Business Intelligence

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 ...

Business Analysts are responsible for converting data into actionable business insights. They are analysis experts who leverage a variety of data platforms and analytical tools to provide timely, meaningful, and consumable information. They build deep contextual and domain knowledge. They ensure data quality and build scalable tools. They communicate findings with the most effective and influential methods. Amazon 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 ideal candidate will draw upon advanced analytical, problem solving skills, and passion for delivering business insights and analytics. We look for candidates who are excellent communicators, self-motivated, flexible, hardworking, and who like to have fun.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. Proficiency in the aforementioned languages is not required, but an ability to be a quick learner and gain proficiency is required for a successfully candidate. This role will have high level visibility due to the nature of the toolsets 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- Provide data management processes such as accessing raw data feeds, building queries and macros, writing VBA code, organizing data and designing reports that present status-at-a-glance visualization for business performance.- Retrieving and analyzing large sets of data using Excel, SQL, and other data management systems.- Designing and implementing reporting solutions to enable stakeholders to manage the business and make effective decisions.- Taking ownership of reporting processes to ensure that each report is accurate and timely with a high degree of customer focus in resolving data discrepancies.- Building and managing related key performance indicators (KPIs) to measure, control, and benchmark reporting processes.- Monitoring existent metrics, building new metrics, and partnering with internal teams to identify process and system improvement opportunities.- Supporting cross-functional teams on the day-to-day execution of the existent program implementation.- Generating complex queries to dive deep on process issues- Innovating to improve customer experienceBASIC QUALIFICATIONS- 3+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- Experience defining requirements and using data and metrics to draw business insights- Experience with SQL- Experience making business recommendations and influencing stakeholders- Bachelor's degree or equivalent- 3+ years of business analyst, data analyst or similar role experience ...

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 Manager of Business intelligence team in AWS Analytics Engineering, you will be responsible for owning end-to-end analytical roadmap for your supported AWS services. 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 lead and oversee business intelligence initiatives across multiple AWS products to provide accurate and timely business metrics that enable data-driven decision making across AWS. As you design your service's analytical capabilities, you will be redefining best practices with a cloud-based approach to scalability and automation.Key job responsibilities- Lead and manage a team of junior and mid-level business intelligence/data engineers.- Lead prioritization of projects based on business impact and actionable insights.- Enable team self-sufficiency through training, transparency, and access to methodologies- Establish team business practices, roles and responsibilities, and professional development opportunities.- Partner with senior leadership Product/finance/Business development functions and provide actionable insights on a regular cadence. - Build and maintain the data infrastructure to answer business questions with data using data engineering best practices.- Create a analytical roadmap for your supported services and oversee its execution through collaboration with Data Engineers, Business Intelligence Engineers, Data Scientists, Business Analysts, and Product/Program Managers.- Understand the business and technical requirements, and make decisions that help make the products/programs smoother.A day in the lifeTo be successful in the role, you need strong team management, communication and analytical skills, alongside with the ability to manage stakeholders’ expectations to deliver the strategic plan with your team. You will work in a collaborative and empowering work environment where cross-functional teamwork drives success, and your expertise in data-driven innovation is highly valued. You’ll have the autonomy to lead initiatives, the support to grow professionally, and the opportunity to make a meaningful impact by delivering actionable insights that shape key business decisions.About the teamUtility 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- Advanced degree in Business, Science, Technology or related disciplines- 8+ years of business intelligence and analytics experience- 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience- Experience managing, analyzing and communicating results to senior leadership.- Proven track record in implementing organizational change management strategies.- Experience in creating analytics roadmap and making appropriate tradeoffs when needed.- Experience in data manipulation through SQL, ETL, Python, Relational/Non relational database systems.- Experience with data visualization using Tableau, Quicksight, or similar tools ...

