Business Intelligence

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.Amazon Web Services (AWS) is the world leader in providing a highly reliable, scalable, low-cost infrastructure platform in the cloud powering hundreds of thousands of businesses in hundreds of countries around the world. As part of the AWS Infrastructure organization, Data Center Planning and Delivery (DCPD) prepares for, plans, and builds the data centers that comprise the AWS cloud.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.We are seeking a highly skilled and motivated Business and Data Analyst in Seattle, WA to manage and solve business critical problems using requirements analysis, build data reports/ dashboards to deliver financial insights to the business. This role has direct impact on the day-to-day decision making of large-scale capacity delivery and financial programs.This role drives operational excellence, by: 1) deep diving critical financial insights and data, 2) identifying solutions to streamline current processes and visualizations, and 3) using knowledge of infrastructure projects and financial insights to advise or influence business decisions that have cross-region impact. You must be highly analytical and possess a strong passion for analytics and accountability, set high standards with a focus on superior business success you must also have a passion for process improvement and constantly looking for ways to work more efficiently. You will use your judgment, analytical talent, technical aptitude, and leadership to collaborate with a diverse set of stakeholders across multiple time zones, design solutions, remove blockers, and find creative ways to invent and simplify centralized solutions.Key job responsibilities• Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for business intelligence analytics.• Implementing data structures using best practices in data modeling to provide on-line reporting and analysis using business intelligence tools and a logical abstraction layer against large, multi-dimensional datasets and multiple sources.• Gathering business and functional requirements and translating the gathered requirements into robust, scalable, operable solutions that work well within the overall data architecture.• Analyzing source data systems and driving best practices in source teams.• Analyzing large amounts of data, discovering and solving real world problems, and building metrics and business cases to help business teams to make decisions.• Participating in the full development life cycle, end-to-end, from design, implementation and testing, to documentation, delivery, support, and maintenance to produce comprehensive, usable dataset documentation and metadata.• Evaluating and making decisions around dataset implementations designed and proposed by peer data engineers. Identifying business process improvements from the data level.• Analyzing and evaluating business process, and through data driven insights proposing and implementing business process improvement.About the teamAWS 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. 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.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- Bachelor's degree in finance, accounting, business, economics, engineering , analytics, mathematics, statistics or a related technical or quantitative field- 4+ years of business analyst, data analyst or similar role experience- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- 4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- 4+ years of experience partnering with executive-level leaders to identifying and solving business issues ...

As a Data Engineer, you will be working in one of the world's largest and most complex data warehouse environments. You will design, implement and support scalable data infrastructure solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models and ad-hoc data requests. You will be managing multiple Redshift clusters that support reporting needs for the transportation org. You will be exposed to cutting edge AWS big data technologies. You should have excellent business and communication skills to be able to work with business owners and Tech leaders to gather infrastructure requirements, design data infrastructure, build up data pipelines and data-sets to meet business needs. You stay abreast of emerging technologies, investigating and implementing where appropriate.Key job responsibilities- Design and develop the pipelines required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Python and AWS big data technologies.- Oversee and continually improve production operations, including optimizing data delivery, re-designing infrastructure for greater scalability, code deployments, bug fixes and overall release management and coordination.- Establish and maintain best practices for the design, development and support of data integration solutions, including documentation.- Work closely with Product teams, Data Scientists, Software developers and Business Intelligence Engineer to explore new data sources and deliver the data.- Able to read, write, and debug data processing and orchestration code written Python/Scala etc following best coding standards (e.g. version controlled, code reviewed, etc.)BASIC QUALIFICATIONS- 1+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)- Experience with one or more scripting language (e.g., Python, KornShell) ...

