Business Intelligence

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 ...

Have you ever ordered a product on Amazon and when that box with the smile arrived, wondered how it got to you so fast? Wondered where it came from and how much it cost Amazon? If so, the Amazon Global Supply Chain Optimization Technologies organization is for you. Watch this video to learn more about our organization, SCOT: http://bit.ly/amazon-scotThe Amazon SCOT organization is expanding our Direct Fulfillment (dropship) business and we are looking for a Senior Business Intelligence Engineer to join the team. Direct Fulfillment helps provide Amazon customers the broadest in-stock selection, at the quality and speed of delivery they have come to expect from Amazon at the best possible cost structure for Amazon. Direct Fulfillment allows Amazon to fulfill customer orders directly from our vendor’s warehouse and is one of the fastest growing supply channels at Amazon. The ideal candidate relishes working with extremely large volumes of data, enjoys the challenge of highly complex technical contexts, and above all, is passionate about data and analytics to impact business decisions. They should have strong analytical skills, independently blend data from multiple sources, drive consensus and connect business to data. They must also be passionate about partnering with the data scientists, business analysts and other business stakeholders & dive deep to identify root causes and provide actionable insights.They should be comfortable with technologies like EMR, Redshift and have ability to author complex dashboards that enable business to cut through noise. They should be a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail), excellent communication skills and enjoys working in a fast-paced and global team.Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation / AgeKey job responsibilities- Deep dive into operations execution and business problems, use analytical and statistical rigor to identify trends and opportunities to driv data-driven decisions- Improve business results through creating best-in-class metrics, analysis, visualizations, and data-driven storytelling- Adopt best practices in reporting and analysis: data needs, data integrity, test design, analysis, validation, and documentationBASIC QUALIFICATIONS- 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)- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience ...

Project Kuiper is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Project Kuiper will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity.The Sr. Business Intelligence Engineer, Kuiper Marketing, will bring a mixture of advanced data management, analysis, modeling, and dashboarding skills. The ideal candidate will use data-driven methods to answer business questions and play a key role in the development of our marketing measurement infrastructure. The right person in this role will be able to deal with ambiguity and take the lead in defining frameworks where no prior examples exist. They will be an ambitious self-starter with the ability to operate independently and thrive in a fast-paced environment. Demonstrated ability and willingness to roll up sleeves and execute to get the job done will be key to success in the role. Key job responsibilities- Create and maintain complex queries and data pipelines.- Extract data for analysis and model development from large, complex datasets to address business questions.- Develop dashboards and visualizations that incorporate decision science to inform business decision-making.- Partner on the development of marketing measurement models and bring to production.- Apply advanced analytics to evaluate the causal impact of marketing on customer attitudes and behaviors.- Collaborate effectively with business partners and team members to align data business intelligence efforts with strategic goals.Export Control Requirement:Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.BASIC QUALIFICATIONS- 5+ 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 ...

The Supply Chain Optimization Technologies (SCOT) organization owns Amazon’s global inventory management systems: we decide what, when, where, and how much we should buy to meet Amazon’s business goals and to make our customers happy. We do this for millions of items, for hundreds of product lines worth billions of dollars of inventory world-wide. Our systems are built entirely in-house, and are automated large-scale business operations, inventory and supply chain planning and optimization systems. We foster new game-changing ideas, creating ever more intelligent and self-learning systems to maximize the efficiency of Amazon's inventory investment and placement decisions. The Automated Inventory Management team within SCOT seeks an experienced and motivated Business Intelligence Engineer to develop analytical models and tools to automate the auditing of the SCOT systems. Such tools may include algorithms, metric bridges, dashboards, processes and workflow systems. The successful candidate will have strong quantitative data mining and modeling skills and be comfortable working on new and sometimes ambiguous problems from concept through to execution. They will have strong communication and leadership skills, will be able to collaborate with other teams (e.g. software development, business owners, product managers) and to present findings to senior audiences to drive business improvements. As well we expect this candidate to raise the bar on any of the following categories: Data Warehousing, Data Architecture, Performant Self Service Toolsets and Data analytics. Candidate might be willing to work with the others BIEs in order to solve organizational problems at scale and setting the grounds of a healthy data products offer while delivering what is required by business. Key job responsibilities- Performing complex analysis to understand the behavior of automated inventory management systems, identify the root cause of system / process issues and provide insight on potential solutions. - Building audits (analytical products) to identify trend breaks or defects at scale for millions of products and multiple Marketplaces globally - Assessing the end-to-end suite of audits and identifying opportunities for enhancements and simplification, working with other audit owners - Creating new solutions to automate the business process of identifying and resolving defects (e.g. through metric dashboards and automated alarms, self service dashboard, Single source of truth tables) - Supporting the improvement of the automated audit workflow system: integrating new audits and providing input on the future developments/roadmap - Developing dashboards and insight products - Fostering culture of continuous engineering improvement through blueprints, mentoring, feedback, and metricsBASIC QUALIFICATIONS- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.- 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- Experience in the data/BI space ...

