Business Intelligence

The Rapid & Rural Logistics (R2L) team is seeking a Business Intelligence (BI) Engineer to join the Automation Team. The R2L team that includes rush service and super rural delivery covers a portfolio of high-growth businesses with unique fulfillment and operational capabilities such as Sub Same Day (SSD), Rural Super Rural (RSR), and Amazon Today. R2L exists solely to meet the goal of quick, accurate delivery and this is constantly being challenged and changed, adapting to our customer demands and improved. To meet this goal, R2L must remain flexible at all times, adapting with all of the changes and growth that comes our way. As a Business Intelligence (BI) Engineer, your focus will be on process automation, operational insight, and other analytical support to stakeholders for the Sub-Same Day (SSD),Rural Super Rural (RSR) and Amazon Today(AT) Delivery business. The Automation team partner closely with Delivery and the operations teams to automate Program Manager manual process.The ideal candidate will draw upon advanced analytical, problem solving skills, and a passion for building solution towards automated operational management. The successful leader of this team will collaborate effectively with internal end-users, cross-functional stakeholders and technical teams to drive for automation of our operational processes for future innovation. They must be a self-starter, comfortable with ambiguity, and able to think big and be creative to support a rapidly growing business. Your will create solution to automate Program Manager day to day task or process using combination of dashboard, macros, scripts, and SQL. We look for candidates who are excellent communicators, inspiring leaders, self-motivated, flexible, hardworking, and who like to have fun. Key job responsibilitiesThe successful candidate is a seasoned data professional with a strong bias for action, Proficiency with data visualization tools like QuickSight and Tableau, data modeling, ETL (Extract, Transform, Load), SQL, and scripting skills.Own the design, and development of projects to drive key business decisions. A typical day in this role provides an opportunity to build innovative data solutions with large-scale systems, identify high-priority work and projects that maximize results for key stakeholders, and solve complex problems that impact company-wide strategic decisions. Further, you will help automate processes by developing deep-dive tools, and dashboards to communicate these insights to the business teams. Successful members of this team collaborate effectively with business customers and cross-functional data management teams to solve problems and implement new solutions.In this role, you will: • Understand business problem requirements • Identify opportunities for automation • Implement solutions to enhance operations facing systems, processes, and toolsA day in the life• Take detailed requirements from stakeholders to deeply understand their current manual processes and pain points• Think creatively to identify opportunities to solve problems using technology-driven solutions• Design and implement the optimal automation solutions to address stakeholder needs• Respond to ad-hoc requests and provide support as needed• Thoroughly document all processes, solutions, and learnings to ensure knowledge capture and sharing• DocumentationAbout the teamThe Rapid and Rural Logistics team manages high-growth specialty fulfillment operations, focused on fast, accurate delivery of unique products. The team needs agile, self-directed individuals with a strong bias for action. The ideal candidate will balance technical expertise in ETL, visualization, and scripting with strong stakeholder skills. You'll work closely with teams to deeply understand their needs, then design and deliver automated solutions driving key decisions and operational improvements. Speed, flexibility, and autonomous decisions are crucial. Bonus qualifications include Python proficiency for data tasks, and AWS experience for implementing robust, scalable solutions - complementing the core role requirements.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 using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

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 ...