Account Health Support is looking for a highly analytical and result-oriented Business Analyst Manager to help build/enhance support for Amazon sellers in a global contact center environment.The ideal candidate works effectively in a cross-functional environment and is comfortable communicating with both technical and business stakeholders. This person uses data to guide decision-making, has strong business judgement, and can think creatively about new opportunities. This position will partner with program teams that enable operations and eliminating defects that lead to a negative policy experience for sellers. They will need to partner with global operations leads to align design, development, and maintenance of metrics, reporting, analysis and dashboards.Key job responsibilitiesResponsibilities of this position include:• Hire, manage, and coach a team of Business Analysts.• Strong leadership, vision and passion to build and drive a Business Analytics team to create changes in business partnerships, analytics, and metrics/reporting.• Drive the design, development and implementation of our Operations analytics to provide stakeholders with structured access to data.• Champion proper adoption of self-service analytic tools and reporting environments.• Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards that monitor and to drive key business decisions.About the teamAccount Health Support (AHS) is a global team that provides Selling Partners with empathetic support while addressing their account health and compliance concerns.BASIC QUALIFICATIONS- Bachelor’s degree in Finance, Business, Technology, or a similar discipline with analytical bias- 6+ years of relevant work experience as a business analyst, financial analyst, or similar position requiring analysis including the use of SQL, Python or similar. - 4+ years of experience using data driven analytics to support business decisions- 4+ years of people management experience, analysts or similar technical positions- Advanced proficiency with Microsoft Office (Word, Excel, and PowerPoint)- Experience with business intelligence and data visualization and reporting tools (e.g. Tableau, Quicksight) ...

Core Shopping (CS) Analytics turns disparate, raw data into actionable insights that improve every customer’s ability to securely discover, evaluate, and purchase products and services across the Amazon store. We own the analytics for the Navigation, Homepage, Inspire, App First, Detail Page, Cart, Checkout, Add-to-Cart, and Address experiences. Key job responsibilitiesYou are an Analytics subject matter expert for the Buying Experience team, presenting the best and most relevant product/offer evaluation information for every customer’s shopping mission. You will own the core datasets to understand how customers engage with core features on Detail Page to evaluate a product. You will develop a framework to understand the levers that drive a successful experience and build automated reporting with actionable insights for stakeholders to improve it. You will deliver in-depth analysis and recommendations to drive the product roadmap, generating incremental business value. You will partner with Science teams to improve relevance. As the chief evangelist, you will drive adoption of your dataset and mental model across the Consumer organization.A day in the lifeWe build in 5-week Sprints with 1 week for planning and 4 weeks for execution. Planning Week is used to groom the backlog and to scope & prioritize projects. We reserve the Friday of every Planning Week for a self-directed Learning Day. Over the 4 Execution Weeks, we have regular stand-ups and a mid-sprint demo. Projects will vary sprint to sprint among building derived/aggregate datasets, conducting analysis, and pushing learnings to customers.About the teamToday, we empower 500+ Builders directly and 100+ unique partner teams via our ‘Source of Truth’ datasets, self-service dashboards/gits, scheduled reports, and custom metrics consumed for cross-store evaluation. In 2023, we supported new experiences end-to-end from logging to reporting/self-service and continued maturing our foundational service offerings to enable more bandwidth for insight generation. 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 ...

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 who work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences. 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.Amazon Robotics empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfillment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas.Amazon Robotics internship/co-op/full-time opportunities will be based out of the Greater Boston Area in our two state-of-the-art facilities in Westborough, MA and North Reading, MA. Both campuses provide a unique opportunity to have direct access to robotics testing labs and manufacturing facilities.Must be eligible and available for a full-time (40h / week) 6-month co-op between January to June 2025 or July to December 2025.Key job responsibilities- Analyze historical data to gauge relative performance metric changes, highlighting causation. - Analyze data related to storage solutions to evaluate expected vs actual system performance and entitlement- Work with partner teams to onboard data from other Amazon data providers- Write queries to pull data and act as a thought partner through the design phase of CI & NPI solutions- Support existing dashboards making edits to the underlying SQL, metric definitions, and customer facing visualizations- Evaluate and observe data practices in your own work and throughout the team, always insisting on the highest standards- Recognize and implement best practices and automation opportunities for reporting and analysisBASIC QUALIFICATIONS- Are enrolled in or have completed a Bachelor's degree in statistics, business analytics, data analytics, data science, computer science or related field- Are enrolled in a academic program that is physically located in the United States- Are 18 years of age or older- Work 40 hours/week minimum and commit to 12 week internship maximum ...

