Business Intelligence

The North America Transportation team is seeking a Business Intelligence Engineer II (BIE) to focus on sustainability initiatives. As the first BIE dedicated to this area, you will play a crucial role in developing data visualization tools and recommending improvements to build a more resilient and sustainable transportation network.Success in this role requires strong analytical skills combined with the ability to effectively communicate and influence change across different business functions. You will need to translate complex data into actionable insights and persuasively present recommendations to diverse stakeholders.Key job responsibilities- Analyzing large datasets to identify opportunities for sustainability improvements in transportation operations- Developing data visualization dashboards and reports to track sustainability metrics and performance- Collaborating with cross-functional teams to understand business needs and translate data insights into actionable initiatives- Presenting data-driven recommendations to leadership and influencing decision-making around sustainability strategies- Staying up-to-date with industry trends and best practices in sustainable transportation and data analyticsBASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

Amazon Fulfillment Technologies (AFT) is seeking an experienced Business Intelligence Engineer who is passionate about leveraging data to deliver actionable insight to improve senior level business decision making. Amazon Fulfillment Technologies (AFT) powers the physical engine at the heart of Amazon. AFT builds and operates software, hardware, and processes that run the global network of fulfillment centers that move many billions of units of inventory, employ tens of thousands of people, and ensure that customers get what they want when we promised we would get it to them. We do this by building automated solutions to handle things that technology does well, while relying on people to handle things that humans do well. Our team collaborates with machine learning scientists, product managers, engineers, Suppliers, fulfillment associates, and with a variety of customers across Amazon worldwide. Key job responsibilities• Design, develop and maintain scaled, automated, user-friendly systems, reports, and dashboards enabling stakeholders to manage the business and make effective decisions.• Work with PMs and Business stakeholders in understanding the business requirements and implementing solutions to support analytics and reports.• Conduct ad hoc data analysis and data quality investigations.• Implement training and documentation solutions that enables stakeholders to get the most out of our self-serve reporting tools.• Develop and support the analytical technologies that give our customers timely, flexible and structured access to their data.• Defining, developing and maintaining critical business and operational reports reviewed on a weekly, monthly, quarterly, and annual basis• Analysis of historical data to extract meaningful insights and learnings from large and complicated data sets identify trends and support decision making, including written and verbal presentation of results and recommendations• Collaborating with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of machine learning models• Understanding of Amazon’s data resources, which to use, how, and whenA day in the lifeAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:1. Medical, Dental, and Vision Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!About the teamAmazon Fulfillment Technologies (AFT) powers Amazon’s global fulfillment network. We invent and deliver software, hardware, and data science solutions that orchestrate processes, robots, machines, and people. We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it.InboundAFT’s Inbound team delivers innovative solutions to automatically receive and process billions of units of inventory from Amazon’s vendors and third-party sellers worldwide, making the merchandise quickly available to Amazon customers.BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience writing complex SQL queries- 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 ...

Does designing, building and maintaining enterprise level analytics and data infrastructure excite you? SMB Marketing Analytics team has an opportunity for you.Amazon Advertising operates at the intersection of e-commerce and advertising, offering a rich array of digital advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers reach Amazon customers on Amazon owned and operated sites and on other high-quality sites across the web. We start with the customer and work backwards in everything we do, including advertising. We are highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit (“it’s always Day1”) and bias for action.SMB Marketing Analytics team supports SMB Marketing team in delivering highly relevant and personalized marketing content to majority of current and prospective advertisers. In this role, you will work with 10+ highly motivated team-members and will be responsible for designing, building and maintaining data infrastructure, creating automated reporting and dashboards, designing and measuring experiments, and executing complex analysis to support business functions.In this role you will:-Design, develop and maintain scaled, automated, user-friendly systems, reports, APIs, dashboards, etc. that will support our business needs.-Partner with operations/business/science/tech teams to consult, develop and implement KPIs, automated reporting/process solutions, and data infrastructure improvements to meet business needs.-Help drive new initiatives and data integration projects and apply your deep analytic and business intelligence skills to extract meaningful insight and learning from large and complicated data sets.-Serve as liaison between the business and product/science teams to prototype new marketing solutions and perform ad hoc investigations into future improvements or innovations. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendationsKey job responsibilities* Own the design, development, and maintenance of datasets, ongoing metrics, analyses and dashboards to drive key business decisions.* Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.* Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.* Use analytical and statistical rigor to identify performance gaps and opportunities for optimization.* Build data infrastructure in collaboration with partner tech-teams to facilitate scaling-up various marketing initiatives.* Support central BI team in reporting on global marketing efforts.* Promote best practices in ETL and mentor your team.A day in the life* Use technical expertise to suggest ways to improve processes and incorporate operational excellence best practices* Use analytical and statistical rigor to answer business questions and drive business decisions* Recognize and adopt best practices in reporting and analysis: data integrity, design, analysis, validation, and documentation* Improve the Knowledge management environment by providing guidance in technical documentationBASIC QUALIFICATIONS- 8+ years of professional or military experience- 5+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience in the data/BI space ...

