Business Intelligence

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

Love science and data? So do we! The Alexa Devices, Sales & Marketing organization is looking for an experienced Data Engineer to deliver solutions that help deepen our understanding of customers. You will be joining the Alexa Marketing Science (AMS) team, whose mission is to surface timely, scientifically-grounded insights about customers to guide marketing and product leaders.The ideal candidate has excellent technical skills, analytical abilities, written and verbal communication skills, and the ability to influence cross-functional teams. They are an expert with SQL, ETL, Tableau (or similar data visualization tools) and have an ability to quickly translate business requirements into technical solutions. The candidate is a self-starter and team player and able to think big while paying careful attention to detail.As a Data Engineer, you will be working in one of the world's largest and most complex data warehouse environments using the latest set of tools. We help marketing and product teams in Alexa Devices understand our customers by providing data and metrics that provide insight into user experience. Our team is responsible for mission critical research and analytical reports and metrics that are viewed at the highest levels in the organization. We are also working on near-real-time analytics using the latest set of tools for data visualization and investing in Big Data technologies. You should have deep expertise in the design, creation, management, and business use of extremely large datasets, as well as data security and privacy standards and best practices.The role offers a unique opportunity to manage and build new data storage, pipelining, and visualization solutions from the ground up. You should possess high attention to detail, have excellent communication skills, resourceful, customer focused, team oriented, and have an ability to work independently under time constraints to meet deadlines. You will be comfortable thinking big and diving deep. A proven track record in taking on end-to-end ownership and successfully delivering results in a fast-paced, dynamic business environment is strongly preferred. Above all you should be passionate about working with large data sets and someone who loves to bring datasets together to answer business questions and drive change.Key job responsibilities· Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using AWS services and internal BDT tools· Implement data structures using best practices in data modeling, ETL/ELT processes, and SQL, Redshift, and OLAP technologies to support research needs· Interface with researchers and business stakeholders, gathering requirements and support ad-hoc data access to large data sets· Build and deliver high quality data sets to support research scientists and customer reporting needs· Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers· Become a subject matter expert on Alexa and Amazon data sources relevant to Alexa marketing researchers’ use cases, and assist non-technical stakeholders with understanding and visualizing data· Educate the team on best practices for upholding data security and data privacy standards· Maintain clear and consistent documentation of relevant data sources and code frameworksAbout the teamThe Alexa Marketing Science (AMS) team is a team of Research Scientists and UX Researchers that surfaces timely, scientifically-grounded insights about customers to guide marketing and product leaders.BASIC QUALIFICATIONS- 3+ 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 ...

The Supply Chain team is looking for a Principal Product Manager, as part of the Supply Chain Placement analytics team. You will contribute to defining and building inventory placement success metrics, and finding ways to reduce distance to customers by placing the right items in the right Amazon building in order to increase delivery speed and reduce costs. You will chase defects in our systems, leaving no stone unturned to delight our customers with wider selection. This role will give you a unique view on Amazon systems, process and operations, interacting with planning teams, fulfillment centers and worldwide technical teams. If you are someone who has shown success in analyzing, diving deep in complex data, streamlining and identifying process improvement opportunities and pioneering new ways to do things, we’d like to talk to you.As a Principal Product Manager, you’ll:- Define strategy by proactively identifying customer needs and looking around corners for business impact opportunities- Drive strategic alignment with senior leaders using data and insights through decision narratives, and proposals.- Set multi-year vision and strategy, inspiring annual plans for a team to execute- Be the customer voice; always work backwards from customers to guide roadmap prioritization decisions.- Guide project, science and engineering managers with trade-offs between customer benefit and complexity.- Own regular business reviews with senior leaders/executives WW.- Evangelize through training, white papers, and presentations to executivesKey job responsibilitiesYou will lead critical large-scale initiatives for inventory placement WW leveraging analytics, systems and complex data management/visualization and presenting those to different levels within the company:- Design and own the right set of metrics measuring inventory placement performance- Work closely with partner teams to align deliverables such as supply chain roadmaps- Recommend improvements to the placement strategy using modelling and large datasets. You'll guide planning teams and other relevant stakeholders with regards to the mix of products to place in Amazon buildings, maximizing selection and reducing distance to customers and spinning the Amazon flywheel!- Pioneer new ideas to increase speed and reduce delivery cost to customers- Pilot and implement your recommendation in production through smart configurations in Amazon systems- Partner with worldwide technical teams to develop new features- Clearly communicate goals, roles, responsibilities, desired outcomes, and progress to cross-functional project teamsA 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) PlanIf 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!BASIC QUALIFICATIONS- - 10+ years of product, program or similar experience- - Experience owning/driving roadmap strategy and definition- - Experience with feature delivery and tradeoffs of a product- - Experience with cross-functional teams in an ambiguous environment- - Strong data analysis skills, ability to produce, interpret and draw conclusions from data, including proficiency in SQL and Microsoft Excel- - Strong written and verbal communication skills, with history of senior leader interaction ...

