16 Emplois pour Data Analyst - Luxembourg

Mitsubishi UFJ Investor Services and Banking (Luxembourg) S.A. (MIBL) is a Bank incorporated in Luxembourg and is fully owned by Mitsubishi UFJ Trust and Banking Corporation, member of the Mitsubishi UFJ Financial Group, one of the largest financial groups worldwide.
MIBL provides a wide range of financial services to institutional investors including depositary, custody, fund administration and other banking-related services.

MIBL now has an opening in its Finance Department for an:

Senior Regulatory Reporting Data Analyst - CDI

(Ref: MIBLFI2504)

Role responsibilities:

• Implementation of WKFS applications/modules
• Support the implementation of new regulations impacting regulatory reporting section
• Development of interfaces between Olympic Core banking Systems and WKFS-DF
• Serve as regulatory reporting analyst in assessing the accuracy of reports based on current regulations
• Act as an “intermediary” between the Finance department and other departments (Risk department, IT) when addressing bank matters impacting regulatory reporting assignments
• Participating in CSSF, BCL and CBI reports production
• Supporting Risk Department in various technical mattes and preparation of Regulatory reports

Your profile:

• Good knowledge of WKFS reg-Reporting, WKFS data Model: data foundation, mapping, interface
• Expertise in databases and data warehouses (Oracle, MS SQL server)
• Ability to identify relevant data sources and implement efficient data retrieval mechanisms
• Ability to perform detailed analysis
• Excellent understanding of expertise in IFRS & regulatory matters
• Good analytical and strong organizational skills;
• Good knowledge of English
• Good written and oral communication skills to collaborate with various counterparts (supervisors, IT units)

If you are interested in taking up this opportunity, please send your application letter with detailed curriculum vitae via jobs.lu

Please be aware that in accordance with the law of July 23rd, 2016 the selected candidate will be requested to provide a criminal record (section 3).

