Bellevue

We are looking for an Assistant Manager who can bring Amazon’s customer obsession to life in a grocery environment. You will direct day-to-day store operations and lead a team of engaged grocery associates to deliver a one of a kind shopping experience for customers. You will play a vital role in maintaining a vibrant store culture based on customer obsession, trust, respect, continuous learning, safety, and fun.Assistant Managers are experienced in leading large teams to deliver against standard operating procedures. Assistant Managers are natural leaders who are comfortable with change and are always looking for ways to improve their operation. Assistant Managers demonstrate a strong work ethic, excellent ownership, the ability to meet deadlines, a willingness to learn new things, and a commitment to the customer and employee experience.Key job responsibilities- Act as the manager on duty in the store, focused on delivering results while enabling a positive customer and employee experience.- Manage a team of associates, including relaying expectations, managing performance, providing regular feedback, and supporting career development.- Delegate effectively to drive results in your store, including executing standard operating procedures, identifying areas of improvement, implementing solutions, and providing ongoing feedback to store employees.- Maintain a culture of engagement by routinely listening to feedback from leaders, associates, and customers and implementing solutions to solve problems.- Identify areas of opportunity, determine root causes, and seek support to implement solutions to continuously improve the overall performance and culture of the store. - Maintain a safe, clean, and secure environment to ensure the security of all employees, customers, and products in your store. - You are comfortable working in a physical environment. You have the ability to lift up to 49 pounds and be on your feet for a shift.- Must be able to work a flexible schedule/shift/work area, including weekends, nights, and/or holidays.Candidates must be at least 18 years of age. Amazon does not sponsor for immigration, including for H-1B, TN, and other non-immigrant visas, for this role.About the teamAmazon Fresh Stores is a unique extension of Amazon.com that focuses on in-person shopping experiences throughout our grocery stores. We are passionate about creating a shopping experience that provides our customers with a wide selection, low prices and convenience. If you enjoy being both a leader and an inventor and you want to join a fast-paced, cutting-edge team that is making history and breaking new ground for Amazon’s grocery stores, this is the place for you.BASIC QUALIFICATIONS- 2+ years leadership experience in a customer-facing retail, hospitality, or grocery environment, or 2+ years of Amazon (Blue Badge/FTE) experience, or Bachelor's degree from an accredited university. ...

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.Kuiper Productivity Engineering (KPE) is seeking an Atlassian Administrator with Infrastructure and automation experience. This role requires in-depth knowledge across the Jira, Confluence, Bitbucket, and Bamboo services along with DevOps knowledge for upgrades and maintenance in the AWS GovCloud environment. This is a hands-on position where your daily activities will range from strategic planning to new system development to supporting the customers that depend on our services. Key job responsibilities- Subject Matter Expert on all workflows end-to-end, customizations, marketplace apps, management and configuration in Atlassian.- Upgrade, configure, operate, and support Jira, Confluence, Bitbucket, and Bamboo services.- Develop customized solutions, including design, implementation, quality control, end-to-end testing plans in multiple environments (dev/test/stage/prod), troubleshooting and bug fixing. These solutions may require custom code development, API creation, and integration with other AWS services.- Troubleshoot application issues and add-on integration issues in the Atlassian implementation.- Determine ways to optimize/improve setup and workflows, as well as identify where functionality may or may not meet user requests.- Develop metrics dashboards and advanced filters to provide end-users and business leadership with meaningful operational/performance metrics and status reports.- Develop automation for Blue/Green deployments and post-upgrade testing.- Install, manage and administer add-ons, plugins, and extensions for Atlassian Data Center products.- Develop process workflows for Jira including field configurations, screen schemes, permission schemes and notification schemes.- Research, Diagnose, and Monitor performance bottlenecks.- Write documentation and provide technical training for cross-functional teams.Export Control Requirements: Due to the need to access certain federal controlled information, you must be a U.S. citizen for consideration.A day in the lifeIn this role, you will function as both an Atlassian administrator and DevOps Engineer. You will operate two distinct Atlassian stacks in AWS GovCloud, develop automation for upgrades/patching/testing, and enhance observability of the systems. You will work with stakeholders and senior engineers to design and develop custom solutions and integrations between Atlassian tools and other services in a secure manner.About the teamKPE builds and operates the core productivity solutions supporting Kuiper’s operations and engagements with business partners. Our services set the example for operational excellence and invisibly scale as the business grows, while maintaining the highest standards of security and regulatory compliance. We innovate on behalf of our customers to automate and simplify their workflows, enabling them to focus on high-value activities.BASIC QUALIFICATIONS- Experience in automating, deploying, and supporting large-scale infrastructure- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust- Experience with Linux/Unix- Experience with CI/CD pipelines build processes ...