Are you passionate about improving the quality of Selling Partner experience? Do you strive to create customer-centric solutions that drive measurable results? Do you like to design and implement scalable end-to-end solutions built on sound process excellence principles? Does working with ambiguity, data and using analytics to guide program strategy and improvement plans sound exciting? If so, the Selling Partner Support team is looking for a Senior Business Analyst – Policy Experience (PX), to help steer the Policy Experience program through generation of insights, analytics and supporting Program Managers with data to drive improvements and program roadmap. This role will own all analytical aspects of Policy Experience, WW.Third-party sellers represent significant value to Amazon’s online retail customers and Selling Partner Support (SPS) drives success for these sellers through a combination of people, processes and services. We are a primary interface between Selling Partners and Amazon by direct interaction between our associates and sellers, by building communication tools that sellers use to receive help, and by driving cross-functional initiatives to improve the seller experience. Additionally, we possess a wealth of data regarding the reason sellers contact us for help and we use this information to identify and drive improvements to our seller solutions across the Company.Working backwards from the policies that guides Selling partner experience, as a Sr. Business Analyst for Selling Partner Support, you will be responsible for generating data backed analytical insights that guide the selling partner experience program and will measure the results by monitoring quality and efficiency metrics and contacts. In this high profile role, you will collaborate with numerous business teams, product, and program teams both inside and outside Selling Partner Support to identify, define and specify solutions that create the conditions for sellers’ success and satisfaction. You will build collaborative relationships with these partners, working closely to create and execute a Policy experience improvement roadmap. You will prepare and execute regular program updates to senior management.The successful candidate will be input focused, data driven and will have isolated and correlated inputs to achieve impactful outputs, built closed loop processes and measures to ensure adoption of products and processes so that improvements are realized. S/he will also have proven ability to assess situations and guide teams toward both short-term and longer term systemic changes. The ideal candidate will possess an analytic, statistical and optimization background to enable strategic workforce planning and strategic service initiatives planning. In this role you will experience a wide range of problem solving situations, strategic to real-time, requiring extensive use of data collection and analysis.At Amazon, we believe innovation should occur throughout the organization. This disruptive leader will stimulate and pioneer innovation in Seller service excellence and be an active voice and member of the Selling Partner Support leadership team.Key job responsibilitiesThe Senior Business Analyst in Policy Experience under GPM will be focusing on analyzing emerging and new quality, experience and operational metrics for Selling Partners. The successful candidate will have strong business acumen and possess excellent statistical and analytical abilities. They will focus on creating actionable insights and research to provide recommendations to the leadership team and build scalable solutions to meet business needs. They will have passion for data and analytics, be an independent innovator comfortable with ambiguity. They'll have strong attention to detail, an ability to work in a fast-paced and entrepreneurial environment.The ideal candidate for this role will should be:• Self-starter who understands the current and future business needs by working closely with stakeholders to recognize their needs and requirements.• Individual who will support the long-term strategy to implement self-service solutions and focus on insights research while understanding and have experience working with Customer service/Operation teams. • Hands-on individual who has deep domain/process expertise across operational metrics, someone who can understand individual metrics and how they are all connected. • Proactively identify problems with significant business impact; facilitate analysis to identify problems and opportunities to deliver insights and recommendations to help shape strategy across team and measurement initiatives.• Working with the data engineering team to build the business requirements to evolve the insights and analysis about the SP experience. • Set and articulate expectations around leadership behavior for peers; model behavior that exemplifies Amazon Leadership Principles.BASIC QUALIFICATIONS- 5+ years of tax, finance or a related analytical field experience- 3+ years of writing SQL queries and creating business intelligence reports using Tableau, Power BI experience- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders- Experience with Excel ...

Amazon’s global fulfillment network enables any merchant to ship items that are ordered on Amazon to any place on earth. There is a complex network of ways in which items move between vendor locations, Amazon warehouses, and customer locations as well as several intermediate locations through which packages travel before reaching the customer. With a scale of millions of packages, each with different attributes and delivery requirements, what results is a highly dense graph of nodes.We have built a highly respected BI and Data Engineering team which is focused on solving complex problems in worldwide transportation using workflows, optimization algorithms, and machine learning systems. These are large-scale distributed systems handling millions of packages being shipped through the Amazon logistics network.As a Business Intelligence Engineer, you will develop datasets, dashboards, reports, and visualizations using BI tools, and provide data-driven recommendations to support strategic planning within Amazon Shipping. Additionally, you will deliver across planned projects that will improve overall cost and profitability for the business.Key job responsibilitiesData Management and Integration: Collect, process, and manage large datasets from various sources, ensuring data accuracy, consistency, and accessibility.Data Analysis: Analyze complex data sets to identify trends, patterns, and insights that can inform business decisions.Reporting and Visualization: Develop and maintain dashboards, reports, and visualizations to present data insights in an understandable and actionable format.Stakeholder Collaboration: Work closely with stakeholders to understand their data needs, provide data-driven recommendations, and support strategic planning.Tool and Technology Utilization: Utilize and stay updated with the latest BI tools and technologies to enhance data analysis and reporting capabilities.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 ...