Have you ever thought about what it takes to detect and prevent fraudulent activity among hundreds of millions of e-commerce transactions across the globe? What would you do to increase trust in an online marketplace where millions of buyers and sellers transact? How would you build systems that evolve over time to proactively identify and neutralize new and emerging fraud threats?Our mission in Buyer Risk Prevention is to make Amazon the safest place to transact online. Buyer Risk Prevention safeguards every financial transaction across all Amazon sites, while striving to ensure that these efforts are transparent to our legitimate customers. As such, Buyer Risk Prevention designs and builds the software systems, risk models and operational processes that minimize risk and maximize trust in Amazon.com.As a Business Analyst in Buyer Risk Prevention, you will be responsible for analyzing terabytes of data to identify specific instances of risk, broader risk trends and points of customer friction, developing scalable solutions for prevention. You will need to collaborate effectively with business and product leaders within BRP and cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. You 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 proactively present new insights in concise and effective manner. In addition you will be responsible for building a robust set of operational and business metrics and will utilize metrics to determine improvement opportunities.You 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: - Understand the various operations across Payment Risk - Design and develop highly available dashboards and metrics using SQL and Excel/Tableau - Perform business analysis and data queries using scripting languages like R, Python etc - Understand the requirements of stakeholders and map them with the data sources/data warehouse - Own the delivery and backup of periodic metrics, dashboards to the leadership team - Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies - Execute high priority (i.e. cross functional, high impact) projects to create robust, scalable analytics solutions and frameworks with the help of Analytics/BIE managers - Perform business analysis and data queries using appropriate tools - Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus area- Execute analytical projects and understanding of analytical methods (like ANOVA, Distribution theory, regression, forecasting, Machine Learning Techniques, etc.)- Draw inferences and insights from the data using EDA and data manipulations using advanced SQL for business reviewsKey job responsibilities• Understand the various operations across Payment Risk• Design and develop highly available dashboards and metrics using SQL and Excel/Tableau/QuickSight• Understand the requirements of stakeholders and map them with the data sources/data warehouse• Own the delivery and backup of periodic metrics, dashboards to the leadership team• Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies• Execute high priority (i.e. cross functional, high impact) projects to improve operations performance with the help of Analytics managers• Perform business analysis and data queries using appropriate tools• Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus area• Execute analytical projects and understanding of analytical methods (like ANOVA, Distribution theory, regression, forecasting, Machine Learning Techniques, etc.)BASIC 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- Experience creating complex SQL queries joining multiple datasets, ETL DW concepts- Experience defining requirements and using data and metrics to draw business insights- Experience demonstrating problem solving and root cause analysis- Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages- Experience in a BI role with a technology company or financial institution- 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- 1+ year of experience working in Analytics / Business Intelligence environment with prior experience of design and execution of analytical projects ...

Amazon Appstore is a fast-growing Organization and responsible for providing delightful customer experiences across Amazon devices (FireTV, Tablets) with a vast selection of relevant apps, games, and services. The Appstore team is seeking an experienced Business Intelligence Engineer to join our central Data Engineering and Analytics team. The role will be responsible for closely partnering with Data Engineers, Software Development Engineers to build data transformations and provide actionable insights for our Product and Tech stakeholders. This is an exciting opportunity to work on very large datasets and influence products that impact tens of millions of customers on a daily basis.Key job responsibilitiesIn this role, you will:- Analyze and extract relevant information from large, complicated data sets of structured and unstructured data to identify insights to influence product roadmap.- Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support business teams.- Collaborate with product and technical teams to develop and track KPIs, automated reporting/process solutions and data infrastructure improvements to meet product team needs.- Serve as liaison between the product and technical teams to provide actionable insights and drive deep dive investigations into future improvements.- Drive data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.BASIC QUALIFICATIONS- 5+ years of professional experience with Bachelor's degree in Computer Science, Engineering, Math, Finance, or related discipline- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience with data modeling, data warehousing, and building ETL pipelines- Experience using business intelligence reporting tools (Excel, Tableau, Business Objects, Cognos etc.) and AWS big data technologies (Redshift, EMR, S3 etc.)- Ability to display complex quantitative data in a simple, intuitive format and to present findings in a clear and concise manner ...