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 ...

AWS Databases, Analytics and AI/ML Products and Services is one of the largest and fast growing business unit within AWS. We are working on revolutionary business intelligence system within database, analytics and AI/ML organization to support fast growing business needs. Are you a passionate Business Intelligence Engineer who wants to make a real business impact on a key AWS business?We are looking for seasoned Business Intelligence Engineer to join a BI team for Databases, Analytics and AI/ML business. As a BI Engineer, you will be building complex business intelligence applications using AWS Analytics stack. You should have deep expertise and passion in working with large data sets, data visualization, deriving insights from large complex datasets, writing complex SQLs, performance tuning, bringing data from disparate data stores, programmatically identifying patterns and developing visualizations. You should have excellent business acumen and communication skills to be able to work with business owners to develop and define key business questions and requirements. You will provide guidance and support for other engineers with industry best practices and direction. Amazon Web Services (AWS) has culture of data-driven decision-making, and demands timely, accurate, and actionable business insights.From technology perspectives, you will have opportunities to (and will be asked to) be exposed to the modern agile cloud-based data technologies. The team is empowered to select the right technology, if necessary, based on customer needs and you will have the full set of AWS services in your toolbox. AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services.About the teamOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. About AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.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 ...

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 ...

Business Analysts are responsible for converting data into actionable business insights. They are analysis experts who leverage a variety of data platforms and analytical tools to provide timely, meaningful, and consumable information. They build deep contextual and domain knowledge. They ensure data quality and build scalable tools. They communicate findings with the most effective and influential methods. Amazon is seeking an exemplary Business Analyst with broad technical skills to develop data visualizations and build automation solutions that drive business decision making and process improvement. The ideal candidate will draw upon advanced analytical, problem solving skills, and passion for delivering business insights and analytics. We look for candidates who are excellent communicators, self-motivated, flexible, hardworking, and who like to have fun.The complexity of research and skills for a Business Analyst is well beyond basic data entry and extraction. It involves design and development of automated data pipelines, sophisticated analytical modeling and intuitive data visualization. This role will directly be responsible for maintaining front end code using Python, SQL, HTML, Java, and R, or other similar coding languages. Proficiency in the aforementioned languages is not required, but an ability to be a quick learner and gain proficiency is required for a successfully candidate. This role will have high level visibility due to the nature of the toolsets being maintained, built, and the network impact of analysis conducted. This role has great exposure to a broad scope that can really help shape the future of operational fulfillment and promotes career progression.Key job responsibilities- Provide data management processes such as accessing raw data feeds, building queries and macros, writing VBA code, organizing data and designing reports that present status-at-a-glance visualization for business performance.- Retrieving and analyzing large sets of data using Excel, SQL, and other data management systems.- Designing and implementing reporting solutions to enable stakeholders to manage the business and make effective decisions.- Taking ownership of reporting processes to ensure that each report is accurate and timely with a high degree of customer focus in resolving data discrepancies.- Building and managing related key performance indicators (KPIs) to measure, control, and benchmark reporting processes.- Monitoring existent metrics, building new metrics, and partnering with internal teams to identify process and system improvement opportunities.- Supporting cross-functional teams on the day-to-day execution of the existent program implementation.- Generating complex queries to dive deep on process issues- Innovating to improve customer experienceBASIC QUALIFICATIONS- 3+ years of tax, finance or a related analytical field experience- 3+ 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 with Excel- Experience defining requirements and using data and metrics to draw business insights- Experience with SQL- Experience making business recommendations and influencing stakeholders- Bachelor's degree or equivalent ...

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 ...