Project Kuiper is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Project Kuiper will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity.As the Business Intelligence Engineer for the Operations Program Management team you will develop and implement ideas that drive continuous improvement and streamline production of our satellite technology.Key job responsibilities• Work closely with multiple production teams to understand their challenges and provide data/analysis for better decision making. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.• Learn and understand a broad range of Kuiper’s data resources and know how, when, and which to use.• Assist in the development of key metrics and performance indicators to measure overall performance and provide foundation for continuous improvement.• Build self-service reporting platforms, establishing automated processes for large scale data analysis.• Understand and write high quality queries to retrieve and analyze data (ongoing reporting and adhoc requests).• Define analytical approaches and metrics strategy to uncover new insights and formulate recommendations that improve productivity.• Manage the local data infra-structure, and develop scalable solutions for data storage.• Simplify and automate reporting solutions.Export Control Requirement:Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.A day in the lifeThis role will be highly collaborative, requiring partnerships with cross-functional leaders to drive positive results. You will tackle challenging, novel business problems every day and have the opportunity to work with multiple technical teams of Kuiper.You should be comfortable with a high degree of ambiguity and relish the idea of solving problems that haven't been solved at scale before. Along the way, we guarantee that you will learn a lot, have fun and make a positive impact on millions of people.About the teamThe Operations Analytics Team (OAT) was established to develop end-to-end analytics products. That includes both tools and insights for Kuiper Satellite Production operations leadership and functional teams. OAT products are to be used as insights and metrics that production teams drive performance with. The OAT team works in parallel with the PMO office and Kuiper engineering teams. The team consists of 15 Analysts, BIEs and DE that work on setting up analytics infrastructure for Kuiper Production teams. BASIC QUALIFICATIONS- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- 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) ...

Do you love solving problems whose solutions make the world a better place? As the Amazon Community Impact team, we lead philanthropic initiatives for leveraging Amazon's assets for good, concentrating on the pillars of Education, Housing Equity, Disaster Relief, Food Security, and support for employees and teams volunteering in our communities. https://www.aboutamazon.com/impact/communityAs a Data Engineer you will work in a small, highly collaborative, results-oriented tech team (BIEs, DEs, SDEs), and will be partnering with Product and Program Managers, in a environment that leverages agile planning techniques. The successful candidate will write high-quality code, and work with various stakeholders to design, implement, and support a scalable data infrastructure for business intelligence and analysis, balancing and aligning their requirements with the team long term data vision. We are looking for an engineer who is comfortable working through ambiguity and is a creative problem solver. And, of course, has a passion for the community.Key job responsibilitiesAs a Data Engineer, you will design, develop and enhance scalable data systems and pipelines supporting Amazon's ability to scale our work with community partners, and to measure the activity and impact globally. You will build conceptual data models to harmonize disparate data sets, and technical solutions that scale across use cases. You will become a subject matter expert for community, impact and charitable giving data pipelines across dozens of internal and external data streams, while striving for efficiency by aligning data systems and data management approaches with organizational needs. You will collaborate with other data engineers, software developers, business intelligence engineers as well as program and product partners to deliver end to end solutions that meet business goals. You will work with your internal customers to balance customer requirements with team requirements and develop data solutions to help your team and business evolve.A day in the lifeYou'll be part of a bigger tech team (SDEs, DEs, and BIEs) joining all their ceremonies, starting with the sprint planning, dailies, demos and retrospectives.The ACI team has created and launched the following projects as part of their day to day, with our tech owners playing a key role. We look forward to hearing your ideas for what could be next:Disaster Relief by Amazon: https://www.aboutamazon.com/news/community/amazons-disaster-relief-doesnt-end-with-donationsFood Security: https://www.aboutamazon.com/impact/helpforhunger Donations Hub:https://business.amazon.com/en/discover-more/blog/donationshubMeet an Amazonian:https://www.aboutamazon.com/news/community/amazon-employees-share-their-stories-to-spark-student-curiosity-in-techBASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL ...