Advertising's Support Products & Services team is searching for a curious, detail-oriented Business Analyst (BA) to join a multi-faceted Business Intelligence team that serves a broad variety of product, program and engineering stakeholders. Key job responsibilitiesThe BA is ultimately responsible for ensuring their stakeholder teams can make fast and high quality decisions by providing the right data, in the right format, at the right time and in a sustainable way.Specific responsibilities include:• Collaborating with stakeholders to propose and implement new metrics or enhancements• Developing reports and dashboards to provide insights into advertiser support metrics and performance• Conducting root cause analysis on advertiser pain points and service issues• Supporting the rollout of initiatives and technologies, including AI-driven solutions• Assisting with maintenance and operational excellence • Documenting current processes and workflowsAbout the teamThe Support Products & Services (SP&S) team’s mission is to provide the right support and services at the right time to ensure advertisers can effectively grow their business through advertising. For Amazon's 1.8MM self-service advertisers, this includes providing education in their workflows and resolving issues they encounter with excellent contact center support.BASIC QUALIFICATIONS- 3+ years of tax, finance or a related analytical field experience- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- 3+ years of business or financial analysis experience- Bachelor's degree or equivalent- Experience defining requirements and using data and metrics to draw business insights- Experience with Excel- Experience with SQL- Experience making business recommendations and influencing stakeholders ...

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 and Analytics team for Fulfillment By Amazon - Defect Prevention and Reconciliation (DP&R). Fulfillment By Amazon - Defect Prevention and Reconciliation team is looking for a business analyst to analyze existing initiatives and operations, deep-dive/root cause issues as they come up, develop new business metrics, identify and quantify opportunities for improvement, and partner with internal stakeholders to help drive the business of Fulfillment by Amazon (FBA) Selling Partners. Key job responsibilities: - Analyze and solve business problems at their root, stepping back to understand the broader context. - Develop solutions that utilize the highest standards of analytical rigor and data integrity. - Write high quality code to retrieve and analyze data. - Seek opportunities to implement advanced analytical techniques within the current environment. - Partner with product/program managers, software development teams, and other stakeholders to drive development of metrics and analyses necessary for evaluation and implementation of new strategies. - Manage and execute entire projects or components of large projects from start to finish including project management, data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations. 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 making business recommendations and influencing stakeholders ...

This position requires that the candidate selected be a U.S. citizen and be eligible to obtain and maintain an active TS/SCI security clearance with polygraph.By applying to this position, your application will be considered for all locations we hire for in the United States.Do you want to be part of a team focused on increasing the reach of cloud computing across stakeholders? As a technical business developer, your responsibilities will include engaging with customers and partners, learning about strategic business solutions, and identifying business growth opportunities for AWS. This is your opportunity to interact with mentors and be part of a team that is driving day-to-day decisions and business strategy. Technical business developers with AWS partner with team members to lead the next paradigm shift in computing.If this sounds exciting to you - come build the future with us!Key job responsibilities• Partner with team members at AWS to analyze customer trends and market conditions• Support AWS sales teams to drive their day-to-day interactions through data driven input• Identify new growth opportunities for AWSBASIC QUALIFICATIONS- Bachelor’s degree in analysis, informatics, business statistics, or similar program with a graduation date between May 2023 - September 2025 or graduated within the last 24 months. ...