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.AIS (AWS Infrastructure Services) is looking for a Sr. Business Intelligence Engineer to be responsible for working across many high visible product areas. As a member of the AIS Supply Chain team, you will be at the forefront of this organizational capability to increase our understanding of supply chain risks within our hardware products. The Supply Chain Resiliency team is responsible for identifying risks to avoid disruptions of product delivery by building a framework that anticipates, identifies, and mitigates high priority risks with action plans. As a resiliency BIE, you are a builder at heart on mechanisms, systems and automation. You have a passion for using data in order to drive business actions. Your goal is to improve current data and automation solutions or innovate new and simpler ones to achieve robust risk insights. You have proven experience with information retrieval, data mining, building, cleaning, and training foundational models, data science, Gen AI, ML, and LLM. The successful candidate will be able to retrieve, integrate, visualize and present critical data in a format that is immediately useful to improve the business decision process. You thrive at analyzing and modeling very large data sets, diving below the surface to identify the root causes rather than high-level trends. This role requires an individual with excellent analytical abilities, critical thinking, and to balance business acumen working with technical teams and systems, non-tech teams, and senior leadership. You are a self-starter comfortable with ambiguity, with strong attention to detail, and knows how to develop a strategy, execute, and measure and deliver outcomes.Key job responsibilities• Apply deep analytics and business intelligence skills to extract meaningful insights and learn from large and complex data sets using AI/ML.• Partner with stakeholders to define priority of BI projects, reporting, FMs, RAG, RLHF.• Lead high impact AI/ML projects. Perform deep-dives to derive actionable insights; Creating models to predict risk actions and improve outcomes and optimize business processes.• Build self-service reporting tools and dashboards• Provide SQL support and manage queries and databases (SQL, Tableau, etc.)• Build various data visualizations to tell the story of business trends, patterns, and outliers that result to meaningful actions.• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.• Research industry trends and extract to align resiliency strategies and mechanisms.About the teamAmazon 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. 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. 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 in the cloud. 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. We’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- Bachelors degree in Computer Science or Engineering, SDE or related technical, or equivalent of 7+ years of related experience.- 7+ years of experience programming to extract, transform and clean large data sets (multi-TB)- 7+ years of experience in scripting for automation (e.g. Python) and advanced SQL skills.- 7+ years of experience with data visualization using Tableau, QuickSight, or similar tools- 7+ years of experience working directly with business stakeholders to translate between data and business needs- 7+ years of experience in HW product management and/or in supply chain and/or end to end product development lifecycle. ...

Amazon is seeking a self-started candidate who is passionate about leveraging data to deliver actionable insight that impacts business decisions to improve the customer delivery experience WW.DEX Delivery Choices offers customers alternatives to Core and faster-than-Core delivery options, addressing needs for control, choice, sustainability, and the convenience of receiving items together. Our programs also drive network consolidation, flexibility, cost savings, and carbon reduction for Amazon.A successful candidate must be passionate about identifying and building solutions that will help drive a more efficient network and better customer experience. This role offers the opportunity to influence and drive a growing business area. This role includes analyzing large data sets, integrating metrics into product launches, validating hypotheses, automating existing solutions, and developing self-service dashboards and reports. This role actively contributes to driving innovation through data and collaborates with a wide array of stakeholders, including Product Managers, Data Scientists, Economists, SDEs, Data Engineers, and other partner teams.Key job responsibilities• Owning the design, development, and maintenance of scalable solutions for ongoing metrics, reports, analyses, dashboards, etc. to support analytical and business needs.• Translate basic business problem statements into analysis requirements.• Use analytical and statistical rigor to answer business questions and drive business decisions.• Find and create ways to measure the customer experience to drive business outcomes.• Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.• Write queries and output efficiently, and have in-depth knowledge of the available in area of expertise. Pull the needed with standard query syntax; periodically identify more advanced methods of query optimization. Convert to make it analysis-ready.• Recognize and adopt best practices in reporting and analysis: integrity, design, analysis, validation, and documentation.• Troubleshoot operational -quality issues.• Review and audit existing jobs and queries.• Recommending improvements to back-end sources for increased accuracy and simplicity.BASIC QUALIFICATIONS- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)- Experience with scripting language (e.g., Python, Java, or R) ...