We are seeking a Business Analyst to support Amazon's global 3P fee strategy for upstream and inbound services related to Selling On Amazon. Our 3P (Third-Party) business includes Fulfillment By Amazon (FBA) and Merchant Fulfillment Network (MFN) channels. With Sellers contributing to over 50% of Amazon’s online sales, 3P Fee strategy is integral to Amazon’s ability to deliver on its goal of offering a vast selection of products at low prices to customers.The successful candidate will have strong analytical background, track record of effective business partnership, and ability to deliver results in an ambiguous, fast-paced, and dynamic environment. The candidate must have the ability to communicate and collaborate effectively across cross-functional and cross-regional stakeholders to understand topline and cost drivers, and deliver high quality insights to senior leaders to influence fee strategy.We are looking for someone with expertise in data analytics skills, strong business acumen, an ownership mindset and ability to clearly communicate. In this role, you will leverage our data to drive efficiencies, provide key data-driven insights, enable new opportunities and innovate on behalf of business customers, in close partnership with both finance and business teams. You will manage and execute entire components of large projects from start to finish including data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations. You will also support building metrics and reporting on them to senior leadership.A successful candidate will develop a strong understanding of our business and make data-driven conclusions. They will be comfortable with ambiguity while working in a fast-paced dynamic environment. They will also continuously learn new systems, tools, and industry best practices to help design new tools that help our team automate, and accelerate analytics. Key job responsibilities• Oversee business and finance reporting and analytics• Understand input drivers and validate integrity of the reporting to influence strategic decision-making and planning• Build and drive planning, forecasting, and reporting models• Identify and support the automation of manual reports• Generate actionable insights through the development of metrics, dashboards and deep dive analyses • Communicate data (both written and verbal) in a clear, concise, and unambiguous manner• Influence critical business decisions with dataA day in the lifeAs the Business Analyst, you will work closely with multiple business and finance teams including product and tech team, data science team, and operations, to shape the monetization of our 3P business. You will help the team identify growth and profit opportunities, partnering with the business teams to develop cost reduction strategy for a global multi-Billion dollar cost reduction goal.About the teamThe WW Product & Tech Finance team focuses our effort on high impact analytical problem solving. Because of this unique focus we attract curious self-starters that thrive on developing new ideas. We have a tight business partnership with the WW FBA product and tech team and Operations where working groups organically coalesce to tackle big problems and opportunities.BASIC QUALIFICATIONS- 3+ years of business or financial analysis experience- Bachelor's degree or equivalent- Experience with SQL- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders- Experience in Excel (including VBA, pivot tables, array functions etc) and data visualization tools such as Tableau ...

Project Kuiper is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Project Kuiper will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity.The Sr. Business Intelligence Engineer, Kuiper Marketing, will bring a mixture of advanced data management, analysis, modeling, and dashboarding skills. The ideal candidate will use data-driven methods to answer business questions and play a key role in the development of our marketing measurement infrastructure. The right person in this role will be able to deal with ambiguity and take the lead in defining frameworks where no prior examples exist. They will be an ambitious self-starter with the ability to operate independently and thrive in a fast-paced environment. Demonstrated ability and willingness to roll up sleeves and execute to get the job done will be key to success in the role. Key job responsibilities- Create and maintain complex queries and data pipelines.- Extract data for analysis and model development from large, complex datasets to address business questions.- Develop dashboards and visualizations that incorporate decision science to inform business decision-making.- Partner on the development of marketing measurement models and bring to production.- Apply advanced analytics to evaluate the causal impact of marketing on customer attitudes and behaviors.- Collaborate effectively with business partners and team members to align data business intelligence efforts with strategic goals.Export Control Requirement:Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.BASIC QUALIFICATIONS- 5+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with data visualization using Tableau, Quicksight, or similar tools ...

Do you have a desire to make a major contribution to the future in the rapid growth environment of Cloud Computing? Amazon Web Services is looking for a Sr Business Intelligence Engineer to help build a scalable, predictive, and prescriptive business analytics platform that supports the AWS Infrastructure Supply Chain Finance (SCF) organization. You will be part of the Finance Analytics team working with Business Analysts and Data Engineers to achieve our goals.You will have a passion to dive deep, a high level of customer focus and a track record in process improvement. This role requires an individual with excellent analytical abilities, strong knowledge of business intelligence solutions and the ability to work with Finance, quantitative and business teams. You will lead multiple automation and controllership initiatives across the Finance org. You will be primarily using but not limited to AWS solution stacks like Redshift, S3, Glue, Lambda, Data pipeline and reporting tools such as Tableau and Alteryx/KNIME to implement BI solutions.Key job responsibilities Develop and implement scalable and reliable analytics, tools, KPI dashboards, and metrics that drive key supply chain, financial, and procurement decisions. Design and implement metrics dashboards to deepen understanding of cost structures, capital spend, and variances highlighting opportunities for improvement. Collaborate with Finance, Tax, Supply Chain, Procurement, and Engineering to capture requirements and deliver analytics solutions. Develop and implement analytics to continually improve continuity of supply and operational efficiencies. Apply automation so that with every iteration on a problem, you build your solution to have maximum scale and self-service ability by stakeholders. Understand a broad range of Amazon’s data resources and know how, when, and which to use and which not to use. Recognize and use advanced analytical techniques to recommend prescribed/ optimized courses of action to users. Interface with Data Engineers, Business Analysts and stakeholders to deliver complete BI solutions. Employ data mining, segmentation, and other analytical techniques to capture important trends in the supply chain, cost, and customer base. Participate in strategic and tactical planning discussions to interface with business customers, gathering requirements and delivering complete reporting solutions.BASIC QUALIFICATIONS- 5+ years of SQL experience- 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 with AWS technologies- 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- Knowledge of data warehousing and data modeling ...