Job Location: Candidate can opt for Seattle, WA or Tempe, AZAre you interested in helping Amazon ensure that customers make great purchase decisions and enable the world's most recognized Brands using Amazon to have the best experience listing and selling their products? The Transparency team is seeking a skilled and experienced Business Analyst who is excited about translating vast and complex data sets into actionable insight and simple and actionable, and scalable solutions. To be successful in this role, you must have a high capacity for Learn and Be Curious, be comfortable dealing with ambiguity, be an effective communicator, and be organized. Our business moves rapidly, and it’s important to be able to adapt to the latest changes in the business, systems, tools, and techniques for extracting, processing, analyzing, modeling, and taking action on data. You will work directly with business stakeholders to define strategy and requirements, and then lead projects from design through delivery. This is a global role that will include interaction with brands, tech teams, business development, operational teams, and stakeholders across US, EU, CN, IN, JP and AU. As a Business Analyst on the Transparency PM team, you will focus on exciting and challenging problems, including:- Translate basic datasets into actionable insights - Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format- Influence and implement the team's approach to data - Guide and provide recommendations on focus areas and improvement opportunities for the business- Have in-depth knowledge of the data available and how to collect it; periodically identify more advanced methods of query optimization- Utilize basic data-manipulation tools and cross-check data to determine accuracy- Convert data to information through basic descriptions, aggregations, and pivots- Implement/deploy data visualization or communication tools (e.g., metrics dashboards, decks, flashes)- Share data with stakeholders to inform business decisions- Manage expectations; prioritize own workload and communicate statusAdvanced SQL and Excel are required. About the teamWe are a team of smart, hardworking and passionate PMs that like solving complex problems in a collaborative manner. BASIC QUALIFICATIONS- 3+ years of business or financial analysis experience- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- Experience with SQL- Experience defining requirements and using data and metrics to draw business insights- 3+ years of business analyst, data analyst or similar role experience- Experience making business recommendations and influencing stakeholders ...

