Business Intelligence

The Undiscovered and Small Business Accelerator (USBA) team's vision is to use our fuel to cultivate trust, eliminate systemic barrier and empower high priority small and undiscovered businesses through targeted investments that enhance selling partner discoverability, readiness to scale, and access to sustainable pathways to equity that build generational wealth.We are seeking an experienced Senior Business Analyst to help us build the data capabilities and insights that will further our ability to deliver on our commitments to our sellers. The ideal candidate is a thought leader, who thrives in an ambiguous environment and loves bringing insights to undefined problems. They have expertise defining stakeholder data requirements and delivering complex analytical and reporting solutions across multiple cross-functional teams.*this role may be located in Arlington, VA, Seattle, WA based on candidate preference*Key job responsibilitiesBusiness Analysts (BAs) are analytics professionals who work directly with our business leaders (Product, Program, and Account Managers, Marketing, Finance, and Tech partners) to translate the voice of the seller and the data our team owns into actionable insights. BAs work directly with the business and our Business Intelligence Engineers, Data Engineers, and Data Scientists to apply the best data to each analysis they own. You will be the closest to the business and will be expected to collaborate with business leaders to not only provide data-based analyses, but also consult on what other data resources our team has to offer. You will dive deep on projects and work with engineers on our BI team on the right mechanisms to continuously inspect and influence the direction that our organization will take. A strong sense of working backwards and product ownership, alongside inclinations to collaborate with your team will ensure that the products we build and the analyses you conduct continuously improve the level of service we can provide to USBA organization.BASIC QUALIFICATIONS- 5+ years of tax, finance or a related analytical field experience- 3+ years of writing SQL queries and creating business intelligence reports using Tableau, Power BI experience- Bachelor's degree- Experience defining requirements and using data and metrics to draw business insights- Experience with SQL- Experience making business recommendations and influencing stakeholders- Bachelor's degree in finance, data analytics, mathematics, statistics, engineering, or related technical or quantitative field ...

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 is looking for a highly analytical Business Intelligence Engineer to join the AWS Data Center Engineering Team. The Data Center Engineering team owns the availability of AWS data centers, and has a direct impact on the customer experience. We obsess over customers by developing the most advanced engineering solutions that result in world class uptime, while continuously reducing costs for our customers. Amazon offers a fast paced, fun, and exciting work environment. We continue to grow at exponential rates and are looking for individuals that can support our speed to market, enjoy a challenge, and have a desire for professional growth and continuous learning experiences. As a Business Intelligence Engineer, you will partner with Data Engineers and partner teams to harness the vast amount of operational data from the AWS fleet, and will use these data to generate insights that will guide engineering excellence and improvements on behalf AWS customers. In addition, you will build mechanisms that enable Engineering divisions to make informed, data driven, business decisions. Data analysis is at the core Amazon’s culture, and your work will have a direct impact on decision making and strategy for our organization. The ideal candidates will have excellent analytical abilities, business acumen and judgment, curiosity, strong technical skills, and superior written and verbal communication skills. They will have a strong bias toward data driven decision making. They will be a self-starter; comfortable with ambiguity; able to think big and be creative, while exercising strong judgment and good instincts to be right a lot. The ideal candidate is motivated by delivering high-quality and innovative solutions within timeframes that most think are impossible. If you are excited about using data to look around corners and drive engineering solutions that are the foundation of AWS data centers, this role is for you! Key job responsibilities - Collaborate with engineering stakeholders, partner technical teams, and business stakeholders, to gather business and functional requirements, and translate these requirements into robust, scalable, and operable solutions that work well within the overall AWS data architecture, and lead to improved engineering decisions.- Develop a deep understanding and awareness of operational data from the AWS fleet, and look around corners to recommend analytical solutions for improving engineering decision making and results. - In partnership with team Data Engineers, design, develop and maintain user-friendly mechanisms, reports, dashboards, etc., which are automated, continuously scale to meet the pace of AWS growth, and mechanistically drive downstream business outcomes. - Apply deep analytic and business intelligence skills to extract meaningful insights and learnings from large and complicated data sets.- Build various data visualizations to tell the story of operational trends, patterns, and outliers through rich visualizations. Mechanize such output to drive downstream business outcomes. - Insist on the highest standards by recognizing and adopting best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.About the team*Why AWS*Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.*Diverse Experiences*Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.*Work/Life Balance*We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.*Inclusive Team Culture*Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.*Mentorship and Career Growth*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- Experience with data visualization using Tableau, Quicksight, or similar tools- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- 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 ...

