Sr Manager Business Intelligence Global Transportation Technology Services jobs at Amazon in Luxembourg, Luxembourg

In this role you will:
* Publish your innovation in top-tier academic venues and hone your presentation skills.
* Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise.

* PhD in a relevant field, received within 2 years of starting the program
* Proven publication record in Machine Learning, Robotics, Computer Vision, AI, Computer Science, Econ, Operations Research, or other related technical fields
* Experience in data science and quantitative research
* Proficiency in technologies relevant to the subfield

* Ability to independently deliver results in a fast-paced environment
* Publications at top-tier, peer-reviewed conferences and/or journals
* Exceptional verbal and written communication skills
* Expert knowledge in modeling and performance, operationalization, and scalability of scientific techniques and establishing decision strategies

Every day will be filled with exciting new challenges, developing new skills, and achieving personal growth.
Key job responsibilities- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
- Write high quality code to retrieve and analyze data
- Understand data resources and how, when, and what to use (and what not to use).A day in the lifeAbout the team
If you’re insatiably curious and always want to learn more, then you’ve come to the right place. Depending on your location, country, job status and other requirements, some or all of the following benefits may be available to you as an intern.
- Competitive pay- Networking opportunities with fellow interns- Mentorship and career development
If you’re successful during your internship, you could be considered for a graduate role after finishing your university studies.Internship start dates vary throughout the year.
Internship length is ideally 6 months.

- Are enrolled in or have completed a Bachelor's degree in computer science, computer engineering, or related field
- Work 40 hours/week minimum and commit to 6 month internship maximum

- Are enrolled in or have completed a Master's degree in computer science, computer engineering, or related field
- Knowledge of BI analytics, reporting or visualization tools like Tableau, AWS QuickSight, Cognos or other third-party tools
- Experience with data querying or modeling with SQL or Excel
- Experience with SQL

Key job responsibilities
- Develop and maintain client relationships, negotiate sales contract and drive revenue based org goals.- Managing working-level relationships across the organization.- Uses expertise and judgment to select stakeholders to determine the right goals, inform decisions, and design long-term solutions.
- Communicating goals, roles, responsibilities and desired outcomes to cross-functional project teams to gain buy-in and deliver programs.- Addressing barriers through problem solving, communication and active coordination with stakeholders.

Your day will be dynamic and purpose-driven. You'll collaborate with world-class engineers, prototype innovative solutions, and rapidly transform ideas into functional technologies. Expect to engage in fast-paced development cycles where your creativity and technical expertise drive meaningful change.Key job responsibilitiesAnalyze complex technical challenges and develop strategic, efficient solutions
Participate in code reviews, architectural discussions, and continuous improvement initiatives
Contribute to a culture of technical excellence and knowledge sharing

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team

- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

This role can be based in any of the below AMZL corporate offices: London, Madrid, Milan, Paris, Luxembourg, Barcelona, Munich with circa. 30% travel required.This position requires deep customer focus, strong autonomy and exceptional project management skills. It will involve regular communication with executors and project sponsors at both the European and worldwide level, and requires you to be detail-oriented and comfortable partnering across functional business and technical teams. To be successful in this role, you need to pair strong analytical skills and a data-driven outlook with strong intuition.
Key job responsibilities
- Lead the design and development of new processes, equipment, process-flows, Infrastructure across all processpaths with AMZL
- Optimize existing processes/equipment and program manage the expansion of new processes/equipment from concept to deployment
- Own and drive programs that improve capacity, productivity, safety and Ergonomics within Delivery Stations- Tracks metrics to identify areas of improvement across all processpaths- Creates strategy for long term roadmap
A day in the life
Your day could include engagement with all levels of the organization and multiple stakeholder groups to drive short, mid and long term decisions that have impact on a large scale across the AMZL network. You would also be working with partners from Operations, Process Improvement, Health and Safety, Ergonomics, Finance, Procurement and external vendors to design and deploy new equipment and processes for the multiple process paths in AMZL Delivery Stations. You will put in place mechanisms to track project success, measure KPIs and build reports to provide visibility to senior leaders across the organization. Finally, you will have fun doing everything listed above.Mentorship & Career Growth:Work/Life Harmony
We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfilment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

- MBA, MSc or MEng (Logistics, Supply Chain, Engineering, Mathematics or equivalent)
- Knowledge of other EU languages (German, French, Italian or Spanish advantageous)
- Advanced data analysis skills, Knowledge & ability to use standard design and development tools e.g. AutoCAD, MS Visio
- Demonstrated ability to build strong working relationships with business partners and key stakeholders and the ability to work under pressure in a cross functional organization
- High level of written, verbal and interpersonal skills

Key job responsibilities
- Own end-to-end linguistic quality for German content across device software, marketing, and packaging.
- Develop, evolve, and evangelize style guides, terminology, and editorial standards for German.
- Provide guidance and feedback to external vendors and internal stakeholders to ensure scalable, high-quality localization.A day in the life

- Native-level fluency in German
- Bachelor’s degree in translation, localization, linguistics, or technical communications with a focus on German, or comparable fields
- Professional experience in German software localization, translation, or writing/editing experience
- Proficiency with CAT tools, TMS and terminology platforms (e.g., memoQ, QTerm, SDL Studio, Passolo)
- Ability to work cross-functionally
- Proven ability to manage deadlines, adapt to shifting priorities, and operate with a bias for action

Key job responsibilities
-Contribute to the design, implementation, and delivery of BI solutions for complex and ambiguous problems
-Produce written recommendations and insights for key stakeholders that will help shape effective metric development and reporting
-Simplify and automate reporting, audits, and other data-driven activities-Develop and drive best practices in data integrity, consistency, analysis, validations, and documentation
-Learn new technology and techniques to meaningfully support product and process innovation

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 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
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field