Are you passionate about building GenAI based business insights? Do you want to be a part of a fast-paced, ambiguous environment and contribute to one of the biggest payment platform on globe?In this role you will be responsible for solving complex and ambiguous data and metric problems. You will use latest AWS provide Data Analytics and GenAI tools to provide business metrics for senior leaders. You should have a track record of end-to-end ownership and successfully delivering results in a fast-paced and dynamic business environment. You should be able to work on complex initiatives, deal with ambiguity. You will be required to work with senior leaders, product managers, program managers and sister data teams to understand metrics like ASR, Bad Debt, PSR etc. You will also need to provide metrics around code development, ticket resolution etc.Key job responsibilitiesAs a business intelligence engineer, you will/may:* Be highly data driven, resourceful, customer-obsessed and team oriented* Use latest AWS provided data analytics and GenAI tools* Design, develop, and implement scalable, automated processes for data extraction, processing, and evaluation* Define data driven approaches and metrics strategy to uncover new insights* Have a passion for sourcing, manipulating, and visualizing data to tell business stories* Be able to clearly communicate strategic findings and recommendations* Translate complex, technical concepts into business terms and vice versa* Work with engineering and data teams to support the development of tools and dashboardsAbout the teamPayments ML and Data team in GPTech, Amazon Payments, owns the Data and ML use cases, services, product for core payment platforms. We provide payments data to 550+ clients teams in Amazon and have AI/ML products based on that data impacting annual GMS of more than $100MM.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 interested in diving deep into data and engineering the metrics model that drives continuous improvement for Amazon’s global delivery operations? Do you have solid problem-solving abilities, metrics-driven decision making and want to solve problems with solutions that will meet the growing worldwide need? Then TOM Product & Services the team for you. We are part of building the world's fastest, most reliable, and lowest cost transportation network that provides customers the most control and are looking for a top notch Business Intelligence Engineer. As an Amazon Business Intelligence Engineer you will be working in one of the world's largest and most complex data warehouse environments. You should have deep expertise in the design, creation, management, and business use of datasets at scale. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. You should excel at designing, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into the data warehouse and into end-user facing applications. You should be able to work with business customers in understanding the business requirements and implementing reporting solutions. Above all you should be passionate about bringing large datasets together to answer business questions and drive change. Key job responsibilities- Design automated solutions for recurrent reporting (daily/weekly/monthly).- Design automated processes for in-depth analysis.- Design automated data control processes.- Collaborate with the software development teams to build solutions.- Learn, publish, analyze and improve management information dashboards, operational business metrics decks and key performance indicators.- Improve tools and processes, scale existing solutions, and create new solutions as required based on stakeholder needs.- Participate in annual budgeting and forecasting efforts.- Perform monthly variance analysis and identify opportunities.About the teamThe TOM Product & Services team identifies, builds and implements increasingly complex, cross-functional and impactful products in Amazon's Middle Mile. We own these programs from end to end, anticipating bottlenecks, resolving blockers, managing escalations and balancing business needs versus technical constraints. 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 Go-To-Market (GTM) Team for Contact Center Management System (CCMS) within the Customer Engagement Technologies (CET) organization is seeking a highly skilled and motivated individual to help drive migrations from old legacy tools to Amazon Connect for WW Customer Service. This team is also responsible for leading functional testing, triaging emerging issues, and developing new testing solutions. An successful candidate is skilled at process development and documentation, as well as stakeholder management. You are a highly adept communicator, able to effectively build alignment with a diverse set of stakeholders, and identify and resolve the root cause of defects within current systems.Key job responsibilities- Maintain constant communication with site operations, leadership, technology teams and other internal clients customer experience status across different business lines. This involves working with various tools which are used to obtain information required by the stakeholders. - Plan and execute business and User Acceptance Testing prior to marketplace launch. - Conduct root cause analysis of issues identified during testing, and ensure timely escalation of findings to appropriate teams. - Deliver results according to project Go-To-Market strategy, and schedules, while maintaining SLAs on velocity, productivity, and quality. - Handle exceptions where there is a deviation from launch plans to maintain business continuity. - Generate and analyze metrics to identify problem areas. Suggest solutions or changes for improvement and amend SOPs once approved. - Manage projects, identify requirements, and work with various teams to improve tools and identify automation opportunities.A day in the lifeLeading the functional testing in the form of incubation launch and friends n family [first 30/60 days], including emerging issues follow-up and reporting, testing solutions, prepare and execute UAT to support the incubation phases and full launch with key stakeholders.Overall Scope: - Connect Testing Design and Planning - Internal UAT (Instance/Infrastructure Test) - Connect Functional, Configuration and Feature Testing - Handshake validation for Connect focused on CET products and integration (MU Bot, Foresight, etc.) - Bug Triaging and Driving Issue Resolution - Internal and GO CSA Testing along with GO Sites (Firewall etc.) - Direct Dial Telecom Testing (In-Country Toll-Free Number/Direct Inward Dialing Number) - Friends and Family/Incubation Readiness and First Responders Room support - Support Daily Sunset inputs for GEPM and Stakeholders- Full Launch Readiness and First Responders Room support- Miscellaneous support for Launches, Migrations, and Expansions including Ad-hoc meetings, triaging, launch readiness etc. Benefits Summary:Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:1. Medical, Dental, and Vision Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) PlanAbout the teamThis position will be a testing specialist on the Go-to-Market team and will be focused on the global migration of customer service onto Amazon Connect. This position is tasked to work closely with our customer service Operations teams, CCMS Tech, Product, and CET engineering teams to understand testing scope, create test plans and a test repository, facilitate UAT and deal with bug triaging and issue resolution for setting up our CSA network on Connect as we migrate from our legacy system onto this new product. This role will extensively test the Connect functionality, access, setups and configurations and all other go-to-market readiness to ensure the store is launch ready.BASIC QUALIFICATIONS- Bachelor's degree or equivalent- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders- Experience partnering with executive-level leaders to identifying and solving business issues ...

Come be a part of a rapidly expanding $25 billion-dollar global business. At Amazon Business (AB), 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 reimagine buying. Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of AB to buyers and sellers of all sizes, unlocking our potential worldwide.This role can be based in any Amazon Business hub (Seattle, Dallas, Austin, HQ2, NY, Tempe). This is not a remote opportunity at this time.This position will be part of the business analytics team responsible for building out analysis, visualization tools and processes for the Amazon Business 3P team. The successful candidate will be able to build and maintain new data tables that help our business analysts and business leaders quickly access needed information. You will retrieve, integrate, visualize and present critical data in a format that is immediately useful to improve the business decision process. This role requires an individual with analytical abilities and comfort with technical teams and systems. comfortable with ambiguity, with attention to detail, and enjoying working with large scale of data.We already have a team of business analysts who expertly query existing data tables. We need someone to plan and build new data tables that make that process easier.Key job responsibilitiesa. Collaborate with data engineers, business analysts, sales, product, and technology teams in driving step function changes towards influencing seller experience improvements. b. Collaborate with senior leadership to define and build new tables that track business performance over time. c. Own data governance and stewardship for business critical metrics that influence technology investment decisions.d. Analyze and visualize transaction data to determine seller behaviors, and output solid analysis with recommendations.e. Create scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation.f. Lead projects from start to finish including project management, data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.g. Develop queries, statistical analysis, and visualizations for ad-hoc requests and projects, as well as ongoing reporting.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 ...

