Bellevue

The Role:We are seeking a highly motivated Lab Engineer to join our Devices team. The ideal candidate will be flexible, detail-oriented, and skilled at working with internal customers (Software, Science, Product teams) driving data collection and infrastructure development.As Lab Engineer on the Data Collection team, you will champion the quality and efficiency of data collection for the organization, implementing and executing on large scale data collection, ensuring deliverables meet and exceed customer expectations.Key job responsibilities:- Work with software and science teams to create data collection plans and test cases.- Running test cases on devices – such as executing use case scenario based testing- Write, read, run, and develop test scripts in collaboration with developer teams in Python.- Execute test cases, interpret, and report testing results, and be a vocal proponent for quality in every phase of the development process- Find, isolate, document, regress, and track bugs through resolution. Able to debug and restore data collection systems. - Support projects including setup and verification of all system components, trouble-shooting during set-up and live sessions, and ensure integrity and upload, metrics reporting tasks and processes, and document best practices- Provide technical support to the field operation or vendor teams- Apply knowledge of wireless and networking technologies, mobile devices, and quality assurance practices to ensure that connected devices meet all target requirements- Gaining knowledge of the features and detailed functional requirements to execute your assigned tests- Work onsite 5 days per week - Lift up to 25lbs when needed- Effective written communicator, this role will include working with international teams.BASIC QUALIFICATIONS- Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering or equivalent work experience- Python coding- Experience with writing the test plans, use cases, and issue reports ...

At AWS, we use Artificial Intelligence to identify every customer need across all AWS services without customers needing to tell us about their issue, and then seamlessly connect them to the most appropriate resolution, eventually fulfilling the vision of a self-healing cloud. We are looking for a Sr PMT who is a relentless self-starter with a track record of delivery, someone with a true pioneering spirit who will boldly do what’s best for our customers. Leveraging a wide range of AI/ML and automation techniques, you will have an opportunity to invent, design, and launch solutions that will directly impact every customer across all AWS services. Key job responsibilitiesYou possess an established product management track record, experience launching mission-critical systems, and a well-rounded technical background in automation, GenAI / ML technologies. You must be able to thrive and succeed in an entrepreneurial environment, and not be hindered by ambiguity or competing priorities. This means you are not only able to develop and drive high-level strategic initiatives, but can also roll up your sleeves, dig in and get the job done. You will be responsible for defining the roadmap for automation initiatives in AWS Support, including how GenAI can be leveraged to expand automation coverage and delivery velocity. You will partner with multiple science and engineering teams to build cohesive user experiences across the tools used to deliver our world-class Support. You will be at the forefront of ML and Cloud technologies with interactions across the full breadth of AWS services.About the teamThe AWS Kumo team provides technology and trusted expertise that intelligently anticipate and resolve AWS customer needs, helping them adopt, optimize, and operate at scale. Kumo’s products, used by AWS customers and the support teams that help them, are vital to ensuring exceptional customer experiences on AWS. Our team packs a punch with principal level engineering, science, product, and leadership talent. We combine the culture of a startup, the innovation and creativity of an R&D Lab, the work-life balance of a mature organization, and technical challenges at the scale of AWS. We have unfettered curiosity and drive to help build “best in the world” support experiences that customers will love!BASIC QUALIFICATIONS- Bachelor's degree- Experience owning/driving roadmap strategy and definition- Experience with feature delivery and tradeoffs of a product- Experience contributing to engineering discussions around technology decisions and strategy related to a product- Experience managing technical products or online services- Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning- 3+ years of experience in a technical product leadership role focused on automation, GenAI and/or ML ...

Amazon is building the next generation of hardware and software products to support our global transportation network. Relay Fleet Tech owns multiple hardware and software products and tools focused on asset tracking, management, maintenance, and visibility for Middle Mile. Our primary customers are carriers, fleet operations, planning, and fraud prevention and mitigation teams. If you get excited about solving complex and impactful problems at scale, this role is for you.Our team is looking for a talented, motivated, and self-directed BI Engineer to join our team. As a BI Engineer, you will lead our team's metrics reporting and dashboards and work closely with the product and engineering teams to generate insights that will guide product development and execution for our customers.Data analysis 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 be gathering customer insights, mining data, making recommendations, and helping senior leaders make key business decisions. You will have the opportunity to dive into multiple transportation products and use data warehouse to gather insights.We are looking for someone with a broad technical background in data analytics/SQL/building data dashboards, strong business acumen, who takes ownership of their work, and is focused on customer needs. The successful candidate will communicate crisply in non-technical terms to senior management. They will have an ability to make data-driven conclusions and will be comfortable with ambiguity while working in a fast-paced dynamic environment. The candidate will also need to be a collaborator who can work with multiple internal and external teams to define and implement solutions that will yield benefits to Amazon customers around the world. This role could also be a good fit for someone who wants to transition to product management over time. Key job responsibilities- Develop and manage the business metrics reporting process and perform ad hoc reporting requests.- Own key executive reports and metrics that are consumed by Relay leadership- Generate actionable insights through the development of metrics, dashboards and deep dive analyses- Analysis of data and metrics to identify trends and support decision making, including written and verbal presentation of results and recommendations.- Engage directly with leadership to recommend business intelligence solutions.- Model complex/abstract problems and discover insights using statistics, data mining, and visualization techniques.- Automate processes by developing deep-dive tools, UIs, metrics, and dashboards to communicate insights to stakeholders.BASIC QUALIFICATIONS- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience with data modeling, warehousing and building ETL pipelines- Experience with data visualization using Tableau, Quicksight, or similar tools ...

