22 Market Trends jobs in London
Business Intelligence Engineer, Veeqo
London, London
Amazon
Posted 1 day ago
Job Viewed
Job Description
Description
Veeqo (veeqo.com) - a startup which was acquired by Amazon in 2021 - is Amazon's recommended multichannel inventory and shipping solution for SMB sellers. Within only one year post-acquisition, Veeqo carried an S-Team goal and publicly launched at Accelerate 2022.
Our vision is to become the back office hub for SMB ecommerce sellers, for both their on-Amazon and off-Amazon business. We help sellers manage fulfillment operations across all their online stores, and ship orders to customers at the lowest cost and in the fastest possible time.
Amazon is seeking an exemplary Business Intelligence Engineer with broad technical skills to develop data visualizations and build automation solutions that drive business decision making and process improvement. The ideal candidate will draw upon advanced analytical, problem solving skills, and passion for delivering business insights and analytics. We look for candidates who are excellent communicators, self-motivated, flexible, hardworking, and who like to have fun. The complexity of research and skills for a Business Intelligence Engineer involves design and development of automated data pipelines, sophisticated analytical modeling and intuitive data visualization. This role will directly be responsible for maintaining front end code using Python, SQL, or other similar coding languages. This role will have high level visibility due to the nature of the toolsets being maintained, built, and the network impact of analysis conducted. This role has great exposure to a broad scope that can really help shape the future of operational fulfillment and promotes career progression.
Key job responsibilities
- Provide data management processes such as accessing raw data feeds, building queries and macros, writing SQL code, organizing data and designing reports that present status-at-a-glance visualization for business performance.
- Retrieving and analyzing large sets of data using Excel, SQL, and other data management systems.
- Designing and implementing reporting solutions to enable stakeholders to manage the business and make effective decisions.
- Taking ownership of reporting processes to ensure that each report is accurate and timely with a high degree of customer focus in resolving data discrepancies.
- Building and managing related key performance indicators (KPIs) to measure, control, and benchmark reporting processes.
- Monitoring existent metrics, building new metrics, and partnering with internal teams to identify process and system improvement opportunities.
- Supporting cross-functional teams on the day-to-day execution of the existent program implementation.
- Generating complex queries to dive deep on process issues
- Innovating to improve customer experience
Basic Qualifications
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- 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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
Veeqo (veeqo.com) - a startup which was acquired by Amazon in 2021 - is Amazon's recommended multichannel inventory and shipping solution for SMB sellers. Within only one year post-acquisition, Veeqo carried an S-Team goal and publicly launched at Accelerate 2022.
Our vision is to become the back office hub for SMB ecommerce sellers, for both their on-Amazon and off-Amazon business. We help sellers manage fulfillment operations across all their online stores, and ship orders to customers at the lowest cost and in the fastest possible time.
Amazon is seeking an exemplary Business Intelligence Engineer with broad technical skills to develop data visualizations and build automation solutions that drive business decision making and process improvement. The ideal candidate will draw upon advanced analytical, problem solving skills, and passion for delivering business insights and analytics. We look for candidates who are excellent communicators, self-motivated, flexible, hardworking, and who like to have fun. The complexity of research and skills for a Business Intelligence Engineer involves design and development of automated data pipelines, sophisticated analytical modeling and intuitive data visualization. This role will directly be responsible for maintaining front end code using Python, SQL, or other similar coding languages. This role will have high level visibility due to the nature of the toolsets being maintained, built, and the network impact of analysis conducted. This role has great exposure to a broad scope that can really help shape the future of operational fulfillment and promotes career progression.
Key job responsibilities
- Provide data management processes such as accessing raw data feeds, building queries and macros, writing SQL code, organizing data and designing reports that present status-at-a-glance visualization for business performance.
- Retrieving and analyzing large sets of data using Excel, SQL, and other data management systems.
- Designing and implementing reporting solutions to enable stakeholders to manage the business and make effective decisions.
- Taking ownership of reporting processes to ensure that each report is accurate and timely with a high degree of customer focus in resolving data discrepancies.
- Building and managing related key performance indicators (KPIs) to measure, control, and benchmark reporting processes.
- Monitoring existent metrics, building new metrics, and partnering with internal teams to identify process and system improvement opportunities.
- Supporting cross-functional teams on the day-to-day execution of the existent program implementation.
- Generating complex queries to dive deep on process issues
- Innovating to improve customer experience
Basic Qualifications
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- 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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
This advertiser has chosen not to accept applicants from your region.
0
Business Intelligence Product Owner
London, London
Hayfin Capital Management
Posted 2 days ago
Job Viewed
Job Description
Hayfin's Technology team is committed to providing data-driven insights and innovative solutions across our business operations. As a part of our strategic growth, we are looking for a highly motivated and skilled Business Intelligence Product Owner to join our team. The successful candidate will drive the development and optimisation of solutions that empower key business stakeholders to make data-informed decisions.
Role Overview:
The Business Intelligence Product Owner will take ownership of the reporting platform within the organisation, defining and executing the vision for the reporting and analysis solutions and provision of Management Information that aligns with business goals. This includes working closely with internal stakeholders to gather reporting and MI requirements, managing a product backlog, and ensuring that technology capabilities meet both strategic objectives and user needs. The role requires deep knowledge of end user business intelligence tools, a strong understanding of data governance, and the ability to collaborate with both technical and business teams.
Key Responsibilities:
- Reporting Strategy & Vision: Develop and communicate a clear vision and roadmap for the business intelligence product, ensuring alignment with overall business goals and objectives.