Quick: A seller is listing a new product on Amazon. They report the product normally lists for $89.99 and that they're selling it for $50. What should Amazon do with this information? Is this price gouging or a terrific price?This is a difficult problem...and it happens more than 2 billion times per day!The WW Pricing CX within the Price Perception and Evaluation Org, is looking for a seasoned Senior Business Intelligence Engineer (Sr. BIE) to help us build, report on and analyze metrics for our business, we support all Amazon programs and geographies worldwide.In this role, you will lead efforts to identify and drive projects to increase Amazon’s understanding and influence of pricing. You will develop regular business reporting to baseline current performance and deepen our insights across customer segments and product types. You will help to establish measurements that will be used when running experiments to measure the impact of the experiments on price perception. You will help to influence the development of new models that will influence the way we display products. You will collaborate across teams to develop capacity reporting for project and operational overhead for existing and emergent work-flows. You will help define the data pipeline and self-service tools and driving insights for Pricing CX shown on Amazon. These Pricing CX provide contextual information to Customers about pricing. You will present your work in a variety of forums, including documents that will be reviewed by L10+ stakeholders.The ideal candidate is a motivated self-starter that can work independently in a fast paced, ambiguous environment with limited supervision. You must be a fast learner who can quickly absorb the nuances of Amazon's varied pricing programs and processes. You need to be analytical in your decision making, with a demonstrated ability to drive issues to completion.The position is located in Seattle, WA.As part of this role you will -- Work closely with the partner BIEs, data engineers, PMs, econ and ML teams to identify and address issues and opportunities.- Facilitate and participate in the Price Perception BIE sprint planning and execution process- Analyze key metrics to uncover trends and root causes of issues, answer business questions on key Pricing CX trends worldwide, but also to ask the right ones.- Build metrics to measure key inputs and output metrics that drive Amazon price perception- Develop deep dive tools for key metrics.- Setting the standard in business intelligence for the organization, establishing best practices, and aligning teams and orgs toward simple, coherent approaches.BASIC QUALIFICATIONS- 5+ years of professional or military experience- 5+ years of SQL experience- Experience with theory and practice of design of experiments and statistical analysis of results- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience building measures and metrics, and developing reporting solutions- Experience programming to extract, transform and clean large (multi-TB) data sets ...

We are powering an automation and self service driven customer journey for AWS customers leveraging a range of Analytics tools to generate business shaping insights. About AWS: For more than 11 years, Amazon Web Services (“AWS”) has been the world’s most comprehensive and broadly adopted cloud platform. AWS offers over 100 fully featured services to millions of active customers around the world - including the fastest-growing startups, largest enterprises, and leading government agencies - to power their infrastructure. About the Analytics Team: The Analytics team is a small, central group in the AWS Support organization. The team comprises members from a range of skill-sets such as strategy & planning, Machine Learning / predictive analytics and Business Intelligence. The Analytics team is responsible for pushing our Product, Process and Customer understanding and insight beyond the here and now to create value for the long-term. The team is responsible for coming up with hypotheses, uncovering key insights and developing a point of view on actions across the portfolio of our products and services. About the Role: If you love driving critical thinking and insight into challenging, unstructured problems and working with leaders in the organization to bring those insights into action, this role is for you. This is a hands-on role, however, being a part of a small team gives opportunity to take ownership of the customer / business problem across the spectrum from ideation to setting it up for implementation in partnership with stakeholder teams. About the teamDiverse 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. 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.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 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 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. AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.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 ...