Are you looking for an opportunity to own a large-scale technology problem? Do you enjoy finding patterns and pushing the boundaries of current possibilities? Are you interested in building reliable and scalable systems that support Amazon's growth? If so, Amazon Devices and Services Finance Technology (FinTech) is the perfect place for you!ABOUT THE TEAMAmazon Devices and Services FinTech is the global team that designs and builds the financial planning and analysis tools for a wide variety of Devices` new and established organizations. From Kindle to Ring and even new and exciting companies like Kuiper (our new interstellar satellite play), this team enjoys a wide variety of complex and interesting problem spaces. They are almost like FinTech consultants embedded in Amazon.ABOUT THIS ROLEThe Amazon Devices and Services FinTech team is expanding our data science team that is building a forecasting solution for the Amazon Devices and Services Finance organization, and we are looking for a Data Scientist to join us.As a data scientist, you will dive deep into data from across Amazon's finance organization, extract new insights, drive investigations and algorithm development, and interface with technical and non-technical customers. You will leverage your data science expertise and communication skills to pivot between delivering science solutions, translating knowledge of finance and operational processes into forecasting models, and communicating insights and recommendations to audiences of varying levels of technical sophistication in support of specific business questions, root cause analysis, planning, and innovation for the future.Key job responsibilities- Create various forecasts, including but not limited to Operational Expenses, and drive adoption of these forecasts by various teams within Amazon for financial and operations planning- Continuously innovate through research and the application of the latest machine learning techniques to drive forecasting accuracy improvement- Perform exploratory data analysis to identify business opportunities and develop a plan to address them- Communicate verbally and in writing to business customers with various levels of technical knowledge, educating them about our systems, as well as sharing insights and recommendations- Build customer-facing reporting tools to provide insights and metrics which track forecast performance and explain variance- Utilize code (Python, R, Scala, SQL, etc.) for analyzing data and building statistical and machine/deep learning modelsA day in the lifeIn a typical day as a data scientist at Amazon FinTech, you'll begin by delving into complex datasets, applying your technical expertise in feature engineering and exploratory data analysis to uncover valuable insights. You'll utilize both traditional time series forecasting techniques as well as more advanced machine learning algorithms to build accurate and reliable forecasting models that solve complex business problems like Operational Expense (OpEx) Forecasting. Collaboration with business, engineering, and partner teams is essential, as you'll translate your data-driven forecasts into actionable insights that align with strategic goals. Throughout the day, you'll innovate by adapting new forecasting methods, ensuring your solutions are stable, scalable, and fault-tolerant. Your strong communication skills and attention to detail will help you manage and integrate large datasets, solve unstructured problems, and drive projects to completion in a fast-paced, dynamic environment.Join us and be a part of our dynamic team, driving the future of financial technology at Amazon.BASIC QUALIFICATIONS- Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science- 3+ years of data scientist experience- 3+ 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 machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience- Experience applying theoretical models in an applied environment ...

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 ...