As a Data Engineer on the team, you 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.Your ownership of the scoping and design of new metrics and enhancement of existing ones will help support the future state of business processes and ensure sustainability. You will communicate complex analysis and 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 delight our customers. This position will support our expansion to other geographies.Key job responsibilities- Work closely with business managers and stakeholders to understand business issues and recommend solutions to ensure business questions are properly answered- Understand trends related to Amazon business and recommend strategies to stakeholders to help drive business growth.- Reporting of key insight trends, using statistical rigor to simplify and inform the larger team of noteworthy story lines.- Respond with urgency to high priority requests from senior business leaders.- Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations that will help shape the direction of the business.- Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.- Ensure data accuracy by validating data for new and existing tools. Learn and understand a broad range of Amazon’s data resources and know how, when, and which to use and which not to use.- The ideal candidate actively seeks to understand Amazon’s core business values and initiatives, and translates those into everyday practices.BASIC QUALIFICATIONS- 5+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Ability to convert ideas in to code efficiently in a programming language. ...

Are you looking for a role that allows you to shape the future of how sellers sell their products globally with Amazon? Do you like working in a start-up like environment with the opportunity to have a significant impact from day 1? Do you have an insatiable curiosity about why Amazon global stores operate as they do and how Amazon could optimize its global selling business? If so, then keep reading as this could be the role for you.Over 2MM active sellers in 22 countries (and growing) list their products for sale on the Amazon stores. Sellers are a critical part of Amazon’s ecosystem to deliver on our vision of offering the earth’s largest selection and lowest prices. Key job responsibilitiesAs a Business Analyst on Listing Analytics team, you will be responsible for bringing data to the table, specifically seller anecdotes and business metrics. The ideal candidate thrives in working in large and complex data warehouse environments, has excellent verbal and written communication skills, is motivated by developing innovative and simplified solutions to solve complex analytical problems and is passionate about working with large data sets and bringing data together to answer business questions and drive change. These analyses and solutions will be fundamental to finding opportunities and creating new programs aimed at further growing on Amazon stores. In this role you will:• Engage with leadership and diversified customer groups to understand the needs and recommend business intelligence solutions.• Partner with engineering teams to define the data elements and data structures that the team should leverage to develop critical seller experience metrics.• Design, implement, and support platforms that provide business teams ad-hoc access to large datasets for self service deep dives (eg: data visualization tools for non-tech business users)• Interface with business customers, gather requirements and deliver complete reporting solutions.• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.• Participate in strategic & tactical planning discussions• Standardize data and report consumption across all customer groups.• Make recommendations for new metrics, techniques, and strategies to improve the operational and quality metrics.• Be connected and influential within the Amazon analytics community. Work with business intelligence engineer, data engineering, software development teams to enable the appropriate capture and storage of key data points.BASIC QUALIFICATIONS- 1+ years of tax, finance or a related analytical field experience- 2+ years of complex Excel VBA macros writing experience- Bachelor's degree or equivalent- Experience defining requirements and using data and metrics to draw business insights- Experience with SQL or ETL- Experience making business recommendations and influencing stakeholders ...

