Business Intelligence

Have a passion for food? The Pricing & Promotions Team is looking for a Business Analyst to join our team who has a passion for solving unique problems to help us drive world class research and analysis, and invent the future of grocery with our customers.Key job responsibilities- Design, develop and maintain dashboards for reporting business metrics to analyze the effectiveness of omnichannel price and promotions to inform the business strategy- Write high quality SQL code to retrieve and analyze pricing and promotions data, customer purchase behavior, customer insights data, and learn and understand a broad range of Amazon’s data resources and know how, when, and which to use and which not to use.- Convert data collected via SQL code and existing customer metric dashboards created by other Business Intelligence teams into insights including implications and recommendations that are specific and actionable across the business.- Communicate insights using data visualization and presentations to stakeholders.- Work on new and ambiguous business problems which have not been solved yet and offer the chance to innovate and apply novel approaches to tackle these problems.- Stay current on best practice in analytics methodologies and trends.About the teamThe pricing and promotion team is embedded within the larger category team responsible for the assortment and pricing decisions that drive profit and loss. We interact with an array of cross functional stakeholders including technology teams, grocery scientists and economists, marketing, customer insights, and other grocery partners across Amazon. We have strong bias for action and enjoy the nature of being a part of scaling startup within Amazon. BASIC QUALIFICATIONS- 3+ years of tax, finance or a related analytical field experience- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- 3+ years of business or financial analysis experience- Bachelor's degree or equivalent- Experience defining requirements and using data and metrics to draw business insights- Experience with SQL- Experience making business recommendations and influencing stakeholders ...

The Relay Operations Center (ROC) Tech Analytics team is seeking an exemplary Business Analyst with broad technical skills to develop data visualizations and build automation solutions that drive business decision making and process improvement. The complexity of research and skills for a Business Analyst is well beyond basic data entry and extraction. It involves design and development of automated data pipelines, sophisticated analytical modeling and intuitive data visualization. This role will directly be responsible for maintaining front end code using Python, SQL, HTML, Java, and R, or other similar coding languages. This role will have high level visibility due to the nature of the tool sets being maintained, built, and the network impact of analysis conducted. This role has great exposure to a broad scope that can really help shape the future of operational fulfillment and promotes career progression.Key job responsibilities - Data extraction, manipulation and production from database tables (Data Warehouse) - Automation and tool development using various programming languages - Design and implementation of analytical models using statistical analysis - Development of data visualization using commercial suites - Generating/extracting data from our BI databases to support dive deep activities- Prioritizing, optimizing and delivering timely updates for metrics- Automating reports and tools with a combination of SQL, visualization tools- Partnering with stakeholders to understand business challenges and provide data/analysis to help drive projects- Uncovering trends and correlations through data mining and analysis to develop insights that can improve the business and help make effective decisions- Building dashboards and tools that will allow our team and cross-functional partners to self-service their data needs whenever possible- Graphically expressing data to allow easy access and understanding for a broad range of people- Uncovering trends and correlations through data mining and analysis to develop insights that can improve the business and help make effective decisions#NALHBASIC QUALIFICATIONS- Bachelor's degree or equivalent- 2+ years of business analyst, data analyst or similar role experience- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders- 2+ years of experience in SQL ...

Do you want to innovate on a new platform with Amazon Web Services (AWS)? Come join our team in AWS, you’ll help us design and deliver data engineering solutions that enables AWS to expand our operations into new data centers worldwide. Our green-field solutions will support programs in compliance and sustainability, and build a platform that will extend to first-class AWS services. You will collaborate with engineers designing data solutions at scale. Global Trade and Product Compliance (GTPC) works closely with the business and its partners to support global business expansion efforts by enabling the international flow of AWS’ hardware, software, services, and technology. We facilitate global trade and ensure compliance with all relevant global trade and product compliance standards, laws, and regulations.Key job responsibilities- Architecture design and implementation of next generation complex data pipelines and BI solutions based out of AWS.- Manage AWS resources including S3, EC2, RDS, Redshift, Kinesis, EMR, Lambda, Glue, Apache Airflow etc.- Build and deliver high quality data architecture and pipelines to support business analyst, data scientists, and customer reporting needs.- Interface with other technology teams to extract, transform, and load data from a wide variety of data sources- Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers- Actively participate in the code review process, design discussions, team planning, operational excellence, and constructively identifies problems and proposes solutions. A day in the lifeAs a Security Assurance Data Engineer, you will help tackle a diverse landscape of technical challenges. You will partner with other Software Engineers along with Data Engineers, Business Intelligence Engineers, Product Manager, and Program Managers inside and outside of the team to distill large, complicated datasets into automated, digestible analytic deliverables. You will play an active role in translating business requirements into concrete systems and prototyping concepts in partnership with Amazon, technology leaders within the team and across the business.You’d be expected to have high standards for writing SQL, build data pipelines with infrastructure as code, code quality, code reviews, testing, and operational excellence. You’ll support your peers to deliver results in a space that operates much like a start-up, with the autonomy to build the right solution from Day One. As a DE with our team, you will collaborate with other engineers on technical direction, strategy with a career opportunity for growth that AWS can offer. About the teamDiverse ExperiencesAmazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.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.Inclusive Team CultureIn 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 & 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.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with SQL, data modeling, data warehousing, and building ETL pipelines.- Experience in designing, implementing, and overseeing data processing systems tailored for extensive datasets.- Proficiency in at least one modern programming language, whether it's Java, Scala, or Python.- Experience in at least one scripting or programming language, such as Python, or JavaScript or TypeScript ...