Interested in working on an innovative and high-impact business that is changing the way customers think about grocery? Amazon is looking for a customer obsessed, and motivated individual to join the Amazon Fresh Grocery team. Our team is responsible for the omnichannel Amazon Fresh business, both online and stores. As Business Analyst, you will develop solutions to drive business and financial insights and optimization for the Amazon Fresh Grocery business. On this team, you will have an opportunity to collaborate with a group of passionate business leaders, category managers, operations specialist, product managers, research scientists, and software developers to help bring data-driven insights to the fore. This position requires innovative thinking, ability to quickly approach large ambiguous problems and apply reason, technical and engineering expertise to rapidly research, validate, visualize, prototype and deliver analytical solutions. This position also requires significant cross functional partnership and clear communication skills. Successful candidates will thrive in a fast-paced, ambiguous, growth-oriented and collaborative environment.Key job responsibilities• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc.• Partner with business teams to consult, develop and implement KPI’s, automated reporting/process solutions, and process improvements to meet business needs.• Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format.• Prepare and deliver business requirements reviews to the senior management team regarding progress and roadblocks.• Participate in strategic and tactical planning discussions. Preparing and delivering business reviews to the senior management team regarding progress and roadblocks.• Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support our business needs.BASIC QUALIFICATIONS- Bachelor's degree or equivalent- 3+ years of business analyst, data analyst or similar role experience- 3+ years of business or financial analysis experience- 3+ years of Excel or Tableau (data manipulation, macros, charts and pivot tables) experience- Experience in Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with SQL- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders- Ability to display complex quantitative data in a simple, intuitive format and to present findings in a clear and concise manner ...

We are looking for motivated BIE to join the Amazon Global Cross Border Selection Team. The BIE will work side-by-side with the Product and Business team members as they support the team driving success and growth of Cross Border Selection Expansion. This is an exciting opportunity to develop analytical insights and work directly with business and product leaders to shape Cross Border Selections Expansions Strategy.Amazon Global is pioneering cross-border e-Commerce by becoming a one-stop shop for Amazon Customers Worldwide and providing a seamless experience to shop international selection. Selection is a key input driver for this business and we are looking for a dynamic, organized and self-starting BIE candidate to take on a critical role in developing cross border selection reporting and analytics to deliver key insights to teams around the work for one of Amazon’s fastest growing businesses.Our team is a cross section of product and program managers who own the end-to-end strategy and execution of growing selection offerings for worldwide customers. The optimal candidate will owns the reporting and analytics for selection growth across 45+ countries deep diving to develop insights that help drive our strategy for acquiring new selection and retaining existing selection. Our team works with product, tech, legal, ML, and compliance teams across the world to deliver unique selection that delights our customers around the world.As a Business Intelligence Engineer, you will work with our Business and Product Teams to create automated and scalable analytical tools that will ultimately be critical in driving the growth and expansion of the business. This includes building the infrastructure for regular reporting on business and production selection data and diving deep to uncover insights that will impact selection expansion decisions. You will leverage data to provide key data-driven insights, enable new analyses, and innovate on behalf of our business customers.Key job responsibilities· Own, design, develop, document, and manage scalable solutions for new and ongoing metrics, reports, analyses, and dashboards to support business needs. · Generate actionable insights through the development of metrics, dashboards and deep dive analyses. · Serve as a technical, business-metrics specialist and insight provider in the organization. · Act as a key interface between our business customers and technical divisions. · Leverage extensive data sets to derive strategic insights that shape business decisions on content spend. · Present insights to senior stakeholders in Product and Business Teams. · Work in a fast paced, global environment, across various functional 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 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 ...

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- Conduct quantitative analysis, data visualization and data-mining to derive actionable insights and guide product strategy for stakeholders and leadership- Develop internal reporting/visualization tools for self-serve purposes- Provide analytical support for new feature launchesKey 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 attacksBASIC QUALIFICATIONS- Bachelor's degree or equivalent- Bachelor's degree in finance, accounting, business, economics, engineering , analytics, mathematics, statistics or a related technical or quantitative field- Experience with SQL or ETL- Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages ...

