to all phases of the product life cycle including researching customer needs, developing opportunity models, and building operational metrics. You will develop and maintain scalable, automated, user-friendly systems, AI solutions, and visual interfaces to support product strategy and operational performance. You will work closely with and guide a team of BIEs to work smarter, faster, and generate big ideas. The ideal candidate will be passionate about working with big data sets, exposure to data science, and contributing to product design.

- Experience managing, analyzing and communicating results to senior leadership

Key job responsibilities
The Senior BIE EU negotiations will be responsible for:
· Building recommendations and insights on negotiations opportunities, driving goal setting for our annual plans.
· Driving insights and recommendations on our complex incentives strategy.
· Championing data and metrics instrumentation to drive our EU negotiation program.
· Driving development of tools, reporting improvements, and automation, and creating new innovative and insightful reports.
· Supporting the business team with ad hoc data requests and analytical needs.

- Experience managing, analyzing and communicating results to senior leadership

Key job responsibilities
The Senior BIE EU negotiations will be responsible for:
· Building recommendations and insights on negotiations opportunities, driving goal setting for our annual plans.
· Driving insights and recommendations on our complex incentives strategy.
· Championing data and metrics instrumentation to drive our EU negotiation program.
· Driving development of tools, reporting improvements, and automation, and creating new innovative and insightful reports.
· Supporting the business team with ad hoc data requests and analytical needs.

- Experience managing, analyzing and communicating results to senior leadership

Key job responsibilities
• Partner with the 3P Selection team to leverage techniques from econometrics, computer science, and statistics to measure seller experience and its impact on selection growth
• Build and maintain data pipelines and analytics solutions to track selection metrics across EU marketplaces
• Create innovative dashboards and reporting tools to support selection growth strategies and catalog gap analysis
• Collaborate with Product Managers and Data Scientists to develop selection guidance tools and frameworks
• Support strategic decision-making through advanced analytics and data-driven insights
• Drive automation and improvement of selection reporting mechanisms
• Partner with cross-functional teams to analyze selection trends and opportunitiesA day in the life
• Work with large-scale datasets to analyze selection patterns and identify growth opportunities
• Develop and maintain dashboards tracking key selection metrics across EU marketplaces
• Support the implementation of AI/ML solutions for selection optimization
• Create automated reporting solutions for tracking selection growth and catalog gaps
• Partner with stakeholders to translate business requirements into technical solutions
• Provide data-driven insights to support strategic selection initiatives

- Experience managing, analyzing and communicating results to senior leadership

In this role you will be responsible for solving complex and ambiguous data and metric problems. You will use latest AWS provided Data Analytics and GenAI tools (such as Quicksight, Amazon Q, Sagemaker) to provide business metrics for senior leaders. You should have a track record of end-to-end ownership and successfully delivering results in a fast-paced and dynamic business environment. You should be able to work on complex initiatives, deal with ambiguity. You will be required to work with senior leaders, product managers, procurement, finance, operations, program managers and other data teams to drive new innovationsKey job responsibilities
As a business intelligence engineer, you will/may:
* Be highly data driven, resourceful, customer-obsessed and team oriented
* Use latest AWS provided data analytics and GenAI tools (such as Quicksight, Amazon Q, Sagemaker)
* Design, develop, and implement scalable, automated processes for data extraction, processing, and evaluation
* Define data driven approaches and metrics strategy to uncover new insights
* Have a passion for sourcing, manipulating, and visualizing data to tell business stories
* Be able to clearly communicate strategic findings and recommendations
* Translate complex, technical concepts into business terms and vice versa
* Work with engineering and data teams to support the development of tools and dashboards

- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with SQL
- Experience in the data/BI space