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 ...

The Seller Insights and Planning team’s mission is to make FBA the best place for sellers to both thrive and delight customers. We achieve this through identifying opportunities to address seller pain points, optimizing our services to reduce seller effort, eliminating the defects that lead to seller costs, and orchestrating initiatives across business, technology and operations that simplify the seller experience.As a Business Analyst II, you use data analysis and business understanding to solve complex problems and drive decisions within projects aimed at enhancing WW FBA seller performance. You work tactically, learning to be strategic, handling projects based on stakeholder requests, and proactively identifying patterns to propose solutions. This role will require you to collaborate with stakeholders to define problems, set goals, and deliverables, and create short-term solutions, while managing roadblocks with limited guidance. This work will directly impact the development of strategic plans and initiatives aimed at improving seller operations, increasing sales, and enhancing customer satisfaction. Additionally, you will build reports and metrics, drive ad hoc analysis, and communicate insights to key stakeholders. Key job responsibilitiesBuild and maintain recurring metrics and reports for WW FBA Business. Monitor existing metrics as well as develop and propose new metrics, working with a variety of business stakeholders. Design and implement reporting solutions enabling stakeholders to manage the business and make effective decisions.Collect, analyze, and interpret large datasets related to WW FBA seller performance, customer feedback, and operational metrics. Identify trends, patterns, and insights to drive strategic decision-making and present findings to stakeholders. Build a deep understanding of the WW FBA Business objectives and operational processes. Use this knowledge to communicate findings clearly and concisely to stakeholders.Continuously look for ways to optimize business processes and workflows. Inform process owners of potential improvements and work collaboratively to implement changes.BASIC QUALIFICATIONS- 2+ years of Excel or Tableau (data manipulation, macros, charts and pivot tables) experience- 2+ years of business analyst, data analyst or similar role experience- Experience making business recommendations and influencing stakeholders- Bachelor's degree or equivalent- Ability to transform data and metrics into visualizations and summaries.- Experience defining requirements to achieve complex business solutions ...

Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you? If so, the Amazon Logistics, Last Mile team is for you. We manage the delivery of tens of millions of products every week to Amazon’s customers, achieving on-time delivery in a cost-effective manner.We are hiring a Business Intelligence Engineer to identify strategic initiatives that will form the next generation of Amazon Logistics. As a Business Intelligence Engineer you will be working in one of the world's largest and most complex data warehouse environments. In this role, you will primarily work on designing and building automated reporting and dashboards using complex data. We are still in the nascent stage so it is an exciting opportunity to be involved from design-to-execution. As a BI Engineer, you will operate as a mix of hands-on builder and influencer.The team’s success depends on our ability to create actionable insight from the data that we and our partners generate. The ideal BIE candidate will have excellent analytical abilities, business acumen, high judgment, strong technical skills, and good written and verbal communication skills. This person will be a self-starter, comfortable with ambiguity, able to think big and be creative (while paying careful attention to detail), and enjoys working in a fast-paced dynamic environment. To be successful in this role, you should have broad skills in data mining, be comfortable dealing with large and complex data sets, while applying analytical rigor to solve business problems.This role is cross-functional - you will work closely with partners in Product Management, Training and Program Management to design and deliver data needs. You should be comfortable working in a dynamic, start-up environment, and seek data-driven decision-making. You should have strong analytical and communication skills and be able to work with product managers and business development teams to define key business questions and build data sets and models that answer them.Key job responsibilities- Develop complex queries for ad hoc requests and projects, as well as ongoing reporting.- Design, develop and maintain scalable, automated, user-friendly systems, reports, dashboards, etc. that will support our analytical and business needs- Design, implement, and support key datasets that provide structured and timely access to actionable business information addressing stakeholder needs.- Interface directly with stakeholders, gathering requirements and owning automated end-to-end reporting solutions.- Partner with analysts, data engineers, business intelligence engineers, and software development engineers across Amazon to produce complete data solutions.- Simplify and automate reporting, audits, and other data-driven activities; build solutions to have maximum scale and self-service ability by stakeholders- Proficiency with SQL queries to retrieve and analyze data. Learn and understand a broad range of Amazon’s data resources and know how, when, and which to use.- Estimate models, write analyses, and extract insights and provide business recommendations.About the teamWe serve AMZL’s Learning teams as the strategic thought leader, looking beyond where other teams are focused to drive transformative solutions that leverage technology and processes to improve learning outcomes and drive down the cost to serve.Key job responsibilities- Develop complex queries for ad hoc requests and projects, as well as ongoing reporting.- Design, develop and maintain scalable, automated, user-friendly systems, reports, dashboards, etc. that will support our analytical and business needs- Design, implement, and support key datasets that provide structured and timely access to actionable business information addressing stakeholder needs.- Interface directly with stakeholders, gathering requirements and owning automated end-to-end reporting solutions.- Partner with analysts, data engineers, business intelligence engineers, and software development engineers across Amazon to produce complete data solutions.- Simplify and automate reporting, audits, and other data-driven activities; build solutions to have maximum scale and self-service ability by stakeholders- Proficiency with SQL queries to retrieve and analyze data. Learn and understand a broad range of Amazon’s data resources and know how, when, and which to use.- Estimate models, write analyses, and extract insights and provide business recommendations.About the teamWe serve AMZL’s Learning teams as the strategic thought leader, looking beyond where other teams are focused to drive transformative solutions that leverage technology and processes to improve learning outcomes and drive down the cost to serve.BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, innovative and driven leaders. If you'd like to help us build the place to find and buy anything on-line, this is your chance to make history and be intimately involved in growing our business by leading and supporting hourly staffing initiatives. The vision of Workforce Intelligence is to design the ideal workforce to meet the customer promise anywhere. The Workforce Intelligence team applies data and insights to optimize the experience and operations for Amazon’s largest candidate population – Tier 1 Associates, who bring the magic of Amazon’s industry-leading Customer Fulfillment experience to life. The pace at which job creation and hiring must happen to support the scale and complexity of Amazon businesses is a problem Amazon is uniquely qualified to solve for and continually innovate on. Workforce Staffing (WFS) literally hires by the hundreds of thousands across multiple role times, job attributes, and for a range of business lines.As a Data Engineer, you will provide technical leadership, lead data engineering initiatives and build end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective. You strive for simplicity, demonstrate creativity and sound judgement. You deliver data solutions that are customer focused, easy to consume and create business impact. You are passionate about working with huge datasets and have experience with the organization and curation of data for analytics. You have a strategic and long term view on architecting advanced data eco systems. You are experienced in building efficient and scalable data services and have the ability to integrate data systems with AWS tools and services to support a variety of customer use cases/applications.In this role, you have the opportunity to: - Design, implement and operate large-scale, high-volume, high-performance data structures for analytics and data science. - Implement data ingestion routines both real time and batch using best practices in data modeling, ETL/ELT processes by leveraging AWS technologies and big data tools. - Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture. - Collaborate with engineers to help adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation - Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers.Key job responsibilitiesAs a Data Engineer with Workforce Intelligence, you will partner with Software Engineers, Data Scientists and Business Intelligence Engineers. You will gain a deep understanding of our services and the data they produce, and become our resident expert in how to transform that data into a format that is useful for analytics and business intelligence. You will proactively help to identify new data for integration with our platform, and propose and implement new technologies to help us better understand our data.In this role, you will serve as the expert in designing, implementing, and operating a stable, scalable, low cost environment to flow information from the source systems to data warehouse into end-user facing reporting applications such as Tableau or AWS QuickSight. Above all, you will bring large datasets together to answer business questions and drive data-driven decision making.About the teamThe Workforce Intelligence team supports the Workforce Staffing organization by transforming data into insights on high volume hiring within Amazon. While WFS is responsible for the management of the Tier 1 talent supply chain, the Workforce Intelligence team in particular focuses on defining analytics that measure the performance of the program. While we continue to work on metrics that help monitor the health of the program we also spend efforts on identifying efficiencies in the process path through the power of data and predictive analytics.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS- Experience as a Data Engineer or in a similar role ...