APCT1_LU

Description
We are looking for an experienced Data Analyst to join the Reverse Logistics Services team to help unlock insights which take our team to the next level. The ideal candidate will be excited about understanding and implementing new and repeatable processes, while providing data to improve the Returns transportation business. The successful candidate will have strong data mining and modeling skills and is comfortable facilitating ideas and working from concept through to execution. They will partner with various key stakeholders to deep dive into the business challenges and data to identify insights, providing recommendations for process improvement on a globally scalable level. This role requires an individual with excellent analytical abilities as well as strong business acumen.
Key job responsibilities
-Retrieving and analyzing data using Excel, SQL, and other data management systems
-Monitoring existing metrics, analyzing data and partnering with internal/external teams to identify process and system improvement opportunities
-Design, develop and maintain scalable, automated, user-friendly systems, reports, or dashboards to enable stakeholders to manage the business and drive effective decisions
-Prepare and deliver business requirements reviews to leadership teams
-Excellent writing skills, to create artifacts easily digestible by business and tech partners.
-Be self-driven, and show ability to deliver on ambiguous projects with incomplete data
About the team
At Amazon Worldwide Returns & ReCommerce (WW R&R), we aspire to zero: zero cost of returns, zero waste, and zero defects.
We are an agile, innovative organization dedicated to 'making zero happen' to benefit our customers, company, and environment. We are constantly innovating to create long-term value at Amazon by investing in the future and focusing on the planet, not just on the bottom line. WW R&R includes business, product, program, operational, data, and software engineering teams, who together manage the lifecycle of returned and damaged products.
Basic Qualifications
- Experience in Transportation or Operations
- Experience managing and influencing key metrics
- Ability to analyze associate and customer inputs to influence internal and external partners
- Experience with MS Outlook, Excel, and Word
- Strong written communications skills
- Experience with data visualization tools like Tableau and/or experience with SQL & Quicksight
Preferred Qualifications
- 2+ years experience in Transportation or Operations
- Experience with transportation safety processes
- Customer returns transportation or operations experience
- Strong background in administrative support, project or data management and working with tech teams
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 ( ) to know more about how we collect, use and transfer the personal data of our candidates.
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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Description
As a Business Intelligence Engineer, you will enable the creation of products that drive ever-greater automation, scale-ability and optimization of every aspect of EU AMXL Network Planning. You will identify opportunities and implement changes to improve network's performance, simplify processes, and leverage existing resources. As part of your responsibilities, you will help the design and implementation of state-of-the-art solution in long and mid-term network planning.
Key job responsibilities
- Design and develop tools to automate standardized processes and optimize trade-offs across the full decision space.
- Develop relationships with internal and external partner teams to enrich our collection of data.
- Take the lead on the design, implementation, and delivery of large-scale data solutions that have a long-term impact on our mid- and long-term strategic planning.
- Analyze historical data to identify trends and support decision making.
- Identify and tackle intrinsically hard problems. Deliver artifacts that set the standard in your organization for business intelligence excellence, from designs to data models to implementations.
- Improve upon existing methodologies by developing new data sources or architecture enhancements.
- Lead and actively participate in design reviews, aligning teams across your organization towards coherent architectural strategies.
- Collaborate with multiple teams and have cross-team impact.
- Research and benchmark our technology against other competing software in the industry.
About the team
Amazon Extra Large (AMXL) looks after heavy items like furniture and large home appliances. Our team manages the entire service, from supply chain fulfilment to delivery and returns. What sets this service apart from others is the extra level of customer care. Not only do we deliver large items, but we unpack, assemble and install them, and take away old items where needed. With a focus on safety, productivity and innovation, we're changing the way customers buy and receive large goods for the better.
We have ambitious plans to expand our specialist fulfilment centres and delivery stations across the UK and Europe. While those of us who work in delivery stations will do some night shifts, most of us work during the day. Our team is made up of people across operations, supply chain, business intelligence and programme management, and everyone plays a crucial role in growing this part of the business.
Basic Qualifications
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- 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 in the data/BI space
Preferred Qualifications
- 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
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 ( ) to know more about how we collect, use and transfer the personal data of our candidates.
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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Description
Amazon's EU STEP team is looking for an enthusiastic and customer obsessed Business intelligence Engineer to help us drive changes and manage operational excellence to support in optimizing our transportation network.