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 ...

Do you share a passion to make customers successful? Do you believe that a deep understanding of customer and business priorities can transform an organization? Are you excited to discover and solve thorny business challenges through data analytics and business intelligence (BI) solutions? Do you thrive in a dynamic environment working with diverse teams cutting across functions, organizations, and cultures to achieve a common goal?The Private Pricing Analytics and Insights team is a critical part of enabling the AWS Private Pricing business to achieve the highest standards of excellence for WW Commercial Operations. This role, based in North America, will focus on Business Analytics and Business Intelligence related to Private Pricing Deals, requiring broad technical skills, strong business acumen and a deep analytical background to provide performance reporting, actionable insights and decision support. As a member of this team, you will harness your skills to understand business requirements, create performance metrics, conduct data analysis, provide insights, recommend actions, build analytical models for hypothesis testing, create forecasting models, build self-service dashboards and visualization, drive automation and process improvements, to help the Private Pricing leaders and teams to achieve their goals.The individual must have the ability to communicate effectively across multiple technical and non-technical business units, as well as across other geographies. Successful members of this team collaborate effectively to solve data problems, implement new reporting solutions, and deliver successfully against high operational standards. The ideal candidate will be a highly motivated individual that seeks to “tell the story” of the data with little direction or supervision.Key job responsibilities• Lead sales executive discussions to share insights, challenge status quo, and provide forward looking recommendations to enable strategic decision making and growth of Private Pricing.• Support the development of continuously-evolving business analytics and data models, own the quantitative analysis of the performance of our sales team, customers, deal team, partners, markets, and products/services.• Develop a deep understanding of sales metrics, reporting tools, and data structures in order to identify and drive resolution of issues, provide actionable intelligence with existing metrics or identify, develop, and propose new metrics, dashboards, scorecards or new tools.• Develop relationships and processes with sales, finance, sales operations, and other functional teams to identify and address reporting issues.• Manage and develop analytical tools or reports that through the automation existing inspection mechanisms such as business reviews, annual planning, and forecasting processes.• Create operational templates and processes to compile and standardize disparate information that drive standardized reporting and metrics tracking.• Generate ad-hoc analysis and reports with actionable recommendations based on the needs of the stakeholders, through ad-hoc data retrieval and analysis from data management systems, • Create new mechanisms and business processes that simplifies, standardizes and enables operational excellence.About the teamThe Private Pricing Analytics and Insights team is a critical part of enabling the AWS Private Pricing business to achieve the highest standards of excellence for WW Commercial Operations. The Private Pricing team is instrumental in driving deal strategy, structuring, negotiations, and execution of private deals. Private Pricing deals consist of large, strategic, or highly competitive commercial deals. Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- 3+ years experience of analyzing and interpreting data with Redshift, Oracle, NoSQL etc.- 3+ years 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 ...

Alexa Americas organization is seeking an experienced and highly analytical Sr. Business Intelligence Engineer (BIE) who can build end-to-end data pipelines, automate reporting and equip our business stakeholders with data driven actionable insights. A successful candidate will be an expert in SQL, ETL, data manipulation and be able to partner effectively across a diverse set of stakeholders including product managers, BIEs, data engineers and Alexa country leaders. The Sr. BIE will build the foundational data pipelines and data tables, analyze large data sets, prove and disprove hypothesis, automate solutions and build self-service dashboards and reports. This person consistently employs high judgment and makes data-driven decisions, leading by example and influencing the team to do the same.Key job responsibilities- Interface directly with stakeholders, gathering requirements and owning automated end-to-end reporting solutions.- Develop complex queries for ad hoc requests and projects, as well as ongoing reporting.- Design, develop and maintain scalable, automated, user-friendly systems, reports, dashboards, etc. that will support our analytical and business needs- Design, implement, and support key datasets that provide structured and timely access to actionable business information addressing stakeholder needs.- Proficiency with SQL queries to retrieve and analyze data. Learn and understand a broad range of Amazon’s data resources and know how, when, and which to use.- Perform end-to-end deep dive analyses to discover actionable insights for our business stakeholders.- Simplify and automate reporting, audits, and other data-driven activities; build solutions to have maximum scale and self-service ability by stakeholders- Apply engineering excellence to reporting and analysis pipelines, automate and simplify self-service support for customers.- Interface with other technology teams to extract, transform, and load data from a wide variety of data sources.About the teamAlexa Americas BI team owns and supports all data, analytical and reporting requests from CA, MX, BR, Spanish US and Rest of World Alexa Country teams. Americas BI works closely with business stakeholders across Alexa Americas org, Alexa central BI/DE teams, Alexa Domain BI teams, Device BI teams and other Alexa International regional BI teams.BASIC QUALIFICATIONS- 10+ years of professional or military experience- 5+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience with theory and practice of design of experiments and statistical analysis of results- Experience with AWS technologies- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with theory and practice of information retrieval, data science, machine learning and data mining ...