The Production Planning Team (PPT) needs leaders like you to deliver the future of labor planning for our North America Customer Fulfillment Network (NACF). At Amazon, delivering great experiences for our customers is a top priority. The PPT is reinventing the way Amazon plans labor as our network continues to grow. We’re setting the bar high with new automated solutions including advanced modeling and machine learning to improve accuracy and efficiency of the process. You can be an owner of this innovation and stamp your place in history as a part of the world’s most customer centric company. To join us on this journey, we are looking for individuals with strong analytical and dive deep skills who will execute high-level network decisions that have an impact at a big scale. This is a high visibility role responsible for pioneering Amazon’s Production Planning Team process with the Planning and Execution (PLEX) organization. Key job responsibilities→ Work with FC and regional leadership team→ Build the foundation and implement an innovative model for centralized labor planning across NACF. → Deliver action plans for senior managers and directors, while being a trusted partner to these network leaders. → Leverage central teams (i.e. S&OP, Central Flow, Process Engineering) to drive process and operations execution improvements.→ Use data and bias for action to work through ambiguity and deliver results. A day in the life “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!” “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) Plan”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- Experience defining requirements and using data and metrics to draw business insights- Experience with Excel- Experience with SQL- Experience making business recommendations and influencing stakeholders ...

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 ...

Amazon Freight is building a disruptive transportation product with the vision of redefining shipping for its customers. The goal is to develop easy-to-use, reliable and transparent transportation services that raise the customer experience bar relative to all existing shipping alternatives. In doing this, Amazon is deeply studying customer shipping needs and building innovative, market-leading solutions that will organically attract customers towards our services.We are building an exciting new business in this space and seeking a Business Analyst to support data analytics for Amazon Freight’s Less-Than-Truckload (LTL) business. This position requires high judgment, excellent analytical skills and a creative mind to invent solutions that improve the customer experience. It offers broad exposure to various business, operational, financial, product and technical teams across Amazon Freight.Our ideal candidate is someone who has strong technical and analytical skills, enjoys building a new business and the ambiguity that comes with that. You should thrive and succeed in an entrepreneurial environment and won't be hindered by ambiguity. If you enjoy innovating, thinking big and want to contribute directly to the success of an industry changing business, you may be a prime candidate for this position.Key job responsibilities· Generate insightful analysis, reporting, and data visualizations to answer critical business questions, proactively identify notable trends, and communicate business performance· Translate data into actionable insights for stakeholders while proactively identifying new areas of opportunity to drive further improvements· Apply expertise in data mining and modeling leveraging multiple data sources to uncover unique insights, identify key performance drivers, and build predictive models· Work backwards from your end-customer to define, design, and execute each work item with an emphasis on improved metrics, productivity, and efficiency· Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentationBASIC QUALIFICATIONS- Bachelor's degree in business, engineering, statistics, computer science, mathematics or related field- 1+ years of tax, finance or a related analytical field experience- 1+ years of Excel or Tableau (data manipulation, macros, charts and pivot tables) experience- Experience defining requirements and using data and metrics to draw business insights- Experience creating complex SQL queries joining multiple datasets, ETL DW concepts- Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc.- Experience using databases with a large-scale data set- Good oral, written and presentation skills combined with the ability to be part of group discussions and explaining complex solutions ...

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 ...

This is an exciting opportunity to join a new emerging business in transportation. We are a startup team looking for a highly driven, entrepreneurial, analytical and customer-obsessed individual to help create and lead the Business Development strategy. The ideal candidate will be excited by launching a new program from the beginning of its life cycle, and will have familiarity with leading sales generation with both small and large customers. We are reinventing the approach to selling in this industry and looking for a candidate who can partner with Product Management and Tech as we challenge the status quo and invent on behalf of our customers.Key job responsibilities• Drive revenue, adoption and market segment share for our product• Earn trust of customers and recommend product solutions that fit their business needs• Measure performance, articulate root-cause analysis and make recommendations for improvement areas• Relay market needs and customer feedback to internal Amazon teams including Product Management and Technical• Create program goals and metrics, track progress and manage through obstacles to achieve your objectives• Assess risks, anticipate challenges and provide escalation management when necessary• Meet or exceed targets for customer and/or feature spend adoptionA day in the lifeEngage both internally and externally to Amazon to understand key customer painpoints, generate strategic and impactful solutions, and drive adoption via active sales tactics of your product line. BASIC QUALIFICATIONS- 3+ years of business development, partnership management, or sourcing new business experience- Bachelor's degree or equivalent- Experience using data and metrics to determine and drive improvements ...