At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. This role is in Amazon's Worldwide Grocery Stores Tech Data and Analytics organization. We work with all aspects of the grocery business (e.g., Merchandising, Pricing, Promotion, Supply Chain, Finance, Marketing, Space Planning, etc.). We own and develop within an in-house platform to configure and build Analytics Solutions across multiple business domains.This role is both creative and data driven – we need someone who can review our current infrastructure, isolate improvement opportunities, help us think big about what to consider in terms of localization, scalability, commodity management, and long term automation. We are looking for someone who will scope and execute analyses to formulate conclusions and recommendations to be presented to senior leadership on business growth opportunities. You will also be responsible for producing insights that will help shape effective strategies to better meet our customers’ needs. You will work closely with internal teams, and partners across the grocery business line and other partner teams in these areas to provide decision support in this rapidly evolving space.This role requires an individual with deep knowledge of business intelligence solutions, and have the ability to work with technology, product development, and business teams. The successful candidate will have passion for data and analytics, be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and entrepreneurial environment, and driven by a desire to innovate Amazon’s approach to this spaceKey job responsibilities- Develop new and innovative analyses to inform product strategy and design. This analysis will determine approach and roadmap for key strategic initiatives.- Analyze relevant business information, and uncover trends and correlations to develop insights that can materially improve our product and strategy decisions.- Develop clear communications for recommended actions.- Establish new, scalable, efficient, automated processes for tracking and reporting on progress of initiatives.- proactively and continually improve your level of knowledge about Amazon’s Grocery business, the business processes in the domain of your key stakeholders, and relevant technologies supporting those processes.- understand functional requirements and work to improve the end user experience for the application supported.- employ modeling and flowcharting techniques to communicate technical solutions in a simple but effective manner.- Collaborate with Product Managers and stakeholders to define deliverables and timing.- work with Product Managers to build mockups and prototypes of applications or reports- analyze data and design data models to support Applications and AnalyticsAbout the teamWe enable sophisticated, fact-based decision making across Amazon Grocery by delivering constantly evolving technology and analytic capabilities. This team will solve challenging and novel problems every day and have the opportunity to redefine the grocery industry while collaborating with multiple teams across WFM and Fresh. You will be able to enjoy and contribute to the unique blend of Amazon and WFM Tech culture. You will be based out of Austin, TX, one of the best places to live and work.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 Amazon Devices organization designs, produces and markets Kindle e-readers, Fire Tablets, Fire TV Streaming Media Players and Echo Speakers, and is constantly looking to innovate on behalf of customers with new devices in existing or new categories or improving the customer experience on existing platforms. The Devices Analytics team provides customer engagement support to the broader organization for Kindle, Fire, and Echo products – established and emerging countries, worldwide. We are looking for an innovative, hands-on and customer-obsessed Data Engineer who can be a strategic partner to the product managers and engineers on the team. Our projects span multiple organizations and require coordination of experimentation, economic and causal analysis, forecasting, and predictive machine learning tools. You will act as the business-facing subject matter expert for data storage, feature instrumentation, and data privacy, with the responsibility of managing end-to-end execution and delivery across projects. In this role, you will be a technical expert with massive impact. You work tightly with the research scientist and business intelligence engineers on our team to create the data infrastructure and pipelines to drive our machine learning projects from initial experimentation to production level deployment. Your work will directly impact the success of Amazon's growing Devices business. You will work across diverse science/engineering/business teams. You will work on critical data engineering problems, building unique high quality reliable, accurate, consistent, and architecturally sound data sets that are aligned with our business needs.Key job responsibilities- Design, implement and support an analytical data infrastructure - Managing AWS resources including EC2, EMR, S3, Glue, Redshift, etc. - Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies - Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency - Collaborate with Data Scientists and Business Intelligence Engineers (BIEs) to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation - Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customersBASIC 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 ...

Come and be a part of a rapidly expanding $35 billion-dollar global business. At Amazon Business, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech and retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations re-imagine 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 unlocking our potential worldwide.Amazon Business Flywheel Inputs Analytics team is looking for a Sr. Business Intelligence Engineer to excel at deal response analytics. Amazon Business (AB) represents an incredible opportunity to address a vast new market segment and customer base for Amazon. We are focused on building solutions that enable B2B customers to find and buy products and services across multiple devices and marketplaces. The Amazon Business Science and Analytics team owns the data driven decision making for key AB problems including price setting, selection additions, and operations optimization. Amazon Business is a fast growing business sector. We need leaders who can think big and drive big vision into a reality. Please come to work with us if you are result driven, think big, and want to have fun and make a history. You will build the analytics and the supporting structures needed to analyze, dive deep, and innovate product strategies. You will also have the opportunity to present findings to cross functional team partners to drive improvements. You will work closely with the Product/Program Managers, Data Engineers, Applied/Research/Data Scientists, Economists, and Software Development Engineers to solve challenging problems. You need be comfortable using intellect, curiosity, and technical ability to develop innovative solutions to business problems. You will learn different aspects of the business and understand how to build or apply analytics tools to solve high impact business problems. You will be expected to provide clear and concise explanation to results and approaches as well as provide opinion and guidance on problem solving.The ideal candidate will possess leadership skills, proven ability to develop, enhance, automate, and manage ETL pipelines end to end. The ideal candidate will have strong data mining and analytical skills and will be comfortable facilitating think big ideas and working from concept through to execution. The ideal candidate must have demonstrated ability to gather business requirements, and translate them into scalable ETL and analytics solutions. Key job responsibilities• Work closely with the BIEs, DEs, and Scientists in the team and collaborate effectively with product managers to create scalable solutions for business problems.• Create program goals and related metrics, track progress, and manage through obstacles to help team achieve objectives• Identify opportunities for improvement or automation in existing data processes and lead the changes using your business acumen and data handling skills. • Use the best practice on data integrity, design, test, implementation, documentation, and knowledge sharing. • Mentor and guide junior members in the team.• Contribute to supplier operations strategy development based on data analysis• Lead strategic projects to formalize and scale organizational processes• Build and manage weekly, monthly and quarterly business review metrics. • Build data reports and dashboards: Leverage your data skills and technical means (SQL, Excel, etc.) to improve on business efficiency across programs.About the teamAmazon Business (AB) represents an incredible opportunity to address a vast new market segment and customer base for Amazon. We are focused on building solutions that enable B2B customers to find, research, and buy products and services across multiple devices and marketplaces. The Analytics team owns data infrastructure and reporting/analytics for key AB problems including price setting, selection additions, and inventory health. BASIC QUALIFICATIONS- 5+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Master's degree in statistics, data science, or an equivalent quantitative field- Experience building measures and metrics, and developing reporting solutions- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience working directly with business stakeholders to translate between data and business needs ...

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 ...

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.The Global Service Compliance – External Affairs team manages service compliance programs in support of the expansion and ongoing offering of Kuiper communications services and products. The Global Obligations Delivery Manager will hire and develop a global team, responsible for production and delivery of all external facing deliverables including reporting, payments, and other requirements. This manager will use deep compliance subject matter expertise to drive cross-organization alignment on optimized legal, financial, and product reporting structures with a goal to maintain compliance and minimize financial and regulatory impact to Kuiper businesses. This leader will be responsible for implementing Go-To-Market compliance strategies that align to and enable business launch timelines across the globe. End deliverables for the team will include production and delivery of complex revenue and subscribership reporting, regulatory fee payments based on the same, network availability reporting, and all other obligation deliverables to be submitted directly to regulators. You will obsess over internal and external customers to ensure accurate and complete (i.e., on time, in the right currency, via the right payment methods) obligation delivery, and documentation, every time, in every country.You and your team will do all of this to support global expansion timelines for Kuiper and enable Kuiper businesses to maintain licenses while minimizing financial and reputational impacts to Kuiper and Amazon as a whole. 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.Key job responsibilities• Use deep subject matter expertise and experience in highly regulated domains to translate complex compliance obligations into business, technical, and operational requirements and mechanisms for delivery. • Develop and implement compliance Go-To-Market (GTM) strategies in alignment with business goals. Deliverables and goals focus on enabling licensing, launch timelines, and product expansion across global entities.• Drive alignment and optimization of legal, financial, and product structures that minimize risk to Kuiper and drive compliance. • Responsible for producing all service compliance obligation deliverables required to meet compliance obligations for Kuiper as a communications service provider enabling current and future business product offerings and customer strategies. A day in the life• Develop and optimize mechanisms to manage scheduling and capacity across your team and related support functions. Ensuring accurate and timely delivery of complex reporting and financial calculations using large data sets from a variety of data sources. • Aligns directly with Finance, Legal, Accounting, and Tax (FLAT) on reporting matters including detailed line-item mapping to General Ledger (GL)/Sub-GL data.• Implement and improve operational processes to ensure timely and accurate payments supporting various payment types, bank accounts, legal entity structures and approvals.• Coordinate across Kuiper entities, and across Amazon addressing the unique nature of Kuiper operating as a global Communications Service Provider.BASIC QUALIFICATIONS• A minimum of 5 years regulatory assessments, financial reporting, or audit experience responsible for complex compliance requirements. • A minimum of 7 years management experience leading high performance operational team• 3 years minimum leading go to market, expansions, product support functions to roll out new products and offerings with regulatory requirements ...