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 ...

The Supply Chain S&OP team is looking for a Senior Business Intelligence Engineer. You will contribute to defining and building inventory placement success metrics, and finding ways to reduce distance to customers by placing the right items in the right Amazon building in order to increase delivery speed and reduce costs. You will chase defects in our systems, leaving no stone unturned to delight our customers with wider selection. This role will give you a unique view on Amazon systems, process and operations, interacting with planning teams, fulfillment centers and worldwide technical teams. If you are someone who has shown success in analyzing, diving deep in complex data, streamlining and identifying process improvement opportunities and pioneering new ways to do things, we’d like to talk to you. Key job responsibilitiesYou will lead critical performance management initiatives for inventory placement leveraging complex data management/visualization and presenting those to different levels within the company:- Design and own the right set of metrics measuring inventory placement performance- Recommend improvements to the placement strategy using modelling and large datasets. You'll guide planning teams and other relevant stakeholders with regards to the mix of products to place in Amazon buildings, maximizing selection and reducing distance to customers and spinning the Amazon flywheel!- Pioneer new ideas to increase speed and reduce delivery cost to customers- Pilot and implement your recommendation in production through smart configurations in Amazon systems- Develop the analytics required to visualize opportunities and measure progresses- Partner with worldwide technical teams to develop new featuresBASIC 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 ...

At Amazon, we're working to be the most customer-centric company on earth while leading the way in sustainable business practices. We are seeking a dynamic, innovative, and results-driven Technical Program Manager to join our Global Engineering Services - Sustainability & Automation team. This role will spearhead our efforts to decarbonize Amazon's operational infrastructure, with a particular focus on Material Handling Equipment (MHE) systems Scope 2 and 3 reduction. This role requires strong analytical skills, the ability to influence cross-functional teams, and a passion for driving Amazon's commitment to sustainability and operational excellence. The successful candidate will work closely with internal teams, external suppliers, and industry partners to align priorities and ensure the delivery of key milestones that support Amazon's Climate Pledge goal of reaching net-zero carbon emissions by 2040.Key job responsibilitiesStrategy Development and Implementation:o Identify key opportunities for emissions reduction and prioritize initiatives based on potential impact and feasibility. Includes Scope 2 and 3 impacts.Sustainability:o Develop and maintain a comprehensive carbon accounting framework for MHE systems, ensuring accurate tracking and reporting of Scope 3 emissions.o Develop and implement engineering design changes in MHE systems for energy efficiency measures.Cross-functional Collaboration:o Work closely with internal teams including Worldwide Operations Sustainability (WWOS), Global Procurement Organization (GPO), and Worldwide Sustainability (WWS) to ensure alignment of sustainability initiatives.o Engage with Product Development, Engineering, and Operations teams to integrate sustainability considerations into new product designs and operational processes.o Collaborate with Finance teams to develop business cases for sustainability initiatives and secure funding for key projects.Innovation and Pilot Programs:o Identify and evaluate emerging technologies and practices that could significantly reduce the carbon footprint of Amazon's operations in MHE space. o Drive efficiency improvement requirements for MHE products.o Writing and reviewing design and engineering specifications for technical assessment, testing and verification procedures and final validation. Including, safety checks, O&M and regulatory requirements.o Develop scalable frameworks to expand successful pilots across Amazon's global network by working with vendors.Data Analysis and Reporting:o Develop and track key performance indicators (KPIs) for sustainability initiatives, ensuring clear visibility into progress and impact.o Create comprehensive reports and presentations for senior leadership, summarizing the outcomes and learnings from sustainability projects.o Leverage data analytics to identify trends, opportunities, and potential risks in Amazon's sustainability efforts.A day in the lifeIf 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! 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 Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) PlanBASIC QUALIFICATIONS- • Bachelor's degree in Mechanical or Industrial Engineering.- • 5+ years of experience in designing, engineering, operations, or a similar role involving material handling systems- • Ability to understand full system development life cycle, energy-efficiency measures and automation.- • Strong analytical skills with experience in carbon accounting and life cycle assessment methodologies- • Excellent project management abilities with a track record of leading complex, cross-functional initiatives- • Strong communication skills with the ability to translate technical concepts for non-technical audiences and influence and collaborate with diverse stakeholders. ...