Join us at Amazon as we reinvent shopping again! We're not just talking about improving the existing Amazon shopping experiences, we're building a brand-new world where shopping is effortless and intuitive through the power of generative AI. Leveraging state-of-the-art Large Language Models and generative AI, we're creating a live, two-way natural language conversational experience that is fast, helpful and trustworthy.As people turn to Amazon for deeper insights and understanding about products earlier and earlier in their shopping journeys, we're stepping up to the challenge by synthesizing complex information and multiple perspectives so customers can explore Amazon’s vast catalog to find exactly the products that solve their particular needs. Imagine having a back and forth conversation with an AI assistant helping you to articulate a problem you’re trying solve, effortlessly answering your product questions and giving you trustworthy advice and recommendations for what to buy. Also imagine a world where this same AI assistant reduces your mental load by proactively predicting and then fulfilling your shopping needs without you needing to interfere, thus saving you time and money along the way. We are building such an AI assistant to become the digital manifestation of the helpful salesperson that asks customers what they need, helps them navigate the store, waits unobtrusively while they look over the shelves, and helps them find complementary goods. What does economics have to teach this salesperson? Can we embed lessons from the behavioral literature to help customers? This is an opportunity to embed economic expertise into large scale generative models. This is just the beginning, and the future is yours to shape.We're searching for pioneers who are passionate about using technology and innovation to fundamentally change how customers shop, and who are ready to make a lasting impact on the industry and even disrupting how Amazon serves customers. You'll be a senior technical leader working with talented scientists, economists, engineers, and product leaders to innovate on behalf of our customers and help turn generative AI shopping into Amazon’s next business pillar. Key job responsibilitiesAs the Principal Economist in the Shopping Economics team, you are a senior member of the technical leadership team, working with executives, principal engineers and scietists, and senior product leaders. Your economic thought leadership helps us to build new-to-world customer experiences that solve important problems for customers while creating new business models, ensuring Amazon is optimizing its innovation portfolio to maximally help customers solve their shopping problems. Solving problems like improving the match quality between customers’ heterogeneous needs and Amazon’s nearly infinite selection, articulating the economics of advertising in a conversation, using insights from economics to better align the LLM, and using deep learning techniques to measure substitution patterns and the economic value of engagement. You work with economists, scientists, and engineers Amazon-wide to rethink systems across the company to better optimize for helping customers through their entire shopping journey. You also develop and evangelize new mental models and new ways to measure the economic value of bleeding edge generative AI. As the senior economist in the team, you also guide the work and careers of other economists on the team.BASIC QUALIFICATIONS* PhD in Economics or related field* 7+ years experience applying economics in industry ...

Amazon seeks a Business Intelligence Engineer with strong technical, analytical, and business intelligence skill sets and experience to be a key partner for Amazon’s Advertising business focusing on amazon.com across all ad programs. This role will be the key contributor supporting the APM (Advertising Publisher Monetization) Stores business. The person will build out the business insights, analysis practice, and data infrastructure for APM Stores stakeholders, gaining visibility across Ads, Retail, and Finance organizations. We generate insights to guide product and partner strategy, and we provide direct business strategy support to senior leaders. We are motivated to improve overall Stores experience for both our advertisers and shoppers through Ads. As a key analytics partner, the Business Intelligence Engineer will influence the direction of the business by leveraging our data to deliver insights that drive decisions and actions. This role involves translating broad business problems into specific analytics projects, conducting deep quantitative analyses, and communicating results effectively. We see a high potential for growth in this role as we transform our data into actionable insights to continue to fuel the growth of this business. The role will help the organization identify, evaluate, and evangelize new techniques and tools to continue to improve our ability to deliver value to Amazon’s Customers. This role requires an individual with excellent business, communication, and technical skills, enabling collaboration with various functions, including Product Managers, Data Engineers, Finance Managers, Software Engineers, Data Scientists, as well as senior leadership. The successful candidate will be a self-starter comfortable with ambiguity and complex datasets and business problems. The person has strong ownership and an ability to work in a fast-paced, ever-changing, and high-energy environment.Key job responsibilities- Explore and deep dive into new areas across various ad programs as well as business functions to support business decision making- Design, develop, build, and maintain scalable data solutions, including infrastructure, pipeline, reporting, to support long-term business strategies- Simplify and re-invent current data solutions to support the business scope expansion- Translate business problems into data questions, find solutions to solve those questions with resourcefulness- Present analytical findings and recommendations to business leadership- Work cross-functionally with other teams in various job families to gather data sources to provide a comprehensive view of the business, inclusive of supply, demand, sales, operations, shopper, etc. - Recognize and adopt best practices in reporting/analysis: data integrity, test design, analysis, validation, and documentationThis role promises to give exposure to a high growth business. This BIE will be actively involved in building new metrics, understanding impact of product changes, and identifying opportunities for growth through exploratory analyses including use of lightweight statistical techniques. This role provides the opportunity to explore emerging technologies such as machine learning to build models and tools used by management for strategic decision making.About the teamThe APM Advertising Finance team supports various publishers, including Stores, Amazon Business, Books, Grocery/Physical Store, Devices, Video, Audio. Our focus is to accelerate top-line revenue and improve profitability by evaluating overall ad supply monetization and utilization, product feature or sales package adoption, campaign performance, and other various product drivers of growth. 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 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- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience with data visualization using Tableau, Quicksight, or similar tools- Knowledge of SQL and data warehousing concepts ...