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

We are looking for motivated BIE to join the Amazon Global Cross Border Selection Team. This is an exciting opportunity to develop analytical insights and work directly with business and product leaders for a new business program.Amazon Global is pioneering cross-border e-commerce by becoming a one-stop shop for Amazon customers worldwide, providing a seamless experience to shop international selection. Selection is a key input driver for this business and we are looking for a dynamic, organized and self-starting BIE candidate to take on a critical role in developing cross border selection reporting and analytics for one of Amazon’s fastest growing businesses.Our team is comprised of product, program, and tech managers who own the end-to-end strategy and execution of growing selection offerings for worldwide customers. The optimal candidate will own the reporting and analytics for managing local compliance requirements worldwide. As a Business Intelligence Engineer, you will work with our Business and Product Teams to create automated and scalable analytical tools critical for driving growth and expansion of the business. This includes building the infrastructure for regular reporting on business and production selection data and diving deep to uncover insights that will impact selection expansion decisions. You will leverage data to provide key data-driven insights, enable new analyses, and innovate on behalf of our business customers.Key job responsibilities· Own, design, develop, document, and manage scalable solutions for new and ongoing metrics, reports, analyses, and dashboards to support business needs. · Generate actionable insights through the development of metrics, dashboards and deep dive analyses. · Serve as a technical, business-metrics specialist and insight provider in the organization. · Act as a key interface between our business customers and technical divisions. · Leverage extensive data sets to derive strategic insights that shape business decisions on content spend. · Present insights to senior stakeholders in Product and Business Teams. · Work in a fast paced, global environment, across various functional teams.BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

Amazon Ads is Hiring! Amazon Advertising is dedicated to driving measurable outcomes for brand advertisers, agencies, authors, and entrepreneurs. Amazon Advertising seeks the world's brightest and best talents to lead next-generation solutions that enable advertisers to reach customers across our owned and operated sites, on other high-quality publisher sites across the web, and on millions of desktops, mobile, and connected TV devices. We start with the customer and work backwards in everything we do, including Advertising. We seek candidates who want to join a team focused on building large-scale systems that integrate across multiple sources to provide unique advertising products. These products will provide sales enablement to the sales team to drive advertisement business’s growth. As a Sr.Business Intelligence Engineer, you will mine large amount of data, build metrics and drive customer adoption. You will play a leadership role in our team – the team will look to you for advice on analytical and business problems. You will work closely with customers, product managers, and engineers to drive automated analytics, reporting and decision making. If you love working with huge data sets and delivering the insights you discover through business intelligence reporting, then this is the job for you. If you enjoy dealing with high ambiguity, complexity and broad scope that will be at the epicenter of our initiative, come join us!What does it take to succeed in this role? Excited by the scale at which we work. A roll-up-your- sleeves attitude. You should be a self-starter who loves working with Business Intelligence tools and thrives on dealing with the intricate complexity of large data sets. You are analytical and creative and you don’t quit.Key job responsibilities• Analyze data to find actionable insights that lead to business insights and opportunities.• Build dashboards and custom reports to track performance and investigate key business questions.• Engage with diversified customer groups to understand their needs and deliver business intelligence solutions.• Partner with Data engineers to define the data elements that the team should leverage to enable capabilities.• Recommend new metrics, techniques and strategies to improve the operational and quality metrics.• Recognize and adopt best practices in reporting and analysis: data integrity, validation, and documentation.A day in the life• Empathize with the customer and understand their problems and needs.• Dive deep to find the root cause of the problem and suggest solutions (short/mid/long term).• Perform benefits and tradeoff assessment to assess the best solution considering the timeline and available resources.• Collaborate with the tech team and bring the solutions to life (build world class products).• Participate in the tech discussion and ensure that the product is scalable and sustainable.• Connect with the customer throughout the product lifecycle and ensure we exceed their expectation.About the teamHighly cross functional team that has product managers, business intelligence and full stack engineers who collectively collaborate to solve the problems faced by customers. We thrive by brainstorming and bouncing off solutions that transform the lives of our customers.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 ...