The 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 ...

Come be a part of a rapidly expanding $35 billion dollar global business. At Amazon Business, a fast-growing startup passionate about building solutions, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech & retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations thrive. At Amazon Business, we strive to be the most recognized and preferred strategic partner for smart business buying. Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes and industries. Unlock your career potential.Amazon Business represents an incredible opportunity to address a vast new market segment and customer base and is an area of high interest for Amazon. We are focused on building solutions that enable our business customers to find, research, and buy products and services from a vast selection, across multiple devices, marketplaces and regions. These business customers include individual professionals, small businesses to large institutions (and everything in between). The needs of these business customers are different from those of the traditional Amazon customer, so we are reinventing everything from how we display our selection, price our products, provide the right customer experience and offer unparalleled customer support.Key job responsibilitiesAs a Business Intelligence Engineer you will help setup and deliver robust, structured reporting, analytics and models for the Buying Experience teams within Amazon Business. You will be a key contributor to shaping our strategic innovation program by equipping the product teams with the insights into the operation performance. You will evaluate and make decisions around the use of new or existing technologies and tools. We work in an entrepreneurial environment and deliver value incrementally and frequently. We are still in the early stages , so you get the opportunity to be part of ideation stage and deciding the strategy for our growth. If you are a candidate with a strong sense of ownership, passion and drive to delight customers, come join us!BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field ...

It’s no secret that Amazon relies on its technology to deliver millions of packages every day to its customers – on time, with low cost. The Middle Mile Supply and Routing Optimization team builds complex software solutions that work across our vendors, warehouses and carriers to optimize both time & cost of getting the packages delivered. Our services already handle thousands of requests per second, make business decisions impacting billions of dollars a year, integrate with a network of small and large carriers, owner operators and drivers worldwide, manage business rules for millions of unique products, and improve ordering and delivery experience for millions of online shoppers. That said, this remains a fast growing business and our technical journey has only started. Our mission is to build the most efficient and optimal transportation solution on the planet, using our technology and engineering muscle as our biggest advantage. We aim to leverage cutting edge technologies in big data, machine learning, and optimization techniques, and operate high volume, low latency, and high availability services. As a member of this collaborative team, you will have an opportunity to make an impact in Amazon Logistics and work with a group of talented program managers, product managers, research scientists, software developers, and business stakeholders to design the Amazon network of the future.As a Sr. Business Analyst, you will operate at the crossroads of multiple complex Amazon systems, getting global visibility of how Amazon moves inventory across out network and serves our customers. Specifically, this role will be responsible for owning our most critical efficiency metrics including: Loaded Drive Time (how well we utilize our capacity), Cost per Block Hour (how well we secured the right mix of capacity based on the expected efficiency), and Cost per Loaded Hour (the combination of Loaded Drive Time and Cost per Block Hour). As a business owner you will be expected to produce weekly metrics and callouts, perform deep dives as new products launch that could impact these metrics, contribute to monthly business reviews with VPs, and build models to forecast these metrics for annual/quarterly planning cycles. These metrics are directly used to drive our financial plan, almost all product features in our space are designed to improve these metrics, and they have VP level visibility. The successful candidate will be voraciously curious about Amazon’s transportation operations and how data consumed and produced by our systems can be used to improve outcomes and lower costs. Your responsibility is to expose and measure the current performance of our systems, find and quantify opportunities for improvement, and dive deep into existing algorithms to explain unexpected performance. We are looking for innovators to be a sophisticated user of data querying tools, and an expert at synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication.Responsibilities: - Perform complex analysis and data resarch to identify opportunities to reduce transportation costs through efficiency improvements, eliminate defect, improve customer experience, and support critical business decisions. - Design, develop, and establish KPIs and run complex network simulations to provide strategic insights to drive growth and performance. - Systematically identify data source/forecast error and follow through on the resolutions to ensure that future plans are updated with improved business processes. - Requires ability to perform/own reoccurring and ad-hoc business intelligence projects. - Develop standardized metrics to evaluate and benchmark pertaining to short and long term network planning and forecasting. - Pull and report data from numerous databases (using Excel, SQL and/or other data management systems) and proven capability to dive deep and utilize known research and problem solving techniques. - Communicate complex insights to stakeholders, both verbally and in writing.BASIC QUALIFICATIONS- 5+ years of tax, finance or a related analytical field experience- 3+ years of writing SQL queries and creating business intelligence reports using Tableau, Power BI experience- Bachelor's degree- Experience defining requirements and using data and metrics to draw business insights- Experience with Excel- Experience with SQL- Experience making business recommendations and influencing stakeholders ...

