Business Intelligence

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 ...

At AWS Support, our ability to quickly connect customers with the right information is critical to their success. As our Semantic Data Specialist, you'll be the architect of our knowledge structure, primarily focusing on designing and maintaining the ontology that powers AWS re:Post. Your expertise in semantic technologies and ontology development will directly impact millions of AWS customers, enabling them to find solutions faster and more intuitively. Without your skills in organizing and structuring our knowledge base, it could become a labyrinth, hindering rather than helping our customers. You'll be the bridge between raw information and accessible knowledge, ensuring that every piece of content is discoverable and contextually relevant. Your role is crucial in transforming our support content from a collection of articles and questions and answers into an interconnected web of knowledge that anticipates and meets our customers' needs.Key job responsibilitiesYou'll lead the development and maintenance of our knowledge ontology, working closely with content creators, data scientists, and engineering teams. Your role will involve not just structuring information, but also shaping how our customers interact with AWS knowledge.- Design, develop, and evolve the ontology that underpins AWS re:Post and internal knowledge management systems, ensuring it accurately represents the complex world of AWS services and customer needs- Implement semantic technologies to enhance content discoverability and enable more intuitive navigation- Collaborate with content teams to apply consistent metadata and taxonomies across support knowledge content- Analyze user behavior and search patterns to continually refine and optimize the ontology- Work with engineering teams to implement ontology-driven features that improve the customer experienceA day in the lifeYour day might start by reviewing feedback from customers and support teams, identifying areas where the current ontology could better help users find the right self-service content. You could analyze a request to update the ontology to accommodate a new AWS offering, ensuring it fits into the existing structure while improving content discoverability. Later, you could be working with data scientists to refine machine learning models that suggest relevant content based on user queries. Throughout the day, you'll be the go-to expert for questions about knowledge structure and metadata. You'll make decisions on how to evolve the ontology to keep pace with AWS's innovation, with the goal of helping customers find the self-service content they need to resolve their issues efficiently.About the teamAWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.BASIC QUALIFICATIONS- You have a degree in Library Science, Information Systems, Linguistics, or equivalent professional experience- 3+ years of relevant work experience- You're proficient in ontology engineering tools and familiar with Semantic Web technologies- Your analytical skills are strong, allowing you to derive insights from user behavior data- You have excellent communication skills, able to explain complex concepts to both technical and non-technical audiences ...

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.Do you want to be an integral part of the world's transition to the cloud? The AWS Analytics and Data Solutions (ADS) team is seeking for a Business Intelligence Engineer (BIE) with a combination of superior analytical abilities, business acumen, business judgement, curiosity, technical skills, and written and verbal communication skills to join our team.Data-driven decision-making is at the core of Amazon’s culture and people who are exceptionally talented at analyzing large sets of data to build insights are critical. Your work will directly impact the decisions and strategy of the entire AWS Infrastructure Services org and our customers. You will be gathering customer needs and insights, mining large and diverse data sets from across AWS Infrastructure, building visualizations and tools for our business partners, generating insights to help senior leaders make critical business decisions. Hence, the successful BIE will not only possess the expertise and passion for analyzing data, designing metrics to measure the performance of the business, and building reporting capabilities and tools, but also will interact directly with business leaders and teams that rely on the metrics and analyses that they produce.The business intelligence engineer must be a self-starter, comfortable with ambiguity, able to think big and be creative (while still paying careful attention to detail), and enjoy working in a fast-paced, dynamic environment. If you are excited about data, are results-oriented, and want to join a growing analytics team within Amazon - this role is for you! Key job responsibilities - Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support the needs of the business. - Apply deep analytic and business intelligence skills to extract meaningful insights and learning from large and complicated data sets. - Be hands-on with ETL to build data pipeline to support automated reporting. - Serve as liaison between the business and technical teams to achieve the goal of providing actionable insights into current business performance, and ad hoc analyses to support future improvements or innovations. This will require data gathering and manipulation, problem solving, and communication of insights and recommendations. - Build various data visualizations to tell the story of business trends, patterns, and outliers through rich visualizations. - Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.About the teamWhy AWS? Amazon 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.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred 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.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.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.Mentorship and 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 ...