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 ...

Have you ever ordered a product on Amazon and, when that box with the smile arrived, wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon? If so, the Amazon Supply Chain Optimization Technology (SCOT) organization is for you. SCOT offers a unique opportunity to create and see the direct impact of your work on billions of dollars’ worth of inventory, within one of the world’s most advanced supply chains, at a massive scale.Watch this video to learn more about our organization, SCOT: http://bit.ly/amazon-scotAt the center of SCOT is our lab team. We own large-scale, in-production A/B testing systems to drive innovation in production systems. Inventory planning involves many algorithms to buy inventory in the right quantities, at the right frequencies, from the right vendors, and assign it to the best warehouses to fulfill customer demand, optimizing long-term free cash flow for Amazon. Our experimentation platform is critical in driving continued optimizations to the many algorithms behind Amazon’s worldwide supply chain. We are hiring and are especially looking for Business Intelligence Engineers (BIE).Finally, here are some more reasons you might find this opportunity exciting:Being part of a team that is at the heart of the most sophisticated supply chain and decision-making system on the planet.Working at the intersection of analytics, science, and engineering to impact the Amazon user experience (by helping supply chain teams run experiments that allow for speed and same-day availability, for example), saving hundreds of millions of dollars using cutting-edge science and technology along the way.Being part of a team that values creativity and welcomes outside-the-box thinking (thinking big!).Being part of a team with a high emphasis on a positive work culture of collaboration.Being part of a fast-growing team with many growth opportunities.Key job responsibilitiesAs a Business Intelligence Engineer in SCOT Lab, you will solve real-world problems by analyzing large amounts of business data, defining new metrics and business cases, designing experiments, creating models, and collaborating with teammates in business, software, and research. The successful candidate will have a strong analytical background and can thrive in an environment that leverages statistics, machine learning, operations research, and business analysis. As a BIE in the SCOT Lab team, you will work closely with some of the brightest software engineers, scientists, economists, and product managers to solve highly complex supply chain challenges.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 data modeling, warehousing and building ETL pipelines- Experience writing complex SQL queries- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field ...

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 ...

Are you excited to drive high-visibility, long term Supply Chain and Transportation plans to help Amazon meet future operational and analytics needs? Looking for a motivated individual with strong analytical skills, supply chain and transportation knowledge, and technology experience to join our Supply Chain Execution Planning and Analytics team as a Business Intel Engineer (BIE). This position partners with several functional groups such as supply chain optimization, fulfillment technology, sales and operations, transportation, and several other key stakeholders throughout the process. As a BIE, you will develop and implement ideas that drive continuous improvement by simplifying processes and driving automation. This position provides opportunities to influence one of the high visibility/high impact areas in the organization.Key job responsibilities - Use analytical and statistical rigor to solve complex problems and drive business decisions - Mine data from database tables (ex. Redshift, MySQL, Oracle) using SQL and log files by writing scripts (ex. PERL, Python, UNIX) - Develop deep-dive tools, UIs, metrics, and dashboards - Serve as liaison between the business and technical teams to achieve the goal of providing actionable insights into current business performance. This will require data gathering and manipulation, synthesis and modeling, running simulations, problem solving, and communication of insights and recommendations.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) ...

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 ...

The World Wide OPS Finance S&A (Standardize & Automate) team is looking for a customer focused, analytically and technically skilled Business Intelligence Engineer (BIE) to join the team.The role will require an end-to-end understanding of data and reporting; this role requires an individual with excellent analytical abilities as well as outstanding business acumen. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and enjoying working with large data sets. The successful candidate will be also an expert on creating advanced dashboards, connecting data sources through APIs, outstanding SQL skills and also passionate about presenting data in a very nice and easy-to-digest way.Key job responsibilities- Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.- Ensure data accuracy by validating data for new and existing tools.- Combine knowledge of statistical methodology and analysis with programming skills to support complex analyses.- Collaborate on the design, development, maintenance, and delivery/presentation of forecasting models, metrics, reports, analyses, tools, and dashboards.- Respond to a variety of on-demand ad-hoc analytical requests as needed.- Implement training and documentation solutions that enable business stakeholders to get the most out of our self-serve reporting tools.BASIC QUALIFICATIONS- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets- Experience in the data/BI space- 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) ...

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 ...