Account Health Support is looking for a highly analytical and result-oriented Business Analyst Manager to help build/enhance support for Amazon sellers in a global contact center environment.The ideal candidate works effectively in a cross-functional environment and is comfortable communicating with both technical and business stakeholders. This person uses data to guide decision-making, has strong business judgement, and can think creatively about new opportunities. This position will partner with program teams that enable operations and eliminating defects that lead to a negative policy experience for sellers. They will need to partner with global operations leads to align design, development, and maintenance of metrics, reporting, analysis and dashboards.Key job responsibilitiesResponsibilities of this position include:• Hire, manage, and coach a team of Business Analysts.• Strong leadership, vision and passion to build and drive a Business Analytics team to create changes in business partnerships, analytics, and metrics/reporting.• Drive the design, development and implementation of our Operations analytics to provide stakeholders with structured access to data.• Champion proper adoption of self-service analytic tools and reporting environments.• Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards that monitor and to drive key business decisions.About the teamAccount Health Support (AHS) is a global team that provides Selling Partners with empathetic support while addressing their account health and compliance concerns.BASIC QUALIFICATIONS- Bachelor’s degree in Finance, Business, Technology, or a similar discipline with analytical bias- 6+ years of relevant work experience as a business analyst, financial analyst, or similar position requiring analysis including the use of SQL, Python or similar. - 4+ years of experience using data driven analytics to support business decisions- 4+ years of people management experience, analysts or similar technical positions- Advanced proficiency with Microsoft Office (Word, Excel, and PowerPoint)- Experience with business intelligence and data visualization and reporting tools (e.g. Tableau, Quicksight) ...

Do you want to help drive growth and engagement with one of Amazon’s most important businesses? Do you enjoy using data and analytics to deliver actionable insights that support critical business decisions?Amazon seeks an experienced business analyst to be a key member of the Lead Central Program and Operations (LCPO) Team. This is an exciting opportunity to support and influence global lead generation strategy, tech, and operations.As a Business Analyst, you will partner with Tech, Program, Operations, Sales, Marketing, Finance, and analytical professionals to provide data and insights that influence and support critical business decisions. The successful candidate will have shown experience in past roles influencing business owners and supporting decision making in rapidly evolving environments. This role requires a self-starter with strong modeling skills, a keen attention to detail, and an ability to manage multiple projects across several stakeholders effectively. This role also has regular interaction with various businesses and requires strong interpersonal and communication skills.Key job responsibilities* Serve as the key business performance partner working directly with Tech, Product, Sales, Program, and Operations across US teams* Develop, launch, and optimize business performance mechanisms* Deliver data, analysis, insights, and recommendations to help shape product development and rollout strategies* Lead business performance analysis and reporting, including preparation of weekly, monthly, and quarterly business reviews* Partner with Business, Sales , Marketing, and Finance leaders to provide data-driven insights and recommendations that influence business decisionsA day in the life* Working closely with product, tech, and operations leaders on analytical projects* Writing SQL queries and creating business intelligence reports.* Owning deep dives to answer business critical questions* Defining requirements and using data and metrics to draw business insights* Excel* SQL/PL SQL* QuickSight* ETLAbout the teamLead Central is a piece of technology used to generate leads at scale across Amazon. The LCPO team is the Program and Operations element of Lead Central. LCPO productinoalizes Lead Central, and in doing so generates learnings and feature recommendations that shape the future product roadmap of Lead Central. LCPO sits at the intersection Product, Tech, Sales, Operations, Marketing, and Program and therefore gets broad exposure to these business segments which keeps things interesting and provides ample growth opportunities for all on the team.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 ...