Data Engineer Come build the future as a Data Engineer at Amazon, where you will be inspired working along best-in-class inventors and innovators! You will have the opportunity to create meaningful experiences that deliver on the ever-evolving needs of our customers, and your work will impact millions of people around the world. As an Amazon Data Engineer, you will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable. You will find that there is an unlimited number of opportunities within Amazon, where developing your career across a wide range of teams is highly supported. We are committed to making your work experience as enjoyable as the experiences you’ll be creating for our customers.Apply now and you will be eligible for Amazon Data Engineer positions that are based on your preferred location, team, and more. We’re hiring across Amazon Stores in the United States and Canada. Teams with available positions include, but are not limited to:• Consumer Technology: Build new generation features and products for amazon.com, constantly improving the Customer and Seller experience for billions around the globe. Whether building site wide features such as reviews and recommendations, category specific software for the likes of Pharmacy, Electronics, Digital Software and Video Games or seller infrastructure, there are a variety of complex problems to tackle using a range of technologies in the design of your technical solutions. • Operations Technology: Shape the future of transportation planning and execution on a global scale, that impacts hundreds of fulfillment centers, thousands of Amazonians, and millions of customers across the world. Your technology will support thousands of operators worldwide to design, build and run the best-in-class Amazon transportation network. We are building intelligent software to make transportation more reliable, faster, and less costly, providing a better and less expensive experience for our customers.• Human Resources Technology: Create a seamless experience for millions of Amazonians and/or candidates. Whether supporting technologies for onboarding, time and attendance, compensation, amazon.jobs, or recruiting, you’ll deliver robust feature sets, elegant designs, intuitive user interfaces and systems that make it easy for Amazonians to excel at performing critical business functions.About Us: Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur 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. We care about your career growth and strive to assign opportunities based on what will help each team member develop into a better-rounded contributor.Inclusive Team CultureHere at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Key job responsibilities• Design, implement, and support a platform providing secured access to large datasets.• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.• Tune application and query performance using profiling tools and SQL.• Analyze and solve problems at their root, stepping back to understand the broader context.• Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use.• Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume using AWS.• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets.• Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Proficient in SQL- Experience with data modeling, warehousing and building ETL pipelines- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS ...

CMS Data Platform team’s mission is to empower Case Management tenants to make data driven decisions and derive insights.Join us as a part of the talented Paragon Analytics Team of in the SPX Org and become a contributing member of a team that is redefining the future of support and experience across multiple tenants. With access to vast amounts of data, cutting-edge technology, and a diverse team of talented individuals, you will have the opportunity to make a meaningful impact on defining how customers engage with our product and work alongside of the product team to make a measurable impact. Together, we will drive innovation, solve complex problems, and shape the future of e-commerce.As a BIE II, you will help develop an insightful platform provide insights from Paragon as a product, influence the product roadmap and contribute to the “CMS Insights Suite” of actionable datasets and metrics that support tenants covering both retrospective and near real time reporting use cases.The BIE II will collaborate with the product and tech teams across Paragon and it's partners teams to gather requirements, structure scalable and performant data solutions, and gain a deep understanding of key datasets. A successful candidate will be highly driven, self starter and should have passion for data. The candidates is expected to be expert with SQL with working knowledge of Python and continually seek opportunities to inject advanced analytical,(statistics and science) based techniques.Key job responsibilitiesHere are key job responsibilities for a Business Intelligence Engineer role:BI and Data Analytics- Lead complex data analysis projects to identify opportunities for improvement and optimization across the organization- Develop and implement innovative BI solutions to create insights into the product capabilities and performance as well as drive optimal operational efficiencies by gathering data from various sources.Technology Integration and Optimization:- Optimize the performance, scalability, and reliability of the organization's data infrastructure and reporting systems- Engage in measuring data quality, A/B testing launching and managing metric catalog and curated data data layer- Ensure the integrity, security, and governance of the organization's data assetsStakeholder Engagement and Reporting:- Communicate data-driven insights and recommendations to the stakeholders - Collaborate cross-functionally with teams across Paragon to drive strategic goals through data driven decision makingTeam Development and Mentorship:- Mentor and guide junior team members in the application of advanced data analysis, business intelligence, and process improvement methodologies- Foster a culture of continuous learning and process improvement within the teamBASIC QUALIFICATIONS- 4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business- 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- 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- 4+ years of experience in Data/BI space ...

Are you passionate about transforming data into actionable insights? The Customer Service Security - Application Security team seeks an innovative and results-driven Business Intelligence Engineer to join our team. In this role, you will transform data into actionable insights, leveraging cutting-edge data products to drive high-impact security decisions. You'll dive deep in our data, identify root causes, and think ahead to uncover new patterns and opportunities. Collaborating closely with security engineers and software development engineers, you will use data to guide the resolution of security issues. Join us today to enhance Amazon's security posture through data-driven solutions and play a key role in shaping our data-informed security strategy.Key job responsibilities1. Develop robust, extensible, and scalable Business Intelligence solutions for security problems.2. Create and refine data strategies, making technical trade-off decisions for short and long-term requirements.3. Bridge communication between business and engineering teams to provide actionable insights into business performance.4. Conduct ad-hoc investigations to support future improvements and innovations.5. Gather and manipulate data, solve problems, and communicate insights and recommendations clearly.6. Write high-quality SQL queries and Python code to retrieve and analyze data efficiently.7. Build compelling data visualizations that illustrate business trends, patterns, and outliers.8. Stay current with BI tools, technologies, and best practices to continually improve solutions.About the teamThe Customer Service Security - Application Security team provides proactive security guidance and support to an Amazon business unit. We address security early in the software development lifecycle by providing guardrails and paved paths. We also bridge gaps between application security and software engineering by advocating for secure coding standards, automating processes, and developing reusable security solutions leveraged company-wide. We stay ahead through continuous research into emerging threats and adoption of new techniques and best practices. Our collaborative environment encourages diverse perspectives and continuous learning to shape cutting-edge strategies that protect customer data while delivering reliable, trusted services.ABOUT AmSec:Diverse ExperiencesAmazon Security values diverse experiences. Even if you do not meet all of the preferred 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. Why Amazon Security At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.Work/Life Balance We 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. Inclusive Team Culture In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.Training and 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, training, 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 ...

We are powering an automation and self service driven customer journey for AWS customers leveraging a range of Analytics tools to generate business shaping insights. About AWS: For more than 11 years, Amazon Web Services (“AWS”) has been the world’s most comprehensive and broadly adopted cloud platform. AWS offers over 100 fully featured services to millions of active customers around the world - including the fastest-growing startups, largest enterprises, and leading government agencies - to power their infrastructure. About the Analytics Team: The Analytics team is a small, central group in the AWS Support organization. The team comprises members from a range of skill-sets such as strategy & planning, Machine Learning / predictive analytics and Business Intelligence. The Analytics team is responsible for pushing our Product, Process and Customer understanding and insight beyond the here and now to create value for the long-term. The team is responsible for coming up with hypotheses, uncovering key insights and developing a point of view on actions across the portfolio of our products and services. About the Role: If you love driving critical thinking and insight into challenging, unstructured problems and working with leaders in the organization to bring those insights into action, this role is for you. This is a hands-on role, however, being a part of a small team gives opportunity to take ownership of the customer / business problem across the spectrum from ideation to setting it up for implementation in partnership with stakeholder teams. About the teamDiverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred 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. Why AWS Amazon 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.Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here 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.Mentorship and 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. AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.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 writing complex SQL queries- Experience in Statistical Analysis packages such as R, SAS and Matlab ...

Amazon Advertising operates at the intersection of eCommerce and advertising, offering a rich array of digital advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers reach Amazon customers on Amazon owned and operated sites and on other high quality sites across the web. We start with the customer and work backwards in everything we do, including advertising. If you’re interested in joining a rapidly growing team working to build a unique, world-class advertising product with a relentless focus on the customer, you’ve come to the right place.Business Intelligence (BI) enhances internal teams’ decision-making by providing data analysis and developing measures to extract meaning from Amazon Advertising’s global operations. We are seeking a Business Intelligence Engineer with strong analytical, visualization and communication skills to join our team. This role will be a working closely with Program & Product Managers, Scientists and Engineering leaders. You will design, develop data infrastructure, evangelize, and implement state-of-the-art solutions for never-before-solved problems, helping the team build great products and solutions.Key job responsibilities- Design and develop automated, user-friendly measurement pipelines, reports, and dashboards to support internal partners.- Recommend new metrics, techniques, and strategies to enhance customer experience.- Collaborate with cross-functional teams to gather data requirements.- Enable data-driven decision-making by retrieving and aggregating data from multiple sources, presenting it in a clear and actionable format.- Work with engineering and product teams to identify product gaps and trends.- Manage the request intake process, prioritizing tasks in partnership with stakeholders.- Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards to inform key business decisions.- Participate in strategic and tactical planning discussions.- Collaborate with subject matter experts to translate business requirements into technical specifications.A day in the lifeYou will develop and implement advanced models and tools, perform statistical analysis, and evaluate large datasets to create customized models and dashboards. Furthermore, you will play a crucial role in designing a reliable and scalable infrastructure for ongoing reporting and analytics. Your responsibilities will also include structuring complex problems, designing analytics solutions across multiple disciplines, and providing actionable recommendations that inform strategic planning, product strategy and launches, engineering improvements, marketing campaign optimization, customer service trends, and competitive research.BASIC QUALIFICATIONS- 7+ years of professional or military experience- 5+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience with theory and practice of design of experiments and statistical analysis of results- Experience with AWS technologies- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with theory and practice of information retrieval, data science, machine learning and data mining ...

The AdsEcon Team is looking for an Applied Scientist II to help and be part of a team to put state-of-the-art causal inference research into production.AdsEcon is a cross-functional team of Economists, Applied Scientists, Data Scientist and Engineers, with the charter of developing moonshot science solutions for Amazon Advertising. We favor projects that are ambitious, ambiguous, and risky. We use a combination of econometrics, machine learning, and randomized experiments to build disruptive initiatives for all our Advertising products. We also generate insights to guide Amazon Advertising strategy, providing direct support to the high level leaders.Key job responsibilitiesIf you have a experience with building causal inference and other machine learning solutions at scale this is the job for you. Key responsibilities of Applied Scientist include the following:- Partnering with economists and senior team members to drive science improvements and implement technical solutions at the state-of-the-art of machine learning and econometrics- Design, implement, prototype, deploy, and maintain large-scale Causal/ML models. Models are often deployed in partner's teams code base, requiring good communication skills and collaborative spirit.- Build interpretable statistical models and analyze experiment results to answer questions that will drive high impact decisions across Amazon.BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Want to transform the way people enjoy music, podcasts, radio, and audiobooks? Then come join the team that delivers the global audio experience on Alexa. If you’re passionate about building magical experiences for customers, while solving hard, complex technical problems, then this role is for you. Work with us to deliver industry leading experiences across a growing array of Alexa supported devices and countries, all while being at the forefront of Generative AI and LLM capabilities.The Alexa Audio org is seeking an experienced Business Intelligence Engineer who is a master of both data insights and relationship-building. Using a special combination of technical and people skills, this candidate will be the key BI liaison between Alexa audio feature owners and other partner teams. Primary areas of focus will be 1) audio feature launch support 2) defining metrics and KPIs, and deep-diving ambiguous and large data sets.A successful candidate will be an expert with SQL, ETL (and general data wrangling) and have exemplary communication skills. The candidate will need to be a self-starter, comfortable with ambiguity in a fast-paced and ever-changing environment, and able to think big while paying careful attention to detail.Why us?- Problem solving: you will define the solutions from problem statement.- Centralized analytics and data science team: we teach each other and learn from each other.- Impact: directly influence the Alexa Podcast customer experience with your ideasKey job responsibilities- Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions- Interface with business customers, gathering requirements and delivering complete reporting solution- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation- Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers- Perform creative deep dive analyses to explain finding- Interact with internal stakeholders to share insights from monitoring and deep dive analyses- Drive instrumentation as part of organization-wide programs and enhancementsA day in the lifeWhen we work together, we: - Centralize the sprint and consolidate to one queue but still give stakeholder visibility and continue to ask feedback;- Advocate knowledge sharing and code review;- Avoid single point of failure with a secondary owner as code reviewer, mentor, backup, etc;- Consolidate across org initiatives to the same primary owner;- Train everyone on the must-have knowledges;- Carve out time for high-sev tt, urgent requests, tech debt failure;- Favor problem statement other than data requestsAbout the teamWe are a team of 12 made up of Business Intelligence Engineers (BIEs), Data Engineers (DEs), and Data Scientists (DS’s), who bring with deep experience in both business analytics and data science. We cover the data needs of Music, Radio, Podcast, Books, and the Audio Category. Our key internal partners includes Alexa Audio Product Managers, Engineering, Finance, Alexa analytics and science teams; Alexa International, Alexa Analytics and Science Community.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 interested in building and scaling the Amazon Launchpad program to elevate new and innovative brands selling on the Amazon online store? Amazon Launchpad's mission is to support entrepreneurs by providing resources, expertise, and creative marketing to help showcase and deliver innovative products to our customers. If you live for these kinds of challenges, we've got the job for you!We are seeking a customer obsessed, data oriented Business Analyst to work on the Amazon Launchpad team. As a Business Analyst, you will help develop an analytic platform to drive deep dives, provide insights into the health and state of the Launchpad program. You will build dashboards and reports that support both retrospective and proactive reporting for the program. You will own the design, creation, and management of large datasets. You will interact with internal program and product owners, and technical teams to gather requirements, structure scalable and performant data solutions, and gain a deep understanding of key datasets.Key job responsibilities* Design and execute analytical and reporting projects in collaboration with business teams, data engineering, finance, other business analysts and specialists.* Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format* Define the business problem and solution approach autonomously with limited guidance.* Proactively identify opportunity areas for deep dive investigations and future program development.* Analyze and validate data to ensure high data quality and reliable insights.* Write concise documents communicating results to stakeholders and visualize data to drive decision makingAbout the teamAmazon Launchpad's mission is to support entrepreneurs by providing resources, expertise and global support to help showcase and deliver innovative products from small businesses to millions of Amazon customers.Mentorship & Career GrowthWe have a vision for and commitment to your personal success. Whether your goals are to explore new concepts or take on bigger opportunities, we'll help you get there.BASIC QUALIFICATIONS- 3+ years of business analyst, data analyst or similar role experience- 3+ 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 SQL- Bachelor's degree in finance, data analytics, mathematics, statistics, engineering, or related technical or quantitative field ...

Amazon’s Global Risk Management & Claims team is seeking a highly skilled and detail-oriented Business Analyst with a robust background in economic theory, auto claims management, and data analytics. The ideal candidate will possess an in-depth understanding of insurance claims processes, a keen interest in economic principles, and proficiency in dissecting complex datasets. As a Business Analyst, you will play a pivotal role in extracting valuable insights from claims data, employing economic theories to evaluate risk factors, utilizing data metrics to optimize our claims management processes, and providing strategic recommendations to key stakeholders.Key job responsibilities- Partner with cross functional business teams to consult, develop and implement metrics, automated reporting/process solutions, and process improvements to meet business needs.- Apply economic theories and models to assess claims trends, evaluate risk factors, and predict future claim performance.- Conduct in-depth economic analyses to evaluate the financial impact of claims and recommend cost-effective strategies for claims resolution.- Utilize advanced data analytics techniques to evaluate large and complex claims datasets.- Generating actionable insights through the development of key performance metrics, dashboards and analytics.- Identify opportunities for process improvements and automation within the organization.A day in the lifeIn this role, the Business Analyst will partner with key stakeholders to dive deep into business challenges and loss trends, aiming to unearth crucial insights. The ideal candidate will cultivate partnerships across various business lines to gather business requirements, develop metrics and reporting, establish key performance indicators for third-party vendors, deliver actionable insights to mitigate financial and operational risks. This position demands an adaptable individual with exceptional analytical skills and strong business acumen. The ideal candidate is customer obsessed, both internally and externally, and will work back from the customer to meet business objectives.BASIC QUALIFICATIONS- Bachelor's degree- 5+ years of tax, finance or a related analytical field experience- 3+ 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 making business recommendations and influencing stakeholders- Experience in Casualty Insurance claims management. ...

Amazon's Selling Partner Insights and Analytics (SPIA) organization is seeking an experienced Business Intelligence Engineer (BIE) who will be a key contributor and sparring partner, developing analytics and insights for products that directly impact sellers' experiences on Amazon. If you are a self-starter who thrives in a fast-paced and ever-changing environment, with an uncanny knack and passion for turning qualitative analysis and observations into diagnostics and recommendations, then you are the right candidate for our team.Join us at the Central Analytics Team of Amazon's Selling Partner (SP) Support Org and become part of a global team that is redefining the future of e-commerce. With access to vast amounts of data, cutting-edge technology, and a diverse community of talented individuals, you will have the opportunity to make a meaningful impact on the way sellers engage with our platform and customers worldwide. Together, we will drive innovation, solve complex problems, and shape the future of e-commerce.In this role, you will be responsible for developing and implementing benefit measurement mechanisms, data frameworks, and interactive dashboards and visualizations to drive data-driven decision-making across the organization. You will support the Contact Elimination program in its product launches, measure initiatives implemented for Contact Elimination, and be instrumental in reporting on these initiatives.Key job responsibilities1. Measure initiatives for contact elimination through A/B testing or non-causal analysis methods.2. Create effective visualizations and dashboards that tell a compelling story and provide recommendations for new business initiatives.3. Conduct driver analysis and develop time series models to forecast trends in metrics..4. Provide training and support to business users, ensuring effective adoption and utilization of BI solutions.5. Leverage LLM toIdentify, develop, manage, and execute analyses to uncover opportunities, providing written recommendations.8. Communicate data clearly and concisely, adjusting your style for different audiences to address complex financial issues effectively. Your communication will influence critical business decisions.About the teamSelling Partner Insights and Analytics team mission is to build listening mechanisms to gather frictionless SP feedback, generate insights at scale, and enable teams to prioritize and measure improvement opportunities. Selling Partner Insights and Analytics focuses on surfacing SP sentiment data/insights and connecting our stakeholders to actual SP experiences. The team performs analyses, creates visualizations and develops automated reporting solutions that help drive data driven decision makingBASIC 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 Experimentation and Non Experimental Causal attribution models- 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 ...

Come be a part of a rapidly expanding $35 billion dollar global business. At Amazon Business, a fast-growing startup passionate about building solutions, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech & retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations thrive. At Amazon Business, we strive to be the most recognized and preferred strategic partner for smart business buying. Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes and industries. Unlock your career potential.Amazon Business represents an incredible opportunity to address a vast new market segment and customer base and is an area of high interest for Amazon. We are focused on building solutions that enable our business customers to find, research, and buy products and services from a vast selection, across multiple devices, marketplaces and regions. These business customers include individual professionals, small businesses to large institutions (and everything in between). The needs of these business customers are different from those of the traditional Amazon customer, so we are reinventing everything from how we display our selection, price our products, provide the right customer experience and offer unparalleled customer support.Key job responsibilitiesAs a Business Intelligence Engineer you will help setup and deliver robust, structured reporting, analytics and models for the Buying Experience teams within Amazon Business. You will be a key contributor to shaping our strategic innovation program by equipping the product teams with the insights into the operation performance. You will evaluate and make decisions around the use of new or existing technologies and tools. We work in an entrepreneurial environment and deliver value incrementally and frequently. We are still in the early stages , so you get the opportunity to be part of ideation stage and deciding the strategy for our growth. If you are a candidate with a strong sense of ownership, passion and drive to delight customers, come join us!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- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field ...

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.We are looking for Senior Business Intelligence Engineer to work in a start-up environment who is passionate about technology, who thinks/acts globally, and has the ability to create and implement solutions to business questions. The Senior Business Intelligence Engineer will build the foundational data pipelines and data tables, analyze large data sets, prove and disprove hypothesis, automate solutions and build self-service dashboards and reports. This person consistently employs high judgment and makes data-driven decisions, leading by example and influencing the team to do the same.Key job responsibilities- Apply advanced analytical techniques, such as statistical modeling and data mining, to derive actionable insights from complex, ambiguous data sets. - Perform deep-dives and data analysis across multiple regions and/or globally to identify best practices and areas of opportunity. Provide recommendations based on analysis and insights. - Conduct in-depth analyses of sales performance, churn, usage behavior across multiple regions and/or globally to identify and surface impactful recommendations.- Develop and lead design and execution of global reporting solutions for business-to-consumer team.- Build self-service tools and dashboard that not only gives aggregated metrics but also provide ways to pull customer level performance insights. - Work closely with Product teams, Data Scientists, Software developers, and Data Engineers to integrate upstream data sources and automated reporting outputs to downstream systems.Export Control Requirement:Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.BASIC QUALIFICATIONS- 5+ years of professional or military experience- 5+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience with theory and practice of design of experiments and statistical analysis of results- Experience with AWS technologies- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with theory and practice of information retrieval, data science, machine learning and data mining ...

Do you want to help drive growth and engagement with one of Amazon’s most important businesses? Do you enjoy using data and analytics to deliver actionable insights that support critical business decisions?Amazon seeks an experienced business analyst to be a key member of the Lead Central Program and Operations (LCPO) Team. This is an exciting opportunity to support and influence global lead generation strategy, tech, and operations.As a Business Analyst, you will partner with Tech, Program, Operations, Sales, Marketing, Finance, and analytical professionals to provide data and insights that influence and support critical business decisions. The successful candidate will have shown experience in past roles influencing business owners and supporting decision making in rapidly evolving environments. This role requires a self-starter with strong modeling skills, a keen attention to detail, and an ability to manage multiple projects across several stakeholders effectively. This role also has regular interaction with various businesses and requires strong interpersonal and communication skills.Key job responsibilities* Serve as the key business performance partner working directly with Tech, Product, Sales, Program, and Operations across US teams* Develop, launch, and optimize business performance mechanisms* Deliver data, analysis, insights, and recommendations to help shape product development and rollout strategies* Lead business performance analysis and reporting, including preparation of weekly, monthly, and quarterly business reviews* Partner with Business, Sales , Marketing, and Finance leaders to provide data-driven insights and recommendations that influence business decisionsA day in the life* Working closely with product, tech, and operations leaders on analytical projects* Writing SQL queries and creating business intelligence reports.* Owning deep dives to answer business critical questions* Defining requirements and using data and metrics to draw business insights* Excel* SQL/PL SQL* QuickSight* ETLAbout the teamLead Central is a piece of technology used to generate leads at scale across Amazon. The LCPO team is the Program and Operations element of Lead Central. LCPO productinoalizes Lead Central, and in doing so generates learnings and feature recommendations that shape the future product roadmap of Lead Central. LCPO sits at the intersection Product, Tech, Sales, Operations, Marketing, and Program and therefore gets broad exposure to these business segments which keeps things interesting and provides ample growth opportunities for all on the team.BASIC QUALIFICATIONS- 3+ years of tax, finance or a related analytical field experience- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- 3+ years of business or financial analysis experience- Bachelor's degree or equivalent- 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 ...

The Intelligent Talent Acquisition (ITA) organization develops data solutions for all aspects of hiring across Amazon. Joining ITA is your opportunity to make an impact across multiple layers of the company and the workforce. Amazon’s mission is to be the most customer centric company in the world and ITA supports our Talent Acquisition (TA) organization of the mission by hiring hundreds of thousands of hourly associates and corporate employees across multiple types of roles and businesses.Key job responsibilities1. Able to coordinate and understand the interaction between business metrics, UX interaction and adoption data, and the resilience and monitoring of our technical platform2. Skilled at generating insights that support product managers, designers and software leaders in their quest to deliver products customers love3. Create stories with data in QuickSight or related tools that recognize patterns and trends4. Work with data from disparate systems and storage mechanisms including Adobe Analytics, KTAL, RUM, CloudWatch and Pendo5. Advise on areas of opportunity in forums like monthly business reviews, quarterly planning and monthly team meetings6. Interpret and advise on A/B testing data, using classical or Bayesian statistics7. Familiarity with LLM-supported analytics tools and methodsA day in the lifeAs a Business Intelligence Engineer, you will generate insights that will guide operational excellence, business strategy, and success for our products focusing on Candidates across Recruiting. Data analysis is at the core Amazon’s culture, and your work will have a direct impact on decision making and strategy for our organization. You will be gathering customer insights, mining data, making recommendations, and helping senior leaders make key business decisions. You will have the opportunity to work with large and diverse data sets to gather insights using data from across AWS Infrastructure.About the teamOur Data team enables Technical Product Managers, Software Development Managers and Engineers to measure success of their Hiring tools, improve it and innovate. Come help us hire the best, build great tools for our hiring managers and recruiters, and help the millions of candidates applying and visiting our career portal (people like you!) find their next amazing opportunity. BASIC QUALIFICATIONS- 4+ 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 ...

Prime Video offers customers a vast collection of movies, series, and sports—all available to watch on hundreds of compatible devices. U.S. Prime members can also subscribe to 100+ channels including Max, discovery+, Paramount+ with SHOWTIME, BET+, MGM+, ViX+, PBS KIDS, NBA League Pass, MLB.TV, and STARZ with no extra apps to download, and no cable required. Prime Video is just one of the savings, convenience, and entertainment benefits included in a Prime membership. More than 200 million Prime members in 25 countries around the world enjoy access to Amazon’s enormous selection, exceptional value, and fast delivery. PV is seeking an experienced and highly analytical Sr. Business Intelligence Engineer (BIE) who can build end-to-end data pipelines, automate reporting and equip our business stakeholders with data driven actionable insights. A successful candidate will be an expert in SQL, ETL, data manipulation(Py Spark) and be able to partner effectively across a diverse set of stakeholders including product managers, BIEs, data engineers and other leaders in the organization. The Sr. BIE will build the foundational data pipelines and data tables, analyze large data sets, prove and disprove hypothesis, automate solutions and build self-service dashboards and reports. This person consistently employs high judgment and makes data-driven decisions, leading by example and influencing the team to do the same.Key job responsibilities- Interact directly with stakeholders, gather requirements and own automated end-to-end reporting solutions.- 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.- Proficiency with SQL queries and Pyspark to retrieve and analyze data. Learn and understand a broad range of Amazon’s data resources and know how, when, and which to use.- Perform end-to-end deep dive analyses to discover actionable insights for our business stakeholders.- Simplify and automate reporting, audits, and other data-driven activities; build solutions to have maximum scale and self-service ability by stakeholders- Apply engineering excellence to reporting and analysis pipelines, automate and simplify self-service support for customers.- Interact with other technology teams to extract, transform, and load data from a wide variety of data sources.About the teamWorldwide Marketplace Science (WMS) is the science and economics partner to TVOD and Channels businesses worldwide. We drive Prime Video’s entertainment hub strategy by developing software systems and science frameworks to drive acquisition, engagement, retention, and monetization. We own science-driven, production systems for price and promotion optimization and serve our internal TVOD and Channels business leaders through bespoke scientific frameworks for measurement and optimization that guide strategic decision-making.BASIC QUALIFICATIONS- 5+ years of professional or military experience- 5+ years of SQL experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with theory and practice of design of experiments and statistical analysis of results- Experience with AWS technologies- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with theory and practice of information retrieval, data science, machine learning and data mining- Experience building measures and metrics, and developing reporting solutions- Experience programming to extract, transform and clean large (multi-TB) data sets ...

At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptional people. Amazon is seeking a Business Intelligence Engineer to join the Global Procurement Organization (GPO) Strategy, Innovation & Engagement (SI&E), Business Intelligence (BI) team.The Global Procurement Organization (GPO) is the single channel for Amazon Stores globally that creates, delivers and maintains core procurement capabilities while executing best-in-class S2P policies, processes and digital solutions. The pillar drives efficiency, control & compliance, and delivers an user and supplier-centric procurement experience consistently across teams, businesses and regions. Having actionable analytics is part of our culture and we insist on timely, accurate, scalable and actionable business intelligence. A Business Intelligence Engineer should be able to cope with a fast pace environment, work on multiple deliverables and in parallel, be comfortable with prioritizing efficiently and communicating progress and blockers in an effective manner.This role will support our Global Procurement Central Services (GPCS) pillar. GPCS has a wide range of responsibilities in support of consumables management and overall end-to-end purchasing process across Amazon Stores Operations.This is a highly visible role, supporting critical technology and working on highly complex projects at both strategic and tactical levels. Overall, the BIE will own tying it all together for leadership via Daily/Weekly/Monthly/Quarterly Business Review reporting.Key job responsibilities• Manage a portfolio of BI solutions related to GPCS' performance management. This includes working with leadership to maintain a pipeline of high-impact projects. BIE will communicate effectively progress and blockers with the project team and sponsors.• Support daily ordering of $5B+/year in consumable items (packaging and others) per year to support 1k+ Middle Mile sites and Fulfillment Centers globally. This includes demand planning, ordering, inventory tracking, requisitioning, purchase order and invoice management.• Support our Shared Services and Compliance teams in charge of managing the vendor onboarding and the ordering (Purchase Requisition to Purchase Order) cycle for ~1M yearly transactions across $40B in spending while ensuring adherence to all procurement policies and standard work.• Identify high impact business problems and present written recommendations on solutions that will drive execution excellence.• Develop ETL jobs and analytical layers that require in depth knowledge in scripting and OLAP concepts.• Develop optimized scripts and visualizations that are fast and easy to comprehend.• Adopt existing best practices or contribute to improving them; solution design, development, validation and documentation practices.A day in the lifeAt Amazon, we tackle some of the biggest, and most complex problems available. In light of this scope, a Business Intelligence Engineer manages requirements from a large number of diverse customers, across functional groups, and actives those groups to action through thought leadership and application of innovative supply chain strategies. A successful BIE raises the bar on Amazon's writing, and data-driven, culture by identifying key requirements and producing data, in a timely fashion, needed to advance high-volume decision making. Develops strong networks and partnerships across organizations, and maintains them by keeping customers and stakeholders up to date.About the teamGPO BI enables metric-driven capabilities for the Procurement leaders through secure, performant, scalable & sustainable reporting & analysis products. We make the data speak. Providing Amazon-standard customer experience is in our core. We build trust with leaders and provide analysis they need and we do that on a timely and top-quality manner. BASIC QUALIFICATIONS- 10+ years of professional or military experience- 5+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience with theory and practice of design of experiments and statistical analysis of results- Experience with AWS technologies- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with theory and practice of information retrieval, data science, machine learning and data mining ...

The Supply Chain Optimization Technologies (SCOT) organization owns Amazon’s global inventory management systems: we decide what, when, where, and how much we should buy to meet Amazon’s business goals and to make our customers happy. We do this for millions of items, for hundreds of product lines worth billions of dollars of inventory world-wide. Our systems are built entirely in-house, and are automated large-scale business operations, inventory and supply chain planning and optimization systems. We foster new game-changing ideas, creating ever more intelligent and self-learning systems to maximize the efficiency of Amazon's inventory investment and placement decisions. The Automated Inventory Management team within SCOT seeks an experienced and motivated Business Intelligence Engineer to develop analytical models and tools to automate the auditing of the SCOT systems. Such tools may include algorithms, metric bridges, dashboards, processes and workflow systems. The successful candidate will have strong quantitative data mining and modeling skills and be comfortable working on new and sometimes ambiguous problems from concept through to execution. They will have strong communication and leadership skills, will be able to collaborate with other teams (e.g. software development, business owners, product managers) and to present findings to senior audiences to drive business improvements. As well we expect this candidate to raise the bar on any of the following categories: Data Warehousing, Data Architecture, Performant Self Service Toolsets and Data analytics. Candidate might be willing to work with the others BIEs in order to solve organizational problems at scale and setting the grounds of a healthy data products offer while delivering what is required by business. Key job responsibilities- Performing complex analysis to understand the behavior of automated inventory management systems, identify the root cause of system / process issues and provide insight on potential solutions. - Building audits (analytical products) to identify trend breaks or defects at scale for millions of products and multiple Marketplaces globally - Assessing the end-to-end suite of audits and identifying opportunities for enhancements and simplification, working with other audit owners - Creating new solutions to automate the business process of identifying and resolving defects (e.g. through metric dashboards and automated alarms, self service dashboard, Single source of truth tables) - Supporting the improvement of the automated audit workflow system: integrating new audits and providing input on the future developments/roadmap - Developing dashboards and insight products - Fostering culture of continuous engineering improvement through blueprints, mentoring, feedback, and metricsBASIC QUALIFICATIONS- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience in the data/BI space ...