Do you want a unique, exciting opportunity to help build something from the ground up? We are looking for builders who thrive in ambiguity to join the BI team of a tech organization under Workforce Planning. The ideal candidate will have a passion for automation and clean, streamlined process design. The applicant will draw upon advanced analytical, critical thinking, problem solving skills, software development experience, and an aptitude for creating maintainable, highly reliable, distributed systems which operate 24/7/365. You will work with analytic tools, write excellent scripts, partner with customers to answer key business questions, and act as an advocate for your customers. Successful members of this team collaborate effectively with internal end-users, cross-functional software development teams, and technical support/sustaining engineering teams to solve problems, implement new solutions, and deliver successfully against high operational standards of system availability and reliability. 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 Intelligence Engineer is well beyond basic data entry and extraction. It involves design and development of automated data pipelines, sophisticated analytical and intuitive data . In addition, this role is on a large analytical team that supports a wide range of businesses. This role has great exposure to a broad scope that can really help shape the future of operational fulfillment and promotes career progression.About the teamThe Strategies Labor BI team elevates the labor planning experience by producing insights and data for our customers. We do this by: 1) Generating actionable insights to inform product roadmaps, drive strategic decisions for our CXO customers2) Enabling stakeholders through automated reporting, self-service dashboards, and/or company-wide tools/metrics; 3) Improving our data architecture and processes to reduce time spent on KTLO and Operations; 4) Supporting general business needs (e.g., xBRs, escalations, ad hoc requests) and operations. 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 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 ...

Utility Computing (UC)AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services.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.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. 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 & 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. We are part of AWS Product BI team. This team supports the business intelligence needs for Compute, Storage, Networking, Automation & Messaging, Management Tools and Developer Tools product families. We own the data, metrics and reporting for these orgs. We empower all our stakeholders to make data driven business decisions by providing Daily Reports, WBRs, Analyses/Narratives and Datasets. We innovate on behalf of our end-users to produce relevant Metrics, Automations and Tools to make Data and Insights actionable.“Nothing is beyond our reach”We operate by the slogan that “nothing is beyond our reach”. We think big. We sometimes find ourselves asking “how in the world is there no tool or solution for this?”, or “how have we managed to operate like this for so long?”. Our response in these moments, is “well, let’s fix it”. If the idea of pioneering solutions to unsolved problems from the ground up in uncharted territory sounds exciting to you, come join us!AWS produces an outrageous amount of data, and our org is seeking a data engineer to usher in a new generation of data management where data can be a first class citizen in our operations. AWS is looking for an excellent Data Engineer to join the AWS Product BI team. This is your opportunity to be a core part of the team that has direct impact on the day-to-day decision making in the many AWS Product teams like EC2, S3 and IoT.Since early 2006, AWS has provided companies of all sizes with an infrastructure platform in the cloud. AWS is a high-growth, fast-moving division within Amazon with a start-up mentality where new and diverse challenges arise every day. On the AWS Product BI team you will be surrounded by people that are exceptionally talented, bright, and driven, and believe that world class BI is critical to our success. To help build this growing team, you should be highly analytical and possess a strong passion for analytics and accountability, set high standards with a focus on committed business success. We take working hard, having fun, and making history seriously. AWS sets the standard for functionality, cost, and performance for many cloud based services, but it’s still early days for cloud computing, and there are boundless opportunities to continue to redefine the world of cloud computing - come help us make history!As a Data engineer on this team, you will be a technical leader in our team, and own the technical architecture of our BI and Data platforms. You will get the exciting opportunity to work on very large data sets in one of the world's largest and most complex data warehouse environments. You will work closely with the business and technical teams in analysis on many non-standard and unique business problems and use creative-problem solving to deliver actionable output.Our team is serious about great design and redefining best practices with a cloud-based approach to scalability and automation. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment, and an ability to work effectively with cross-functional teams.Key job responsibilities- Designing, developing, troubleshooting, evaluating, deploying, and documenting data management and business intelligence systems, enabling stakeholders to manage the business and make effective decisions.- Building secure, available, scalable, stable, and cost-effective data solutions using data storage technologies, distributed file system, data processing, and business intelligence best practices.- Working with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs.- Designing and planning for solutions in the various engineering subject areas as it relates to data storage and movement solutions: data warehousing, enterprise system data architecture, data design (e.g., Logical and Physical Modeling), data persistence technologies, data processing, data management, and data analysis.- Ensuring completeness and compatibility of the technical infrastructure to support system performance, availability and architecture requirements- Reviewing and participating in testing of the data design, tool design, data extracts/transforms, networks and hardware selectionsBASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Bachelor's degree ...