- Stakeholder Management: Engage with business leaders, data analysts, and other stakeholders to gather and prioritize reporting requirements, ensuring solutions meet their needs and drive value.
- Backlog Management: Maintain and prioritize the product backlog, ensuring the team is working on the highest-value features and improvements based on user feedback and business needs.
- Reporting Solutions: Own the design, delivery, and optimization of reporting solutions, including dashboards, reports, and self-service analytics tools, ensuring they are actionable and easy to understand for stakeholders.
- Process Improvement: Identify and drive continuous improvements in the reporting process, from data extraction and transformation to visualization and interpretation, ensuring reporting systems remain scalable and efficient.
- Collaboration with IT, Data & Analytics Teams: Work closely with data engineers, data scientists, and IT teams to ensure that the reporting solutions are integrated with relevant data sources, meet performance standards, and comply with data governance policies.
- Quality Assurance: Ensure that reports are accurate, consistent, and reliable. Work with the Engineering team to address any data quality issues impacting the reporting environment.
- User Training & Support: Provide training and support for end-users of reporting tools and solutions, ensuring they are equipped to use reporting features effectively for their decision-making.
- Performance Metrics: Develop key performance indicators (KPIs) and metrics for evaluating the effectiveness of reporting solutions, ensuring that they deliver actionable insights and support strategic business decisions.
- Data Governance: Ensure that all reporting is in compliance with relevant data governance, security, and privacy standards.
- Vendor Management: If external reporting tools or platforms are used, manage relationships with vendors to ensure solutions are effective, scalable, and aligned with business needs.
Requirements
Experience:
- Minimum of 5 years of experience in a product management, product ownership or data consulting role, with a focus on reporting, analytics, or business intelligence (BI) tools.
- Strong experience with reporting platforms and BI tools (QlikSense would be beneficial)
- Solid understanding of data governance, data quality, and reporting best practices.
- Experience working in an agile environment, managing backlogs, and collaborating with cross-functional teams.
- Proven ability to understand and translate business needs into technical solutions that provide value to the organization.
Skills:
- Reporting & Analytics Tools Expertise: Proficiency in using and managing BI tools (e.g., Power BI, Tableau, etc.) for creating interactive dashboards, reports, and visualizations.
- Data-Driven Decision Making: Strong analytical skills and the ability to interpret complex data and turn it into actionable insights for various stakeholders.
- Business Acumen: Ability to understand business objectives and ensure that reporting products align with and support these goals.
- Collaboration & Communication: Strong interpersonal and communication skills, with the ability to collaborate effectively with both technical and non-technical stakeholders.
- Problem-Solving: Ability to address complex reporting challenges and find innovative solutions.
- Agile Methodology: Familiarity with Agile frameworks (e.g., Scrum, Kanban) and product management tools (e.g., Jira, Confluence) for managing product backlogs, sprints, and product delivery.
Education:
- Bachelor’s degree in Business, Data Science, Computer Science, Engineering, or a related field.
- Relevant certifications in reporting or data analytics are a plus.
This advertiser has chosen not to accept applicants from your region.
1
Management Trainee - Business Intelligence
£18000 - £24000 annum
Updraft
Posted 269 days ago
Job Viewed
Job Description
Updraft is an award winning, FCA-authorised, high-growth fintech based in London. Our vision is to revolutionise the way people spend and think about money, by automating the day-to-day decisions involved in managing money and mainstream borrowings like credit cards, overdrafts and other loans.
We are building a complete personal financial service on mobile that provides
- a 360-degree spending view across all your financial accounts (using Open banking),
- A free credit report with tips and guidance to help improve your credit score
- Personalised financial planning using a proprietary mix of automated algorithms and manual advice
- Intelligent lending products to help reduce cost of credit.
- Saving products that help users automate their savings
We are looking for a management trainee to help us develop and implement our growth strategies. This position is best suited for candidates who want to gain valuable experience in a managerial role with advancement potential. During your traineeship, you’ll learn how to identify and apply important strategies and business processes. You’ll get to know the nuts and bolts of our company’s functions and operations; you will be responsible to analyse multiple data sets and provide customer insights to help the customers to achieve the best outcomes. This role supports the Business Heads to optimises product marketing, risk and finance and provide them insightful and timely analysis and management information. To succeed in this role, strong analytical skills and effective communication are important management trainee qualifications you should have. If you’re excited with our company’s vision and want to start the path of becoming one of our future leaders, we’d like to hear from you
We are a small team so it is important that the successful candidate is not only technically highly competent, but also a great cultural fit with shared ambition with the rest of the team. The candidate should be prepared to work weekends based on business needs.
Requirements
The perfect addition to the team will have :- An independent and self-driven approach
- a passion for helping people achieve their goals and the ability to take genuine interest
- A passion for data and analytics - being able to hack around in python and build response, risk, collections and portfolio management models a plus
- have an interest in finance and have worked with financial data
- Participate in company’s strategic planning
- Help managers in evaluating performance (e.g. writing reports, analysing data)
- Keep track of business revenue
- Research ways to increase profitability and lower risk
- You have experience with cloud services, AWS or Google
- Excellent math and computational ability
- A degree in Management or Business
Benefits
As an early stage employee in a fast moving startup you have the opportunity to shape the structure of the organisation, team and our business.
A workplace pension scheme.
We welcome applications from all and are fully committed to diversity and equality as an equal opportunities employer.
We also support flexible working.
Further enquires and applications (CV and covering letter) should be sent to .
This advertiser has chosen not to accept applicants from your region.
2
Senior Business Intelligence Engineer, EU Defects
London, London
Amazon
Posted 1 day ago
Job Viewed
Job Description
Description
Have you ever ordered a product on Amazon and wondered about the complex processes and systems running behind the scenes to power our operations? If so, this role is for you!
- Operations is at the heart of the Amazon customer experience. Each action we undertake is on behalf of our customers, and surpassing customer expectations is our passion.
- We improve customer experience by continuously optimizing the complex movements of goods from vendors and sellers to customers throughout Europe.
- This role requires an individual with analytical abilities, as well as business acumen and comfort with technical teams and systems.
- The successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment.
Our operations teams are transversal centers of expertise, composed of engineers, analysts, scientists, technical program managers, and developers. We focus on defects reduction among the complex problems, operational processes, key tradeoffs, and critical decisions at Amazon.
- We work with fulfillment centers, transportation, finance, and retail teams across the world, to assess impactful defects, define and implement short and long-term improvement plans.
- Defects Reduction connects with core operational organizations responsible for our fulfillment centers, internal and external transportation capabilities, customer returns, and finance teams.
- We obsess about our end-to-end supply chain to make it efficient, drive out defects for our customers, and continuously reduce waste from processes. Our overall mission is simple: we strive towards reaching zero defects across our end-to-end operations.
This role requires an individual with analytical abilities, as well as business acumen and comfort with technical teams and systems. You will lead data analysis and insight generation efforts to support the Defects Reduction program across Europe and North America. This role requires navigating highly complex, strategic scope across the end-to-end supply chain, understanding core operational activities, exposing defects and inefficiencies, surfacing tradeoffs between cost, customer experience, growth, and long-term profitability. The role includes 80% analytical activities and 20% stakeholder/project management.
Key job responsibilities
Data Analytics:
- Autonomously develop and lead design, validation, and execution of advanced metrics, reporting and bridging capabilities to support the Defects Reduction program across Operations from inbound, fulfillment, transportation, to customer returns.
- You will transform data into insights and improve complex processes across the entire supply chain, working with partner operations and data science teams to identify and eliminate defects.
- Perform detailed data set investigations, quality checks, proactively identifying and fixing discrepancies, and establishing modular connectivity between data sets across the wide variety of operational data sources.
- Perform deep-dives and data analysis using SQL (>10TB) to uncover insights for known and new defects.
- Provide recommendations for initiatives and establish metrics to drive business actions and trade-off decisions.
Stakeholder/Project management:
- Develop and share insights with partner teams across supply chain, to influence the immediate defect reduction priorities, and build a 3-year roadmap of initiatives to reach zero defects across our end-to-end operations.
- For complex and ambitious opportunities, design and launch pilots, build business cases, expose tradeoffs, show bottlenecks, highlight risks required to solve in order to maximize defect reduction impact.
- For algorithmic opportunities, work with partner data science teams, software developers, and research scientists, to design and guide the next round of innovative solutions to drive large step change improvements.
- Lead regular reviews with partner teams to monitor the progress of projects across the roadmap.
- Consolidate progress into crisp and concise data-driven status updates. You will own reporting to Amazon senior leadership (SVP/VP-level).
A day in the life
Snr. Business Intelligence Engineer starts the day by analyzing various defect data sets (damages, concessions, lost items, efficiency losses under the roof and on the road, collaborating with cross-functional teams to assess processes and generate insights. They create reports and dashboards to help decision-making for operations stakeholders. They work closely with operational data science teams, tech software developers, applying BI tools to maximize defect reduction initiatives. Solving complex problems related to defects, they contribute to Amazon's goal of providing exceptional customer experiences and lowering the cost-to-serve for customers.
About the team
Defects Reduction team works across operations, from inbound, fulfillment, transportation, to customer returns, and finance. We help drive defects reduction initiatives, balancing between customer experience, cost and operational process efficiency. The team has a large scope of impact and regularly interacts with leadership multiple levels above.
Basic Qualifications
- Bachelor's/Master's degree in a quantitative field such as Information Systems, Computer Science, Operations Research, Statistics, Mathematics etc.
- Experience as a Business Intelligence Engineer, Business Analyst, Data Engineer, or similar roles
- Proficiency with SQL and programming languages with a focus on data analytics (Python, R, Java etc.)
- Expertise in modern data warehousing techniques (dimensional data modelling, experience with ETL, etc.)
- Proven expertise in building reports and BI analysis with tools such as Tableau, QlikView, SAP Business Objects etc.
- Excellent written and verbal communications skills
- Ability to work independently in a fast-paced and rapidly changing environment
- Strong analytical skills, a passion for metrics and figures, you have very high attention to details and you like to structure and organize things so that they make sense
Preferred Qualifications
- Experience in the transportation and operations either from a business or technical position
- Experience with AWS Services and products (S3, Redshift, AuroraDB, DynamoDB, Lambda, EC2 etc.)
- Experience in Data Science and Machine Learning
- Experience in Software development, DevOps and software frameworks (Django, React etc.)
- Ability to own and lead workshops and weekly status updates with business stakeholders
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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
Have you ever ordered a product on Amazon and wondered about the complex processes and systems running behind the scenes to power our operations? If so, this role is for you!
- Operations is at the heart of the Amazon customer experience. Each action we undertake is on behalf of our customers, and surpassing customer expectations is our passion.
- We improve customer experience by continuously optimizing the complex movements of goods from vendors and sellers to customers throughout Europe.
- This role requires an individual with analytical abilities, as well as business acumen and comfort with technical teams and systems.
- The successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment.
Our operations teams are transversal centers of expertise, composed of engineers, analysts, scientists, technical program managers, and developers. We focus on defects reduction among the complex problems, operational processes, key tradeoffs, and critical decisions at Amazon.
- We work with fulfillment centers, transportation, finance, and retail teams across the world, to assess impactful defects, define and implement short and long-term improvement plans.
- Defects Reduction connects with core operational organizations responsible for our fulfillment centers, internal and external transportation capabilities, customer returns, and finance teams.
- We obsess about our end-to-end supply chain to make it efficient, drive out defects for our customers, and continuously reduce waste from processes. Our overall mission is simple: we strive towards reaching zero defects across our end-to-end operations.
This role requires an individual with analytical abilities, as well as business acumen and comfort with technical teams and systems. You will lead data analysis and insight generation efforts to support the Defects Reduction program across Europe and North America. This role requires navigating highly complex, strategic scope across the end-to-end supply chain, understanding core operational activities, exposing defects and inefficiencies, surfacing tradeoffs between cost, customer experience, growth, and long-term profitability. The role includes 80% analytical activities and 20% stakeholder/project management.
Key job responsibilities
Data Analytics:
- Autonomously develop and lead design, validation, and execution of advanced metrics, reporting and bridging capabilities to support the Defects Reduction program across Operations from inbound, fulfillment, transportation, to customer returns.
- You will transform data into insights and improve complex processes across the entire supply chain, working with partner operations and data science teams to identify and eliminate defects.
- Perform detailed data set investigations, quality checks, proactively identifying and fixing discrepancies, and establishing modular connectivity between data sets across the wide variety of operational data sources.
- Perform deep-dives and data analysis using SQL (>10TB) to uncover insights for known and new defects.
- Provide recommendations for initiatives and establish metrics to drive business actions and trade-off decisions.
Stakeholder/Project management:
- Develop and share insights with partner teams across supply chain, to influence the immediate defect reduction priorities, and build a 3-year roadmap of initiatives to reach zero defects across our end-to-end operations.
- For complex and ambitious opportunities, design and launch pilots, build business cases, expose tradeoffs, show bottlenecks, highlight risks required to solve in order to maximize defect reduction impact.
- For algorithmic opportunities, work with partner data science teams, software developers, and research scientists, to design and guide the next round of innovative solutions to drive large step change improvements.
- Lead regular reviews with partner teams to monitor the progress of projects across the roadmap.
- Consolidate progress into crisp and concise data-driven status updates. You will own reporting to Amazon senior leadership (SVP/VP-level).
A day in the life
Snr. Business Intelligence Engineer starts the day by analyzing various defect data sets (damages, concessions, lost items, efficiency losses under the roof and on the road, collaborating with cross-functional teams to assess processes and generate insights. They create reports and dashboards to help decision-making for operations stakeholders. They work closely with operational data science teams, tech software developers, applying BI tools to maximize defect reduction initiatives. Solving complex problems related to defects, they contribute to Amazon's goal of providing exceptional customer experiences and lowering the cost-to-serve for customers.
About the team
Defects Reduction team works across operations, from inbound, fulfillment, transportation, to customer returns, and finance. We help drive defects reduction initiatives, balancing between customer experience, cost and operational process efficiency. The team has a large scope of impact and regularly interacts with leadership multiple levels above.
Basic Qualifications
- Bachelor's/Master's degree in a quantitative field such as Information Systems, Computer Science, Operations Research, Statistics, Mathematics etc.
- Experience as a Business Intelligence Engineer, Business Analyst, Data Engineer, or similar roles
- Proficiency with SQL and programming languages with a focus on data analytics (Python, R, Java etc.)
- Expertise in modern data warehousing techniques (dimensional data modelling, experience with ETL, etc.)
- Proven expertise in building reports and BI analysis with tools such as Tableau, QlikView, SAP Business Objects etc.
- Excellent written and verbal communications skills
- Ability to work independently in a fast-paced and rapidly changing environment
- Strong analytical skills, a passion for metrics and figures, you have very high attention to details and you like to structure and organize things so that they make sense
Preferred Qualifications
- Experience in the transportation and operations either from a business or technical position
- Experience with AWS Services and products (S3, Redshift, AuroraDB, DynamoDB, Lambda, EC2 etc.)
- Experience in Data Science and Machine Learning
- Experience in Software development, DevOps and software frameworks (Django, React etc.)
- Ability to own and lead workshops and weekly status updates with business stakeholders
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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
This advertiser has chosen not to accept applicants from your region.
3
Business Intelligence Engineer, Shipping with Amazon EU
London, London
Amazon
Posted 1 day ago
Job Viewed
Job Description
Description
Amazon shipping is seeking a Business Intelligence Engineer to join our Ship With Amazon (SWA-EU) Sales & Operations Planning Analytics team. In this role, you'll leverage advanced analytics to optimize our First Mile (FM) and Middle Mile (MM) network operations and develop forecasting solutions to enhance operational efficiency. This role will also have partnership with internal tech and data engineering teams, where you'll optimize data infrastructure and broaden access to customer insights. Your focus will be on developing best practices for data integrity, consistency, validation, and documentation to ensure high-quality, accessible data.
Location: London
Join us in transforming SWA-EU's operations through data-driven solutions and analytical excellence.
improvements.
Key job responsibilities
- Lead the development and optimization of analytical solutions for SWA's First Mile and Middle Mile network, including route planning, capacity utilization models, and network design simulations to drive operational efficiency.
- Design and maintain advanced forecasting models for accurate volume prediction and capacity planning, ensuring optimal resource allocation and network performance across the SWA-EU network.
- Create and automate comprehensive reporting systems and interactive dashboards using SQL, Python, and visualization tools to monitor key operational metrics, track KPIs, and provide actionable insights to stakeholders.
- Partner with cross-functional teams to identify operational challenges, conduct deep-dive analyses, and deliver data-driven recommendations that support strategic decision-making and network improvements.
- Create What if Scenarios on forecasting simulations and cost analysis
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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
Amazon shipping is seeking a Business Intelligence Engineer to join our Ship With Amazon (SWA-EU) Sales & Operations Planning Analytics team. In this role, you'll leverage advanced analytics to optimize our First Mile (FM) and Middle Mile (MM) network operations and develop forecasting solutions to enhance operational efficiency. This role will also have partnership with internal tech and data engineering teams, where you'll optimize data infrastructure and broaden access to customer insights. Your focus will be on developing best practices for data integrity, consistency, validation, and documentation to ensure high-quality, accessible data.
Location: London
Join us in transforming SWA-EU's operations through data-driven solutions and analytical excellence.
improvements.
Key job responsibilities
- Lead the development and optimization of analytical solutions for SWA's First Mile and Middle Mile network, including route planning, capacity utilization models, and network design simulations to drive operational efficiency.
- Design and maintain advanced forecasting models for accurate volume prediction and capacity planning, ensuring optimal resource allocation and network performance across the SWA-EU network.
- Create and automate comprehensive reporting systems and interactive dashboards using SQL, Python, and visualization tools to monitor key operational metrics, track KPIs, and provide actionable insights to stakeholders.
- Partner with cross-functional teams to identify operational challenges, conduct deep-dive analyses, and deliver data-driven recommendations that support strategic decision-making and network improvements.
- Create What if Scenarios on forecasting simulations and cost analysis
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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
This advertiser has chosen not to accept applicants from your region.
4
Sr Business Intelligence Engineer, Data and Analytics
London, London
Amazon
Posted 1 day ago
Job Viewed
Job Description
Description
Unlock the power of data and transform transportation operations with analytics solutions! Join our dynamic team in London and become a pivotal force in developing innovative insights that drive strategic decision-making across European transportation networks.
You'll be at the forefront of creating next-generation data tools that provide intuitive insights for the Air, Line-haul and Sortation teams in Europe. By leveraging advanced analytical skills, you'll help translate complex business challenges into meaningful, actionable intelligence that supports strategic innovation and operational excellence.
Key job responsibilities
Key responsibilities
- Analyze complex business requirements and translate them into robust technical specifications
- Design and implement scalable Business Intelligence solutions and custom software development products
- Develop comprehensive test cases and guide stakeholders through testing processes
- Create and deliver compelling presentations of analytical solutions to business stakeholders
- Maintain and troubleshoot deployed solutions with a focus on system reliability and performance
A day in the life
Your day will be a blend of collaborative problem-solving and independent technical development. You'll engage with cross-functional teams, design sophisticated reporting frameworks, and develop analytical models that provide critical operational insights. Expect to dive deep into data challenges, prototype innovative solutions, and communicate complex technical concepts with clarity and impact.
About the team
We are a collaborative group of data enthusiasts committed to transforming transportation operations through intelligent analytics. Our team values creativity, analytical thinking, and a passion for solving complex business challenges. We're focused on developing scalable solutions that drive operational efficiency and strategic decision-making across European transportation networks.
Basic Qualifications
- Bachelor's degree in Computer Science, Data Science, Engineering, or related technical field
- Professional experience in Business Intelligence, data engineering or data analytics
- Advanced proficiency in SQL and Python
- Knowledge of data warehousing and data modeling
- Experience in developing analytical models and reporting frameworks
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience working directly with business stakeholders to translate between data and business needs
- Experience programming to extract, transform and clean large (multi-TB) data sets
Preferred Qualifications
- Master's degree in statistics, data science, or an equivalent quantitative field
- Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with AWS technologies
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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
Unlock the power of data and transform transportation operations with analytics solutions! Join our dynamic team in London and become a pivotal force in developing innovative insights that drive strategic decision-making across European transportation networks.
You'll be at the forefront of creating next-generation data tools that provide intuitive insights for the Air, Line-haul and Sortation teams in Europe. By leveraging advanced analytical skills, you'll help translate complex business challenges into meaningful, actionable intelligence that supports strategic innovation and operational excellence.
Key job responsibilities
Key responsibilities
- Analyze complex business requirements and translate them into robust technical specifications
- Design and implement scalable Business Intelligence solutions and custom software development products
- Develop comprehensive test cases and guide stakeholders through testing processes
- Create and deliver compelling presentations of analytical solutions to business stakeholders
- Maintain and troubleshoot deployed solutions with a focus on system reliability and performance
A day in the life
Your day will be a blend of collaborative problem-solving and independent technical development. You'll engage with cross-functional teams, design sophisticated reporting frameworks, and develop analytical models that provide critical operational insights. Expect to dive deep into data challenges, prototype innovative solutions, and communicate complex technical concepts with clarity and impact.
About the team
We are a collaborative group of data enthusiasts committed to transforming transportation operations through intelligent analytics. Our team values creativity, analytical thinking, and a passion for solving complex business challenges. We're focused on developing scalable solutions that drive operational efficiency and strategic decision-making across European transportation networks.