The role will involve understanding transportation processes, from our fulfillment centers on to our final mile carriers who deliver our packages to our customers. As part of the Transportation Configuration Team you will combine business process knowledge, data expertise, and analysis skills to identify and drive programs within our transportation network.
To be successful in the role, you need analytical skills, ability to influence across business functions and manage stakeholders' expectations effectively.
Key job responsibilities
- Analyze and solve business problems at their root, stepping back to understand the broader context
- Work at the intersection of tech and business, leveraging advanced tech skills with strong domain knowledge
- Develop technical solutions to business problems that utilize the highest standards of analytical rigor and data integrity
- Write high quality code
- Recognize and adopt best practices: data integrity, test design, analysis, validation, and documentation
- Architect and automate ETL pipelines
- Leverage AWS services to build tools and systems
A day in the life
Work/Life Balance
Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfilment.
Inclusive Team Culture
Our team is intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. Yes, we do get to build a really cool service, but we also think a big reason for that is inclusive and welcoming culture we try to cultivate every day.
Mentorship & Career Growth
We care about your career growth. Whether your goals are to explore new design concepts, take on bigger opportunities, or get to the next level, we'll help you get there. Our business is growing fast and our people will grow with it.
About the team
EU STEP brings together Supply Chain, Network Design, and Transportation Planning teams to improve end-to-end forecasting, network flow, planning, and execution. It also brings together our teams from across the business focused on our Operational Excellence pillars - Amazon Customer Excellence Systems (ACES), Learning, Quality, Service, Sustainability and Reliability Maintenance Engineering (RME) Field teams. This integration strengthens operations and execution while driving quality improvements and enhanced customer experience across the entire value chain.
Basic Qualifications
- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience with scripting language (e.g., Python, Java, or R)
- Experience with SQL
- Experience in the data/BI space
Preferred Qualifications
- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis
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 ( ) to know more about how we collect, use and transfer the personal data of our candidates.
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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Description
Amazon's EU STEP team is looking for an enthusiastic and customer obsessed Business intelligence Engineer to help us drive changes and manage operational excellence to support in optimizing our transportation network.
The role will involve understanding transportation processes, from our fulfillment centers on to our final mile carriers who deliver our packages to our customers. As part of the Transportation Configuration Team you will combine business process knowledge, data expertise, and analysis skills to identify and drive programs within our transportation network.
To be successful in the role, you need analytical skills, ability to influence across business functions and manage stakeholders' expectations effectively.
Key job responsibilities
- Analyze and solve business problems at their root, stepping back to understand the broader context
- Work at the intersection of tech and business, leveraging advanced tech skills with strong domain knowledge
- Develop technical solutions to business problems that utilize the highest standards of analytical rigor and data integrity
- Write high quality code
- Recognize and adopt best practices: data integrity, test design, analysis, validation, and documentation
- Architect and automate ETL pipelines
- Leverage AWS services to build tools and systems
A day in the life
Work/Life Balance
Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfilment.
Inclusive Team Culture
Our team is intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. Yes, we do get to build a really cool service, but we also think a big reason for that is inclusive and welcoming culture we try to cultivate every day.
Mentorship & Career Growth
We care about your career growth. Whether your goals are to explore new design concepts, take on bigger opportunities, or get to the next level, we'll help you get there. Our business is growing fast and our people will grow with it.
About the team
EU STEP brings together Supply Chain, Network Design, and Transportation Planning teams to improve end-to-end forecasting, network flow, planning, and execution. It also brings together our teams from across the business focused on our Operational Excellence pillars - Amazon Customer Excellence Systems (ACES), Learning, Quality, Service, Sustainability and Reliability Maintenance Engineering (RME) Field teams. This integration strengthens operations and execution while driving quality improvements and enhanced customer experience across the entire value chain.
Basic Qualifications
- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience with scripting language (e.g., Python, Java, or R)
- Experience with SQL
- Experience in the data/BI space
Preferred Qualifications
- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis
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 ( ) to know more about how we collect, use and transfer the personal data of our candidates.
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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Description
The Supply Chain, Transportation Planning & Operational Excellence (EU STEP) is a team responsible for the end-to-end flow of goods from our vendors and sellers to Amazon customers all over Europe, in order to ensure a speedy and reliable customer delivery in the cheapest way possible. The STEP organization is all about network design and tactical execution as well as cost and performance management of the full network, including long-term strategic planning and transportation contracts on a global platform.