Do you love working with big data to derive new and actionable insights? Do you have passion for Entertainment? If so, come join IMDb! With over 250 million monthly users, IMDb is the world’s most trusted source for movies, TV, and celebrities. IMDb sits at the intersection of entertainment, media, and technology, inside the world’s most innovative and customer-centric company – Amazon.com. The data and insights our team provides, powers all IMDb properties and feeds directly into the Amazon flywheel. As IMDb employees, we enjoy the best of both worlds, all benefits and resources of Amazon with the autonomy and impact of a small, nimble team.IMDb is looking for an experienced and motivated Business Intelligence Engineer (BIE) to unlock key industry insights and trends. As an analytics leader on our team, you will work closely with Product Managers, Finance, Marketing Managers, Data Engineers, Data Scientists, and Software Development Engineers to solve unique and challenging problems. You will leverage your intellect, curiosity, and technical ability to develop innovative solutions to real-world problems. You will learn different aspects of the business and understand how to build and apply analytics tools to solve high-impact business problems. You will dive deep into existing and new data sources to create unique and actionable insights to best serve our diverse global population of entertainment fans, professionals, advertisers, contributors, and data licensees. Key job responsibilities• Partner with cross-functional teams to solve complex business problems and deliver integrated BI solutions that drive informed decision making• Create scalable and insightful data solutions (dashboards, models, extracts) to answer key business questions• Identify opportunities for improvement or automation of large-scale data analyses, statistics, and visualization solutions• Implement data quality processes to ensure accuracy, consistency, and reliability of BI systems• Build and manage weekly, monthly and quarterly business review metrics• Lead BI projects independently end-to-end• Share your insights and learnings broadly, through team demos, cross-team learning sessions, and senior leadership discussionsAbout the teamThe IMDb BI team consists of Business Intelligence Engineers, Data Engineers, and Data/Applied Scientists. We sit within the IMDb Foundation Tech Org and support the intelligence and science needs for all of IMDb. We work closely with stakeholders from across the company with dedicated areas of investment spanning global customer growth and engagement initiatives, programmatic and premium advertising performance, professional subscription services, and content coverage and quality analysis.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 ...

Data Engineer Come build the future as a Data Engineer at Amazon, where you will be inspired working along best-in-class inventors and innovators! You will have the opportunity to create meaningful experiences that deliver on the ever-evolving needs of our customers, and your work will impact millions of people around the world. As an Amazon Data Engineer, you will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable. You will find that there is an unlimited number of opportunities within Amazon, where developing your career across a wide range of teams is highly supported. We are committed to making your work experience as enjoyable as the experiences you’ll be creating for our customers.Apply now and you will be eligible for Amazon Data Engineer positions that are based on your preferred location, team, and more. We’re hiring across Amazon Stores in the United States and Canada. Teams with available positions include, but are not limited to:• Consumer Technology: Build new generation features and products for amazon.com, constantly improving the Customer and Seller experience for billions around the globe. Whether building site wide features such as reviews and recommendations, category specific software for the likes of Pharmacy, Electronics, Digital Software and Video Games or seller infrastructure, there are a variety of complex problems to tackle using a range of technologies in the design of your technical solutions. • Operations Technology: Shape the future of transportation planning and execution on a global scale, that impacts hundreds of fulfillment centers, thousands of Amazonians, and millions of customers across the world. Your technology will support thousands of operators worldwide to design, build and run the best-in-class Amazon transportation network. We are building intelligent software to make transportation more reliable, faster, and less costly, providing a better and less expensive experience for our customers.• Human Resources Technology: Create a seamless experience for millions of Amazonians and/or candidates. Whether supporting technologies for onboarding, time and attendance, compensation, amazon.jobs, or recruiting, you’ll deliver robust feature sets, elegant designs, intuitive user interfaces and systems that make it easy for Amazonians to excel at performing critical business functions.About Us: Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign opportunities based on what will help each team member develop into a better-rounded contributor.Inclusive Team CultureHere at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Key job responsibilities• Design, implement, and support a platform providing secured access to large datasets.• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.• Tune application and query performance using profiling tools and SQL.• Analyze and solve problems at their root, stepping back to understand the broader context.• Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use.• Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume using AWS.• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets.• Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Proficient in SQL- Experience with data modeling, warehousing and building ETL pipelines- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS ...