13 Emplois pour Power Bi - Luxembourg

Für unseren Standort Munsbach in Luxemburg suchen wir für die Abteilung Transfer Agent & Registrar – Investor Due Diligence einen Team Head (m/w/d) Static Data & Reporting

DEIN AUFGABENGEBIET

• Du übernimmst eigenständig unterstützende Tätigkeiten in Bezug auf die bei der Administration regulierter alternativer Investmentvehikel anfallenden Tätigkeiten in der Investorenverwaltung
• Du stellst die Gesetzeskonformität sowie die Korrektheit der Stammdaten der Finanzkonten (Investorenakten) sicher und informierst die Geschäftsführung der administrierten Produkte über die vordefinierten Risikoparameter (KPI-Reporting)
• Du bist für die Sicherstellung des Tagesgeschäfts in Bezug auf Erfassung und Änderung von Stammdaten verantwortlich
• Du bist für die Organisation und Koordination der Arbeitsverteilung innerhalb des Teams verantwortlich
• Du verantwortest die Strukturierung/Optimierung von Prozessen innerhalb des Teams
• Du arbeitest aktiv in Projekten mit
• Du unterstützt bei der fachlichen Aus-/ Weiterbildung der Team-Mitglieder

DEIN PROFIL

• Du hast ein abgeschlossenes rechtswissenschaftliches/betriebswirtschaftliches Studium oder eine Ausbildung im Finanzsektor erfolgreich absolviert
• Du verfügst über mehrjährige Berufserfahrung im Finanz-/Bankensektor
• Du bist zielorientiert, belastbar und zuverlässig und weist eine ausgeprägte Kommunikationsfähigkeit auf
• Deine Arbeitsweise würdest Du als sorgfältig und strukturiert beschreiben, dabei erledigst Du Aufgaben sowohl eigenverantwortlich als auch in der Zusammenarbeit im Team
• Du verfügst über sehr gute Deutsch- und fachspezifische Englischkenntnisse

WIR BIETEN

• Bei uns hast Du die Chance, mit Ideen, Engagement und Ehrgeiz etwas zu bewegen
• Flexible Arbeitsgestaltung (inklusive der Möglichkeit von Homeoffice) bietet Dir alles, was Du für ein eigenverantwortliches Arbeiten benötigst
• Profitiere von unseren Corporate Benefits, wie z.B. betriebliche Altersvorsoge, vermögenswirksame Leistungen, Gesundheitsmanagement
• Infolge unserer flachen Hierarchien hast Du den notwendigen Freiraum, Dich und das Unternehmen weiterzuentwickeln
• Mit unseren exzellenten Weiterbildungsmöglichkeiten bieten wir Dir die Möglichkeit, Dein fachliches und persönliches Kompetenzprofil kontinuierlich auszubauen

Du bist interessiert?
Dann bewirb Dich online bei uns!

APCT1_LU

For one of our clients, we are looking for a:

Data Management & Reporting Officer / Business Support – Data & IT Tools

Job Purpose: To support the modernisation of the institution's Reporting & Analytics, the extension of the BCBS239 compliance scope, and the implementation of data quality and digitalisation initiatives. The role will contribute to the migration of legacy reporting systems, enhancement of data governance frameworks, and enablement of new IT tools aligned with the institution's Group standards.

Reporting line: The incumbent(s) will report to and work under the supervision of the Head of the Data & IT Tools Unit.

Your Key Responsibilities:

1. Reporting & Analytics Modernisation and BCBS239 Scope Extension

• Assist in the migration of data and reports to the Group Data Warehouse (GDWH), ensuring the decommissioning of legacy Business Objects universes.

• Support the expansion of BCBS239 compliance to Financial Statements and Pillar III reports through detailed data mapping and control framework adaptation.

• Apply Group Reporting Governance principles to critical reports developed in Business Object, Tableau, and Power BI .

• Collaborate with internal and external stakeholders to accelerate the implementation of BCBS239 within the institution.

2. Data Quality Control Implementation

• Design and implement new or improved data quality checks in IT tools, proactively addressing inconsistencies.

• Assist in compiling evidence of controls execution for critical and mandate reports.

• Contribute to the identification and logging of data quality or report production issues and monitor them closely until resolution.

• Contribute to documentation, control testing, and stakeholder engagement to ensure high data quality standards.

3. Digitalisation Support

• Participate in testing and feedback cycles for tactical tooling related to Data Quality, Data Glossary, and Data Lineage .