At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. Amazon is seeking a (Senior) Business Analyst to drive large scale projects, programs, and technical initiatives. In this role, you will be responsible for converting data into actionable business insights. The ideal candidate is an analysis expert who leverages a variety of data platforms and analytical tools to provide timely, meaningful, and consumable information. They build deep contextual and domain knowledge, and ensure data quality and build scalable tools. They communicate findings with the most effective and influential methods.As a (Senior) Business Analyst, you will be responsible for supporting the long-term planning. This role will be responsible for partnering with multiple stakeholders to forecast the business needs for the next 3 years. A critical part of this role is to develop stable models and to be able to take the stabilized models to the next level from an automation standpoint. This role requires exceptional communication and interpersonal skills with Operations, Finance, Recruiting, and HR stakeholders in a high-pressure environment. You will manage a high-visibility program and partner with all levels of leadership to exercise sound judgment where clear guidelines may not exist.Key job responsibilities- Own the development and maintenance of new and existing solution artifacts which are focused on driving efficiency within the business via analysis, metrics, and reporting dashboards.- Partner with operations/business teams to consult, develop and implement KPI’s, automated reporting/process solutions, and process improvements to meet business needs.- Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format.- Prepare and deliver business requirements reviews to the senior management team regarding progress and roadblocks.- Participate in strategic and tactical planning discussions.- Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support our business needs.BASIC QUALIFICATIONS- Bachelor's degree in supply chain management, operations, engineering, analytics or related field- 0-2 years of relevant professional experience conducting quantitative and qualitative analysis- 0-2 years of experience with Excel including use of lookups and pivot tables- 0-2 years of experience with Supply Chain Management concepts, e.g., forecasting, planning, optimization, and logistics ...

Have you ever wondered how Amazon ensures its procurement operations drive cost savings and efficiency across a global supply chain? Are you passionate about working with data to enhance decision-making and optimize procurement workflows? If you thrive in a fast-paced environment and want to make a significant impact on a global scale, we want to hear from you!We are seeking a talented and motivated Business Analyst to work as a CSO (Coupa Sourcing Optimization) configuration specialist on the Intelligence & Industrialization (I&I) team within the Global Supply Chain and Transportation Procurement/ Amazon Customs & Trade (GSCTP/ ACT) organization. In this role, you will work at the intersection of procurement, data, and systems, translating business requirements into scalable solutions that streamline procurement processes and enable informed decision-making.Key job responsibilities- Collaborate with procurement managers and operational stakeholders to define and document business requirements for sourcing projects.- Develop system configurations and data solutions that address procurement and operational needs, ensuring optimal use of the CSO platform.- Build and maintain dashboards, reports, and analytical tools to support procurement decisions and monitor sourcing performance.- Educate stakeholders on system functionalities, analytical results, and empower them with self service options.- Identify and minimize inefficiencies in procurement workflows.About the teamThe Intelligence & Industrialization (I&I) Team is a functional data analytics sub team embedded across GSCTP & ACT.Global Supply Chain and Transportation Procurement (GSCTP) is an organization under worldwide operations that manages over 100 third-party supply chain and transportation service providers for Amazon; holding strategic relationships with major providers across modes of transportation, and responsible for an annual spend in excess of $22B. GSCTP’s mission is to secure capacity from third-party providers, increase cost efficiencies of the business, expand supplier capabilities, and improve the quality of our products and services.Amazon Customs & Trade (ACT) is an expanding business unit under worldwide operations for Customs Brokerage services. Customs brokerage involves the coordination of a complex network of sellers, shippers, logistics service providers (LSP), compliance, and government authorities to facilitate clearance of goods for cross-border transportation. Timely submission of documents and coordination with customs agents to ensure hassle free clearance of shipments is a crucial step in the logistics process to ensure on-time delivery of products to our customers. ACT provides services to external customers, FBA, and internal teams such as Devices.BASIC QUALIFICATIONS- 1+ years of tax, finance or a related analytical field experience- 2+ years of Excel or Tableau (data manipulation, macros, charts and pivot tables) experience- Bachelor's degree or equivalent- Experience defining requirements and using data and metrics to draw business insights ...

It’s no secret that Amazon relies on technology to deliver compensation solutions to its customers. The On-Step Associate Compen$ation and Investment Strategy Team (OA$IS) builds complex compensation models that work across our business lines, globally. Our services support hundreds of thousands of associate pay records, and help our leaders make informed business decisions impacting billions of dollars a year in compensation. This remains a fast growing support function, and our technical journey has only begun. Our mission is to build the most efficient and optimal compensation recommendation engine, using our science and engineering muscle as our biggest advantage. We aim to leverage cutting edge technologies in big data, machine learning, and optimization techniques. To accomplish this, the On-Step Associate Compen$ation and Investment Strategy Team (OA$IS) seeks a talented Business Analyst who will own analytics and develop business requirements and solutions to drive compensation insights and investment optimization for our hourly associates on a step plan. As a member of this team, you will have an opportunity to be a thought leader in Step Plan Compensation by working with a group of talented Data Scientists, Business Intelligence Engineers, Economists, product managers, consultants, and business leaders to design the Amazon compensation structure of the future.This position requires superior analytical thinking, ability to quickly approach large ambiguous problems and apply analytics, technical, and engineering expertise to rapidly analyze, validate, visualize, prototype and deliver data driven recommendations. This position also requires significant cross functional activity and integration with Compensation, PXT, PXT Central Science, Operations, and Finance. Successful candidates must thrive in a fast paced environment.Responsibilities:- Perform complex analysis and data research to identify opportunities to reduce transportation costs through efficiency improvements, eliminate defect, improve customer experience, and support critical business decisions.- Design, develop, and establish KPIs and run complex network simulations to provide strategic insights to drive growth and performance.- Systematically identify data source/forecast error and follow through on the resolutions to ensure that future plans are updated with improved business processes.- Requires ability to perform/own reoccurring and ad-hoc business intelligence projects.- Develop standardized metrics to evaluate and benchmark pertaining to short and long term network planning and forecasting.- Pull and report data from numerous databases (using Excel, SQL and/or other data management systems) and proven capability to dive deep and utilize known research and problem solving techniques.- Communicate complex insights to stakeholders, both verbally and in writing.BASIC QUALIFICATIONS- 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- Bachelor's degree or equivalent- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders ...

Do you want to join an innovative team of engineers and analysts who use machine learning and analytic techniques to create state-of-the-art solutions for providing better value to Amazon's Sellers and Customers? Are you excited by the prospect of analyzing and modeling terabytes of data to solve real-world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Business Intelligence team within Defect Prevention and Reconciliation (DP&R).The Defect Prevention and Reconciliation team is looking for a Business Analyst who will enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format. You will analyze and solve business problems with focus on understanding root causes and driving forward-looking opportunities. You will communicate analysis and metrics insights to stakeholders and business leaders, both verbally and in writing. These analytics and metrics will help ensure we are focused on what’s important, enable clarity and focus, and partner with internal stakeholders to help drive the business of Fulfillment by Amazon (FBA) Selling Partners.Fulfillment by Amazon (FBA) is built around Amazon’s world class capabilities in ordering, fulfillment, transportation and Customer service. By leveraging our current scale and supply chain, FBA can provide a low cost alternative for fulfillment and enable third party Sellers to rapidly grow their business. Fulfillment by Amazon (FBA) is an Amazon service for our sellers. The FBA team partners with sellers and our Amazon fulfillment centers to create a seamless experience for sellers to leverage our world-class facilities. Key job responsibilities- Retrieve and analyze data using SQL, Excel, and other data management systems.- Monitor existing metrics and create/implement new metrics where needed, partnering with internal teams to identify process and system improvement opportunities.- Design and implement reporting solutions to enable stakeholders to manage the business and make effective decisions.- Support cross-functional teams on the day-to-day execution of the existing program implementation.- Drive small to medium operational enhancement projects.BASIC QUALIFICATIONS- Bachelor's degree or equivalent- 3+ years of business analyst, data analyst or similar role experience- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- Experience defining requirements and using data and metrics to draw business insights- Experience with Excel- Experience with SQL ...

At Amazon, we’re working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. The Labor Planning and Solutions (LP&S) Team within the Amazon Air network optimizes labor in the network, accounting for regularly changing assumptions and inputs. The LP&S team is seeking a skilled and motivated Business Analyst to identify and drive labor planning improvement opportunities across the AIR network. This person will work with key stakeholders in the organization to generate weekly labor plans, extract data from BI databases, develop quality metrics and analyses, execute cross-functional projects, and partner closely with tech and science teams.Key job responsibilities- Partner with stakeholders to understand business challenges and drive weekly optimization of labor for up to three Air gateways- Generate/extract data from our BI databases to support deep dive activities- Prioritize, optimize, and deliver timely updates for key metrics- Automate reports and tools with a combination of SQL and Excel- Uncover trends and correlations through data mining and analysis to develop insights that can improve the business and help make effective decisions- Graphically express data to allow easy access and understanding for a broad range of people- Up to 20% domestic travel BASIC QUALIFICATIONS- 3+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- Bachelor's degree or equivalent- Experience defining requirements and using data and metrics to draw business insights- Experience with SQL- Experience making business recommendations and influencing stakeholders ...

Amazon's success is built on a foundation of Customer Obsession. In the Reverse Logistics business at Amazon, we are looking for a results oriented candidate who will help build datasets, reporting that drives business insights, and platforms that support our Operations team's ability to Deliver Results. Key job responsibilitiesThe successful candidate will be able to:• Effectively manage customer expectations and resolve conflicts that balance client and company needs.• Develop process to effectively maintain and disseminate project information to stakeholders.• Manage the delivery of project milestones.• This opportunity requires excellent technical, problem solving, and communication skills. The candidate is not just a policy maker/spokesperson but drives to get things done.• Possess superior analytical abilities and judgment. Use quantitative and qualitative data to prioritize and influence, show creativity, experimentation and innovation, and drive projects with urgency in this fast-paced environment.• Partner with key stakeholders to develop the vision and strategy for customer experience on our platforms. Influence product roadmaps based on this strategy along with your teams.• Support the scalable growth of the company by developing and enabling the success of the Operations leadership team.• Serve as a role model for Amazon Leadership Principles inside and outside the organization• Actively seek to implement and distribute best practices across the operation• Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.• Partner with internal stakeholders across multiple teams, gathering requirements and delivering complete solutionsBASIC QUALIFICATIONS- Bachelor's degree or equivalent- Experience defining requirements and using data and metrics to draw business insights- Experience with SQL- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience making business recommendations and influencing stakeholders- Experience with Excel ...

Do you love using data to solve complex supply chain problems? Are you interested in innovating and developing world-class business intelligence solutions? We have the career for you!Amazon's Sales & Operations Planning (S&OP) team is seeking a Business Intelligence Engineer (BIE) to join our Analytics team. We deliver business intelligence/data science solutions to a diverse community of internal customers dedicated to supply chain optimization and forecast accuracy. Amazon has culture of data-driven decision-making, and demands business intelligence that is timely, accurate, and actionable.As a BIE, you must possess the ability to dive deep into large amounts of data, have a great business sense, curiosity, a proven ability to deal with complexity, and the desire to influence key strategic decisions with data-driven analysis and insights. This position requires excellent statistical and analytical abilities, deep knowledge of business intelligence solutions and data engineering practices, and the ability to partner with various teams across Amazon. The successful candidate will be a self-starter comfortable with ambiguity, capable of working in a fast-paced environment, possess a strong attention to detail, and able to collaborate with internal customers to understand and transform business problems into requirements and deliverables.Key job responsibilitiesAs a BIE on our team you will focus on exciting and challenging problems, including:- Identifying, developing and executing analyses to uncover areas of opportunity and present business recommendations to reduce fulfillment cost, optimize resources and protect customer experience.- Develop new forecasting models or improve existing approaches using scalable techniques.- Reporting key insight trends, using statistical rigor to simplify and inform business teams of noteworthy story lines that impact the business.- Working with other technology teams to extract, transform, and load data from a variety of data sources using SQL, scripting language and AWS technologies.- Continuously learning, evaluating and implementing various big-data technologies and solutions to optimize processing of extremely large data sets in an accurate and timely fashion.- Recognizing and adopting best practices in reporting, analysis, data integrity, test design, validation, and documentation.- Building automated data solutions and dashboards to enable your team to self-service data needs, allowing you to focus on answering hard and ambiguous problems.About the teamThe broad mission of the S&OP team is to align and optimize the Fulfillment Center (FC) network plan for labor and capacity constraints, ideal placement and purchasing volumes. We partner with internal stakeholders to continuously improve plan accuracy, visibility and tools to automate the planning process. Every week we provide an accurate short to medium term aggregate fulfillment plan for the US and CA fulfillment network in order to make local planning decisions at the FCs.BASIC QUALIFICATIONS- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field- 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 using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- 3+ years of machine learning, statistical modeling and time series modeling ...