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

Conversational search shopping team is looking for an innovative, hands-on and customer-obsessed Business intel engineer. Candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, excellent technical skills and should be able to juggle multiple tasks at once.Key job responsibilitiesIdeal candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience and get the right things done.This job requires you to constantly hit the ground running and have the ability to learn quickly. Primary responsibilities include defining the problem and building analytical frameworks to help the operations to streamline the process, identifying gaps in the existing process by analyzing data and liaising with relevant team(s) to plug it and analyzing data and metrics and sharing update with the internal teams.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.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- 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 ...

We are open to hiring candidates to work out of one of the following locations:Herndon, VA, USAAmazon is seeking a highly motivated Intelligence Analyst to join our world-class Amazon Security organization and work within the Response function of the Enterprise Protection Program to help Amazon prevent and mitigate insider risk.As part of the Response team, you will be involved with evaluating, investigating, and mitigating active insider risks daily. We are looking for someone who is a fan of "diving deep"; constantly learning; eager to drive the development and refinement of proactive initiatives to identify, evaluate, and mitigate risks to Amazon; adept at managing complex investigations; seeks to maintain an understanding of the security needs of our customers and business, and is willing to take on new challenges.You will consult with business, legal, and tech teams to develop gap remediation strategies and be proactive in the build-out of sustainable and systematic solutions. You will also be effective both working independently and cooperatively across partner teams when required, and able to contribute and deliver results whether involved at the level of strategic planning or tactical execution.This position involves on-call responsibilities, typically for one week every few months.Key job responsibilities• Manage complex and confidential investigations, providing timely and fact-based reporting to partners and leadership• Effectively partner with teams across Information Security, Legal, Human Resources, and others necessary in support of investigations• Establish, document, and refine standard operating procedures and internal best practices for investigative functions• Collaborate with Engineering teams to build and develop solutions and tools that identify and mitigate risk by translating use cases into technical requirements• Perform deep dive analysis of internal and external datasets to identify trends, anomalies, and activities indicative of threat• Collaborate with partner teams in the threat intelligence community, internal and external to Amazon• Identify and produce metrics to measure effectiveness of analytic capabilities and data to drive business decisionsAbout 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• 5+ years of demonstrated experience as an analyst/investigator supporting counterintelligence, counterterrorism, insider threat, internal investigations, and/or law enforcement investigations • 2+ years’ experience in conducting open-source analysis • Bachelor’s Degree in related field or 4 years of equivalent work experience ...

re:Cycle Reverse Logistics is an electronics processing, reuse, and recycling company that works to extend the life of used electronic equipment through reuse, repair, and recycling. We are a stand-alone company within the Amazon corporate family that provides services to other Amazon companies. We specialize in the handling of valuable electronic equipment that was originally used in data centers. Come join our team and be a part of history as we deliver results for the largest cloud services company on Earth! re:Cycle Reverse Logistics is looking for a talented, driven, and analytically focused Business Analyst in support of our Reverse Logistics (RL) program. As a Reverse Logistics Business Analyst you will be responsible for developing metrics, dashboards and automatic solutions to support multiple initiatives within our global network focused on sustainability and recovery. Dashboard creation will support daily operations, track KPIs, and provide holistic performance measurements to be shared with internal and external stakeholders. The role plays a critical part in ensuring strategic commitments are made and operations are exceeding desired performance levels by using metrics to drive accountability and process improvements. To achieve this you will need to partner with the multiple project leads to align on business needs in order to continuously optimize our end-to-end supply chain.Key job responsibilitiesWorking on a diverse project portfolio supporting Sustainability and recovery initiatives and strategy.Cross-functional collaboration across multiple business teams, Operations, Commercials, Program Management and Finance leadership.Coordination of global analytic roll-ups in support of project work and reporting as needed.Create new pipelines for automation, reporting & analytic opportunities by analyzing and understanding key processes.Document writing and presentations on key initiatives used to influence necessary business actions benefiting the RL Network.BASIC QUALIFICATIONS- Bachelor’s degree - 3+ years of business analyst, data analyst or similar role experience- 3+ years experience with data visualization using Tableau, Quicksight, or similar tools- Minimum 2+ years experience with SQL ...