Amazon seeks a Business Intelligence Engineer with strong technical, analytical, and business intelligence skill sets and experience to be a key partner for Amazon’s Advertising business focusing on amazon.com across all ad programs. This role will be the key contributor supporting the APM (Advertising Publisher Monetization) Stores business. The person will build out the business insights, analysis practice, and data infrastructure for APM Stores stakeholders, gaining visibility across Ads, Retail, and Finance organizations. We generate insights to guide product and partner strategy, and we provide direct business strategy support to senior leaders. We are motivated to improve overall Stores experience for both our advertisers and shoppers through Ads. As a key analytics partner, the Business Intelligence Engineer will influence the direction of the business by leveraging our data to deliver insights that drive decisions and actions. This role involves translating broad business problems into specific analytics projects, conducting deep quantitative analyses, and communicating results effectively. We see a high potential for growth in this role as we transform our data into actionable insights to continue to fuel the growth of this business. The role will help the organization identify, evaluate, and evangelize new techniques and tools to continue to improve our ability to deliver value to Amazon’s Customers. This role requires an individual with excellent business, communication, and technical skills, enabling collaboration with various functions, including Product Managers, Data Engineers, Finance Managers, Software Engineers, Data Scientists, as well as senior leadership. The successful candidate will be a self-starter comfortable with ambiguity and complex datasets and business problems. The person has strong ownership and an ability to work in a fast-paced, ever-changing, and high-energy environment.Key job responsibilities- Explore and deep dive into new areas across various ad programs as well as business functions to support business decision making- Design, develop, build, and maintain scalable data solutions, including infrastructure, pipeline, reporting, to support long-term business strategies- Simplify and re-invent current data solutions to support the business scope expansion- Translate business problems into data questions, find solutions to solve those questions with resourcefulness- Present analytical findings and recommendations to business leadership- Work cross-functionally with other teams in various job families to gather data sources to provide a comprehensive view of the business, inclusive of supply, demand, sales, operations, shopper, etc. - Recognize and adopt best practices in reporting/analysis: data integrity, test design, analysis, validation, and documentationThis role promises to give exposure to a high growth business. This BIE will be actively involved in building new metrics, understanding impact of product changes, and identifying opportunities for growth through exploratory analyses including use of lightweight statistical techniques. This role provides the opportunity to explore emerging technologies such as machine learning to build models and tools used by management for strategic decision making.About the teamThe APM Advertising Finance team supports various publishers, including Stores, Amazon Business, Books, Grocery/Physical Store, Devices, Video, Audio. Our focus is to accelerate top-line revenue and improve profitability by evaluating overall ad supply monetization and utilization, product feature or sales package adoption, campaign performance, and other various product drivers of growth. BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data modeling, warehousing and building ETL pipelines- Experience writing complex SQL queries- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience with data visualization using Tableau, Quicksight, or similar tools- Knowledge of SQL and data warehousing concepts ...

Do you want to play a crucial role in the future of Amazon's retail business by building data analysis systems that enable data driven decision-making at the largest scale possible?The Promise team sets the expectation of when customers’ items will arrive. The delivery promises we make are key drivers of customer behavior and influence the short and long-term profitability of Amazon’s global retail business. We serve as the interface between customer expectations and Amazon's industry-leading fulfillment capabilities. We are part of the Supply Chain Optimization Technology (SCOT) Group that develops and manages systems that optimize inventory acquisition and placement, so products are available for fast delivery. (For more information on SCOT, see this short video: http://bit.ly/amazon-scot.) Successful members of the Promise team are customer obsessed, flexible, and collaborative team players who enjoy working across functions and organizations to solve problems and get results. They ask hard questions and build solutions that provide the critical business insights needed to influence decision-making across retail and operations teams. They find timely answers buried in large data sets and complex systems, identify root causes, and get their hands dirty building data systems and sharing insight.The Promise team is seeking a Business Intelligence Engineer with broad technical and analytical skills to develop the data analysis systems we use to make decisions to optimize delivery promises for Amazon's customers worldwide. As an Amazon Business Intelligence Engineer, you will be working in one of the world's largest and most complex data warehouse environments. You will work on analytics, visualization solutions, and other Business Intelligence applications used by researchers, engineers, and management across multiple departments. You should be reliable at designing, implementing, and operating stable, scalable, low-cost solutions that analyze data from production systems into end-user facing applications. You should have deep expertise in the design, creation, management, and business use of extremely large datasets. You will need excellent business and communication skills to work with researchers and business owners in a fast-paced environment to develop and define key business questions and requirements. Above all, you should be passionate about working with huge datasets and analytics tools to provide insight into how the business is running and enable business decisions to be data driven. Key job responsibilities· Defining, developing and maintaining critical business and operational reports reviewed on a weekly, monthly, quarterly, and annual basis· Transform complicated business problems into mathematics modeling and provide data-driven solutions· Analysis of historical data to identify trends and support decision-making, including written and verbal presentation of results and recommendations· Collaborating with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of machine learning and econometric models· Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation.· Mining and manipulating data from database tables, simulation results and log files· Identifying data needs and driving data quality improvement projects· Understanding the broad range of Amazon’s data resources, which to use, how, and when.A day in the life· Routinely performs and presents deep dives and anecdotes to gain more granular understanding of why a promise occurred and whether there are gaps in fulfillment systems which, if resolved, could speed up delivery. Build logic to attribute these root causes at large scale and put together underlying data pipeline to make this information available for metricizing and accessible for other teams within Amazon.· Regularly reviews the promise metrics for putting together callouts for weekly business reviews by performing ad hoc analysis and reaching out to appropriate teams to get further understanding of the issue. Another part of this exercise is to track and callout negative trends which need more attention from the leadership, identify the root cause(s), and recommend next steps to resolve the issue.· Works cross-functionally with various teams in Fulfillment Optimization organization to understand how they interact and affect the order fulfillment process and identify system gaps which could impact promise speed. They continue to resolve the gap by working closely with software teams to design and implement solutions to address these gaps and develop metrics to track it going forward.About the teamPromise Insights team in Austin develops and manages various critical services for customer delivery promise to improve our ability to analyze, understand, forecast, and modify promise behavior with a predictable result. The team owns the Promise data pipeline which captures relevant data from Promise services; Promise Analytics Platform and Web tools like Promise Viewer provide meaningful insights to stakeholders (PMTs, RSs, BIEs, Economists, and SDEs) for data-driven decision-making. We also use that data to run simulations to help answer business-critical questions; e.g., what is the impact on delivery promises and Amazon business if we had infinite inventory in every warehouse? Simulation plays a key role in enabling teams to achieve their business goals by identifying and sizing opportunities for increased profitability through cost savings and customer experience improvements. Simulations also provide insight into promise speed variants and the factors that impact them.The team is currently focused on evolving our capabilities into platforms that can be used across the company as well as expanding our Tools to not just present existing data, but to analyze that data against other systems to preemptively answer questions around what caused deviations in expected behavior.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- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business ...