Basic Qualifications
- Bachelor's degree in Computer Science, Data Science, Engineering, or related technical field
- Professional experience in Business Intelligence, data engineering or data analytics
- Advanced proficiency in SQL and Python
- Knowledge of data warehousing and data modeling
- Experience in developing analytical models and reporting frameworks
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience working directly with business stakeholders to translate between data and business needs
- Experience programming to extract, transform and clean large (multi-TB) data sets
Preferred Qualifications
- Master's degree in statistics, data science, or an equivalent quantitative field
- Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with AWS technologies
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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
This advertiser has chosen not to accept applicants from your region.
5
Sr. Business Intelligence Engineer , GOX - Global Operational Excellence
London, London
Amazon
Posted 1 day ago
Job Viewed
Job Description
Description
Disrupting the way Amazon fulfills our customers' orders.
Amazon operations is changing the way we improve Customer Experience through flawless fulfillment focused on 1) successful on-time delivery, 2) at speed and 3) at the lowest possible cost. Being the engine of Amazon Operational excellence, driving zero defects through ideal operation, being the heart of the Fulfillment network and its center of excellence, being proactive and aspiring for zero defects across the network with 100% organizational engagement.
We are seeking an experienced, self-driven, and strategic Sr. Business Intelligence Engineer (BIE) with superior data modeling and analytical skills. This position is critical in building scalable and generic data models that power our global operational excellence initiatives. You will be part of a dynamic team, working alongside Applied Scientist, Software development engineer and Data engineers all close to the business with Performance Management Leads part of the same team.
In this role, you will contribute across all layers of our data solution ecosystem. You'll work closely with software development engineers to implement robust data infrastructure solutions, collaborate with product managers to build scalable data models, and dive deep into our data with a strong bias for action to generate insights that drive business improvements. Your work will directly impact Amazon's operational efficiency and customer experience worldwide.
Key job responsibilities
- Translating business requirements into modular and generic data infrastructure, implementing and managing scalable data platforms that facilitate self-service insights generation and scientific model building, and handling large-scale datasets while creating maintainable, efficient data components.
- Design and implement automation to achieve Best at Amazon standards for system efficiency, IMR efficiency, data availability, consistency, and compliance.
- Work within a sophisticated technical environment, you'll interface with various technology teams to extract, transform, and load data from diverse sources using SQL, Amazon, and AWS big data technologies.
- You'll enable efficient data exploration and experimentation on our data platform while implementing appropriate data access control mechanisms.
- Your role will be instrumental in driving operational excellence within the team, building automation and mechanisms to reduce operations overhead, and collaborating with peers in a group of talented engineers.
Strong verbal and written communication skills are essential, as is the ability to deliver high-quality results in a fast-paced environment.
To succeed in this role, you should have extensive experience in data engineering with large-scale systems, expert-level knowledge of distributed systems and big data technologies, and strong programming skills. Experience with real-time data processing and streaming architectures is essential, as is a track record of building systems supporting ML operations at scale.
About the team
GOX team is the engine of Amazon Operational excellence at the heart of the fulfillment network operations, aspiring zero defects. It is our purpose to improve Customer Experience through flawless fulfillment focused on 1) successful on-time delivery, 2) at speed and 3) at the lowest possible cost. Our Solutions support on-time delivery of billions of packages to our customers across the globe leveraging AI & Generative AI technology.
The GOX team has earned recognition for creating tools and systems that drive operational excellence across Amazon's global network. Join us in shaping the future of operational excellence at Amazon, where your work will directly contribute to improving our worldwide operations and customer experience.
GOX team is part of EU STEP org that 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 with SQL, data modeling, ETL development, and data warehousing
- Statistical Data analysis experience involving making hypotheses, accessing and prepping data and drawing actionable insights
- Experience with AWS technologies (including Redshift, S3, Lambda etc.)
- Coding experience in at least one modern programming language (Python, Ruby, Scala, Java, etc.)
- Ability to self-direct, multitask, and prioritize a constantly evolving workload.
- Proficient using at least one data visualization product (Tableau, Qlik, Amazon QuickSight, Power BI, etc.)
- Proven ability to meet tight deadlines, multi-task, and prioritize workload.
- Proven ability in Optimizing complex SQL queries.
- Experience working directly with business stakeholders to translate between data and business needs
Preferred Qualifications
- Master's degree in BI, Finance, Engineering, Statistics, Computer Science, Mathematics, Finance or related field required.
- Experience in designing and delivering cross functional custom reporting solutions.
- Proven ability in implementing BI engineering best practices (e.g. analytical rigor, code quality, data quality, data modelling, operational excellence, automation, visualization).
- Experience with R, Python or other statistical/machine learning software.
- Be self-driven, and show ability to deliver on ambiguous projects.
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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
Disrupting the way Amazon fulfills our customers' orders.
Amazon operations is changing the way we improve Customer Experience through flawless fulfillment focused on 1) successful on-time delivery, 2) at speed and 3) at the lowest possible cost. Being the engine of Amazon Operational excellence, driving zero defects through ideal operation, being the heart of the Fulfillment network and its center of excellence, being proactive and aspiring for zero defects across the network with 100% organizational engagement.
We are seeking an experienced, self-driven, and strategic Sr. Business Intelligence Engineer (BIE) with superior data modeling and analytical skills. This position is critical in building scalable and generic data models that power our global operational excellence initiatives. You will be part of a dynamic team, working alongside Applied Scientist, Software development engineer and Data engineers all close to the business with Performance Management Leads part of the same team.