Project Kuiper is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Project Kuiper will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity.As the Business Intelligence Engineer for the Operations Program Management team you will develop and implement ideas that drive continuous improvement and streamline production of our satellite technology.Key job responsibilities• Work closely with multiple production teams to understand their challenges and provide data/analysis for better decision making. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.• Learn and understand a broad range of Kuiper’s data resources and know how, when, and which to use.• Assist in the development of key metrics and performance indicators to measure overall performance and provide foundation for continuous improvement.• Build self-service reporting platforms, establishing automated processes for large scale data analysis.• Understand and write high quality queries to retrieve and analyze data (ongoing reporting and adhoc requests).• Define analytical approaches and metrics strategy to uncover new insights and formulate recommendations that improve productivity.• Manage the local data infra-structure, and develop scalable solutions for data storage.• Simplify and automate reporting solutions.Export Control Requirement:Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.A day in the lifeThis role will be highly collaborative, requiring partnerships with cross-functional leaders to drive positive results. You will tackle challenging, novel business problems every day and have the opportunity to work with multiple technical teams of Kuiper.You should be comfortable with a high degree of ambiguity and relish the idea of solving problems that haven't been solved at scale before. Along the way, we guarantee that you will learn a lot, have fun and make a positive impact on millions of people.About the teamThe Operations Analytics Team (OAT) was established to develop end-to-end analytics products. That includes both tools and insights for Kuiper Satellite Production operations leadership and functional teams. OAT products are to be used as insights and metrics that production teams drive performance with. The OAT team works in parallel with the PMO office and Kuiper engineering teams. The team consists of 15 Analysts, BIEs and DE that work on setting up analytics infrastructure for Kuiper Production teams. BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Knowledge of SQL and data warehousing concepts- 3+ years experience with data visualization using Tableau, Quicksight, or similar tools- 3+ years experience with data modeling, warehousing and building ETL pipelines- 3+ years experience writing complex SQL queries- 3+ years experience in Statistical Analysis packages such as R, SAS and Matlab- 3+ years experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

