Business Intelligence

Are you obsessed with building world class shopping experiences that delight customers? Are you excited by the idea of working with large volumes of data, collaborating with a diverse range of stakeholders, and solving unique customer problems? Help invent the future of luxury as a Business Intelligence Engineer (BIE) leading data and analytics across an emerging, complex business area.Fashion and Fitness Marketing at Amazon is looking for an exceptional BIE who will help deliver the roadmap for data-driven Marketing insights. The right candidate will thrive in ambiguous situations and love to build from the ground up. You will own metrics, dashboarding and measurement across our portfolio of products that will enable our program to scale quickly. You will use analytical and statistical rigor to answer complex problems via data analysis. Outputs from your analysis will directly help improve Fashion & Fitness business strategy, our portfolio of products (including our innovation roadmap), and help us achieve our goals. Learnings will be extensible to broader lifestyle categories. The optimal candidate is an expert with business intelligence tools and passionately partners with cross-functional stakeholders to identify strategic opportunities where data-backed insights drive value creation. An effective communicator, the candidate translates analysis outputs into executive-facing business terms. The candidate works with internal and external teams to push projects across the finish line. The candidate is a self-starter, comfortable with providing structure to ambiguity, able to think big while having attention to detail, and enjoys working in a fast-paced and global team.Key job responsibilities· Own, design, develop, document, and manage scalable solutions for new and ongoing metrics, reports, analyses, visualizations, and dashboards to support business needs· Dive deep to understand frameworks utilized for storing data and different tools and solutions used to gain access to it· Use data mining, data modelling ,data warehousing, and other analytical techniques to develop and maintain customer segmentation and predictive models to drive the business· Design and drive experiments to form actionable recommendations. Present to business leaders in both ad-hoc forums and routine business reviews (MBR/QBR) to drive decisions· Be able to swiftly prioritize and multi task based on severity level and strong business judgement.· Measure and analyze existing offering for opportunities to innovate and improve, providing additional benefits to customers· Identify new opportunities for Amazon to improve our Fashion and Fitness offeringsBASIC 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 ...

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 ...

How often have you had an opportunity to be a member of a team that is tasked with solving customer needs through disruptive and innovative technology? Everyone on the team needs to be entrepreneurial, wear many hats and work in a fast-paced, ambiguous, and highly collaborative environment that’s more startup than big company. If this sounds intriguing, then we’d like to talk to you about a role on the Amazon Defect Elimination Analytics team. This team drives Amazon towards a defect-free customer experience by building technology that rapidly identifies defects, associates them with the information required to resolve the root cause, and prioritizes the multitude of improvement opportunities based on business and customer needs. To continue expanding our defect elimination program, we seek a passionate, results-oriented, Business Intelligence Engineer (BIE).The Business Intelligence Engineer will partner with Software Developers, Data Engineers, Research Scientists, Program & Product Managers to provide insights on customer feedback, create key performance indicators for our products, and assist in feature engineering and model development. The ideal candidate has strong business judgment, organization skills, backbone, experience measuring product performance, and collaborates well with with product owners to answer key questions. The operating environment is fast paced and dynamic, however has a strong team spirited and welcoming culture. To thrive, you must be detail oriented, enthusiastic and flexible, in return you will gain tremendous experience with the latest in big data technologies as well as exposure to statistical and Natural Language modeling through collaboration with scientist on global issue detection models and development. Key job responsibilities - Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. - Partner with operations/business teams/economist/ML teams to consult, develop and implement KPI’s, automated reporting/process solutions and data infrastructure improvements to meet business needs. - Develop the end-to-end automation of pipelines for applications and ML models - Apply analytic skill to extract meaningful insights and learnings from large and complicated data sets. - Serve as liaison with Business and technical teams to achieve project objectives, requiring data gathering, problem solving, modeling, and communication of insights and recommendations.A day in the lifeIf you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!”Benefits Summary:“Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:1. Medical, Dental, and Vision Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) PlanBASIC 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- Bachelor's Degree ...

Are you interested in building and scaling the Amazon Launchpad program to elevate new and innovative brands selling on the Amazon online store? Amazon Launchpad's mission is to support entrepreneurs by providing resources, expertise, and creative marketing to help showcase and deliver innovative products to our customers. If you live for these kinds of challenges, we've got the job for you!We are seeking a customer obsessed, data oriented Business Analyst to work on the Amazon Launchpad team. As a Business Analyst, you will help develop an analytic platform to drive deep dives, provide insights into the health and state of the Launchpad program. You will build dashboards and reports that support both retrospective and proactive reporting for the program. You will own the design, creation, and management of large datasets. You will interact with internal program and product owners, and technical teams to gather requirements, structure scalable and performant data solutions, and gain a deep understanding of key datasets.Key job responsibilities* Design and execute analytical and reporting projects in collaboration with business teams, data engineering, finance, other business analysts and specialists.* Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format* Define the business problem and solution approach autonomously with limited guidance.* Proactively identify opportunity areas for deep dive investigations and future program development.* Analyze and validate data to ensure high data quality and reliable insights.* Write concise documents communicating results to stakeholders and visualize data to drive decision makingAbout the teamAmazon Launchpad's mission is to support entrepreneurs by providing resources, expertise and global support to help showcase and deliver innovative products from small businesses to millions of Amazon customers.Mentorship & Career GrowthWe have a vision for and commitment to your personal success. Whether your goals are to explore new concepts or take on bigger opportunities, we'll help you get there.BASIC QUALIFICATIONS- 3+ years of business analyst, data analyst or similar role experience- 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- Bachelor's degree in finance, data analytics, mathematics, statistics, engineering, or related technical or quantitative field ...

Do you pioneer?Do you enjoy breaking down and solving complex problems for the benefit of a quickly expanding customer base, focusing first on our customer and working backwards? Do you want to be part of a newly formed organization that is designing and launching new business models across the world? If so, the AMXL supply chain team is looking for an experienced leader with a strong record of achieving results, to create and execute the worldwide AMXL supply chain by working closely with our retail and operations partners across the globe in order to effectively manage volume flows and fullness for our fulfillment centers and delivery stations. The role requires heavy index on dive deep, bias for action, and ownership.Amazon Extra Large (AMXL), formerly known as Special Handling, obsesses over customers by offering a white glove service where we deliver TVs and other large items like furniture in customers homes. Not only do we deliver large parcels, we unpack, assemble, install and sometimes even do tests, hauling away old items as needed. As we head into Peak, we continue to build our special handling fulfillment, delivery and services network and will add more fulfillment centers and delivery stations across NA. We are currently in the process of building out a network that is poised for big growth in the coming years.The Business Intelligence Engineer will support the rapid growth of this initiative by developing business metrics, mining data to uncover consumer insights and business opportunity, and partnering with internal stakeholders to drive the business. The ideal candidate will be highly analytical with proven experience delivering results.Specific responsibilities include identifying the necessary metrics and creating reports to increase understanding of the business, proactively identifying pain points or opportunities through systemic measurement. The Business Intelligence Engineer will be detail oriented, and possess expertise in both qualitative and quantitative analysis with a passion for delivering actionable insights to key stakeholders. The right candidate will blend advanced reporting with strong critical thinking and project management skills.Key job responsibilities- Working backwards from success criteria of key strategic initiatives and create KPIs to track overall status of the program- Designing and implementing reporting solutions to enable stakeholders to manage the business and make effective decisions.- Creating robust and scalable data infrastructure to retrieve and analyze data - Monitoring existent dashboards, metrics, analyzing data 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. - Driving small to medium operational enhancement projects.BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience writing complex SQL queries- 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- Experience with data visualization using Tableau, Quicksight, or similar tools ...

Do you have a desire to make a major contribution to the future in the rapid growth environment of Cloud Computing? Amazon Web Services is looking for a Sr Business Intelligence Engineer to help build a scalable, predictive, and prescriptive business analytics platform that supports the AWS Infrastructure Supply Chain Finance (SCF) organization. You will be part of the Finance Analytics team working with Business Analysts and Data Engineers to achieve our goals.You will have a passion to dive deep, a high level of customer focus and a track record in process improvement. This role requires an individual with excellent analytical abilities, strong knowledge of business intelligence solutions and the ability to work with Finance, quantitative and business teams. You will lead multiple automation and controllership initiatives across the Finance org. You will be primarily using but not limited to AWS solution stacks like Redshift, S3, Glue, Lambda, Data pipeline and reporting tools such as Tableau and Alteryx/KNIME to implement BI solutions.Key job responsibilities Develop and implement scalable and reliable analytics, tools, KPI dashboards, and metrics that drive key supply chain, financial, and procurement decisions. Design and implement metrics dashboards to deepen understanding of cost structures, capital spend, and variances highlighting opportunities for improvement. Collaborate with Finance, Tax, Supply Chain, Procurement, and Engineering to capture requirements and deliver analytics solutions. Develop and implement analytics to continually improve continuity of supply and operational efficiencies. Apply automation so that with every iteration on a problem, you build your solution to have maximum scale and self-service ability by stakeholders. Understand a broad range of Amazon’s data resources and know how, when, and which to use and which not to use. Recognize and use advanced analytical techniques to recommend prescribed/ optimized courses of action to users. Interface with Data Engineers, Business Analysts and stakeholders to deliver complete BI solutions. Employ data mining, segmentation, and other analytical techniques to capture important trends in the supply chain, cost, and customer base. Participate in strategic and tactical planning discussions to interface with business customers, gathering requirements and delivering complete reporting solutions.BASIC QUALIFICATIONS- 5+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience with theory and practice of design of experiments and statistical analysis of results- Experience with AWS technologies- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with theory and practice of information retrieval, data science, machine learning and data mining- Knowledge of data warehousing and data modeling ...

AWS is one of Amazon’s largest and fastest growing businesses, serving millions of customers in more than 190 countries. We use cloud computing to reshape the way global enterprises use information technology. We are looking for entrepreneurial, analytical, creative, flexible leaders to help us redefine the information technology industry. If you want to join a fast-paced, innovative team that is making history, this is the place for you.AWS Finance Analytics and Science Team (FAST) is responsible for many of the key functions needed by the AWS global sales organization, including building and operating the data resources that provide the AWS sales organization with insights into all areas of business performance. The successful candidate will be an expert with SQL, ETL (and general data wrangling), and have exemplary communication skills. The candidate will need to be comfortable with ambiguity in a fast-paced and ever-changing environment, and able to think big while paying careful attention to detail. The candidate will know and love working with business intelligence tools and can partner with customers to answer key business questions.Key job responsibilities· Work with business customers to gather requirements and deliver complete data analytical solutions· Learn why customers are asking for data and what their underlying questions and business goals are· Own the design, development, and maintenance of ongoing metrics and analyses used to drive key business decisions· Recognize and adopt best practices, including data integrity, accuracy, and reliability, as well as documentation· Drive data democratization throughout the organization, enabling others to self-serve their data needsBASIC 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 ...

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 ...

Business Intelligence Engineer Come build the future as a Business Intelligence Engineer at Amazon, where you will be inspired working along best-in-class inventors and innovators! You will have the opportunity to create meaningful experiences that deliver on the ever-evolving needs of our customers, and your work will impact millions of people around the world. As an Amazon Business Intelligence Engineer, you will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable. You will find that there is an unlimited number of opportunities within Amazon, where developing your career across a wide range of teams is highly supported. We are committed to making your work experience as enjoyable as the experiences you’ll be creating for our customers.Apply now and you will be eligible for Amazon Business Intelligence 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 be-tween 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• You will utilize your deep expertise in business analysis, metrics, reporting, and analytic tools/languages like SQL, Excel, and others, to translate data into meaningful insights through collaboration with scientists, software engineers, data engineers and business analysts. • You will have end-to-end ownership of operational, financial, and technical aspects of the insights you are building for the business, and will play an integral role in strategic decision-making.• Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership• Produce written recommendations and insights that will help shape effective metric development and reporting for key stakeholders• Simplify and automate reporting, audits and other data-driven activities• Partner with Engineering teams to enhance data infrastructure, data availability, and broad access to customer insights• To develop and drive best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation• Learn new technology and techniques to meaningfully support product and process innovationBASIC QUALIFICATIONS- At least 4+ years of experience using SQL to query data from databases/data warehouses/cloud data sources/etc. (e.g., Redshift, MySQL, PostgreSQL, MS SQL Server, BigQuery, etc.).- Experience with data visualization using Tableau, Quicksight, or similar tools.- Bachelor’s degree in Statistics, Economics, Math, Finance, Engineering, Computer Science, Information Systems, or a related quantitative field.- Ability to operate successfully and independently in a fast-paced environment.- Comfort with ambiguity and eagerness to learn new skills. ...

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

Amazon's Fulfilled by Amazon (FBA) Voice of Seller team seeks a Senior Business Analyst with a strong technical skill set and a proven ability to influence across multiple organizations. Over the last 20 years, the share of physical gross merchandise sales sold on Amazon by third-party Sellers has grown. With Sellers in multiple countries listing their products for sale on the Amazon Marketplace, these Sellers are increasingly critical to delivering on Amazon’s vision of offering the Earth’s largest selection and lowest prices.This role will work with science and marketplace business teams to build advanced models to reduce end to end supply chain costs for FBA Sellers. You will build bridges to explain variance in inventory at granular levels to drive appropriate action within FBA product, marketplace business teams, and FBA Sellers. This is an analytical role which will require you to work closely with science and Machine Learning teams. This role will expose you to Seller pain points and ability to reshape their experience by influencing product vision and roadmap to implement step change product ideas globally. This is an opportunity to work in a startup like environment within Amazon and we seek an analytics leader who is motivated by a fast-paced and highly entrepreneurial environment. If you have a passion for innovation, for thinking big to tackle ambiguous problems, for solving some of the biggest technical challenges in the industry, and for building elegant products that delight our customers, we need you!Key job responsibilities• Analyze seller experience trends and build engagement metrics for each marketplace. • Identify opportunities to improve supply chain efficiency and reduce end to end supply chain cost for Sellers. • Design seller facing experiments liaising with Product and Science teams. • Develop Key Performance Indicators that help measure experimental efficacies • Create actionable bridges to explain variances in seller behavior to expected experimentation outcomes. • Engage with stakeholders across marketplace business teams, capacity, S&OP and Finance teams to socialize FBA inbound and inventory KPIs • Design and implement reporting solutions to enable stakeholders to manage the business and make effective decisions. • Support cross-functional teams on the day-to-day execution of the existent program implementation. • Monitor existent metrics, build new metrics, and partner with internal teams to identify process and system improvement opportunitiesA day in the lifeAs a Sr. Business Analyst, you will help develop analytic solutions to drive deep dives, provide insights into the health and state of the FBA business. You will transform data for the millions of unique products involving hundreds of thousands of Selling Partners and tens of millions of customers around the world into actionable business information, make it accessible to stakeholders worldwide. You will communicate complex ideas to leadership so they are easily understood. 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, metadata modeling, pipeline development and monitoring. You will interact with leadership, scientists, program and product owners, and technical teams to gather requirements, structure scalable data solutions, and gain a deep understanding of key datasets. You will design, implement and drive adoption of new analytic technologies and solutions and promote industry standard best practices. You will be responsible to tune query performance against large and complex data sets.BASIC QUALIFICATIONS- Bachelor's degree in supply chain management, operations, engineering, analytics or related field- 5+ years of business or financial analysis, product costing, procurement, or a quantitative role experience- 5+ years of writing SQL queries and creating business intelligence reports using Tableau, Power BI experience- Experience defining requirements and using data and metrics to draw business insights- Experience with QuickSight dashboard and visual creation ...

The role of Business Intelligence Engineer (BIE) II within the Network Design Planning & Engineering (NDPE) analytics team in Global Transportation Services (GTS) organization is responsible for building analytical solutions to propose designs that reduce cost to serve and improve customer speed. The BIE II focuses on both near term and long term 1P requirements that enable capacity growth, cost reduction, faster speed, better quality and greater sustainability in our transportation network. Key job responsibilitiesThe BIE II collaborates closely with data engineers, program managers, data scientists and business stakeholders to provide business intelligence solutions for NDPE. BIE II acts as the go-to technical expert for data sources and visualization, gathering and deploying BI requirements with business stakeholders. BIE II engages with cross-functional teams and leadership within NDPE and various organizations including ATS LH, SCOT, APEX, TESS, NASC, NACF, AMZL, MOP and GTS Finance teams to design appropriate scalable BI solutions for business problems, prioritize analytics efforts, and deliver solutions that enhance the customer experience and reduce costs.The individual needs to continuously make business decisions on prioritization of features/dashboards while keeping the speed of business in mind. BIE II refines requirements from business stakeholders and converts them into functional designs that solve problems. BIE II identifies trends, articulates insights and develops action plans leveraging data to improve Amazon’s transportation network. BIE II identifies new ways to implement solutions at scale and ensures that solutions are flexible enough to meet the changing business requirements.The BIE II develops and maintains sophisticated data models that recommend network design improvements in alignment with NDPE goals and objectives. BIE II creates dynamic and interactive data visualizations to effectively convey complex information to stakeholders. BIE II constructs visual mapping options that effectively illustrate distribution patterns and core transportation metrics. This individual creates new business tools to automate manual processes and expedites the identification and improvement of data integrity issues. BIE II places a strong emphasis on operational excellence by proactively identifying quality issues and proposing solutions that streamline processes for increased efficiency and ease of maintenance. BIE II drives consensus on data sources and methodologies for metric calculation, documents the aligned processes and onboards everyone to use the single source of truth. The BIE II quantifies the impact of process improvements and helps stakeholders identify root causes of defects, measuring progress. BIE II communicates effectively with both technical and non-technical audiences. BIE II excels in documenting and presenting BI solutions to business stakeholders in a clear and straightforward manner, ensuring that complex concepts are communicated in a simplified and easily understandable fashion. In conclusion, the role of BIE II in the NDPE analytics team is instrumental in shaping Amazon's transportation network to be more efficient, cost-effective, faster and customer-centric.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 ...

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.Project Kuiper is looking for a talented Senior Business Intelligence Engineer. This role is responsible for analyzing large sets of data and building pipelines for automated dashboards and reporting in support of North America Consumer Operations and Lifecycle Management teams. A successful candidate will be independent, comfortable with ambiguity, and adept at dealing with large volumes of data, including geospatial data. We are looking for someone who has built end-to-end analytical workflows, has experience in data visualization, and is obsessed with driving insights on statistically sound data. Key job responsibilities- Analyze large data sets to identify patterns, understand drivers, and generate insights for professional installation demand, availability, and speed; customer experience, satisfaction, and churn; and customer contact trends- Write queries to extract data and insights combining datasets within Kuiper with publicly available datasets- Design, build, and maintain automated reporting, dashboards, and recurrent analysis in support of data driven decisions across North America Consumer Operations and Lifecycle Management teams- Identify opportunities for automation to accelerate insight generation- Analyze and create visualization of large geospatial data to drive subscriber growth strategies- Leverage Amazon systems and tools to effectively work with, process, and analyze large datasets- Deliver comprehensive, written strategy documents considering different types of data and inputs across a broad range of stakeholdersExport 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.BASIC QUALIFICATIONS- 5+ years of professional or military experience- 4+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing, and building data pipelines ...

Amazon Ads operates at the intersection of e-Commerce 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. Amazon DSP is Amazon’s programmatic advertising product for campaigns spanning Video, Audio and Display across Amazon properties (e.g., Amazon.com, Freevee, Twitch, Fire TV, and Amazon Music) and tens of thousands of third-party websites and apps. We start with the customer and work backwards in everything we do, including advertising. If you’re interested in working to build a unique, world-class advertising offering with a relentless focus on the customer, you’ve come to the right place.A successful candidate will have a passion for data and analytics, knows and loves working with BI tools, is comfortable accessing and working with big data from multiple sources, and can partner with internal stakeholders to help drive the business. They will have a deep knowledge of business intelligence solutions, possess excellent statistical and analytical abilities, and have the ability to work with technology, product development, and business teams. They 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 driven by a desire to innovate.Key job responsibilities- Partner with Product teams to understand the business requirements and implement solutions to support product plans.- Design, develop, and maintain scalable, automated, user-friendly systems, reports, and dashboards enabling stakeholders to manage the business and make effective decisions.- Implement training and documentation solutions that enables stakeholders to get the most out of our self-serve analytics tools.- Develop and support the analytical technologies that give stakeholders timely, flexible, and structured access to their data.- Define, develop, and maintain critical business and operational reports reviewed on a weekly, monthly, quarterly, and annual basis.- Analyze historical data to extract meaningful insights from large and complex data sets to identify trends and support decision making, including written and verbal presentation of results and recommendations.- Conduct ad hoc data analysis and data quality investigations.BASIC QUALIFICATIONS- 5+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience with theory and practice of design of experiments and statistical analysis of results- Experience working in ad tech ...

The Inventory Trust team within Selling partner Identity verification is responsible for the detecting and preventing bad actors and their inventory from reaching to our customers. We own different programs to stop bad actor inventory from coming into our FCs and reaching it our customers. We achieve this by using advanced analytics , ML Modeling, risk mining and working with partner teams. We are talented team of risk, program, product and data analytics experts.We are looking for passionate, innovative, organized, and results-oriented Business Analyst II to support on its analytics roadmap. The Business Analyst II is responsible for driving deep insights to economically disrupt bad actor activities. 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 product managers, program managers, Risk/Operations managers and BIE/DE and scientists 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 business 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. BASIC QUALIFICATIONS- 3+ years of tax, finance or a related analytical field 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 ...

The North America Transportation team is seeking a Business Intelligence Engineer II (BIE) to focus on sustainability initiatives. As the first BIE dedicated to this area, you will play a crucial role in developing data visualization tools and recommending improvements to build a more resilient and sustainable transportation network.Success in this role requires strong analytical skills combined with the ability to effectively communicate and influence change across different business functions. You will need to translate complex data into actionable insights and persuasively present recommendations to diverse stakeholders.Key job responsibilities- Analyzing large datasets to identify opportunities for sustainability improvements in transportation operations- Developing data visualization dashboards and reports to track sustainability metrics and performance- Collaborating with cross-functional teams to understand business needs and translate data insights into actionable initiatives- Presenting data-driven recommendations to leadership and influencing decision-making around sustainability strategies- Staying up-to-date with industry trends and best practices in sustainable transportation and data analyticsBASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

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

We are looking for an experienced and enthusiastic data engineering and insights professional with a proven track record of delivering influential solutions to complex and ambiguous problems. A practiced researcher, who uses data engineering, statistics, systems knowledge, and data visualization to guide decision making for cross-functional leadership teams. We are seeking a collaborative individual who can think holistically through multidimensional problems to understand how systems work together to identify and execute both tactical and strategic projects which drive improvements to robotic architecture or design.Key job responsibilitiesIn this role, you will support Amazon's newest robotic technologies through their Alpha, Beta, and General Availability phases. A day in the lifeYou will collaborate cross-functionally with engineering teams, program managers, and leaders throughout the organization to deliver projects aimed at characterizing and improving the performance of new robotic automation technology in Amazon's network of warehouses. In this role, you will use a combination of unified and disparate data sources to uncover insights delivered through decision-driving analytics white-papers and automated data visualizations to influence the development and deployment of cutting edge robotic technology. You will collaborate with Data Scientists, Data Engineers, and Program Managers to define and deliver world class analytics tools and insights to shape the robotic technology landscape.Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) 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 teamThe Amazon Robotics Business Intelligence, Analytics, and Data Science team discovers insights in vast and varied robotic data to support decision-making for engineering and operations customer teams. We collaborate with designers, software and hardware engineers, and operations teams to understand system performance, make feature and design trade-offs, and inform decisions on new applications of Amazon Robotics technology. We conduct relevant, insightful analysis and communicate the results through white papers and data visualizations. Our methods include design of experiments, statistical modeling, machine learning, financial analysis, and data visualization.BASIC QUALIFICATIONS- 8+ years of professional or military experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with AWS technologies- Experience with theory and practice of information retrieval, data science, machine learning and data mining- Experience with theory and practice of design of experiments and statistical analysis of results- 5+ years of SQL experience ...

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 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- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)- Experience with scripting language (e.g., Python, Java, or R) ...

The GTMC SIERRA (Science, Insights, Experience, Research, Reporting & Analytics) organization is seeking a talented and experienced Business Intelligence Engineer (BIE). This role involves collaborating with various teams within GTMC and across other Amazon teams to enhance the Manager Hub platform and product experience. You will contribute to projects spanning Applied Science, Front End, and Backend engineering disciplines. As a member of the engineering team responsible for the development and maintenance of the Manager Hub platform, your responsibilities will include measuring the efficacy of features, adoption, engagement, and strategic program initiatives. In your role as a BIE, you will play a crucial part in automating and building dashboards, as well as standardizing and scaling complex data tasks.A successful candidate will have a passion for business and data analytics and a deep knowledge of business intelligence solutions. The individual will have experience working with diverse groups of stakeholders, gaining expertise in their data and metrics, and translating their business needs to technical solutions. The individual will have the ability to work in a fast-paced environment, and a desire to innovate, fail fast, learn, iterate and improve.Key job responsibilities· Work with stakeholders to understand their needs and design reporting and automation solutions that will exceed expectations.· Build detailed understanding of Manager Hub processes and how they map to data.· Work with a variety of data sources and large data sets, extract data using efficient query. .development and provide a holistic and consistent view of the data.· Actively drive automation and scaling of data processes and create self-service tools.· Build knowledge of the latest tools and technologies to help deliver flexible and scalable solutions.· Partner with data engineering teams to adapt data infrastructure to requirements.· Actively manage the timeline and deliverables of projects, anticipate risks and resolve issues.About the teamGlobal Talent Management & Compensation (GTMC) SIERRA (Science, Insights, Experience, Research, Reporting & Analytics) is a horizontal, multi-disciplinary organization whose mission is to be a force multiplier for the broader GTMC organization and our key customer cohorts. We accomplish this by using our expertise in data analytics and science, economics, machine learning (ML), UX, I/O psychology, and engineering to build insights and experiences that raise the bar in understanding and shaping decision making at scale by integrating within and across talent journeys as well as through self-service tools and closed loop mechanisms outside of those journeys. Our portfolio of products spans foundational data sources, metrics, and research through to finished features and products that our end-customers interact with on a daily basis.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 ...