• Assist in mapping and validating data migration into new IT tools, ensuring alignment with the institution's data structures.

• Follow up on change requests, releases, and access rights reviews to support business ownership of IT tools.

• Contribute to the deployment and maintenance of digital solutions within the institution.

Required Profile:

Qualifications:

• A university degree, preferably at the postgraduate level, in Finance, Economics, Business Administration, or a similar field.

• A minimum of three (3) years of proven experience in data management, reporting, or analytics within a financial or regulatory environment.

• Familiarity with BCBS239 principles and their application in reporting frameworks.

• Strong understanding of data quality frameworks, reconciliation processes, and governance structures.

• Excellent knowledge of English, both oral and written. Knowledge of other EU languages would be an advantage.

Technical Skills:

• Hands-on experience with Business Object, Tableau, Power BI , and data warehouse environments.

• Good proficiency in Microsoft Office tools (Word, Excel, PowerPoint, Outlook).

• Familiarity with SharePoint or a willingness to learn.

Competencies:

• Ability to work within tight deadlines and react swiftly and effectively to new situations in a client-focused, high-quality service environment.

• Excellent documentation and communication skills.

• Disciplined approach while maintaining creativity and lateral thinking towards troubleshooting and problem-solving.

• Excellent interpersonal skills for dealing with internal and external counterparts.

• A true team player.

APCT1_LU

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

Please note that applicants should be enrolled in a Master program and the internship should be a mandatory part of the diploma.

Researchers of the Cancer Epidemiology and Prevention Group (EPICAN) of the Department of Precision Health (DoPH) at the Luxembourg Institute of Health (LIH) have an opening within the research project RELIANCE: “REaL-life cANCEr epidemiology” which focuses on identifying risk factors for cancer, with particular emphasis on prevention and care. This pluridisciplinary research team is led by Claudine Backes, PhD, Scientific Director of the National Cancer Registry of Luxembourg (Registre National du Cancer (RNC)) and head of the Cancer and Prevention Epidemiology Group (EPICAN) at the LIH.

The RELIANCE population-based research pilot study was initiated under the umbrella of the “Plan National Cancer 2020-2024” (PNC2) and is funded by the Directorate of Health (DiSa) of the Ministry of Health (MiSa) as part of the PNC2. It aimed to investigate cancer epidemiology in Luxembourg for the first time using longitudinal data from the RNC. This study investigated a range of research questions using RNC breast cancer data and explored potential secondary data linkages.

The aim is to provide hands-on experience in activities such as statistical estimation, data linkage, and analysis and visualization of health data. It further supports the development of practical skills in working with real-world datasets, developing reproducible workflows, and producing analytical outputs to support epidemiological research and public health decision-making.

In the context of the continuation of this project, we are recruiting a Master's Student. This student will be co-supervised by Claudine Backes, PhD, and Bruno Lima, PhD, data scientist.

Key Responsibilities

• Contribute to the cleaning, preparation and harmonization of data for analysis;
• Assist the implementation of Reproducible Analytical Pipelines to deliver data products;
• Produce descriptive tables and visualizations to support internal reporting;
• Identify potential external sources for data linkage and integration;
• Contribute to documentation of methods and findings;
• Present preliminary results at project and wider Departmental meetings;
• Join other DoPH or group-based activities.

Key Skills, Experience and Qualifications

• Master's level in Epidemiology, Public Health, Health Data Science, or a related field. Applicants should be enrolled in a Master program and the internship should be a mandatory part of the diploma.
• Experience with R for statistical computing, data analysis and visualization;
• Some experience with Git for version control is helpful, but not mandatory;
• Good writing skills in English. The understanding of another language (French, German, Luxembourgish) used in Luxembourg would be an asset;
• Strong attention to detail, especially when working health-related and sensitive data;
• Good organizational skills and the facility to work in a multidisciplinary team.

What we offer and working conditions

• The successful candidate will have the opportunity to work in an interdisciplinary and international scientific research environment, benefiting from exchanges with other scientists in the DoPH and other Departments;
• An environment nurturing the development of skills and experience in cancer epidemiology and health services research, literature review, scientific writing and communication, and the potential for further training in a variety of health-related and transversal domains.

Applications including a cover letter and a curriculum vitae should be sent before 30 September 2025 via our website

Gender Equality

The LIH is an equal opportunities employer. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff. The LIH is attentive to gender representation among its leadership staff and aims to eliminate obstacles to the recruitment and promotion of female leaders and their career development.

APCT1_LU

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.