Amazon is seeking a highly analytical and skilled Sr. Data Engineer to join our OpsTech Infrastructure Engineering (OTIE) team. The vision for our organization is to be the invisible scaffolding to provide Amazon’s network and device infrastructure for Global Operations. We deliver flexible, low-touch, cost-efficient infrastructure products by leveraging data, analytics, and automation to build a highly scalable and accessible network. If you are passionate about working with big data and thrive in a collaborative, innovative environment, we want to hear from you.As a Sr. Data Engineer, you will work closely with cross-functional teams to ensure data availability, reliability, and accessibility, enabling the organization to extract meaningful insights from diverse data sources. Your responsibilities will include designing, developing, implementing, testing, and operating large-scale, high-volume, and high-performance data structures for analytics. This will entail high degree of collaboration with our network engineering teams. You should possess expertise in architecting data warehouse solutions for the enterprise across multiple platforms and tools (EMR, RDBMS, Columnar, Cloud, Redshift, EMR, Athena, Aurora, DynamoDB, Kinesis, Glue, Lambda, S3, EC2, etc.). Additionally, you should have extensive experience in designing, creating, managing, and utilizing extremely large datasets. You will analyze source data systems and drive best practices within the source teams. Participation in the entire development life cycle, from design and implementation to testing, documentation, delivery, support, and maintenance, will be expected. You will produce comprehensive and usable dataset documentation and metadata and evaluate dataset implementations proposed by peer data engineers. Strong business and communication skills are essential for collaborating with business owners to develop key business questions and build data sets that provide answers, drive change, and promote a deep understanding of the data.Key job responsibilities• Lead the enterprise data lake strategy for OTIE including designing, building, and optimizing the data lake.• Develop and maintain data pipelines to ingest data from various sources into the data lake. For example, implement ETL processes to cleanse, transform, and enrich data for analytical purposes.• Lead development effort focusing on scalability, quality and performance.• Implement data quality controls, metadata management, and data lineage tracking to ensure data integrity and compliance. Enforce data access controls and security measures to protect sensitive information.• Implement data governance and security measures to ensure compliance with regulatory requirements and protect sensitive information.• Monitor data pipelines and systems to identify and resolve issues promptly, ensuring high availability and reliability of data infrastructure.• Stay up-to-date with emerging technologies, tools, and industry trends in data engineering and contribute to continuous improvement of data engineering practices within the organization.Key job responsibilities• Lead the enterprise data lake strategy for OTIE including designing, building, and optimizing the data lake.• Develop and maintain data pipelines to ingest data from various sources into the data lake. For example, implement ETL processes to cleanse, transform, and enrich data for analytical purposes.• Lead development effort focusing on scalability, quality and performance.• Implement data quality controls, metadata management, and data lineage tracking to ensure data integrity and compliance. Enforce data access controls and security measures to protect sensitive information.• Implement data governance and security measures to ensure compliance with regulatory requirements and protect sensitive information.• Monitor data pipelines and systems to identify and resolve issues promptly, ensuring high availability and reliability of data infrastructure.• Stay up-to-date with emerging technologies, tools, and industry trends in data engineering and contribute to continuous improvement of data engineering practices within the organization.BASIC QUALIFICATIONS- 5+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS- Experience mentoring team members on best practices- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.- Excellent problem-solving and analytical skills, with the ability to work on complex data challenges.- Strong communication and collaboration skills, with the ability to work effectively in a team environment.- Hands-on expertise in building and optimizing ETL pipelines and data workflows.- In-depth understanding of data modeling, database design, and performance tuning.- Familiarity with cloud-based data technologies (e.g., AWS, Azure, or Google Cloud Platform). ...

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

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 Marketign across Amazon Pharmacy, Amazon Clinic, and OneMedical. 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 ...

Do you want to join an innovative team of engineers and analysts who use machine learning and analytic techniques to create state-of-the-art solutions for providing better value to Amazon's Sellers and Customers? Are you excited by the prospect of analyzing and modeling terabytes of data to solve real-world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Business Intelligence team within Defect Prevention and Reconciliation (DP&R).The Defect Prevention and Reconciliation team is looking for a Business Analyst who will enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format. You will analyze and solve business problems with focus on understanding root causes and driving forward-looking opportunities. You will communicate analysis and metrics insights to stakeholders and business leaders, both verbally and in writing. These analytics and metrics will help ensure we are focused on what’s important, enable clarity and focus, and partner with internal stakeholders to help drive the business of Fulfillment by Amazon (FBA) Selling Partners.Fulfillment by Amazon (FBA) is built around Amazon’s world class capabilities in ordering, fulfillment, transportation and Customer service. By leveraging our current scale and supply chain, FBA can provide a low cost alternative for fulfillment and enable third party Sellers to rapidly grow their business. Fulfillment by Amazon (FBA) is an Amazon service for our sellers. The FBA team partners with sellers and our Amazon fulfillment centers to create a seamless experience for sellers to leverage our world-class facilities. Key job responsibilities- Retrieve and analyze data using SQL, Excel, and other data management systems.- Monitor existing metrics and create/implement new metrics where needed, partnering with internal teams to identify process and system improvement opportunities.- Design and implement reporting solutions to enable stakeholders to manage the business and make effective decisions.- Support cross-functional teams on the day-to-day execution of the existing program implementation.- Drive small to medium operational enhancement projects.BASIC QUALIFICATIONS- Bachelor's degree or equivalent- 3+ years of business analyst, data analyst or similar role experience- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- Experience defining requirements and using data and metrics to draw business insights- Experience with Excel- Experience with SQL ...