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

Do you want to play a crucial role in the future of Amazon's retail business by building data analysis systems that enable data driven decision-making at the largest scale possible?The Promise team sets the expectation of when customers’ items will arrive. The delivery promises we make are key drivers of customer behavior and influence the short and long-term profitability of Amazon’s global retail business. We serve as the interface between customer expectations and Amazon's industry-leading fulfillment capabilities. We are part of the Supply Chain Optimization Technology (SCOT) Group that develops and manages systems that optimize inventory acquisition and placement, so products are available for fast delivery. (For more information on SCOT, see this short video: http://bit.ly/amazon-scot.) Successful members of the Promise team are customer obsessed, flexible, and collaborative team players who enjoy working across functions and organizations to solve problems and get results. They ask hard questions and build solutions that provide the critical business insights needed to influence decision-making across retail and operations teams. They find timely answers buried in large data sets and complex systems, identify root causes, and get their hands dirty building data systems and sharing insight.The Promise team is seeking a Business Intelligence Engineer with broad technical and analytical skills to develop the data analysis systems we use to make decisions to optimize delivery promises for Amazon's customers worldwide. As an Amazon Business Intelligence Engineer, you will be working in one of the world's largest and most complex data warehouse environments. You will work on analytics, visualization solutions, and other Business Intelligence applications used by researchers, engineers, and management across multiple departments. You should be reliable at designing, implementing, and operating stable, scalable, low-cost solutions that analyze data from production systems into end-user facing applications. You should have deep expertise in the design, creation, management, and business use of extremely large datasets. You will need excellent business and communication skills to work with researchers and business owners in a fast-paced environment to develop and define key business questions and requirements. Above all, you should be passionate about working with huge datasets and analytics tools to provide insight into how the business is running and enable business decisions to be data driven. Key job responsibilities· Defining, developing and maintaining critical business and operational reports reviewed on a weekly, monthly, quarterly, and annual basis· Transform complicated business problems into mathematics modeling and provide data-driven solutions· Analysis of historical data to identify trends and support decision-making, including written and verbal presentation of results and recommendations· Collaborating with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of machine learning and econometric models· Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation.· Mining and manipulating data from database tables, simulation results and log files· Identifying data needs and driving data quality improvement projects· Understanding the broad range of Amazon’s data resources, which to use, how, and when.A day in the life· Routinely performs and presents deep dives and anecdotes to gain more granular understanding of why a promise occurred and whether there are gaps in fulfillment systems which, if resolved, could speed up delivery. Build logic to attribute these root causes at large scale and put together underlying data pipeline to make this information available for metricizing and accessible for other teams within Amazon.· Regularly reviews the promise metrics for putting together callouts for weekly business reviews by performing ad hoc analysis and reaching out to appropriate teams to get further understanding of the issue. Another part of this exercise is to track and callout negative trends which need more attention from the leadership, identify the root cause(s), and recommend next steps to resolve the issue.· Works cross-functionally with various teams in Fulfillment Optimization organization to understand how they interact and affect the order fulfillment process and identify system gaps which could impact promise speed. They continue to resolve the gap by working closely with software teams to design and implement solutions to address these gaps and develop metrics to track it going forward.About the teamPromise Insights team in Austin develops and manages various critical services for customer delivery promise to improve our ability to analyze, understand, forecast, and modify promise behavior with a predictable result. The team owns the Promise data pipeline which captures relevant data from Promise services; Promise Analytics Platform and Web tools like Promise Viewer provide meaningful insights to stakeholders (PMTs, RSs, BIEs, Economists, and SDEs) for data-driven decision-making. We also use that data to run simulations to help answer business-critical questions; e.g., what is the impact on delivery promises and Amazon business if we had infinite inventory in every warehouse? Simulation plays a key role in enabling teams to achieve their business goals by identifying and sizing opportunities for increased profitability through cost savings and customer experience improvements. Simulations also provide insight into promise speed variants and the factors that impact them.The team is currently focused on evolving our capabilities into platforms that can be used across the company as well as expanding our Tools to not just present existing data, but to analyze that data against other systems to preemptively answer questions around what caused deviations in expected behavior.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 using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business ...

Have you ever wondered how Amazon predicts when your order will arrive and how we ensure that it actually arrives on at the promised date/time? Have you wondered where all those Amazon semi-trucks on the road are headed? Are you passionate about increasing efficiency and reducing carbon footprint? Does the idea of having worldwide impact on Amazon's logistics network including our planes, trucks, and vans sound exciting to you? If so, then we want to talk with you! At Amazon's Fulfillment Optimization, we are tasked with optimizing the fulfillment on customer orders so that we fulfill all orders worldwide in the most intelligent manner while ensuring Amazon customers get their orders on time.The Transportation Volume Planning team owns and operates ML and simulation systems that continually optimize the distribution of tens of millions of products across Amazon’s warehouses in the most cost-effective manner, utilizing large scale optimization techniques and distributed computing in trying to reduce overall transportation costs while improving the customer experience. We are focused on saving hundreds of millions of dollars using big data technologies, cutting edge science, machine learning, and scalable distributed software on the cloud that automates and optimizes inventory and shipments to customers under the uncertainty of demand, pricing and supply.We’re looking for a passionate and results-oriented Principal Analytics Manager who enjoys the challenge of diving into complex problems and solving the unsolvable to drive the key decisions. The person will lead the team of BIEs and DEs to develop large scale, fault tolerant and high availability data analysis systems. Watch http://bit.ly/amazon-scot to get the big picture.Key job responsibilitiesIn this role you will… • Collaborate with and influence a wide set of stakeholders, providing thought leadership, product expertise, and business insight. • Work across Transportation teams, PMs, Engineers, Scientists, Finance, and SCOT teams to establish the network planning Analytics Roadmap. • 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 enhance explainability of various machine learning and optimization models.• 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. This role will likely be a good fit for you if you currently… • Are energized by nuanced problem statements, navigating complexity with thoughtful analyses, and delivering crisp findings and recommendations to leadership teams. • Looking around corners to proactively identify and build automated, scalable analytical solutions • Use analyses to propose innovative and profitable initiatives to senior management/executives. • Analyze and synthesize large streams across multiple inputs. • Find and create ways to measure the customer experience to drive outcomes. • Curious to identify patterns in and how they relate to the outcomes • Inspire high performance from your team, with your vision, energy, high standards and results.* Manage, mentor and grow a team of BIEs and DEsAbout the teamAbout the teamThe Transportation Volume Planning team is part of the Fulfillment Optimization org and owns optimization and simulation systems to guide Amazon's outbound capacity planning. The team is currently spread across Seattle, Austin, TX, and New York City. The team is multi-disciplined comprising of research science, business intelligence, and software development. Come join us as we fundamentally redesign our approach to Amazon first-party fulfillment.Watch this video to learn more about our organization, SCOT: http://bit.ly/amazon-scot BASIC QUALIFICATIONS- 7+ years of business intelligence and analytics experience- 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience- Experience with SQL- Experience with ETL- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software ...

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.Are you passionate about leveraging data to deliver actionable insights that impact the daily business decisions of AWS? Do you want to have an impact on making strategic deals come to life? Are you excited to solve business challenges through data analytics and business intelligence (BI) solutions? If so, we are looking for a Sr. Business Intelligence Analyst to join the Deal Tooling and Insights team to help solve business challenges through data analytics. Deal Tooling and Insights team provides tools, process monitoring, and bespoke analysis to our internal customers and help them meet their desired business outcomes while ensuring alignment with AWS business objectives.Successful candidates must have the ability to collaborate effectively across multiple technical and non-technical business units to deliver successfully against highest standards. The ideal candidate will have strong technical skills with business acumen, and detail-oriented with excellent analytical problem-solving skills. A keen sense of end-to-end ownership, drive, and scrappiness is a must.Key job responsibilitiesIn this role:• You will harness your business and technical skills to understand business requirements, conduct data analysis and provide actionable data-driven insights and decision support to senior leadership. • You will establish automated processes for large scale data analyses and create new metrics to measure the health of the business, support business strategy and enable the broader team to achieve its goals. • You will drive the development of new data enrichment tools and self-service reporting mechanisms to help scale and optimize the reporting processes across the organization. • You will work with Data Engineers, Product Managers and other stakeholders to find ways to measure complex problems and help quantify business impact of various initiatives. • You will communicate complex analytical results in a clear and easy-to-understand way and will drive towards simple, scalable solutions to difficult problems while considering edge cases and different tradeoffs.About the teamAmazon 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 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.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- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- 3+ years of experience programming to extract, transform and clean large (multi-TB) data sets- 3+ years of experience with data visualization tools such as Tableau, Quicksight, Power BI or similar tools- 3+ years of experience working directly with business stakeholders to translate between data and the business, while presenting and communicating results to senior leadership ...

FBA organization is looking for a customer focused, analytically and technically skilled business intelligence engineer to support the Inventory Optimization organization's analytic needs.This position will be part of the business analytics team responsible for building out analysis, visualization tools and processes for the FBA FIO businesses. The successful candidate will be able to retrieve, integrate, visualize and present critical data in a format that is immediately useful to improve the business decision process. This role requires an individual with excellent analytical abilities as well as outstanding business acumen and comfort with technical teams and systems. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and enjoying working with large scale of data.Key job responsibilitiesa. Collaborate with research sciences, product and technology teams in driving step function changes towards influencing seller experience improvements. b. Collaborate with senior leadership to implement advanced analytics algorithms and model evaluation framework across Capacity and Inventory Management domainsb. Own analytics for key domains across inventory optimization services and deliver self-service analytics at scalec. Own data governance and stewardship for business critical metrics that influence technology investment decisionsd. Analyze and visualize transaction data to determine seller behaviors, and output solid analysis with recommendations.e. Create scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation.f. Lead projects from start to finish including project management, data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.g. Develop queries, statistical analysis, and visualizations for ad-hoc requests and projects, as well as ongoing reportingBASIC 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 ...

AI is going to transform the Business Intelligence function at Amazon, and the Companion Products and Services Organization's Business Insights team (ComPAS BI) in Devices is looking for a Senior Business Intelligence Engineer to lead our team through the transformation. ComPAS BI supports the Amazon Device Accessories and Companion Products Business (Amazon Smart Plug, Fire TV Soundbar, Star Wars Accessories, and more) and the Pre-Owned Devices and Device Trade-In program. These businesses are some of the fastest-growing businesses in Amazon Devices, in no small part due to ComPAS leadership's continued investment in technology. The ComPAS BI team is looking for a visionary Business Intelligence Engineer who will help set the course for the future of data and analytics in ComPAS. ComPAS BI is a newer team with a near-infinite runway of interesting problems to solve, mechanisms to refine, and stakeholders to work with. Our stakeholders span across functions (Sales and Marketing, Product Management, Finance, Operations, Planning, and Software Engineering, to name a few) and touch every product line in the Devices business (including Echo, Fire TV, Kindle, Fire Tablet, Ring, Blink, Eero, Health and Wellness, and Project Kuiper). This role has wide scope from the start and huge opportunity to grow both technical and leadership skills. Key job responsibilities- Own the end-to-end project management and execution of our some of our most important reporting and analytics projects, many of which have direct impact on our end customers and drive real growth in the ComPAS business- Own, experiment with, and iterate on key mechanisms (roadmap planning, project management, intake and workflow, etc.) that enable us to deliver great results for our stakeholders through thoughtful organization and communication- Be the example for ComPAS BI team members of what delivering at the Sr. BIE level looks like, and provide mentorship and coaching to grow your team members to deliver results at the same level- Create a vision for what our BIE function should look like when operating as a best-in-class organization by learning and applying the latest techniques and technologies, defining and refining BIE best practices, and sharing your knowledge with the teamA day in the lifeOur team members aim to spend their time in this way: - 50% Roadmap project work, with each team member working on one large project at a time.- 10% On call, with our on-call team member handling any urgent requests or data issues that our stakeholders bring to us.- 10% Ad-hoc requests, with ad-hoc being any non-urgent request that takes less than two days to complete.- 10% Keep-the-lights-on (KTLO) tasks including supporting regular business reviews and recurring reporting maintenance. - 10% Meetings, events, and mechanisms - 10% Exploration, learning, and new skills development- For our Sr. BIE, this allocation will be slightly different. This new team member will spend less time on Ad-hoc and KTLO and more time on leadership work (learning, mentoring, vision setting, and influencing). About the teamThe ComPAS BI team was formed in September 2023 by bringing together the BIEs from the Pre-Owned Devices and Accessories businesses under a single-threaded leader, then adding two data scientists. When the team formed, we came together for a three-day intensive where we defined our mission and vision and examined all our existing processes and workflows for what worked well and what didn't. Together as a team, we created our plan for becoming one ComPAS-wide BI organization with one set of mechanisms and processes. This is what our team is laser-focused on implementing and refining today. Teamwork and respect are the foundation of our organization's culture, and we care deeply about everyone bringing their unique perspective to influence our team's direction. Creating a work environment where our team members are included, inspired, challenged, and excited about their career trajectory is our leadership's top priority. BASIC QUALIFICATIONS- 8+ years of professional or military experience- 5+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience 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 ...