As a Business Intelligence Engineer, you will enable the creation of products that drive ever-greater automation, scale-ability and optimization of every aspect of transportation, lowering cost and delivering speed of execution for our customers. You will also identify opportunities and implement changes to improve network's performance, simplify processes, and leverage existing resources. As part of your responsibilities, you will help the design and implementation of state-of-the-art solution in transportation planning and network design, ensuring that end to end transportation strategies are streamlined and optimized. The impact of your work will be in the Amazon EU global network.
Key job responsibilities
- Design and develop tools to automate standardized processes and optimize trade-offs across the full decision space.
- Develop relationships with internal and external partner teams to enrich our collection of data.
- Take the lead on the design, implementation, and delivery of large-scale data solutions that have a long-term impact on our mid- and long-term strategic planning.
- Analyze historical data to identify trends and support decision making.
- Identify and tackle intrinsically hard problems. Deliver artifacts that set the standard in your organization for business intelligence excellence, from designs to data models to implementations.
- Improve upon existing methodologies by developing new data sources or architecture enhancements.
- Lead and actively participate in design reviews, aligning teams across your organization towards coherent architectural strategies.
- Conduct written and verbal presentations to share insights and recommendations to audiences of varying levels of technical sophistication.
- Collaborate with multiple teams and have cross-team impact.
- Research and benchmark our technology against other competing software in the industry.
- Actively mentor and educate the larger BIE community on trends, technologies, and best practices.
Basic Qualifications
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience writing complex SQL queries
Preferred Qualifications
- Experience with forecasting and statistical analysis
- Experience working as a BIE in a technology company
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses
- Bachelor's/ Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
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 ( ) to know more about how we collect, use and transfer the personal data of our candidates.
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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Description
Have you ever ordered a product on Amazon websites and wondered how it got delivered to you so fast, and what kinds of systems & processes are running behind the scenes to power the whole operation? If so, this role is for you.
Key job responsibilities
You will be responsible for driving the long-term technical roadmap of Consolidation, also referred to as Units per Box (UPB). Our vision to offer a best-in-class shopping experience which meets customer needs for receiving items together in one convenient delivery. The role requires a deep understanding of customer needs and thinking big about how we can make the customer experience seamless and delightful.
As a Business Intelligence Engineer, you will enable the creation of products that drive ever-greater automation, scale-ability and optimization of every aspect of consolidation, lowering cost and delivering speed of execution for our customers. You will also identify opportunities and implement changes to improve network's performance, simplify processes, and leverage existing resources.
Key job responsibilities
Key job responsibilities
- Design and develop tools to automate standardized processes and optimize trade-offs across the full decision space.
- Develop relationships with internal and external partner teams to enrich our collection of data.
- Take the lead on the design, implementation, and delivery of large-scale data solutions that have a long-term impact on our mid- and long-term strategic planning.
- Analyze historical data to identify trends and support decision making.
- Identify and tackle intrinsically hard problems. Deliver artifacts that set the standard in your organization for business intelligence excellence, from designs to data models to implementations.
- Improve upon existing methodologies by developing new data sources or architecture enhancements.
- Actively participate in design reviews, aligning teams across your organization towards coherent architectural strategies.
- Conduct written and verbal presentations to share insights and recommendations to audiences of varying levels of technical sophistication.
- Collaborate with multiple teams and have cross-team impact.
- Research and benchmark our technology against other competing software in the industry.
- Actively mentor junior BIE colleagues on trends, technologies, and best practices.
About the team
Operations is at the heart of the Amazon customer experience. Each action we undertake is on behalf of our customers, as surpassing their expectations is our passion.
We improve customer experience through continuously optimizing the complex movements of goods from vendors to customers throughout Europe.
Global transportation analytical teams are transversal centers of expertise, composed of engineers, analysts, scientists, technical program managers and developers. We are focused on Amazon most complex problems, processes and decisions. We work with fulfillment centers, transportation, software developers, finance and retail teams across the world, to improve our logistic infrastructure and algorithms.
Basic Qualifications
- 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
Preferred Qualifications
- 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
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 ( ) to know more about how we collect, use and transfer the personal data of our candidates.
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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Description
Have you ever ordered a product on Amazon and wondered how that package got to you so fast? Have you ever wondered where it came from and what series of events helped make that delivery possible? If so, the Global Fleet and Products Analytics (GFPA) team might be for you!
We provide the data insights that help manage our fleet of tens of thousands of delivery vans and trucks - one of the largest and most admired parcel carriers in the world. And as part of Amazon's Climate Pledge, we're helping lead the "charge" to build the world's largest fleet of electric delivery vans.
We're looking for a customer-obsessed Senior Manager of Business Intelligence Engineering (BIE) to lead our EU team. As a critical leader on the GFPA team, you'll manage a local team of tech pros (mainly BIEs) supporting our internal EU/UK customers, with support from our Global (NA-based) team of Data Engineers, BIEs, and product/program managers. You'll develop and lead new technical solutions and influence business-critical decisions across multiple organizations and geographies.
To be successful in this role, you'll need to be an excellent developer of tech talent, a committed relationship manager with customers, a diligent prioritizer, a top-notch communicator (written and verbal), and a creative problem solver extraordinaire. You'll work on large, complex initiatives with a high degree of ambiguity, and you'll also advocate on behalf of customers. Great candidates will use data and analytic engineering to drive changes across multiple organizations.
This role is located out of Luxembourg. Team members may be located in Luxembourg or London.
Key job responsibilities
In this position you will:
- Consult with customers and help understand their requirements and priorities
- Lead your local team, and partner with the WW GFPA team and other tech teams to engineer analytic products to meet customer needs
- Lead a Data/Analytics Monthly Business Review (MBR)
- Track performance metrics for your team
- Communicate with and support various internal stakeholders and external audiences
- Work with AWS products including Redshift, Airflow, QuickSight, Lambda, and GenAI products like AWS Bedrock
A day in the life
Our team's customers are internal Amazon teams responsible for managing Amazon's Last Mile global fleet, starting from procurement of assets, managing their ongoing safe and efficient operation, and through the asset's end of life. The Senior Manager works to understand customer needs across the countries in which we operate to drive project schedules from design to release, and influences multiple large, high visibility programs to deliver the products our customers need to get their jobs done.
About the team
Here at Global Fleet and Products (GFP), we are building the safest, most efficient, and most sustainable fleet in the world. GFP Analytics is a growing and dynamic team dedicated to the curation, governance, and analytics/reporting of data about our worldwide fleet of delivery vehicles, especially data related to managing the supply chain and ongoing operation of the fleet. We have two sub-teams, Data/Infra and BI/Analytics, comprised of a diverse set of product/program managers, data engineers, business analysts, and business intelligence engineers. We are also working to keep GFP on the forefront of GenAI and AgenticAI technologies. We love data and helping our customers drive the GFP mission!
Basic Qualifications
- Knowledge of SQL and Excel
- Experience hiring and leading a high-performance team
- Experience managing a data or BI team
- Experience in the data/BI space
Preferred Qualifications
- Knowledge of product experimentation (A/B testing)
- Knowledge of a scripting language (Python, R, etc.)
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 ( ) to know more about how we collect, use and transfer the personal data of our candidates.
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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Description
* 12 Month, Fixed Term Contract*
Have you ever ordered a product on Amazon and wondered how that package got to you so fast? Have you ever wondered where it came from and what series of events helped make that delivery possible? If so, the EU - Global Fleet and Products (GFP) - Fleet planning and Capacity team (FPAC) is for you!
Behind every Amazon delivery is a complex network of planning and execution. As part of the European Global Fleet and Products (GFP) - Fleet Planning and Capacity team (FPAC), you'll help optimize this journey
We work with large amounts of novel data and provide insights that help deliver billions of packages to customers every year. We focus on everything from high-level to granular data and insight generation, primarily supporting the Fleet planning teams automation and operational excellence projects / data asset development.
The GFP Fleet planning and Capacity team is looking for a customer obsessed Business Intelligence Engineer (BIE) to shape how we use data to develop high efficiency Fleet planning tools, in the Last Mile space. As a BIE on the FPAC team, you will develop and lead new technical solutions that supports critical process improvement automations.
To be successful in this role, you'll need to be a diligent time/project manager, strong communicator, and problem solver extraordinaire. You'll work on large, complex initiatives with a high degree of ambiguity, and you'll also advocate on behalf of customers. Great candidates will use data and analytic engineering to drive changes across multiple organizations.
This role is located out of Luxembourg.
In this position you will:
- Engineer critical input and output metrics
- Create performance metrics to measure operational performance, identify root causes and trends, and prescribe action plans for delivery stations around the globe
- Manage metrics across multiple projects simultaneously
- Work with product, technology, and analytics teams to support the development of tools and dashboards
- Communicate with and support various internal stakeholders and external audiences
- Learn, explore, apply, and gain expertise in many internal Amazon data and public AWS products including Glue, Redshift, Quicksight, and Lambda
Basic Qualifications
- 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
Preferred Qualifications
- 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
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 ( ) to know more about how we collect, use and transfer the personal data of our candidates.
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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.