The OpsTech Solutions(OTS) - DataTech is looking for a technically astute analytical and passionate teammate to join our team and deliver on behalf of our customers. This position will be responsible for realizing business value from the use of statistical methods to gather, review, and interpret data to solve real-business problems.The candidate will collaborate with cross functional teams and partner with data leaders to drive and deliver business value for OTS across the globe. The candidate will have a primary focus in the driving the success of our programs and cross team initiatives back by AWS technologies like QuickSight and Data Lakes/Data Mesh. This individual will collaborate with their peer team members across the globe in supporting our Data as a Product strategy and Unified Reporting strategy. The candidate will be responsible for driving customer metrics and partnering with internal and cross-functional teams of BIEs partnering with the central engineering team and business stakeholders and conducting deep dive analyses to solve complex business problems and to build robust/automated BIE solutions. The candidate will also be responsible for driving analytical strategy for their respective function and enable data driven decision making for their teammates and stakeholders. This position requires positive thought leadership and ownership mentality, statistical knowledge, analytical abilities, and good knowledge of business intelligence solutions. The candidate will also need to be a good stakeholder manager as they may work closely with senior stakeholders. The candidate should be comfortable with ambiguity, capable of working in a fast-paced environment, continuously improving technical skills to meet business needs, possess strong attention to detail and be able to collaborate with customers to understand and transform business problems into requirements and deliverables.Key job responsibilitiesSupport OTS data strategy:• Build data model solutions tailored to customer needs supporting our Tableau to QuickSight Migration and improving our Data as a Product strategyDevelop and manage data:• Build standardized reporting processes and dashboards• Automate data pipelines where possible• Develop, program, manage, and maintain complex statistical datasetsPerform data analysis and problem-solving:• Define and utilize statistical methods to solve OTS business and industry-specific problems• Research problems and identify data required to answer specific questions• Identify trends and inter-relations in data• Compare insights to identify patterns, relationships, and problemsCommunicate insights and findings:• Prepare detailed reports for management and other departments• Analyze and interpret data• Communicate findings to OTS business partners and stakeholdersCollaborate and guide:• Work with partner teams• Guide proper development of data assets• Supervise data entry when necessaryEnsure data quality and governance:• Implement best practices for data management• Contribute to data governance initiativesA 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: - Medical, Dental, and Vision Coverage - Maternity and Parental Leave Options - Paid Time Off (PTO) - 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 teamDataTech is a centralized organization with OpsTech Solutions under the Fulfillment Technology & Robotics org. BASIC QUALIFICATIONS- 5+ years of professional or military experience- 5+ years of SQL experience- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience building measures and metrics, and developing reporting solutions- Experience with AWS technologies- Experience with data visualization using Tableau, Quicksight, or similar tools ...

Do you want a role with deep meaning and the ability to make a massive impact? Hiring top talent is not only critical to Amazon’s success—it can literally change the world. It took a lot of great hires to deliver innovations like AWS, Prime, and Alexa, which make life better for millions of customers around the world every day. As part of the Intelligent Talent Acquisition (ITA) team, you'll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy that Amazon's Talent Acquisition operations need.ITA is an industry-leading people science and technology organization made up of scientists, engineers, analysts, product professionals and more. Our shared goal is to fairly and precisely connect the right people to the right jobs. Last year, we delivered over 6 million online candidate assessments, replacing the "game of chance" with a merit-based approach that gives candidates the chance to showcase their true skills. Each year we help Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of associates in the right quantity, at the right location and at exactly the right time. You’ll work on state-of-the-art research, advanced software tools, new AI systems, and machine learning algorithms to solve complex hiring challenges. Leveraging Amazon's in-house tech stack built on AWS, you'll have the autonomy and flexibility to bring innovative solutions to life. One day, we can bring these solutions to the rest of the world. Join ITA in using cutting-edge technologies to transform the hiring landscape and make a meaningful difference in people's lives. Together, we can solve the world's toughest hiring problems.The Rapid Insights team within ITA provides actionable insights to Amazon Recruiting and HR leaders to improve efficiency, experience, diversity, and performance. Our recommendations shape Amazon's hiring strategies. Business Intelligence Engineers (BIEs) apply technical expertise and leadership skills to build data sources, analyze complex information, and deliver insights that impact millions of prospective Amazonians worldwide.Key job responsibilitiesThe Business Intelligence Engineer role in ITA is responsible for creating data modeling necessary to facilitate reporting and analytics, acquiring new data sources, and building out comprehensive data visualizations for stakeholders. This role is truly a jack of all trades; it will be part process improvement, part analytics, part data modeling, and part strategic design. The role requires a uniquely gifted analytics expert who is naturally curious and runs towards big challenges. If you are passionate and curious about data, obsess over customers, love questioning the status quo, and want to see and feel a tangible impact to your team’s work, this is the role for you. If you can seamlessly move across these various skillsets then you’ll thrive in this role.Key Responsibilities Include:* Solving complex business problems with simple, analytical reports, dashboards, visualizations, and analyses.* Partnering with our Data Engineering and Data Science teams to design, build, and measure data models and metrics using data driven tools.* Building out comprehensive metrics to measure operational health, then demonstrate continuous improvement within these metrics.* Being the voice of your customers; communicate the needs of candidates, associates, and staffing coordinators to your stakeholders via the dataAbout the teamThe Intelligent Talent Acquisition (ITA) team supports the Amazon Talent Acquisition (ATA) organization by transforming data into insights on hourly associate and corporate hiring within Amazon. While ATA is responsible for the management of the hourly and corporate talent supply chain, the ITA 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 analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

Are you passionate about 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 ...

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 ...

Wifi is the foundation of the modern home. Without it, nothing works. eero, an Amazon company, is the first company to deliver a whole home WiFi experience using mesh technology, ensuring there isn’t a home layout or connected device we can’t handle. Fixing connectivity is, however, just the start. We’re working on the building blocks of the smart home by designing our own hardware, enabling it with software, and tying it all together to the cloud. A home that anticipates our needs, takes care of us and our families, keeps us safe and healthy, and saves money and energy.We are looking for a Business Intelligence Engineer to join the eero Finance team to help us extract meaning from large volumes of data to help us make the right business decisions. The successful candidate will be an expert with SQL, ETL, and Tableau and have exemplary communication skills. The candidate will need to be a self-starter, comfortable with ambiguity in a fast-paced and ever-changing environment, and able to think big while paying careful attention to detail. The candidate knows and loves working with business intelligence tools, can model multidimensional datasets, and can partner effectively with business partners to answer key business questions.As a BIE at eero, you will: - Engage with the business and diversified customer groups to understand the needs and recommend business intelligence solutions. - Partner with the Data engineering team to define the data elements and data structure that the team should leverage to enable analytical capabilities. - Interface with business and finance customers, gathering requirements and delivering complete forecasting and reporting solutions. - Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards and models to drive key business decisions - Be connected and influential within the Amazon analyst community. Work with Data engineering, Software development teams to enable the appropriate capture and storage of key data points. - Understand and communicate machine learning and other statistical techniques used to forecast key business drivers, and analyze and report model results and metadata.BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

The AST(Air Science and Technology) team is looking for a highly skilled, motivated and experienced Senior Business Intelligence Engineer with a strong delivery record and leadership experience to join our Team. The amazon air network is the critical middle mile solution in the Amazon Transportation Services (ATS) group that links the fulfillment centers to the last mile/customers using airplane and enable fast shipments. As a Senior Business Intelligence Engineer at AST, you will be working in one of the world's largest and most complex data warehouse environments. The ideal candidate will have expertise in statistics, scripting and SQL, expert problem solving skills and experience with tools (including Redshift, S3, ETL, EDX, Athena and Quicksight). This position will work closely with product, science and technical leaders throughout Amazon Air, Amazon Transportation Technology and other operation teams to determine root cause of operational challenges, build KPIs (Key Performance Indicators) and metrics, un-earth opportunities and present findings and recommendations to business partners and management.A qualified candidate must be self-motivated and have demonstrated ability to manage large-scale projects that are innovative or complex and at the same time delivered as quickly, accurately, and as cost effectively as possible. In addition, possess strong written and verbal communication skills, strong focus on internal and external customers, high intellectual curiosity to learn new concepts and methodologies and ability to adapt and thrive in the fast-paced, high change environment.Key job responsibilities- Collect data and perform advanced modeling and statistical analysis- Map, document and recommend process improvements- Support business growth and help create efficient designs and solution processes- Determine efficient utilization of resources- Actively engage with internal partners throughout the organization to meet and exceed customer service levels & transport-related KPI’s- Research and implement cost reduction opportunities- Support the continued development of the business’s data infrastructure- Excellent problem-solving, task prioritization, and follow-up skills- Ability to work well in a team environment- Ability to work in an ambiguous environment with little guidance or supervision- Ability to manage through conflict with a positive, flexible and professional attitudeBASIC 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 ...

Canada Customer Fulfillment's (CACF) Amazon Customer Excellence Services (ACES) team is seeking a BIE to support country-wide projects and new processes at scale to support Amazon’s explosive growth within Canada. In this role, you will partner with retail, Fulfillment By Amazon (FBA), SCOT, PerfectMile, transportation, and software/DE/ML teams to drive visibility and to support innovation across Canada’s supply chain. The position provides opportunities to influence one of the highest visibility/high impact areas in the organization. Are you interested in building analytical solutions for CACF ACES? This position is for a Business Intelligence Engineer (BIE) to scale up our data projects to next level. This position requires experience in business intelligence solutions, hands-on on data engineering and data science practices, the ability to collaborate with various teams, and excellent statistical and analytical abilities.Key job responsibilities- Building and managing benchmarking metrics for Amazon’s fulfillment practices both internally and externally against best-in-class operations- Gathering and analyzing data across business functions to establish global standards for supply chain and product fulfillment- Developing scripts to process data to support business analysis, benchmarking, and optimization efforts- Generating complex queries to dive deep on process issues- Innovate to improve customer experience and continuously remove cost from our fulfillment network- Collaborate with BI/Data Engineer teams and drive the collection of new data and the refinement of existing data sources to continually improve data quality- Research machine learning algorithms and implement by tailoring to business needs and test on large datasets.Our ideal candidate is a "full-stack" data powerhouse who uses data to drive decision making to make the best products for our fulfillment centers. Members of this team will be challenged to innovate use the latest big data techniques. We are looking for people who are motivated by thinking big, moving fast, and exploring business insights. If you are autonomous and love to implement solutions to complex problems while working hard, having fun, and making history, this may be the opportunity for you.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, data and program/product teams to foster an innovative learning environment.About the teamCanada Customer Fulfillment (CACF) ACES was founded to accelerate the expansion and improvement of the country’s end-to-end supply chain by closing the capability gap between CA and the US and fueling CA’s high topline growth.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 Analytics, Data Science, Computer Science, Mathematics, or equivalent industry experience- Expert SQL skills and proficiency in Python/R- Experience using data to create insight, drive business decisions and influence leadership- 2+ years of experience as a data scientist or data analyst in a high velocity, data-driven environment- 2+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience- Experience applying theoretical models in an applied environment ...

We are looking for an exceptional Senior Business Intelligence Engineer to help build out actionable and insightful metrics for both internal and external stakeholders. The goal of these actionable insights is to give our internal stakeholders a holistic view in to how policies connect to our customers and to help our customers better understand their advertising on Amazon. To succeed in this role, you will have strong technical acumen and extensive experience in developing reporting, BI, and data warehouse solutions. The ideal candidate will be a self-starter, comfortable diving deep, and making data driven decisions with a strong customer focus. Key job responsibilities· Develop a deep understanding of Advertising's vast data sources and know exactly how, when, and which data to use to solve particular business problems.· Conduct deep dive analyses and translate requirements into effective data visualizations and analytical solutions· Imagine and develop new ways to present data that adds value and insight· Proactively identify projects and analyses that help improve Ads Customer Trust, including defining metrics and goals.· Partner closely with other Tech, Product and Data engineering teams on the day-to-day execution of analytics, projects and initiatives About the teamCustomer trust is everything at Amazon. Our Advertising Trust organization develops policies, and builds the systems, which ensure customer trust in advertising. With a growing advertising technology business, and hundreds of thousands of active self-service advertisers across the globe, this organization is vital to ensuring we can scale while maintaining and ensuring strong customer trust. Leveraging AI, we build systemic solutions that ensure advertising adherence to the complex regulatory, legal, regional, cultural and customer expectations in over 30 countries.BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience writing complex SQL queries- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

Amazon.com is broadly recognized as #1 in Customer Service in the US and abroad. At Amazon, we drive innovation and customer obsession into everything we do, and this is especially true in the Customer Engagement Technology (CET) department. CET owns the technology to support and enhance our Customer Service Operations network through our Self-Service and Automation features, and various client applications. Amazon seeks a Business Intelligence Engineer to help promote the adoption of Data-Backed Experimentation and Analytics in Customer Service. We are a customer-obsessed team looking for someone who adheres to the highest data quality and governance standards, and can provide clear direction when surrounded by ambiguity.Key job responsibilitiesAs a Business Intelligence Engineer, you will support an emerging charter to enable experimentation and self-service analytics within Amazon's worldwide Customer Service organization. You will:• Design experiments of new software features by partnering with Product and Program Management teams• Define necessary success metrics and build the required data pipelines• Develop reporting and processes to enable self-service analytics by partnering with a worldwide team of Customer Service leaders• Introduce cloud technologies (such as AWS) to solve challenging problems related to warehousing large datasets, high-availability data visualization, and data self-service• Design and implement a reporting ecosystem and standards by working closely with technical managers, operations, and business leadsA day in the lifeCustomer Obsession: Achieve consensus on the inputs and associated success metrics that drive best-in-class Customer Service.Earn Trust: Partner with the Operations, Finance, and Data Science teams to establish the interaction model(s) necessary to drive data-backed business decision-making.Are Right, A Lot: Introduce analytical standards for data availability, quality, and visualizations; Develop mechanisms to detect and remediate defects and deviations.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 sAbout the teamThe charter of the Business Intelligence team is to enable analytical insights about the usage, performance, and delivery of software. We accomplish this in four ways:- We publish and maintain the events standard and data enrichment layer used by customers and external partners to understand and describe activity.- We build and maintain self-service reports to enable users to independently measure performance across standard Operational Metrics and view the results segmented across common dimensions.- We enable insights by supporting hypothesis testing and maintaining self-service test-and-learn architectures.- We enable business decision-making by supporting run-of-business analytics.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 with forecasting and statistical analysis- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...