Transparency represents an incredible opportunity to raise retail industry standards around authenticity, product transparency, and supply chain tracking. We are focused on building a global service which allows consumer brands and consumers to trace the origin of items throughout the supply chain ensuring only authentic items enter the supply chain. The Transparency service is focused on preventing the receipt and sale of counterfeit goods both online and offline. Our customers include individual consumer brands who sell both on and off of Amazon directly or through a network of direct and third-party sellers.Transparency is looking for an exceptional Business Analyst who loves solving complex problems to drive analysis and insights to help our teams make meaningful business decisions. The person should have a detailed understanding of a business requirement or the ability to quickly get to the root cause of a particular business issue, and draft solutions to meet requirements or resolve the root problems. You will work closely with program managers and product managers to analyze massive data sets, identify areas to improve, define metrics to measure and monitor programs, and most importantly work with different stakeholders to drive improvements over time. You will also work closely with internal teams to extract or mine information from our existing systems to create new analysis, and expose data from our group to wider teams in intuitive ways.Key job responsibilitiesAn ideal candidate for this role:· Will have relevant experience in data analytics working with large data sets using various tools and technologies· Will transform data into actionable business information, and will make it readily accessible to stakeholders worldwide· Will use data to support ideas, drive actionable outcomes, and provide unique ways to present data and information in an easy to consume format· Will be passionate about finding root causes, trends, and patterns and how they impact business.· Will draw inferences and conclusions, create dashboards and visualizations of processed data· Will have business and communication skills to be able to work with product owners to understand key business questions to build reports that enable product owners to answer those questions quickly and accurately. Will be very comfortable juggling competing priorities and handling ambiguity. Will thrive in an agile and fast-paced environment on highly visible projects and initiativesA day in the lifeAs a Business Analyst, you will help develop an analytic solution to drive deep dives, provide insights and measure business impact. You will transform data into actionable business information, and will make it readily accessible to stakeholders worldwide. You will own the design, creation, and management of extremely large datasets. From Day 1, you will be challenged with a variety of tasks, ranging from creating datasets, reports, dashboards to metadata modeling, pipeline monitoring. You will interact with internal program and product owners, and technical teams to gather requirements, structure scalable and perform data solutions, and gain a deep understanding of key datasets.BASIC QUALIFICATIONS- Experience defining requirements and using data and metrics to draw business insights- 3+ years of tax, finance or a related analytical field experience- 3+ years of business or financial analysis experience- Experience with SQL- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- Bachelor's degree or equivalent- Experience with Excel- Experience making business recommendations and influencing stakeholders ...

At Amazon, we're working to be the most customer-centric company on earth. Customer Service is at the heart of what we do. Are you interested in shaping the future of Amazon Customer Service globally and driving strategic initiatives that shape the future of support for our employees and customers?The Consumer Customer Service Support (C2S2) team is looking for a talented and experienced Business Intelligence Engineer (BIE) to work across Customer Service and other Amazon teams to improve its content management, training, and program management functions. You will be part of a team of analysts responsible for developing and maintaining the reporting infrastructure for C2S2. This includes measuring the efficacy of training, associate facing content, Amazon’s help pages, and strategic program initiatives. As a BIE, you will support both the C2S2 functional teams and the rest of the analyst team to automate, standardize and scale their most complex data tasks.A successful candidate will have a passion for data analytics and a deep knowledge of business intelligence solutions. The individual will have experience working with diverse groups of stakeholders, gaining expertise in their data and metrics, and translating their business needs to technical solutions. The individual will have the ability to work in a fast-paced environment, and a desire to innovate, fail fast, learn, iterate and improve.Key job responsibilities· Work with stakeholders to understand their needs and design reporting and automation solutions that will exceed expectations· Build detailed understanding of CS processes and how they map to data· Work with a variety of data sources and large data sets, extract data using efficient query development and provide a holistic and consistent view of the data· Actively drive automation and scaling of data processes and create self-service tools· Build knowledge of the latest tools and technologies to help deliver flexible and scalable solutions· Partner with data engineering teams to adapt data infrastructure to requirements· Actively manage the timeline and deliverables of projects, anticipate risks and resolve issuesAbout the teamIf you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:1. Medical, Dental, and Vision Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) PlanBASIC QUALIFICATIONS- 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 writing complex SQL queries- Experience with forecasting and statistical analysis- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field ...