Are you looking for an opportunity to own a large-scale technology problem? Do you enjoy finding patterns and pushing the boundaries of current possibilities? Are you interested in building reliable and scalable systems that support Amazon's growth? If so, Amazon Devices and Services Finance Technology (FinTech) is the perfect place for you!ABOUT THE TEAMAmazon Devices and Services FinTech is the global team that designs and builds the financial planning and analysis tools for a wide variety of Devices` new and established organizations. From Kindle to Ring and even new and exciting companies like Kuiper (our new interstellar satellite play), this team enjoys a wide variety of complex and interesting problem spaces. They are almost like FinTech consultants embedded in Amazon.ABOUT THIS ROLEThe Amazon Devices and Services FinTech team is expanding our data science team that is building a forecasting solution for the Amazon Devices and Services Finance organization, and we are looking for a Data Scientist to join us.As a data scientist, you will dive deep into data from across Amazon's finance organization, extract new insights, drive investigations and algorithm development, and interface with technical and non-technical customers. You will leverage your data science expertise and communication skills to pivot between delivering science solutions, translating knowledge of finance and operational processes into forecasting models, and communicating insights and recommendations to audiences of varying levels of technical sophistication in support of specific business questions, root cause analysis, planning, and innovation for the future.Key job responsibilities- Create various forecasts, including but not limited to Operational Expenses, and drive adoption of these forecasts by various teams within Amazon for financial and operations planning- Continuously innovate through research and the application of the latest machine learning techniques to drive forecasting accuracy improvement- Perform exploratory data analysis to identify business opportunities and develop a plan to address them- Communicate verbally and in writing to business customers with various levels of technical knowledge, educating them about our systems, as well as sharing insights and recommendations- Build customer-facing reporting tools to provide insights and metrics which track forecast performance and explain variance- Utilize code (Python, R, Scala, SQL, etc.) for analyzing data and building statistical and machine/deep learning modelsA day in the lifeIn a typical day as a data scientist at Amazon FinTech, you'll begin by delving into complex datasets, applying your technical expertise in feature engineering and exploratory data analysis to uncover valuable insights. You'll utilize both traditional time series forecasting techniques as well as more advanced machine learning algorithms to build accurate and reliable forecasting models that solve complex business problems like Operational Expense (OpEx) Forecasting. Collaboration with business, engineering, and partner teams is essential, as you'll translate your data-driven forecasts into actionable insights that align with strategic goals. Throughout the day, you'll innovate by adapting new forecasting methods, ensuring your solutions are stable, scalable, and fault-tolerant. Your strong communication skills and attention to detail will help you manage and integrate large datasets, solve unstructured problems, and drive projects to completion in a fast-paced, dynamic environment.Join us and be a part of our dynamic team, driving the future of financial technology at Amazon.BASIC QUALIFICATIONS- Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science- 3+ years of data scientist experience- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience- Experience applying theoretical models in an applied environment ...