At Amazon, we use data analytics to understand and serve our customers better. Our goal is to anticipate and solve customer issues before they arise, using device and digital service data to identify pain points and improve our products daily.The Device, Digital & Alexa Support (D2AS) team focuses on Amazon's rapidly growing product lines. Since 2007, we've expanded from the Kindle e-reader to a range of devices including:- Fire tablets.- Fire TV and Fire TV Stick for streaming media.- Amazon Echo and Alexa-enabled devices for voice-controlled smart homes.These products offer customers access to millions of books, movies, TV shows, apps, and skills, with new features constantly being added.The Device, Digital and Alexa Support (D2AS) function is looking for a motivated individual with proven analytical skills and practical experience to join the Product Analytics team as a Business Intelligence Engineer. We are looking for an expert who can build and analyze data systems, spot important business pattern, create metrics that measure success and develop ways to validate our findings.This role combines technical skills with business insight. You'll use your experience in Business Intelligence (BI) to help us make smart, data-driven decisions. Your work will directly impact our ability to serve customers better and grow our business.Key job responsibilities- Engage closely with Engineers, Scientists, and Data Engineers on developing BI/analytics solutions to support customer facing CS products.- Support A/B experiment feature testing and analysis.- Build and analyze key metrics to uncover trends and root causes of issues.- Own the design, development, and maintenance of ongoing data pipelines, metrics, reports, visualizations, analyses, dashboards, etc. to drive business decisions.- Help define requirements around customer service interactions and establish actionable actionable insights.A day in the lifeWe thrive on solving challenging problems to innovate for our customers. By pushing the boundaries of technology, we create unparalleled experiences that enable us to rapidly adapt in a dynamic environment. Our decisions are guided by data, and we collaborate with engineering, science, and product teams to foster an innovative learning environment.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!Benefits summary: Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) PlanAbout the teamThe D2AS Product Analytics team is responsible for supporting a broad suite of customer and associate facing technical products. ChatBot, Forums, Screen Sharing, Dynamic Troubleshooting, Help App and Diagnostic Data Tools are built and maintained to help our customers get the help they need as efficiently as possible. The Product Analytics team contributes to this success by providing data, analysis and dashboard solutions to inform strategic product development and tactical feature rollouts. The team work closely with partners in Data Science and Data Engineering teams to feed new insights and features to our predictive ML solutions. 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 ...

Amazon’s Global Supply Chain (GSC) is looking for a Business Intelligence Engineer for the Supply Chain Innovation (SCI) team. SCI plays an important role in defining and shaping Amazon’s inbound supply chain's long-term strategy. We are responsible for the incubation and execution of highly visible supply chain projects across low-cost storage, bulk fulfillment, inbound cross-docks, fast-deploy fulfillment, and network optimization. Our solutions address the needs of the inbound network in order to meet the speed, cost, and resiliency demands of our customers.In this role, you will be leveraging various analytic and visualization techniques to support data-driven storytelling, and look around corners to continuously raise the bar on our business insights capabilities. You will collaborate across supply chain and research science teams to meet the current and future needs of the business through data gathering, automation, standardization, and reporting.The ideal candidate is an individual with excellent analytical abilities and a creative mind to invent solutions in technical architecture, business process, and financial outcomes. The successful candidate will be a self-starter comfortable with ambiguity, who has a strong attention to detail, and enjoys working with large-scale data.Key job responsibilities- Deep dive into operations execution and business problems, use analytical and statistical rigor to identify trends and opportunities, and present written and verbal analyses to drive improvements - Improve business results through creating best-in-class metrics, analysis, visualizations, and data-driven storytelling - Adopt best practices in reporting and analysis: data needs, data integrity, test design, analysis, validation, and documentation - Develop an understanding of the broad range of Amazon’s data resources, which to use, how, and whenBASIC 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 ...

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.As a Business Intelligence / Data Engineer you will enable data-driven decision making within the Amazon Web Services Data Center Infrastructure Operations organization.The Infrastructure Operations Team is responsible for planning, implementing, monitoring and continuously improving the global Amazon Data Center infrastructure. The team supports all aspects of the Data Center based organizations, including but not limited to : Safety, Security, maintenance, daily operations, logistics, engineering and equipment management. You will be developing, implementing and maintaining the information data warehouse, and utilizing insight platforms, to enable decision support systems for the overall organization. You should have excellent business and communication skills, and be able to work with business owners to understand their data and reporting requirements. Above all, you should be passionate about working with huge data sets and be someone who is able to bring data sets together to answer business questions and drive growth. You will build ETLs to ingest the data into the data warehouse and data lake, as well as end-user facing reporting applications. You will primarily support teams within the Infrastructure environment, but will also have opportunities to support teams in the overall Amazon Web Services community.You will work with business customers and development teams to define analytics requirements and then deliver flexible, scalable, end-to-end solutions. You will have an opportunity to work with big data and emerging technologies while driving business intelligence solutions end-to-end: business requirements, data modeling, ETL, metadata, reporting, and dashboarding. You should have expertise in the design, creation, management, and business use of large datasets.Key job responsibilities- Passion for storytelling through the visualization of data. We are looking for someone who obsesses about the user experience and who excels in driving business outcomes through the dashboards they develop. - Experience with Tableau or similar visualization/dashboarding platforms like PowerBI, QlikView, Google Charts, Amazon QuickSight, etc.- Moderate to Advanced SQL skills. Skill with aggregate functions, joins between three or more data sources, window functions, and query optimization.- Experience in building presentation layers for reporting dashboards in SQL. - Ability to design and build tables for staging and presentation, outside of the visualization software, in AWS Redshift or other similar Data Warehouse (DW) platform. - Knowledge and understanding of data modeling and data design, e.g. fact and dimension tables, snowflake and star schema, etc.- Experience in building automation to extract data from a Data Lake/Data Warehouse into visualizations. - Optimizing large volumes of data through organization of building views and tables with business metrics and KPIs, and creating scheduled, recurring jobs to load data into the visualization environment.- Excellent communication skills, verbal and written.- Experience leading projects, interacting with customers and stakeholders to deliver successful dashboard products.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 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- 4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Knowledge of SQL and data warehousing concepts- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with Airflow DAGs for ETL ...