Global Talent Management and Compensation (GTMC) is centrally responsible for creating and evolving Amazon’s talent programs and processes. The Executive Talent Management Analytics team is a team of Business Intelligence Engineers and Data Engineers with a direct impact on 300,000+ Amazonians across all of our businesses and locations around the world. We use employee data to drive the right conversations with S-Team leaders and other executives about how to improve existing talent programs and explore new and developing questions that shape our talent landscape.The Executive Talent Management Analytics team is looking for experienced BI engineer to support the end-to-end business intelligence for new and evolving talent products, proprietary to Amazon. In this role, you will work directly with customers, leaders, and program owners, influencing opportunity identification, product design, data capture, reporting/measurement, and evaluation strategies. You will use existing data/research to identify new challenges and opportunities, as well as data collected through methods you create/define. You will leverage your subject matter expertise and strong written/verbal communications skills to develop reproducible research/analyses shared with PXT analysts embedded across Amazon’s diverse set of businesses. As the end-to-end analyst for the product, you will also build proof-of-concept reporting tools, while scaling ad hoc data access, enabling the product team self-serve and make informed decisions in a fast-paced, ambiguous business environment.Key job responsibilities· Align with leaders and customers to translate business issues into testable hypotheses answerable with data.· Develop and execute analyses to drive talent insights.· Create data capture and measurement strategies that drive business action.· Drive a roadmap from descriptive to predictive analytics, moving routine tasks to self-service for your client group.· Work closely with peers and stakeholders to access, pull, transform, and analyze data from a variety of PXT sources.· Gather new data, and/or creatively use existing data to propose metrics and present them in compelling but easily understood way to a non-statistical audience.· Apply statistical tests to data, including (but not limited to), t-tests, chi-square, and regression.· Compile results in a concise, meaningful, and actionable format and share findings to senior leadership.· Build processes to scale fast and accurate on-demand and ad hoc data/analytical requests for leadership and key stakeholders.A day in the lifeAs 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.Come build the future as a Senior 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.About the teamWork/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 writing complex SQL queries- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

The Strategic Account Services (SAS) organization strives to improve the Amazon customer experience by working directly with selling partners to enable more selection, reduce defects, and drive growth across their businesses. Our team invents and innovates across technology, processes and people to enhance the services we offer, improve selling partner engagement and satisfaction, and build scalable solutions. We are seeking an experienced, motivated, self-directed Senior Business Analyst to join our team. You must thrive on solving complex problems and providing insights to help us improve the business and seller experience. You will generate insights that will guide operational excellence and product development for our customers. Data analysis is at the core Amazon’s culture, and your work will have a direct impact on decision making and strategy for our team. You will have the opportunity to work with a large and complex data warehouse to gather insights using data from across Amazon. These efforts will improve the ways in which we service our sellers and improve the business performance for SAS. We are looking for someone with a broad technical background in data analytics, strong business acumen, who takes ownership of their work, and is focused on customer needs - you will own central team mechanisms, and help senior leaders make key business decisions. The successful candidate will communicate crisply in non-technical terms to senior management. They will have an ability to make data-driven conclusions and will be comfortable with ambiguity while working in a fast-paced dynamic environment. The candidate will also need to be a collaborator who can work with internal and external teams to define and implement solutions that will yield benefits to Amazon customers around the world.Key job responsibilities• Build a data structure and reporting process by working through various business parameters, which establish truth in data• Understand the business challenges and identify data-driven business insights with effective presentation of findings at multiple levels of stakeholders• Design and conduct experiments on the effectiveness and efficiency of different initiatives to improve key output metrics and help shape the long-term strategy• Leverage data to increase the efficiency of our programs working closely with the business teams to drive optimization• Update existing and create new metrics and reporting that help drive business conclusions, continually improving reporting and analysis processes• Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards to help determine key business conclusions• Recognize and adopt best practices in reporting, analysis, and research (data integrity, test design, analysis, validation, and documentation)BASIC QUALIFICATIONS- Bachelor's degree- 5+ years of tax, finance or a related analytical field experience- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau- 3+ years of experience writing SQL queries and creating business intelligence reports ...

Amazon Freight is building a disruptive transportation product with the vision of redefining shipping for its customers. The goal is to develop easy-to-use, reliable and transparent transportation services that beat all existing shipping alternatives for our customers. In doing this, Amazon Freight is deeply studying customer shipping needs and building innovative, market-leading solutions that will organically attract customers towards our services. To help us succeed in this large endeavor, we are looking for entrepreneurial individuals who will organize, execute and deliver key features to the Amazon Freight product portfolio. We are looking for a dynamic, self-starting Senior Business Analyst to guide pricing strategy and business outcomes with analytics and data-driven insights. You will be working in one of the world's largest and most complex data warehouse environments. The insights you generate will allow us to prioritize our product roadmap, inform business and pricing strategy, and improve the customer experience and bottom line performance. You will develop statistical models that help understand underlining drivers of the business and optimize our prices. You will collaborate with leaders from product, research science, engineering, sales, finance, and more. The position requires a candidate who can work cross functionally to develop and define key business questions, build datasets and analytical frameworks which answer those questions, and synthesize those insights into actionable recommendations to audiences of varying technical aptitude. This position will be part of the Worldwide Transportation strategy team, which has global responsibility.Key job responsibilities- Develop a deep understanding of our customers and supply chain- Deep dive into large data sets to answer key business questions using SQL, Excel, and other data management systems- Systematically identify data sources, perform analysis and build data pipelines to influence product roadmaps and business strategy- Communicate complex insights to stakeholders, both verbally, in writing and through visualization and dashboards- Perform complex data research to identify opportunities to optimize pricingBASIC 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 ...

We are looking for a highly analytical Business Intelligence Engineer to join Amazon’s Global Accounting Business Intelligence and Analytics team. The Accounting BI team supports the global Accounting organization with process automation/improvements, developing automated reporting solutions/tools, and improving the ability of the accounting organization to process, analyze, access and consume accurate and timely financial data. The team supports the global accounting organization and partners closely with accountants and financial analysts supporting the various businesses and industries Amazon operates in. The ideal candidate thrives in a fast-paced environment, relishes working with ambiguity, big data, and enjoys the challenges of highly complex business context. This role requires an individual with excellent analytical abilities, deep knowledge of business intelligence solutions, and the ability to quickly learn, adapt and work with a variety of technologies. Key job responsibilities- Collaboration and partnership with Accounting and software development teams driving enterprise level projects- Contributing to the design, development, and maintenance of multiple scalable solutions supporting internal/external global stakeholders- Coordinating project prioritization with multiple stakeholders, managing and executing competing priorities from end to end within defined timelines- Supporting the global accounting organization with various ad-hoc reporting, analyses, and data processing needsBASIC QUALIFICATIONS- Bachelor's degree- 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) ...

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. The Global Risk Intelligence team (GRI) provides the data, science, and tools to support hiring over 1MM hourly associates every year, ensuring Amazon is able to meet it’s delivery speed goals, as well as helping choose new locations for Amazon logistics buildings. We are looking for an experienced Business Intelligence Manager to work with our engineers and leadership team. The ideal candidate will have a natural curiosity about solving problems, identifying the right metrics to inspect the business, and to help leaders make great data driven decisions. You will work with a highly collaborative team, and have direct influence over analytical roadmaps, establishment of key performance metrics, dashboards and report development. You’ll be responsible for working with senior leadership to provide analytics to build predictive modeling and insights into Workforce Staffing's Site Selection and Fill Risk Management use cases. Successful attributes include: effective communicator and leader of various levels and audiences, the capacity to remain flexible and adept at learning new tools, and the facility to implement new systems within a team atmosphere.Our environment is deadline driven and fast paced and therefore requires detail-oriented individuals comfortable interacting or working with multiple teams (business and technical). As you further your career as a Business Intelligence Manager, you will focus on improving corporate reporting frameworks and data visualization. You will build capacity solutions for the growing managed businesses. You will solve real world problems and build metrics and business cases to improve decision making. Key job responsibilities* Centralize reporting and synthesize insights to deliver predictive insights and recommendations for optimization.* Build solutions and drive strategies for organizational wide operational excellence and operational programs to evolve day to day reporting mechanisms* Work with teams from across Amazon to improve data quality within their respective products and platforms* Work with software developers / data engineers to improve data quality and drive operational excellence for data ingestion, transformation and publication to ensure confidence in the systems we build.* Champion and actively develop a data-centric approach, acting as coach, mentor, champion and in-house expert within the WFI team* Be a “do-er” as well as a leader* Be a data and analytics expert that your team can turn to for assistance. Be able to produce individual analytics and guide individual contributors across the team.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- 5+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience- 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- 3+ years of quantitative and qualitative data science/business intelligence with significant business impact experience ...