Amazon is a fast paced innovative company that is developing software that no one has attempted before. If you are a data engineer who is passionate about writing code and loves to build large scale data pipelines which are , scalable, high throughput, fault tolerant and always available, then get in touch with us.The Item and Offers team is responsible for a variety of services that form a core part of the Amazon eCommerce platform. We are primarily responsible for developing the services that process all of the Item information from millions of merchants who want to sell through the Amazon family of websites. Our expertise lies in managing billions of products in the catalog and developing large scale distributed systems that process hundreds of millions of changes to the catalog every day in real time. The team offers a unique blend of hard computer science problems and an opportunity to help the businesses model their new ideas.Are you passionate about working with large datasets and code? Do you want to build and manage data engineering solutions that process a broad range of data schemas? Do you want to continuously improve the data pipelines that operate at Amazon’s catalog scale while ensuring our customer’s trust? If yes, then come join the Catalog Data Works (CDW) team with the charter to provide useful, fresh and historical catalog data that teams at Amazon can analyze and leverage for their business use cases. The published by this team are a critical component of building a catalog that earns our customers’ trust.As a Sr. Data Engineer in the CDW team, you will own complex big data pipelines and data solutions to provide highly availability datasets. You will work with large data sets (in petabytes) and transformations involving multiple data sources to enable downstream analytics for our stakeholders. You will build and manage large datasets to help teams drive data-driven decisions through analytical and business metrics dashboards.The Data Engineer will play a crucial role in designing, developing, and maintaining efficient and scalable data pipelines, data models, and data warehousing solutions. This position will be responsible for ensuring data integrity, quality, and availability across the organization, enabling data-driven decision-making and supporting business analytics and insight initiatives.Key job responsibilities• Define and optimize data models for rapid analytics on catalog product data, improving freshness and LLM consumption while reducing costs and undifferentiated work.• Automate metrics generation to support S-team goals, including pack hierarchy scaling and standard KPIs, while leading strategy for scaling self-serve analysis and dashboards.• Mentor engineers, establish best practices in data engineering and operational excellence, and stay current with latest technologies to recommend innovations.• Conduct comprehensive data discovery, profiling, and performance analysis for various sources, designing effective models for Page0, entitlement, propensity, and other relevant data.• Collaborate with stakeholders to translate requirements into optimized data structures, while establishing and enforcing data governance policies to maintain quality, consistency, and security.• Take a long-term view of data solutions, proactively addressing architecture deficiencies and making appropriate trade-offs for usability, security, maintainability, scalability, and extensibility.• Resolve root causes of endemic problems, unblocking innovation for related teams, and build consensus with stakeholders to influence and determine the best path forward.About the teamBASIC QUALIFICATIONS- Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent- 5+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience mentoring team members on best practices- Experience in at least one modern scripting or programming language, such as Python, Java or Scala- Experience in dimensional data modeling and schema design- Experience with diverse data formats: Parquet, JSON, big data formats, and table formats like Apache Iceberg ...

Amazon is seeking a business intelligence engineer for a high visibility role supporting Prime Video Advertising. This role sits within the finance & strategy org, and provides opportunities for impactful contributions to the Prime Video business. Business intelligence engineers partner with finance, strategy, and other stakeholders to solve complex problems, including, reporting & tooling automation, business analysis, and strategic planning. This role will oversee reporting and analysis of Prime Video FreeVee, and other ads related products. - Partner with Finance and Strategy managers to design reports and analyses which answer important business questions. - Build impactful, scalable data pipelines and automated reporting products. - Produce meaningful, timely, and actionable analyses to inform sports business decisions.- Design and implement metrics to measure effectiveness of new products. - Work with data engineers, economists, and product managers to optimize PV reporting and analysis infrastructure and operations. BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

Our teams strive to make Amazon the best place for our Selling Partners to reach consumers, driven by the experience and support we provide them in growing their businesses locally and globally. We leverage technology including automation, self-service, associate tools, and machine learning to both prevent Seller, Vendor and Brand contacts based on knowledge obtained during our support interactions, and to handle those contacts with quality and efficiency. We hire the world’s brightest minds, offering an environment in which they can relentlessly detect, design, and drive solutions to improve the Amazon customer experience. We do this every day by solving complex business and technical problems with ingenuity and simplicity. We are looking for a Business Analyst with expertise in data analytics skills, strong business acumen, an ownership mindset and ability to clearly communicate. In this role, you will leverage our data to drive efficiencies, provide key data-driven insights, enable new opportunities and innovate on behalf of business customers, in close partnership with business teams. You will manage and execute entire components of large projects from start to finish including data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations. You will also support building metrics and reporting on them to senior leadership.A successful candidate will develop a strong understanding of our business and make data-driven conclusions to drive Selling Partner Support Expereince. They will be comfortable with ambiguity while working in a fast-paced dynamic environment. They will also continuously learn new systems, tools, and industry best practices to help design new tools that help our team automate, and accelerate analytics. Key job responsibilities• Oversee business and finance reporting and analytics• Understand input drivers and validate integrity of the reporting to influence strategic decision-making and planning• Build and drive planning, forecasting, and reporting models• Generate actionable insights through the development of metrics, dashboards and deep dive analyses • Communicate data (both written and verbal) in a clear, concise, and unambiguous manner• Influence critical business decisions with dataBASIC QUALIFICATIONS- 3+ years of business or financial analysis experience- Bachelor's degree or equivalent- Experience with SQL- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders- Experience in Excel (including VBA, pivot tables, array functions etc) and data visualization tools such as Tableau ...

Amazon's Global Supply Chain (GSC) is looking for a Senior Manager, Business Intelligence for the Supply Chain Innovations (SCI) team. SCI plays an important role in defining and shaping Amazon's inbound supply chain's long-term strategy. The team is responsible for the incubation and execution of highly visible supply chain projects across low-cost storage, bulk fulfillment, inbound cross-docks, fast-deploy fulfillment, and network design and optimization. Their solutions address the needs of the inbound network in order to meet the speed, cost, and resiliency demands of Amazon's customers.Key job responsibilitiesIn this role, you will lead and develop a team of BIEs to accomplish their respective business team's goals and charters. You will learn the ins and outs of all facets of Amazon supply chain operations and systems, and be a trusted partner to teams by sharing data-driven insights and actions based on deep understanding of the business. You will hire and develop talents to deliver strong results ranging from reporting, automated insight generation, advanced analytics, comprehensive inbound datasets, at standards that raise the bar for the rest of the organization.About the teamSupply Chain Innovations (SCI) identify, evaluate, and lead Inbound Supply Chain initiatives, and scale them to improve end to end cost, speed, and network resiliency. For initiatives with high impact and broad scope with no clear line of ownership, we provide leadership to develop, trial, and scale solutions to full network implementationBASIC QUALIFICATIONS- Knowledge of SQL and Excel- Experience hiring and leading a high-performance team- Experience managing analytics, data science or technology teams, with a product or insight focus- Experience with AWS data warehouse and reporting technologies like Redshift, Athena, S3, etc.- Experience working with finance organizations and financial data- Bachelor's Degree in computer science, data sciences, or related field ...

Are you excited about developing generative AI and foundation models to revolutionize automation, robotics and computer vision? Are you looking for opportunities to build and deploy them on real problems at truly vast scale? At Amazon Fulfillment Technologies and Robotics we are on a mission to build high-performance autonomous systems that perceive and act to further improve our world-class customer experience - at Amazon scale. We are looking for scientists, engineers and program managers for a variety of roles.The Infrastructure and Operations team within the Fleet Mobility AI program is seeking a passionate Data Engineer to provide massive data for training state-of-the-art Foundation Models and power the future of Amazon’s fleet of over 750,000 mobile robots. This includes merging data from multiple sources to aid in building multi-robot models that are able to predict, reason about, and generate scenarios for multi-robot systems. It also includes supporting the new AI initiatives by owning the data pipelines that fuel the Foundation Models and the downstream innovations. If you are a passionate Data Engineer with a knack for extracting value from complex data sources, this is the perfect opportunity to make your mark in an exciting, dynamic field.Key job responsibilities- Work with cross-functional teams to gather and analyze the data requirements for building state-of-the-art AI models.- Design, develop, and maintain data pipelines to collect, clean, and store data from multiple diverse sources.- Implement data quality and validation mechanisms to ensure data and model integrity.- Work closely with Science teams to assist the downstream use cases of their models.- Optimize data processing, storage, and retrieval solutions for scalability, cost, and performance tradeoffs.- Feedback data issues and opportunities to various teams and support the improvement of data collection practices and processes. A day in the life- Participate in the team's agile ceremonies, including planning, daily updates, review, and retrospectives.- Work with data scientists, software engineers, and data professionals to gather and clarify requirements, set goals and success metrics, and check progress against requirements.- Dive into exploration, profiling, and cleaning to support data analysis and model building.- Design and implement data pipelines.- Troubleshoot data issues, and feedback your findings with stakeholders.- Share knowledge across the organization and play a role in the Data Engineering Community of Practice.Amazon offers a full range of benefits for you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!About the teamYou will be joining a research/innovation team with diverse, passionate engineers and data scientists who are dedicated to pushing the boundaries of Warehouse Robotics. The team adopts a highly collaborative innovation management process and an agile framework. Your expertise will contribute to the advancements aspired by the team from ideation to production.BASIC QUALIFICATIONS- 3+ years of data engineering experience- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Knowledge of distributed systems as it pertains to data storage and computing- Experience with data modeling, warehousing and building ETL pipelines- Experience working on and delivering end to end projects independently- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby- Experience with Redshift, Oracle, NoSQL etc.- Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent- Familiarity and comfort with Python, SQL, Docker, and Shell scripting. Java preferred but not necessary. ...

Do you enjoy solving complex business problems, transforming data into insights, and using data to drive product decisions? In this position, you will directly support the creation of a global product that evolves the support experience for our Selling Partners. Data driven approach is at the core Amazon’s culture, and your work will have a direct impact on decision making and strategy for our team. You will work closely with product managers, SDEs, data engineers, operations teams, and senior management to define new metrics and project requirements and provide inputs towards defining solutions to business problems. You will learn and understand our global operations, database infrastructure, and existing system functionalities. After establishing this knowledge, you will need to develop a robust set of metrics and reporting solutions to help uncover opportunities, prioritize fixes, and influence leadership to help drive investments that reduce waste. Some of these metrics do not exist, requiring critical thought and data/metrics design. This will include complex analytics, mapping systems and datasets together, developing scalable reporting solutions, and producing narratives/documents outlining key insights and trends meant to drive investment as well as measuring the efficacy of solutions implemented over time to attribute success and impact. You'll build sustainable, scalable and automated analytics that help the organization understand opportunities for efficiency and performance improvements. With stakeholders across multiple teams, there will be frequent opportunities to influence significant decisions. RESPONSIBILITIES- Deep dive into large data sets to answer key business questions using SQL, Excel, and other data manipulation languages- Systematically identify data sources, perform analysis and build data pipelines to influence product roadmaps based on business problems.- Operate with significant autonomy to deliver results and achieve the goals and objectives of both your team and the broader organization.- Communicate complex insights to stakeholders, both verbally, in writing and through visualization and dashboards- Perform complex data research identifying opportunities to improve the effectiveness of our support mechanisms and provide analytical recommendations to business teams.A day in the lifeYou will work closely with product, program, and tech teams in order to stay connected to the ongoing feature launch roadmaps. The Selling Partners Support ecosystem is constantly evolving and our analytics systems must be maintained and adapted to ensure our measurement strategy and reporting mechanisms accommodate these changes. You will build a variety of analytics and visualization solutions to support our product features. You will autonomously perform deep dives, uncovering new trends/areas that may need attention. You will also work closely with our product team to help design experiments and look for new opportunities.BASIC QUALIFICATIONS- 3+ years of tax, finance or a related analytical field experience- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- 3+ years of business or financial analysis experience- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders- Experience with Excel ...

Join Amazon's Global Logistics team as a Business Intelligence Engineer and help shape the future of our cross-border logistics capabilities. You'll build cutting-edge analytical solutions and data automations that drive efficiency and reliability in our import operations. This role offers a unique opportunity to work with a diverse, global team and make a significant impact on Amazon's supply chain.Key job responsibilities- Design and develop scalable data warehouse solutions and pipelines- Create complex data processing jobs using SQL, Python, and AWS technologies- Collaborate with stakeholders to understand business needs and deliver insights- Conduct advanced data analyses to support decision-making processes- Implement best practices in reporting, analysis, and documentationA day in the lifeYour day begins with a virtual stand-up meeting, connecting with team members across the US and Europe. You dive into analyzing a complex dataset related to import shipment delays, using your SQL and Python skills to uncover insights. By midday, you're collaborating with logistics program managers to translate these findings into actionable recommendations. In the afternoon, you're fine-tuning a Redshift query to improve dashboard performance, then jumping on a call with the data engineering team to discuss integrating a new data source. You conclude your day by documenting your progress and outlining priorities for the following day, ensuring continuous advancement of the team's analytical capabilities.About the teamThe Global Logistics Analytics team is a dynamic group of data enthusiasts dedicated to enhancing Amazon's cross-border logistics. We leverage world-class technologies and internal solutions to increase product selection and reduce costs for customers. Our team thrives on complexity, values continuous learning, and is passionate about using data to drive business decisions.Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan Learn more about our benefits here: https://www.amazon.jobs/en/internal/benefits/us-benefits-and-stockBASIC QUALIFICATIONS- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- 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 building and maintain basic data artifacts (e.g. ETL, data models, queries) ...

Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you? If so, the WW Amazon Logistics, Last Mile team is for you. We manage the delivery of tens of millions of products every week to Amazon’s customers, achieving on-time delivery in a cost-effective manner to deliver a smile for our customers.Amazon Logistics is looking for a customer focused, analytically and technically skilled Business Intelligence Engineer to drive effective performance measurement and management, innovation and execution in last mile delivery. This position will be responsible for leading a BIE team building out analysis and visualization tools and processes’ to support our growing Amazon Logistics business.The successful candidate will be able to effectively retrieve, integrate, visualize and present critical data to improve the efficiency of the package delivery network, and enable efficient management of a large global logistics system. This individual will work with technical and business teams to optimize planning, execution, process improvement and track progress against goals. This role requires an individual with excellent analytical abilities, 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, and enjoy working with large scale of data. Key job responsibilities- Partner with internal stakeholders across multiple teams, gathering requirements and delivering end to end solutions- Partner with Data Engineering and Software Development Engineers to prioritize and define AMZL data and BI development needs- Work with in-house scientists, global supply chain, transportation and logistics teams to identify new BI capabilities and projects- Lead and develop a team of Business Intelligence Engineers and Business Analysts- Conduct deep dive investigations into operations execution and business problems, identify opportunities, and lead or support implementation (role varies by opportunity)- Analyze and visualize large scale geo-spatial logistics and transaction data to articulate user behavior or delivery process problems, and output solid analysis report with recommendation- Serve as liaison between the WW Planning and Analytics team and the operations business teams to achieve the goal of providing actionable insights into current delivery performance, and ad hoc investigations into future improvements or innovations. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations- Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reportingAbout the teamThe AMZL ORBIT (Operations Reporting, Business Intelligence, and Technology) team works as an integral part of AMZL worldwide to ensure that its business intelligence and analytics needs are met. By providing information, insight, and decision support, we strive to enable success of all parts of AMZL. Our stakeholder set includes senior management, station operations, DSP management, Flex management, long-term planning, Ops technology (Voice of the Delivery Station, Voice of the Customer), network planning, and pretty much every BI and Ops teams in AMZL. The BI team maintains and improves metric reporting and AMZL's content in PerfectMile. This team also support publication of WBR decks across NA, EU and JP. We also support a limited set of reports in Tableau and QuickSight dedicated for analytical purposes.BASIC QUALIFICATIONS- 10+ years of professional or military experience- 5+ years of SQL experience- 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 with AWS technologies- 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 ...

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to these questions and you’ll fit right in here in Mechatronics and Sustainable Packaging Integrated Systems team. We are a smart team of doers that work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we can’t imagine yet. We invent new improvements every day.The packaging and sustainable packaging group develops robotic material handling products that increase the safety and efficiency of our fulfillment operations. Our products are deployed across the Amazon Fulfillment Network, automating material flow to reduce operational costs, increase throughput, and enable consistent quality. Our workcells are integrated into broader solutions for storage, packaging, sortation, and transportation of items and packages.MSP is seeking a Sr. BIE to join a dynamic new data team that provides leadership for concept development, architecture, design and testing of robotics systems and industrial equipment. This is an opportunity to make your mark and shape how the team accesses, utilizes and distributes data that continues to inform critical decision making within the organization. You’ll work closely with Business Intelligence Engineers, Data Scientists, Product Managers, Systems Engineers and more. Key job responsibilities- Write expert-level SQL that extracts actionable insights from some of the world’s largest datasets- Dive deep to help drive key business decisions through data insights and improve a wide range of internal products- Own the design and development of automated solutions for recurrent reporting and in-depth analyses including learning, publishing, and managing our operational business metrics decks- Drive continuous improvement of our analytical processes by automating, scaling, and simplifying self-service support for our customers- Invent new ways to explore our data and work with Product Managers to identify opportunities and transform business problems into defined data and reporting requirements- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modelling, warehousing and building ETL pipelinesBASIC QUALIFICATIONS- 10+ years of SQL experience- 10+ years of professional or military experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with AWS technologies- Experience with theory and practice of information retrieval, data science, machine learning and data mining- Experience with theory and practice of design of experiments and statistical analysis of results ...