AWS is looking for a Sr. BIE to join the AWS Analytics Engineering (AAE) team. This is your opportunity to be part of a team that has direct impact on foundational cloud services such as Amazon Elastic Compute Cloud (EC2), Amazon’s Simple Storage Service (S3), Amazon Q Developer, Serverless, Databases, Networking and many more !As a Sr. BIE on this team, you will be responsible for owning end-to-end analytical roadmap for your supported AWS services. You will generate insights that directly drive business growth and influence feature and product enhancements. You will get to work with datasets in one of the world's largest data warehousing environments, giving you opportunity to develop and support your hypotheses with data-driven insights and influence product leadership. You will work closely with business leaders, finance, and technical teams to analyze many non-standard and unique business problems, creatively problem-solving to deliver actionable output. You will be part of an enhanced business intelligence team that goes beyond standard number reporting and drills into the drivers of key business metrics. As you build your service's analytical capabilities, you will be redefining best practices with a cloud-based approach to scalability and automation.Key job responsibilities- Develop a deep understanding of the business drivers and data landscape for your assigned AWS services.- Deliver in-depth data-driven analysis papers with actionable insights to business leaders.- Design and implement a comprehensive reporting & analytical roadmap to derive key business metrics.- Collaborate with cross-functional teams to identify new dataset to enhance existing analytical capability.- Strong verbal and written communications to share findings with business leaders, finance, and technical teams to influence decision-making and product enhancements.- Mentor junior members to help establish new analytical standards and best practices for the team.A day in the lifeWork/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.About the teamMentorship & 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. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.Utility Computing (UC)AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services.Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.About AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- 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 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’s Account Integrity team within the Customer Trust and Partner Support organization is looking for a passionate, results-oriented Business Analyst to leverage data to deliver projects with huge strategic impact. This team designs and builds high performance software systems using machine learning that identify and prevent fraudulent activity and maintain high trust levels with our customers. Fraud prevention is a real-money game where our software and analytics teams strive to outsmart those who attempt to defraud Amazon and our customers.As a Business Analyst in the Account Integrity group, you will be responsible for analyzing and reporting large data sets in partnership with product managers, scientists, and engineers to ensure the team is prioritizing the right goals and opportunities to stop bad actors and protect customers.Responsibilities:- Create, maintain, and improve data sets, pipelines and reporting to track and manage important KPIs and goals in the Account Integrity space- Apply your expertise in quantitative analysis, data visualization and data-mining to design alarming system, derive actionable insights and guide product strategy for stakeholders and leadership- Develop internal reporting/visualization tools for self-serve- Provide analytical support for new feature launches- Effectively communicate complex analytical concepts to non-technical stakeholders to drive decision makingKey job responsibilities- Deep diving business trends, analyzing anomalies and guiding business decision-making through data- Building dashboard/scalable metric tracking mechanisms- Working closely with Business and Operations teams to find ways to mitigate bad actor attacks- Ensuring that the team works backwards from the customer problem using dataAbout the teamThe Account Integrity’s mission is to prevent bad actors from using the Amazon brand or Amazon accounts to harm customers, sellers, and the Amazon business.BASIC QUALIFICATIONS- 3+ years of business analyst, data analyst or similar role experience- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- 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- Experience with data visualization using Tableau, Quicksight, or similar tools ...

This role can be based in NYC, Seattle or Los Angeles. Do you want to help inform the future of Prime Video Channels? We seek a Business Intelligence Engineer to focus on building world class processes around designing, collecting, organizing, and presenting data for our subscription business.As a BI Engineer working on the PV Commerce Analytics team, you will be working closely with Product Managers, Marketing Managers, Content Acquisitions Managers, Finance Managers and other internal stakeholders to drive analytics that are timely, accurate, and actionable. A successful candidate knows and loves working with BI tools, is comfortable accessing and working with data from multiple sources, and can partner with internal stakeholders to help drive the business.Key job responsibilitieso Collect, analyze and present actionable data for Prime Video Channels Businesso Understand high-level business objectives and continually align work with those objectives to meet needs of the businesso Analyze and solve problems at their root, stepping back to understand the broader contexto Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentationo Write high quality code to retrieve and analyze datao Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use, and which not to useBASIC 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 ...

Prime Video offers customers a vast collection of movies, series, and sports—all available to watch on hundreds of compatible devices. U.S. Prime members can also subscribe to 100+ channels including Max, discovery+, Paramount+ with SHOWTIME, BET+, MGM+, ViX+, PBS KIDS, NBA League Pass, MLB.TV, and STARZ with no extra apps to download, and no cable required. Prime Video is just one of the savings, convenience, and entertainment benefits included in a Prime membership. More than 200 million Prime members in 25 countries around the world enjoy access to Amazon’s enormous selection, exceptional value, and fast delivery.Want to be part of a team that is helping redefine the future of video advertising? Prime Video is looking for a world-class Business Intelligence Engineer to help execute against our team’s strategic advertising initiatives and change how advertisers engage with consumers via streaming media around the world.Video Advertising is rapidly evolving as customers shift their viewing experiences from traditional linear TV to streaming via connected devices. Prime Video is a rising player in this space. We have differentiated assets in terms of consumer experiences and audience insights against a breadth of exclusive content which positions us well for the long-term. As a Sr Business Intelligence Engineer on the Ads CX team, you will drive decision-making by transforming advertising data into insights. In this role, you will collaborate with Product Managers, Engineers, and Program Managers to provide analytical support, using statistical techniques and data visualization tools to uncover patterns and metrics. You'll be responsible for developing data models, creating dashboards, and delivering recommendations that help optimize advertising strategies and user experiences across streaming platforms.Key job responsibilities· Own, design, develop, document, and manage scalable solutions for new and ongoing metrics, reports, analyses, visualizations, and dashboards to support business needs· Design and drive experiments to form actionable recommendations. Present to business leaders in both ad-hoc forums and routine business reviews (MBR/QBR) to drive decisions· Be able to swiftly prioritize and multi task based on severity level and strong business judgement.· Partner with Product Managers, Engineers, and Program Managers to design reports and analyses which answer important business questions.· Identify new opportunities to improve our Fashion Ads CX on Prime Video based on data insights About the teamAs a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you!BASIC QUALIFICATIONS- Experience programming to extract, transform and clean large (multi-TB) data sets- 5+ years of SQL experience- 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 Health Services (AHS) is on a mission to make it dramatically easier for customers to find, choose, afford and engage with the services, products, and professionals they need to get and stay healthy. We use design, service and technology to provide the best possible customer experience and change the way people think about healthcare. Our team owns Marketing for all of Amazon Health Services (AHS) along with all of the data that powers our optimization and valuation services. We are excited to help customers engage in a new Health Care paradigm and make truly lasting impact.Our team is responsible for Marketing across Amazon Pharmacy, Amazon Clinic, OneMedical, and HCP. We are hiring BIE that will help develop the foundations of the Amazon Health Services Marketing analytics including customer valuation, attribution, and tools to help optimize our channels. The BIE will be responsible for creating tools and analytic insights to both better understand our customer’s behavior across AHS and improve our decision making tools in Product and Marketing. The AHS business is growing rapidly, and our customers needs are ever-evolving. You will be at the center of all that we do for our customers within AHS and have an impact on our customers' experience. You will be able to point to experiences within AHS that you directly contributed to make happen.We need an expert at deep data diving statistical analysis of designed experiments, and structured problem solving to understand and evaluate the opportunities to grow the business. Her/his analysis and solutions will guide our program optimization,financial planning, and execution strategy. This position has high levels of exposure to senior members of AHS.The successful candidate will be an expert with analytical design, SQL, ETL, dashboarding and data storage extraction tools and optimization. The candidate will need to effectively communicate the designs, hypotheses, analytical and test results, insights, and suggested action items.#everydaybetterKey job responsibilities• Work with the various stakeholders across the AHS organization to understand business drivers, goals and actionable outcomes of large scale customer experiences. • Construct and execute robust analyses that lead to actionable insights for Product and Marketing leaders to act upon. Work independently to identify objectives and problem solve alternative ways to efficiently execute.• Design, execute, and manage the profiles to execute the analyses with the latest data management and statistical tools and languages (e.g. SQL, ETL, Quicksight, AWS Redshift, Redshift Spectrum, S3, Python, R)• Design, implement, and support tools that can provide structured access to large datasets across the entire AHS organization and beyond. • Employ data mining, segmentation, and other analytical techniques to capture important trends in the customer base. • Model data and metadata to provide product and marketing insights • Effectively communicate the inisights and suggested action items to senior leadership • Participate in strategic and tactical planning discussions interface with business customers, gathering requirements and delivering complete reporting solutions • Develop interactive dashboards, reports, and analysis templates using AWS and open source tools.About the teamAHS Performance Marketing owns driving new customers to all Amazon Health businesses including OneMedical, Amazon Clinic, and Amazon Pharmacy. We look to automate optimization for each channel and are constantly looking for scale. We are heavily data driven and Customer Obsessed and are excited to partner with Data Engineering and Marketing leaders to unlock customer behavioral signals to best serve our customers. We are a team that does not take ourselves too seriously, other than the work to help customers. We hold a high bar for our experiences and strategies. Please reach out if you'd like to learn more. 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 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 ...