The xACE team (Cross-Banner Analytics, Capabilities & Enablement) is a team of business analysts and business intelligence engineers that provide data and analytics capabilities to support some of the most critical Grocery initiatives. We work closely with product, marketing, business and science teams to provide insights on program performance, customer journey and customer life cycle, across both Whole Foods Market and Amazon.The xACE team is seeking a highly technical and experienced Business Intelligence Engineer with strong SQL and Python skills to provide data insights and reporting to product, program and business leadership on vital cross-brand programs such as Grocery Subscriptions, online shopping and ordering, Whole Foods marketing and many more.The ideal candidate will draw upon advanced analytical, problem solving skills, and passion for delivering business insights and analytics. We look for candidates who are excellent communicators, self-motivated, flexible, hardworking, and who like to have fun. This role will have high level visibility due to the criticality and cross-functional nature of the products and programs that this analyst will support. This role has great exposure to a broad scope of work and tools that can really help shape the future and convergence of Amazon Grocery, while providing several paths for career growth.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- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets- Experience with data modeling, warehousing and building ETL pipelines- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business- Experience working with online product/e-commerce teams and a general understanding of clickstream data ...

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

The PXT Empl Onboarding&Admin Svcs team is looking for a Business Intelligence Engineer (BIE) support critical data reporting and analytics initiatives for the Joining Amazon Domain.The BIE will work closely with the service to gather comprehensive data requirements and coordinate with partner teams to source the necessary data from diverse data lakes, maintaining data parity and continuity during platform migrations/deprecation.The BIE will play a key role in the organization's AWS account management and security certification, proactively identifying and resolving security violations, managing IAM roles and policies, and configuring data ingestion workflows leveraging 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 in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business ...

Are you looking to build and scale a new and growing business with Amazon? If so, you might be interested in this role with Amazon Freight.Amazon Freight is a startup business within Amazon focused on developing an industry-leading transportation offering to provide external freight Customers access to the world-class network and freight services currently used to facilitate Amazon’s own freight movements. Our freight offerings/portfolio ensures our Customer’s freight is moved with the highest level of service and quality at a competitive price across multiple modes of transportation, including truckload, less-than-truckload, and intermodal. In doing this, Amazon is deeply studying customer shipping needs and building innovative, market-leading solutions that will organically attract customers towards our services.We are seeking a Senior Business Intelligence Engineer who is passionate about leveraging data to deliver actionable insights for Amazon Freight. Our ideal candidate is someone who has strong technical and analytical skills, enjoys building a new business and the ambiguity that comes with that. You should thrive and succeed in an entrepreneurial environment and won't be hindered by ambiguity. If you enjoy innovating, thinking big and want to contribute directly to the success of an industry changing business, you may be a prime candidate for this position.Key job responsibilities· Generate insightful analysis, reporting, and data visualizations to answer critical business questions, proactively identify notable trends, and communicate business performance· Translate data into actionable insights for stakeholders while proactively identifying new areas of opportunity to drive further improvements· Apply expertise in data mining and modeling leveraging multiple data sources to uncover unique insights, identify key performance drivers, and build predictive models· Work backwards from your end-customer to define, design, and execute each work item with an emphasis on improved metrics, productivity, and efficiency· Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentationBASIC QUALIFICATIONS- 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 ...