The NCRC (Net Cost of Refunds and Concessions) team within Returns & Re-commerce focuses on ways we can preserve and create customer value while increasing the velocity of Amazon's cost flywheel. We are constantly innovating to create long-term value at Amazon by investing in the future and focusing on the planet, not just on the bottom line. WW R&R includes business, product, program, operational, and software engineering teams, who together manage the lifecycle of returned and damaged products.As a Senior Business Intelligence Engineer (Sr. BIE) on the NCRC team within Amazon Returns and Re-commerce, you will be a part of the Science and Analytics team collaborating with a group of Analysts, Economists, PMs and other Engineers. You will have an opportunity to participate and innovate across the engineering landscape, starting from ingestion, storage, processing and reporting. You will build complex data solutions that integrate with cross-organizational systems, enabling our team to scale and build self-serve BI tools. You will partner closely with analysts and economists in the pursuit of investigative data. You will participate in business reviews and new-initiatives. You should be able to identify and help close gaps in the information available, as well as predict up-and-coming -needs when participating in discussions about new products or features.A successful Sr. BIE will be highly collaborative and organized, capable of prioritizing multiple deliverables and effectively communicate progress and blockers. You should feel comfortable working across multiple systems and AWS technologies, and be capable of participating in and understanding how multiple systems communicate information to one-another.We are a new team at Amazon and this is a great opportunity to be on the leading edge. Come join us and innovate with the Amazon NCRC team!Key job responsibilities-Owning the design, development and maintenance of scalable data solutions for ongoing metrics, reports, analyses, dashboards, etc. to support analytical and business needs.- Recognize and adopt best practices in reporting and analysis: data integrity, design, analysis, validation, and documentation.- Use analytical and statistical rigor to answer business questions and drive business decisions.- Find and create ways to measure the customer experience to drive business outcomes.- Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.- Write queries and output efficiently, and have in-depth knowledge of the data available in area of expertise. Pull the data needed with standard query syntax; periodically identify more advanced methods of query optimization. Convert data to make it analysis-ready.- Troubleshoot operational data-quality issues.- Review and audit existing ETL jobs and queries.- Recommending improvements to back-end data sources for increased accuracy and simplicity.BASIC QUALIFICATIONS- 10+ years of professional or military experience- 5+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience with theory and practice of design of experiments and statistical analysis of results- Experience with AWS technologies- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with theory and practice of information retrieval, data science, machine learning and data mining ...

Do you enjoy solving complex business problems, transforming data into insights, and using data to drive product decisions? In this position, you will directly support the creation of a global product that evolves the support experience for our Selling Partners. Data driven approach is at the core Amazon’s culture, and your work will have a direct impact on decision making and strategy for our team. You will work closely with product managers, SDEs, data engineers, operations teams, and senior management to define new metrics and project requirements and provide inputs towards defining solutions to business problems. You will learn and understand our global operations, database infrastructure, and existing system functionalities. After establishing this knowledge, you will need to develop a robust set of metrics and reporting solutions to help uncover opportunities, prioritize fixes, and influence leadership to help drive investments that reduce waste. Some of these metrics do not exist, requiring critical thought and data/metrics design. This will include complex analytics, mapping systems and datasets together, developing scalable reporting solutions, and producing narratives/documents outlining key insights and trends meant to drive investment as well as measuring the efficacy of solutions implemented over time to attribute success and impact. You'll build sustainable, scalable and automated analytics that help the organization understand opportunities for efficiency and performance improvements. With stakeholders across multiple teams, there will be frequent opportunities to influence significant decisions. RESPONSIBILITIES- Deep dive into large data sets to answer key business questions using SQL, Excel, and other data manipulation languages- Systematically identify data sources, perform analysis and build data pipelines to influence product roadmaps based on business problems.- Operate with significant autonomy to deliver results and achieve the goals and objectives of both your team and the broader organization.- Communicate complex insights to stakeholders, both verbally, in writing and through visualization and dashboards- Perform complex data research identifying opportunities to improve the effectiveness of our support mechanisms and provide analytical recommendations to business teams.A day in the lifeYou will work closely with product, program, and tech teams in order to stay connected to the ongoing feature launch roadmaps. The Selling Partners Support ecosystem is constantly evolving and our analytics systems must be maintained and adapted to ensure our measurement strategy and reporting mechanisms accommodate these changes. You will build a variety of analytics and visualization solutions to support our product features. You will autonomously perform deep dives, uncovering new trends/areas that may need attention. You will also work closely with our product team to help design experiments and look for new opportunities.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- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders- Experience with Excel ...