Do you thrive on obsessing about our data and think around the corner to transform data into new insights and leverage best in class data products and solutions to make high-judgement decisions ? Are you looking for an opportunity to build data analytics and insights that put people first? The Security Issue Management engineering group, part of Stores Security, is looking for an innovative, passionate, and outcome-oriented Business Intelligence Engineer.What we doThe Security Issue Management team builds solutions that keep Amazon systems and data secure on behalf of the Amazon customer. Our customers range from security engineers who need a comprehensive understanding of Amazon systems and their security state, to service teams who need solutions that make it easy to build and operate secure systems. We use the latest technology, including AWS, to solve security problems at Amazon scale. We employ automation and machine learning to reduce, or eliminate, manual effort to help our internal customers raise the security bar. We have bold goals to stay ahead of the curve on security and delight our customers with intuitive and effective products.Key job responsibilities- Provides robust BI solutions for complex problems, that are extensible and scalable.- Understand high-level business objectives and continually align work with those objectives to meet needs of business- Refine data strategies that cut across functional teams and make technical trade-off decisions for long term/short-term needs.- Learn and understand a broad range of Amazon's data resources and know how, when, and which to use and which not to use- Serve as liaison between the business and engineering team to achieve the goal of providing actionable insights into current business performance, and ad-hoc investigations to support future improvements or innovations. This will require data gathering and manipulation, problem solving, and communication of insights and recommendations.- Write high quality code to retrieve and analyze data and build data visualizations to tell the story of business trends, patterns, and outliers through rich visualizations.A day in the lifeYou will own and contribute to studies that evaluate the customer experience of executing use cases on security issue management services, as well as technology/industry trends and the voice of the customer. You will join an expanding team, leverage your technical and domain skills, and apply a variety of methodologies to drive these studies. You will collaborate with product teams and senior leaders to provide insights and drive improvements that help us achieve our vision to be Earth's Most Customer-Centric Company.About the teamWe are a team of builders that develop products, services, ideas, and various ways of leveraging data to influence product and service offerings to raise the bar in security. Security issue management system is our centralized tool with the goal of becoming the only place our builders need to go to understand and manage their security issues and to drive action on the highest security risk areas of the business as well as for security teams to drive campaigns efficiently and effectively while simultaneously reducing the effort teams spend on security related tasks.Diverse 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.Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Inclusive Team Culture In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.Training and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- Experience writing complex SQL queries- 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- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field with 3+ years of experience analyzing and interpreting data with Redshift, Oracle, NoSQL etc ...

Are you excited about the digital media revolution and passionate about designing and delivering advanced analytics that directly influence the product decisions of Amazon's digital businesses. Do you see yourself as a champion of innovating on behalf of the customer by turning data insights into action?The Amazon Digital Acceleration (DA) org is looking for an analytical and technically skilled individual to join our team. In this role, you will play a critical part in developing foundational data instrumentation components to seamlessly surface relevant digital content to Amazon customers.An ideal individual is someone who has deep data engineering skills around ETL, data modeling, database architecture and big data solutions. This individual should have strong business judgement, excellent written and verbal communication skills.Key job responsibilities - Develop data products, infrastructure and data pipelines leveraging AWS services (such as Redshift, Kinesis, EMR, Lambda etc.) and internal BDT tools (Datanet, Cradle, QuickSight etc. - Improve existing solutions and come up with next generation Data Architecture to improve scale, quality, timeliness, coverage, monitoring and security. - Partner with Software Developers, Business Intelligence Engineers, MLEs, Scientists, and Product Managers to develop scalable and maintainable data pipelines on both structured and unstructured (text based) data.A day in the lifeThis team is a dynamic group of data engineering and analytics professionals dedicated to developing innovative data products, providing data-driven services, and empowering the organization with robust business intelligence. Composed of talented individuals from diverse backgrounds, we foster a collaborative culture of excellence, knowledge-sharing, and collective problem-solving.We are committed to staying at the forefront of data trends, continuously expanding our expertise to deliver tailored solutions that address our stakeholders' evolving needs.About the teamAmazon Digital Acceleration powers ordering, subscriptions, and device management for Prime, Amazon Video, Music, Audible, Alexa, and Kindle, amongst other digital businesses. We process billions of digital purchases every year and enable our digital businesses to grow their businesses worldwide. We are on a mission to be earth's best provider of one-time and recurring digital commerce, delivering a seamless and enjoyable post-purchase customer experience.BASIC QUALIFICATIONS- Bachelor's degree- 3+ years of data engineering experience- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data modeling, warehousing and building ETL pipelines- Knowledge of distributed systems as it pertains to data storage and computing- Experience working on and delivering end to end projects independently- Coding proficiency in at least one programming language (Python, Ruby, Java, etc) ...