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

Business Intelligence Engineer Come build the future as a Business Intelligence 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 Business Intelligence 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 Business Intelligence 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 be-tween 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• You will utilize your deep expertise in business analysis, metrics, reporting, and analytic tools/languages like SQL, Excel, and others, to translate data into meaningful insights through collaboration with scientists, software engineers, data engineers and business analysts. • You will have end-to-end ownership of operational, financial, and technical aspects of the insights you are building for the business, and will play an integral role in strategic decision-making.• Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership• Produce written recommendations and insights that will help shape effective metric development and reporting for key stakeholders• Simplify and automate reporting, audits and other data-driven activities• Partner with Engineering teams to enhance data infrastructure, data availability, and broad access to customer insights• To develop and drive best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation• Learn new technology and techniques to meaningfully support product and process innovationBASIC QUALIFICATIONS- At least 4+ years of experience using SQL to query data from databases/data warehouses/cloud data sources/etc. (e.g., Redshift, MySQL, PostgreSQL, MS SQL Server, BigQuery, etc.).- Experience with data visualization using Tableau, Quicksight, or similar tools.- Bachelor’s degree in Statistics, Economics, Math, Finance, Engineering, Computer Science, Information Systems, or a related quantitative field.- Ability to operate successfully and independently in a fast-paced environment.- Comfort with ambiguity and eagerness to learn new skills. ...

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

Business Intelligence Engineer Come build the future as a Business Intelligence 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 Business Intelligence 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 Business Intelligence 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.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 People Analytics, Insights, and Research (PAIR) team within PXT supports two of Amazon’s most exciting businesses: Devices & Services (the innovators behind Echo, Kindle, Ring and Kuiper Low-orbit satellite program) and Artificial General Intelligence (the team behind Generative AI foundational model development at Amazon). We are seeking an experienced, curious and motivated Sr. Business Analyst to act as our direct liaison and “Analyst in the Line” for several PXT organizations supporting Devices businesses. Our work is dedicated to empowering leaders and enabling action through data and science. In addition to standard reporting, we seek to leverage analytics to help our leaders focus their efforts in ways that will engage, retain and grow their team members to propel the business forward.Key job responsibilities- Interview stakeholders to gather business requirements and translate them into data and analytic deliveries to be actioned by yourself and the team.- Write Extract-Transform-Load (ETL) jobs using sql and Amazon Big Data Technology in order to create fully-automated business metrics and insights.- Own the design, development, and maintenance of business-driven people metrics, reports, analyses, dashboards, etc. in order to drive key business decisions- Monitor and troubleshoot operational or data issues in the data pipelines and work with appropriate upstream data owners to resolve.- Review and audit existing team-owned ETL jobs, SQL queries, permission structures and metrics presentation for accuracy and to maintain the highest standard.- Identify and recommend opportunities to Junior analysts in order to enhance capability and quality of team operations and outputs.- Learn and understand a growing range of Amazon and specifically PXT data resources and discover how, and when to use which data sets.A day in the life- Work closely with HR teams across the globe, building on your strong analytical skills to support multiple teams with regular production of metrics and analytics that are meaningful and scalable.- Use your skills in ETL, automation, and data visualization to provide actionable insights for our teams.- Develop, automate and maintain Monthly and Quarterly business reviews for leaders in supported businesses- Conduct and present statistical analysis, such as regressions, chi-square testing, and confidence intervals in order to distill decisions from large-scale data.- Establish scalable, efficient and automated processes for large scale data analyses- Provide ad-hoc or special project data analysis to PXT Business Partners and Devices Business Leaders that enable them to achieve their people KPIs, drive decision making and create new strategies.About the teamThe PAIR team is a multi-functional team which leverages diverse skills of engineers, analysts and researchers in order to curate an optimal set of tools and innovative products for our customers in PXT and in the D&S and AGI businesses.BASIC QUALIFICATIONS- 5+ years of tax, finance or a related analytical field experience- 3+ years of writing SQL queries and creating business intelligence reports using Tableau, Power BI experience- Bachelor's degree- 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 ...