SCOT's Automated Inventory Management (AIM) Planning team is seeking a Business Intelligence Engineer who enjoys the challenge of diving into complex problems and solving the unsolvable to help our executives make impactful decisions.In this role, you will support inventory management innovation, AIM Inventory Planning roadmap and system improvements to automate worldwide inventory management, and identify and drive long term free cash flow opportunities.You will work closely with Scientists, Engineers and Product Managers to build scalable, high insight- high impact products and lead retail inventory planning cycles, to enable top-notch Amazon global retail inventory efficiency strategy within our rapidly growing, dynamic business and influence Amazon's inventory management decisions on a day-to-day basis.Key job responsibilitiesIn this role you will…• Collaborate with and influence a wide set of stakeholders, providing thought leadership, product expertise, and business insight.• Own and execute retail inventory guidance planning cycles, as inputs into global Amazon financial plans and network plans• Work across AIM Planning, PMs, Engineers, Scientists, Finance, and SCOT teams to deliver the Inventory Planning BIE Roadmap.• Dive deep to create insights on how well Amazon is taking care of the customer as it relates to product availability and inventory levels• Drive changes through insights to improve a wide range of internal products that impact planning, buying and sourcing.• Develop improvements and invent new ways to look at / trends via an internal worldwide customer portal.• Interface with cross-functional teams to build centralized tools that will allow for rapid defect detection and repair.• Partner with Engineers and Software Engineers to design products and systems to transform and store billions of items using AWS redshift• Explore/analyze and work with Product Managers to understand customer behaviors, spot system defects, and benchmark our ability to serve our customers• Design and implement technical solutions with an appropriate analytics strategy and data set design; make technical trade-offs for long-term / short-term needs; and drive best practices in operational excellence, data modelling, and analysis.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 ...

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 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.We are hiring a Business Intelligence Engineer to identify strategic initiatives that will form the next generation of Amazon Logistics. As a Business Intelligence Engineer you will be working in one of the world's largest and most complex data warehouse environments. In this role, you will primarily work on designing and building automated reporting and dashboards using complex data. We are still in the nascent stage so it is an exciting opportunity to be involved from design-to-execution. As a BI Engineer, you will operate as a mix of hands-on builder and influencer.The team’s success depends on our ability to create actionable insight from the data that we and our partners generate. The ideal BIE candidate will have excellent analytical abilities, business acumen, high judgment, strong technical skills, and good written and verbal communication skills. This person will be a self-starter, comfortable with ambiguity, able to think big and be creative (while paying careful attention to detail), and enjoys working in a fast-paced dynamic environment. To be successful in this role, you should have broad skills in data mining, be comfortable dealing with large and complex data sets, while applying analytical rigor to solve business problems.This role is cross-functional - you will work closely with partners in Product Management, Training and Program Management to design and deliver data needs. You should be comfortable working in a dynamic, start-up environment, and seek data-driven decision-making. You should have strong analytical and communication skills and be able to work with product managers and business development teams to define key business questions and build data sets and models that answer them.Key job responsibilities- Develop complex queries for ad hoc requests and projects, as well as ongoing reporting.- Design, develop and maintain scalable, automated, user-friendly systems, reports, dashboards, etc. that will support our analytical and business needs- Design, implement, and support key datasets that provide structured and timely access to actionable business information addressing stakeholder needs.- Interface directly with stakeholders, gathering requirements and owning automated end-to-end reporting solutions.- Partner with analysts, data engineers, business intelligence engineers, and software development engineers across Amazon to produce complete data solutions.- Simplify and automate reporting, audits, and other data-driven activities; build solutions to have maximum scale and self-service ability by stakeholders- Proficiency with SQL queries to retrieve and analyze data. Learn and understand a broad range of Amazon’s data resources and know how, when, and which to use.- Estimate models, write analyses, and extract insights and provide business recommendations.About the teamWe serve AMZL’s Learning teams as the strategic thought leader, looking beyond where other teams are focused to drive transformative solutions that leverage technology and processes to improve learning outcomes and drive down the cost to serve.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 ...

North America Sort Centers (NASC) is looking for a Business Intelligence Engineer within the NASC S&OP Forecasting team. The Sort centers network is the critical middle mile solution in the Amazon Transportation Services (ATS) group that links the fulfillment centers to the last mile/customers. The experience of our customers is dependent upon our ability to accurately, timely, and efficiently sort and deliver packages across North America.We are looking for a detail-oriented, highly analytical, innovative, hands-on, technically skilled, and customer-obsessed analyst who will help in developing best-in-class solutions for the middle mile network, to deliver high quality customer experiences while minimizing cost and improving fulfillment speed. This role will require the candidate to work cross functionally and understand the long term requirements of the all programs that leverage the sort centers. The ideal candidate will have excellent analytical and communication skills and the ability to thrive in ambiguous situations. The role also offers the candidate the opportunity to work on the Operations Research based planning tools and partner with data and research scientists to define and develop new tools and improve existing products. Key job responsibilities• Taking the lead on the design, implementation, and delivery of BI solutions in a highly ambiguous and significantly complex problem space that have a long-term impact on a business, organization, or technology• Owning the analytics space including the BI architecture, tools and modeling to support the operational planning cycles• Strong quantitative skills to develop reporting mechanisms to deliver strategic insights• Collaborating with multiple stakeholders within ATS NASC team to drive solutions that will have a tangible impact to the business• Executing the OR based models and post processing the output• Working closely with Network Planners, Product Managers, Data Scientists and various planning teams to drive business decisions and alignment with business stakeholders• Deep diving gaps within forecasting tools and systems and provide feedback to the Data Sciences teamBASIC QUALIFICATIONS- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred)- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience with data visualization using Tableau, Quicksight, or similar tools ...