In this role, you will contribute across all layers of our data solution ecosystem. You'll work closely with software development engineers to implement robust data infrastructure solutions, collaborate with product managers to build scalable data models, and dive deep into our data with a strong bias for action to generate insights that drive business improvements. Your work will directly impact Amazon's operational efficiency and customer experience worldwide.
Key job responsibilities
- Translating business requirements into modular and generic data infrastructure, implementing and managing scalable data platforms that facilitate self-service insights generation and scientific model building, and handling large-scale datasets while creating maintainable, efficient data components.
- Design and implement automation to achieve Best at Amazon standards for system efficiency, IMR efficiency, data availability, consistency, and compliance.
- Work within a sophisticated technical environment, you'll interface with various technology teams to extract, transform, and load data from diverse sources using SQL, Amazon, and AWS big data technologies.
- You'll enable efficient data exploration and experimentation on our data platform while implementing appropriate data access control mechanisms.
- Your role will be instrumental in driving operational excellence within the team, building automation and mechanisms to reduce operations overhead, and collaborating with peers in a group of talented engineers.
Strong verbal and written communication skills are essential, as is the ability to deliver high-quality results in a fast-paced environment.
To succeed in this role, you should have extensive experience in data engineering with large-scale systems, expert-level knowledge of distributed systems and big data technologies, and strong programming skills. Experience with real-time data processing and streaming architectures is essential, as is a track record of building systems supporting ML operations at scale.
About the team
GOX team is the engine of Amazon Operational excellence at the heart of the fulfillment network operations, aspiring zero defects. It is our purpose to improve Customer Experience through flawless fulfillment focused on 1) successful on-time delivery, 2) at speed and 3) at the lowest possible cost. Our Solutions support on-time delivery of billions of packages to our customers across the globe leveraging AI & Generative AI technology.
The GOX team has earned recognition for creating tools and systems that drive operational excellence across Amazon's global network. Join us in shaping the future of operational excellence at Amazon, where your work will directly contribute to improving our worldwide operations and customer experience.
GOX team is part of EU STEP org that 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 with SQL, data modeling, ETL development, and data warehousing
- Statistical Data analysis experience involving making hypotheses, accessing and prepping data and drawing actionable insights
- Experience with AWS technologies (including Redshift, S3, Lambda etc.)
- Coding experience in at least one modern programming language (Python, Ruby, Scala, Java, etc.)
- Ability to self-direct, multitask, and prioritize a constantly evolving workload.
- Proficient using at least one data visualization product (Tableau, Qlik, Amazon QuickSight, Power BI, etc.)
- Proven ability to meet tight deadlines, multi-task, and prioritize workload.
- Proven ability in Optimizing complex SQL queries.
- Experience working directly with business stakeholders to translate between data and business needs
Preferred Qualifications
- Master's degree in BI, Finance, Engineering, Statistics, Computer Science, Mathematics, Finance or related field required.
- Experience in designing and delivering cross functional custom reporting solutions.
- Proven ability in implementing BI engineering best practices (e.g. analytical rigor, code quality, data quality, data modelling, operational excellence, automation, visualization).
- Experience with R, Python or other statistical/machine learning software.
- Be self-driven, and show ability to deliver on ambiguous projects.
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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
This advertiser has chosen not to accept applicants from your region.
Be The First To Know
About the latest Market trends Jobs in London !
6
Sr. Business Intelligence Engineer, Prime Video Store, EU TVOD
London, London
Amazon
Posted 1 day ago
Job Viewed
Job Description
Description
Come build the future of entertainment with us. Are you interested in helping the future of movies and television? Do you want to help the next generation of how and what Amazon customers are watching?
Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows from Originals and Exclusive content to exciting live sports events. We also offer our members the opportunity to subscribe to add-on channels which they can cancel at any time and to rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video is a fast-paced, growth business - available in over 240 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on.
We are seeking a Sr. Business Intelligence Engineer (BIE) for our Prime Video Store business across Europe. As BIE you will work closely with our business and finance teams building statistical or machine learning models that drive performance improvements for the business. Key focus areas will be customer insights and engagement as well as overall process optimization. You will act as a consultant to the business surfacing deep insights, providing easy to use tools for analysis and reporting as well as generating actionable learnings for the team. Data-driven decision-making is at the core of Amazon's culture and this role will have a direct impact on the decisions and strategy of the Prime Video Store across multiple territories in Europe.
The role can be based in Munich or London.
Key job responsibilities
- Work with Marketing, Vendor Management, Content Acquisition Management and leadership to identify data needs and requirements
- Build mechanisms to surface knowledge and learnings about to the business
- Set up and maintain self-service infrastructure (e.g. dashboards) for the team in Tableau and other data tools
- Generate and present concrete and actionable insights and recommendations for leadership based on sound methodological analysis
- Proactively create new metrics that represent key inputs/outputs of the business
- Support automation processes across the team
- Work closely with finance team on regular analyses and reporting
Basic Qualifications
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience working directly with business stakeholders to translate between data and business needs
- Experience with SQL
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience in the data/BI space
Preferred Qualifications
- Experience managing, analyzing and communicating results to senior leadership
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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
Come build the future of entertainment with us. Are you interested in helping the future of movies and television? Do you want to help the next generation of how and what Amazon customers are watching?
Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows from Originals and Exclusive content to exciting live sports events. We also offer our members the opportunity to subscribe to add-on channels which they can cancel at any time and to rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video is a fast-paced, growth business - available in over 240 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on.
We are seeking a Sr. Business Intelligence Engineer (BIE) for our Prime Video Store business across Europe. As BIE you will work closely with our business and finance teams building statistical or machine learning models that drive performance improvements for the business. Key focus areas will be customer insights and engagement as well as overall process optimization. You will act as a consultant to the business surfacing deep insights, providing easy to use tools for analysis and reporting as well as generating actionable learnings for the team. Data-driven decision-making is at the core of Amazon's culture and this role will have a direct impact on the decisions and strategy of the Prime Video Store across multiple territories in Europe.
The role can be based in Munich or London.
Key job responsibilities
- Work with Marketing, Vendor Management, Content Acquisition Management and leadership to identify data needs and requirements
- Build mechanisms to surface knowledge and learnings about to the business
- Set up and maintain self-service infrastructure (e.g. dashboards) for the team in Tableau and other data tools
- Generate and present concrete and actionable insights and recommendations for leadership based on sound methodological analysis
- Proactively create new metrics that represent key inputs/outputs of the business
- Support automation processes across the team
- Work closely with finance team on regular analyses and reporting
Basic Qualifications
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience working directly with business stakeholders to translate between data and business needs
- Experience with SQL
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience in the data/BI space
Preferred Qualifications
- Experience managing, analyzing and communicating results to senior leadership
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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
This advertiser has chosen not to accept applicants from your region.
7
Business Intelligence Engineer - 12 month FTC, Fleet planning & Capacity
London, London
Amazon
Posted 1 day ago
Job Viewed
Job Description
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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
* 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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
This advertiser has chosen not to accept applicants from your region.
8
Sr. Business Intelligence Engineer, Prime Video Channels - Customer Insights
London, London
Amazon
Posted 1 day ago
Job Viewed
Job Description
Description
Come build the future of entertainment with us. Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching?
Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows including Amazon Originals and exclusive licensed content to exciting live sports events. We also offer our members the opportunity to subscribe to add-on channels which they can cancel at anytime and to rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video is a fast-paced, growth business - available in over 200 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on.
We are seeking a (Sr.) Business Intelligence Engineer (BIE) for our Prime Video Channels (Add-On) business across Europe. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. As BIE you will work closely with our business and finance teams building analytical and statistical/machine learning solutions that drive performance improvements for the business. Key focus areas will be customer insights and engagement as well as overall process optimization. You will act as a consultant to the business surfacing deep insights, providing easy to use tools for analysis and reporting as well as generating actionable learnings for the team. Data-driven decision-making is at the core of Amazon's culture and this role will have a direct impact on the decisions and strategy of the Prime Video Channels across multiple territories in Europe.
Key job responsibilities
- Work with Marketing, Partner Management, Content Acquisition Management, other BIE and leadership to identify data needs and requirements
- Build mechanisms to surface knowledge and learnings about to the business
- Set up and maintain self-service infrastructure (e.g. dashboards) for the team
- Generate and present concrete and actionable insights and recommendations for leadership based on sound methodological analysis
- Proactively create new metrics that represent key inputs/outputs of the business
- Support automation processes across the team
- Lead large scale projects data and analytical projects that help scale the business across the EU, or Worldwide
- Work closely with finance team on regular analyses and reporting
Basic Qualifications
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience working directly with business stakeholders to translate between data and business needs
- Experience in the data/BI space
- Experience with data visualization using Tableau, Quicksight, or similar tools
Preferred Qualifications
- Experience managing, analyzing and communicating results to senior leadership
- Master's degree in statistics, data science, or an equivalent quantitative field
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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
Come build the future of entertainment with us. Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching?
Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows including Amazon Originals and exclusive licensed content to exciting live sports events. We also offer our members the opportunity to subscribe to add-on channels which they can cancel at anytime and to rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video is a fast-paced, growth business - available in over 200 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on.
We are seeking a (Sr.) Business Intelligence Engineer (BIE) for our Prime Video Channels (Add-On) business across Europe. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. As BIE you will work closely with our business and finance teams building analytical and statistical/machine learning solutions that drive performance improvements for the business. Key focus areas will be customer insights and engagement as well as overall process optimization. You will act as a consultant to the business surfacing deep insights, providing easy to use tools for analysis and reporting as well as generating actionable learnings for the team. Data-driven decision-making is at the core of Amazon's culture and this role will have a direct impact on the decisions and strategy of the Prime Video Channels across multiple territories in Europe.
Key job responsibilities
- Work with Marketing, Partner Management, Content Acquisition Management, other BIE and leadership to identify data needs and requirements
- Build mechanisms to surface knowledge and learnings about to the business
- Set up and maintain self-service infrastructure (e.g. dashboards) for the team
- Generate and present concrete and actionable insights and recommendations for leadership based on sound methodological analysis
- Proactively create new metrics that represent key inputs/outputs of the business
- Support automation processes across the team
- Lead large scale projects data and analytical projects that help scale the business across the EU, or Worldwide
- Work closely with finance team on regular analyses and reporting
Basic Qualifications
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience working directly with business stakeholders to translate between data and business needs
- Experience in the data/BI space
- Experience with data visualization using Tableau, Quicksight, or similar tools
Preferred Qualifications
- Experience managing, analyzing and communicating results to senior leadership
- Master's degree in statistics, data science, or an equivalent quantitative field
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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
This advertiser has chosen not to accept applicants from your region.
9