Amazon is investing in building a customer centric, world class advertising business. In this role, you will be on the cutting edge of developing publisher solutions across Streaming Video, Streaming Audio and Display Advertising. These are nascent, high growth areas, including Amazon’s Prime Video, Alexa, Amazon Music, and new acquisitions in Podcasting, where scalable, programmatic Ad publisher solutions are critical to business success.As a Senior Business Intelligence Engineer for Supply Forecasting, you will have an enormous opportunity to impact the customer experience and business of cutting-edge products and services. You'll be a key member of a growing organization's strategy of how to measure and improve the things that matter most to our customers. You will work with product leaders to analyze feature launches and engagement trends to generate key insights for future improvements. You will work with engineering teams to make sure that we have the data that helps us measure what matters most. Most importantly, you will work across teams to drive alignment of key metrics and performance indicators and set goals that help our teams achieve our long-term visionA successful candidate is highly analytical, able to work extremely effectively in a matrix organization, and adept at synthesizing a variety of technologies and capabilities into products that Advertisers love. You must engage with customers to deeply understand their current and emerging needs. Publisher Technology at Amazon is rapidly evolving and you must develop customer insight to identify solutions and invent on behalf of the customer. We are looking for someone customer obsessed and technology savvy - with a passion for advertising. The ideal candidate will have a well-rounded technical background as well as a history of leading complex, ambiguous projects end-to-end.Key job responsibilities• Own the design, development, and maintenance of ongoing performance metrics, reports, analyses, and dashboards to drive key business decisions• Transform data into actionable insights and influence the direction of the business by delivering automated insights and high-quality metrics dashboards.• Partner with Data Engineering to define data models to develop streamlined automated data and analytical pipelines.• Engage and collaborate with stakeholders to design and develop high quality metrics and dashboards that effectively track evolving business initiatives.• Present and communicate findings and recommendations to product and leadership team.• Engage with leadership and diversified stakeholder groups to understand data needs and recommend Business Intelligence solutions.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 ...

Seller Partner Services (SPS) is responsible for creating a trustworthy shopping experience across Amazon stores worldwide by protecting customers, brands, selling partners and Amazon from fraud, counterfeit, and abuse as well as empowering, providing world‐class support, and building loyalty with Amazon’s millions of selling partners. We value individual expression, respect different opinions, and work together to create a culture where each of us is able to contribute fully. Our unique backgrounds and perspectives strengthen our ability to achieve Amazon's mission of being Earth's most customer-centric company.The Localization & Language Expansion Team (LELI) develops high-quality, user-centered content for the companies and individuals who sell goods and services through Amazon, and for the team that helps sellers when they contact Seller Support.The team's goal is to deliver/localize content that provides Selling Partners and Customers a direct path between an issue and it’s resolution, by providing timely and helpful documentation in 27 languages across 19 stores.The team is looking for a talented, driven, self-directed Business Analyst to join an organization that is responsible for the success of implementation of content management programs. This person will be responsible for ensuring we meet our key deliverables, on time with high quality, and communicating status to internal and external stakeholders. This person will also help provide the analytics and insights to improve the process for building our tools on a global scale. This Business Analyst must have advanced proficiency in SQL, statistical analysis and Excel (including Pivot Tables, dynamic dashboards, array functions, Power Pivots, VBA, etc.) and can build instrumented dashboards for impact analysis and reporting.Also has program management skills to work closely with the Product Managers, process engineering, Operations and Customer Excellence teams on process improvement initiatives, root cause analysis and A/B testing. Successful candidates will have a strong analytical skills, program management background, be detail oriented, and have excellent problem solving abilities. The candidate should also have strong communication and project management skills, enabling them to work with key business stakeholders to understand requirements and shape analytical deliverables. He/she should also have a demonstrated ability to think strategically and analytically about business, product, and technical challenges, with the ability to work cross-organizationally.Key job responsibilitiesThis role is requiring an individual who thinks big and will build reporting capability for Localization and Language Expansion analytics. The ideal candidate for this role will should be:Able to proactively identify problems with significant business impact; facilitate analysis to identify problems and opportunities.Work with team leadership to understand the customer needs and concerns as well as define solutions.Translate basic business problem statements into analysis requirements. Work with internal customers to define best output based on expressed stakeholder needs.Use analytical and statistical rigor to solve complex problems and drive business decisions.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 data available in area of expertise. Pull the data needed with standard query syntax; periodically identify more advanced methods of query optimization. Convert data to make it analysis-ready.Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.Monitor and troubleshoot operational or data issues in the data pipelines.Review and audit existing ETL jobs and SQL queries.BASIC QUALIFICATIONS- 3+ years of tax, finance or a related analytical field experience- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- 3+ years of business or financial analysis experience- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders- Experience with Excel ...