Amazon's Selling Partner Trust & Store Integrity organization is seeking an exceptional Business Analyst to drive analysis and insights to help our teams make meaningful business decisions. As a Business Analyst, you will focus on solving real world problems and build business cases to enable the organization to scale and invent on behalf of its customers. A key component of the role is to identify improvement opportunities by monitoring existing metrics, analyzing data, and partnering with many internal teams. In addition, you will design and develop automated reporting solutions to enable stakeholders to manage the business and make effective decisions. Lastly, you will enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format. The ideal candidate will be expected to influence and work with other leaders within the Selling Partner Trust & Store Integrity organization.Key job responsibilities• Produce written recommendations and insights for key stakeholders that will help shape effective strategies.• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions• Simplify and automate reporting, audits, and other data activities; build solutions to have maximum scale and self-service ability by stakeholders.• Solve complex and broad business problems with analytically derived solutions, applying appropriate analytical best practices.• Develop programs, methodologies, and reports for analyzing and presenting data.• Deep Dive data problems and offer scalable solutions.• Effectively collaborate in a fast-paced environment with multiple teams in a large organization.A day in the lifeWe operate on a weekly sprint to set priorities and deliverables. This allows us to be agile on emerging issues, but we maintain longer-term, larger projects with extended timelines as well. In any given day, you may be asked to pull some high level results, examine some existing legacy SQL to improve, design or update a quicksight dashboard, assisting with code reviews, and/or deconstructing an anecdote in data.About the teamSelling Partner Trust & Store Integrity's mission is to protect Customers, Selling Partners, Brands and Amazon’s businesses. We achieve this by proactively: (1) Ensuring robust vetting of a seller’s identity, location, and payment instruments and stopping bad actors from launching a new selling account, (2) Stopping bad actors from compromising existing selling accounts, (3) Stopping bad actors attempts to engage in financial fraud, (4) Preventing bad actors from driving sales through rank or reviews manipulation, and (5) Eliminating financial incentives for bad actors. We continue to scale Amazon’s businesses while protecting Buyers, Brands and Selling Partners while adhering to regulatory expectations.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 with Excel- Experience with SQL- Experience making business recommendations and influencing stakeholders ...

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 ...

Amazon Robotics Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers that work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we can’t even imagine yet. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling, and fun.Our Team The Amazon Robotics Sortation Analytics team discovers insights in vast and varied robotic data to help our engineering teams understand how their technologies operate across Amazon’s network of warehouses. We collaborate with designers, software and hardware engineers, and operations teams to understand product requirements, make feature trade-offs, design, and operate new applications of Amazon Robotics technology. We conduct relevant, insightful analysis and communicate the results through white papers and presentations. Our methods include design of experiments, statistical modeling, machine learning, financial analysis, and data visualization.Key job responsibilitiesWhat You Will Do You will collaborate cross-functionally with engineering teams, program managers, and leaders throughout the organization to deliver projects aimed at characterizing and improving the performance of new robotic automation technology in Amazon's network of warehouses. In this role, you will use a combination of unified and disparate data sources to uncover insights delivered through decision-driving analytics white-papers and automated data visualizations to influence the development and deployment of cutting edge robotic technology. You will collaborate with Data Scientists, Data Engineers, and Program Managers to define and deliver world class analytics tools and insights to shape the robotic technology landscape. What We Are Looking For A jack-of-all-trades data professional with a passion for delivering insightful and influential solutions to challenging and ambiguous problems. A practiced analyst, who uses data engineering, statistics, data visualization, and data science to influence decision making in cross-functional teams. We are seeking someone who can think holistically through compound problems to understand how systems work together to define and execute projects which drive improvements to robotic architecture or design. A day in the lifeAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!About the teamThe Amazon Robotics Business Intelligence, Analytics, and Data Science team discovers insights in vast and varied robotic data to support decision-making for engineering and operations customer teams. We collaborate with designers, software and hardware engineers, and operations teams to understand system performance, make feature and design trade-offs, and inform decisions on new applications of Amazon Robotics technology. We conduct relevant, insightful analysis and communicate the results through white papers and data visualizations. Our methods include design of experiments, statistical modeling, machine learning, financial analysis, and data visualization.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 ...