Are you passionate about leveraging data to deliver actionable insight that impacts daily business decisions for Amazon? Does the prospect of dealing with massive volume of data excite you?Amazon Fulfillment Technologies (AFT) powers the physical engine at the heart of Amazon Retail. AFT builds and operates software, hardware, and processes that run the global network of fulfillment centers that move many millions of units of inventory, employ hundreds of thousands of employees, 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.Amazon has a culture of data-driven decision-making, and demands business intelligence that is timely, accurate, and actionable. Our ideal candidate thrives in a fast-paced environment, relishes working with large transactional volumes and big data, enjoys the challenge of highly complex business contexts (that are typically being defined in real-time), and, above all else, is a passionate about data and analytics.As a Business Intelligence Engineer you will be conducting large scale data analysis and providing business insights based upon data to further improve our operations and processes. Identifying non-existent data fields to improve existing KPIs would be a key responsibility for this role. Understandings around internal fulfillment center operations will be a plus.A successful candidate knows and loves working with business intelligence tools, is comfortable accessing and working with big data from multiple sources, and passionately partners with the business to identify strategic opportunities and deliver results. You should have an internal drive to answer “why?” questions, excellent analytical abilities, strong technical skills, as well as superior written and verbal communication skills. S/he would be a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail), and enjoy working in a fast-paced dynamic environment.Key job responsibilitiesYou will also have the opportunity to display your skills in the following areas:- Analyze and solve problems at their root, stepping back to understand the broader context.- Use data mining, model building, and other analytical techniques to develop and maintain customer segmentation and predictive models to drive the business. - Respond to high priority requests from senior business leaders.- Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use.- Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and Redshift.- Interface with business customers to gather requirements.- Model data and metadata to support ad-hoc and pre-built reporting.- 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 Unix profiling tools and SQL.- Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for secondary datasets- Help answer challenging business questions for implementation through technology ultimately delivered to business and operations partners.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 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.Workforce OptimizationAFT’s Workforce Optimization team delivers innovative platforms and products to automate labor management and staffing decisions across processes and functions at Amazon’s global fulfillment network locations.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 ...

Amazon.com’s Buyer Risk Prevention (BRP) mission is to make Amazon the safest and most trusted place worldwide to transact online. Amazon runs one of the most dynamic e-commerce marketplaces in the world, with nearly 2 million sellers worldwide selling hundreds of millions of items in ten countries. BRP safeguards every financial transaction across all Amazon sites. As such, BRP designs and builds the software systems, risk models and operational processes that minimize risk and maximize trust in Amazon.com. BRP organization is looking for a Business Analyst for its In Region support team. The team is being grown to provide insights and support for BRP in our emerging marketplaces and provide analytical solutions to help drive operational efficiencies, uncover the hidden risks and trends, reduce investigation errors and bad debt, improve customer experience and predict & recommend the optimizations for future state of BRP buyer abuse in each country. Key job responsibilitiesAs a Business Analyst, you will be responsible for modeling complex problems, discovering insights and identifying opportunities through the use of business intelligence, data mining and visualization techniques. You will need to collaborate effectively with internal stakeholders and cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. The candidate should be able to apply a breadth of tools, data sources and analytical techniques to answer a wide range of high-impact business questions and present the insights in concise and effective manner. Additionally, the candidate should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high impact role with goals that directly impacts the bottom line of the business. Responsibilities: - Use analytics and data mining techniques to solve complex problems and drive business decisions. - Employ the appropriate tools, methodologies to discover patterns of risks, abuse and help reduce bad debt - Design experiments, test hypotheses, and build actionable models to optimize BRP in a specific country - Solve analytical problems, and effectively communicate methodologies and results - Build analyses for product launches - Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies - Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus areaBASIC QUALIFICATIONS- 1+ years of tax, finance or a related analytical field experience- Experience defining requirements and using data and metrics to draw business insights- Knowledge of SQL- Knowledge of Python, VBA, Macros, Selenium scripts- Knowledge of data visualization tools such as Quick Sight, Tableau, Power BI or other BI packages ...