Have you ever ordered a product on Amazon and when that box with the smile arrived, wondered how it got to you so fast? Wondered where it came from and how much it cost Amazon? If so, the Amazon Global Supply Chain Optimization Technologies organization is for you. Watch this video to learn more about our organization, SCOT: http://bit.ly/amazon-scotThe Amazon SCOT organization is expanding our Direct Fulfillment (dropship) business and we are looking for a Senior Business Intelligence Engineer to join the team. Direct Fulfillment helps provide Amazon customers the broadest in-stock selection, at the quality and speed of delivery they have come to expect from Amazon at the best possible cost structure for Amazon. Direct Fulfillment allows Amazon to fulfill customer orders directly from our vendor’s warehouse and is one of the fastest growing supply channels at Amazon. The ideal candidate relishes working with extremely large volumes of data, enjoys the challenge of highly complex technical contexts, and above all, is passionate about data and analytics to impact business decisions. They should have strong analytical skills, independently blend data from multiple sources, drive consensus and connect business to data. They must also be passionate about partnering with the data scientists, business analysts and other business stakeholders & dive deep to identify root causes and provide actionable insights.They should be comfortable with technologies like EMR, Redshift and have ability to author complex dashboards that enable business to cut through noise. They should be a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail), excellent communication skills and enjoys working in a fast-paced and global team.Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation / AgeKey job responsibilities- Deep dive into operations execution and business problems, use analytical and statistical rigor to identify trends and opportunities to driv data-driven decisions- Improve business results through creating best-in-class metrics, analysis, visualizations, and data-driven storytelling- Adopt best practices in reporting and analysis: data needs, data integrity, test design, analysis, validation, and documentationBASIC QUALIFICATIONS- 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)- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience ...

As a Business Intelligence Engineer, you get a lot done. You work very efficiently and routinely deliver the right things. You have a department-wide view of the analytical solutions that you build, and you consistently think in terms of automating or expanding the results company-wide. You have performed multiple complex, and business critical analyses that serve major parts of the business. Your work and your approach to work are exemplary – you drive best practices and set standards for your team. Other analytical individuals in your department regard you as an expert in one or more analytical areas.You show strong analysis making technical trade-offs between your group’s short term and long term business needs, and the needs of the company as a whole. When confronted with discordant views, you find the best way forward and convince your team. You are vocally self-critical. You proactively contribute to knowledge-sharing across the Amazon analytical community. You demonstrate resilience and navigate difficult situations with composure and tact. Amazon has a culture of data-driven decision-making, and demands business intelligence that is timely, accurate, and actionable. Our environment is very fast-paced, and requires someone who is flexible, detail-oriented, passionate about the customer and comfortable working with numerous stakeholders across the organization and worldwide. We are looking for a Business Intelligence Engineer to help us extract meaning from large volumes of data to make the right business decisions. The candidate will have to set the right vision, strategy and roadmap and work alongside with stakeholders in the organization to make it happen. The candidate knows and loves working with business intelligence tools, can model multidimensional datasets, and can partner effectively with business leaders to answer key business questions. You are analytical and creative, and you don’t quit. Primary Responsibilities · Engage with leadership and diversified customer groups to understand the needs and recommend business intelligence solutions. · Partner with Data engineering team to define the data elements and data structure that the team should leverage to enable analytical capabilities. · Design, implement, and support platforms that provide business teams ad-hoc access to large datasets (eg data visualization tools for non-tech business users) · Interface with business customers, gathering requirements and delivering complete reporting solutions. · Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. · Participate in strategic & tactical planning discussions. · Standardize data and report consumption across all customer groups. · Make recommendations for new metrics, techniques, and strategies to improve the operational and quality metrics. · Be connected and influential within the Amazon analyst community. Work with Data engineering, Software development teams to enable the appropriate capture and storage of key data points. 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 ...