Do you want a unique, exciting opportunity to help build something from the ground up? We are looking for builders who thrive in ambiguity to join the BI team of a tech organization under Workforce Planning.The ideal candidate will have a passion for automation and clean, streamlined process design. The applicant will draw upon advanced analytical, critical thinking, problem solving skills, software development experience, and an aptitude for creating maintainable, highly reliable, distributed systems which operate 24/7/365. You will work with analytic tools, write excellent scripts, partner with customers to answer key business questions, and act as an advocate for your customers. Successful members of this team collaborate effectively with internal end-users, cross-functional software development teams, and technical support/sustaining engineering teams to solve problems, implement new solutions, and deliver successfully against high operational standards of system availability and reliability. 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 is well beyond basic data entry and extraction. It involves design and development of automated data pipelines, sophisticated analytical and intuitive data . In addition, this role is on a large analytical team that supports a wide range of businesses. This role has great exposure to a broad scope that can really help shape the future of operational fulfillment and promotes career progression.About the teamThe Strategies Labor BI team elevates the labor planning experience by producing insights and data for our customers.We do this by:1) Generating actionable insights to inform product roadmaps, drive strategic decisions for our customers2) Enabling stakeholders through automated reporting, self-service dashboards, and/or company-wide tools/metrics;3) Improving our data architecture and processes to reduce time spent on KTLO and Operations;4) Supporting general business needs (e.g., xBRs, escalations, ad hoc requests) and operations.BASIC QUALIFICATIONS- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- 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) ...

The Seller Insights and Planning team’s mission is to create an ecosystem within Fullfilled By Amazon (FBA) where sellers can thrive and delight customers. We achieve this through eliminating defects that increase seller costs, planning our investment strategy into under-penetrated segments, and orchestrating multi-year worldwide initiatives that span across business, technology and operations. As a Sr Business Analyst, you will play a pivotal role in converting data into actionable business insights that solve complex, high-impact problems, and enhance the success of WW FBA sellers. By leveraging data, you drive operational efficiencies, provide key data-driven insights, enable new opportunities and innovate on behalf of sellers. This role requires you to present complex information in an accessible format to leadership, answering key business questions. Beyond executing required skills, you will also influence, educate, and drive results in a fast-paced, ambiguous environment. Key job responsibilities- Proactively evaluate WW FBA business performance to identify areas of opportunity, define the analytical requirements needed for further deep dive, and present summarized findings to senior leadership. - Partner with WW FBA stakeholders to develop and align on business metrics, automated reporting structures, and process improvements to meet business requirements. - Aggregate data from multiple sources related to WW FBA seller performance, customer feedback, and operational metrics and compile it into a digestible and actionable format.- Directly perform adhoc analysis to determine the root cause issues of ambiguous systemic challenges at the request of senior leadership. Participate in strategic and tactical planning discussions. A day in the lifeBachelor's degree in a quantitative field 5+ years of writing advanced SQL queries 5+ years of business analyst, data analyst or similar role experience5+ years of Excel (pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau or Power BI Experience defining requirements to achieve complex business solutionsAbility to transform data and metrics into visualizations and summaries for L10+ audiencesProficient written and verbal communication skills with comfortability presenting to L10+ audiencesBASIC QUALIFICATIONS- Bachelor's degree in business or analytical discipline- 5+ years of writing SQL queries and creating business intelligence reports using Tableau, Power BI experience- Experience defining requirements and using data and metrics to draw business insights- 5+ years of Excel or Tableau (data manipulation, macros, charts and pivot tables) experience- 5+ years of business analyst, data analyst or similar role experience- Ability to transform data and metrics into visualizations and summaries for senior leader audiences ...

The Amazon Devices organization designs, produces and markets Kindle e-readers, Fire Tablets, Fire TV Streaming Media Players and Echo Speakers, and is constantly looking to innovate on behalf of customers with new devices in existing or new categories or improving the customer experience on existing platforms. The Devices Analytics team provides customer engagement support to the broader organization for Kindle, Fire, and Echo products – established and emerging countries, worldwide. We are looking for an innovative, hands-on and customer-obsessed Data Engineer who can be a strategic partner to the product managers and engineers on the team. Our projects span multiple organizations and require coordination of experimentation, economic and causal analysis, forecasting, and predictive machine learning tools. You will act as the business-facing subject matter expert for data storage, feature instrumentation, and data privacy, with the responsibility of managing end-to-end execution and delivery across projects. In this role, you will be a technical expert with massive impact. You work tightly with the research scientist and business intelligence engineers on our team to create the data infrastructure and pipelines to drive our machine learning projects from initial experimentation to production level deployment. Your work will directly impact the success of Amazon's growing Devices business. You will work across diverse science/engineering/business teams. You will work on critical data engineering problems, building unique high quality reliable, accurate, consistent, and architecturally sound data sets that are aligned with our business needs.Key job responsibilities- Design, implement and support an analytical data infrastructure - Managing AWS resources including EC2, EMR, S3, Glue, Redshift, etc. - Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies - Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency - Collaborate with Data Scientists and Business Intelligence Engineers (BIEs) to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation - Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customersBASIC QUALIFICATIONS- 5+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS- Experience mentoring team members on best practices ...