Are you excited about uncovering actionable insight to improve delivery experience? Do you get excited about operating in an ambiguous and fast moving environment? Are you looking for an opportunity to work with cross functional teams, and build decision-driven analytics solution for work that is critical to Amazon’s continued ability to deliver smiles in communities? The DSP Analytics Team has an exciting opportunity for a Business Intelligence Engineer (BIE) to make an impact on the Amazon’s Delivery Service Partner (DSP) program.The goal of Amazon’s DSP organization is to exceed the expectations of our customers by ensuring that their orders, no matter how large or small, are delivered as quickly, accurately, and cost effectively as possible. To meet this goal, Amazon is continually striving to innovate and provide best-in-class delivery experience through the introduction of pioneering new products and services in the last mile delivery space. Come join us and help us make history!We are looking for an innovative and highly-motivated BIE who can think holistically through multidimensional problems to understand how systems work together to identify and execute both tactical and strategic projects which drive improvements to DSP programs. You will work closely with engineering & science teams, product managers, program managers, business coaches, capacity planners and org leaders to deliver end-to-end data solutions aimed at continuously enhancing overall capacity planning of DSP programs. In this role, you will dive deep into disparate datasets to improve our understanding of various components involved in Last Mile delivery, build decision-driven analytics to enable DSP growth and increase DSP capacity flexibility and reliability, improve tooling to scale up capacity planning processes across programs, and extract actionable insight to level up plan accuracy and process efficiency.Key job responsibilities- Earn the trust of your customers and stakeholders by continuing to constantly obsess over their business use cases and data needs, and helping them solve their problems by scaling data and tech solutions.- Manage and execute analytics solutions end-to-end including project management, data gathering and modeling, problem solving, and communication of insights and recommendations.- Build high quality data architecture and ETL data pipelines using SQL, Scripting and other ETL tools.- Retrieve and analyze data using a broad set of Amazon’s data technologies (ex. Redshift, AWS S3, Amazon Internal Platforms/Solutions) and resources, knowing how, when, and which to use.- Design, build, and maintain automated reporting, dashboards, and ongoing analysis to enable data driven decisions across our team and with partner teams.- Report key insight trends using statistical rigor to simplify and inform the larger team of noteworthy trends that impact the business.- Partner with scientists to scale and expand science models through model and architecture improvements- Be connected and influential within the Amazon BI and Data Engineering (DE) community. Work with DE and software development teams to enable the appropriate capture and storage of key data points. About the teamWe are the centralized Amazon DSP Analytics team with the vision to build best-in-class analytics solutions to support our internal and external DSP stakeholders and partners for making data driven decisions org-wide. We believe in promoting and using ideas to disrupt the status quo. In our team, you will have the opportunity to dive deep into complex business and data problems, drive high-impact and large scale data solutions and raise the bar for engineering and operational excellence. We have exceptionally talented and fun loving team members, and we love to share ideas and learnings with each other. 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- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business ...

Amazon Inbound Transportation Business Intelligence is seeking a passionate candidate who can leverage data to deliver actionable insights that impact business decisions and improve the customer experience. Amazon's transportation operations encompass the delivery of shipments from fulfillment centers and third-party locations to customers worldwide. Given the company's focus on faster customer delivery, the successful candidate must be driven to identify and build solutions that will help optimize the transportation network and enhance the customer experience.This role offers the opportunity to influence and drive a growing business area. The Business Intelligence Engineer will partner with various Amazon Inbound Transportation (AIT) teams to define, develop, and manage the cross-functional strategy for U.S. domestic inbound transportation. They will be accountable for identifying gaps and opportunities for improvement, keeping stakeholders and leadership informed of progress. The BIE will collaborate with a diverse set of stakeholders, including product managers, program managers, data scientists, software development engineers, and other partner teams across all regions and transportation modes of U.S. domestic inbound.The BIE will build foundational data pipelines and data tables, analyze large data sets, prove and disprove hypotheses, automate solutions, and create self-service dashboards and reports. This person will consistently employ high judgment, make data-driven decisions, and lead by example, influencing the AIT BI team to do the same.Key job responsibilities- Develop and lead design and execution of reporting solution for AIT- Work with product managers, data engineers, data scientists, and software engineers to define reporting needs- Build self-service tools and dashboard that not only gives aggregated metrics but also provide ways to pull granular data for defect verification, customer communication, deep-dives, etc.- Perform deep-dives and data analysis. Provide recommendation on new metrics or business decision.- Provide inputs in team and org level strategic planning, lead org/team discussionsAbout the teamAmazon Inbound Transportation (AIT) is responsible for optimizing cost-effective flow throughout Amazon’s inbound network while providing Amazon with greater control, performance, and inbound visibility. The AIT BI team within AIT is responsible for inbound data analytics and engineering support for the AIT org and various stakeholder and partner teams.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- 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- Knowledge of SQL and data warehousing concepts- Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred) ...