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

Do you want to join one of the most exciting teams at the world's most customer-centric company? Then come soar with Amazon Global Air (AIR)! AIR is a worldwide, customer-obsessed transportation provider of choice that safely delivers low cost, high quality service. AIR realizes this vision through a talented, inclusive, and diverse team, leveraging innovative technologies and a sustainability-aware mindset.​ Our AIR Data, Analytics and Business Intelligence team's fuels AIR's success through data driven decisions. We empower AIR business with actionable insights, advanced analytics, and strategic foresight. By leveraging data as a strategic asset, we enable agility, uncover new opportunities, deliver trusted intelligence, and delight our customers.We are looking for an experienced, innovative, and strategic Business Intelligence Engineer (BIE) who will be comfortable diving into complex problems and using data to recommend business decisions. The ideal candidate will be a self-starter, highly analytical, and intensely detailed with a strong customer focus and perspective to drive strategy in a high-growth, fast-paced environment.This role will partner closely with the business teams to understand the data-needs of the team and ensure that the business teams are able to answer hard questions with real data. This individual will participate in business reviews and new-initiatives. They should be able to identify and help close gaps in the information available, as well as predict up-and-coming data needs when participating in discussions about new products or features.Key job responsibilitiesData Collection and Integration:- Gather data from various sources (databases, APIs, files, etc.)- Design and implement data integration processes- Ensure data quality and consistency across systemsData Modeling and Optimization:- Implement ETL (Extract, Transform, Load) processes- Write complex SQLs to convert raw data to meaningful metrics- Optimize SQLs for improved performanceReport and Dashboard Development:- Design and create reports and dashboards using BI tools (e.g., AWS QuickSight, Tableau, Power BI, Looker)- Develop interactive visualizations to present data effectively- Ensure reports are accurate & user-friendlyData Analysis:- Conduct exploratory data analysis to uncover insights- Develop and implement statistical models and algorithms- Perform ad-hoc analysis to answer business questionsCollaboration and Communication:- Work closely with stakeholders to understand business requirements- Translate business needs into technical specifications- Present findings and insights to both technical and non-technical audiencesData Governance and Security:- Ensure data security and compliance with regulationsContinuous Improvement:- Stay updated with the latest BI tools and technologies- Automate processes where possible to increase efficiencyDocumentation and Training:- Create and maintain documentation for data models, processes, and reports- Provide training and support to end-users on BI tools and dashboardsProblem-solving:- Troubleshoot data discrepancies and technical issues- Develop solutions to complex data-related problemsData Strategy:- Contribute to the organization's overall data strategy- Identify opportunities for leveraging data to drive business valueBASIC 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 writing complex SQL queries- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Bachelor's degree in Computer Science or Engineering ...

Are you passionate about improving the quality of Selling Partner experience? Do you strive to create customer-centric solutions that drive measurable results? Do you like to design and implement scalable end-to-end solutions built on sound process excellence principles? Does working with ambiguity, data and using analytics to guide program strategy and improvement plans sound exciting? If so, the Selling Partner Support team is looking for a Senior Business Analyst – Policy Experience (PX), to help steer the Policy Experience program through generation of insights, analytics and supporting Program Managers with data to drive improvements and program roadmap. This role will own all analytical aspects of Policy Experience, WW.Third-party sellers represent significant value to Amazon’s online retail customers and Selling Partner Support (SPS) drives success for these sellers through a combination of people, processes and services. We are a primary interface between Selling Partners and Amazon by direct interaction between our associates and sellers, by building communication tools that sellers use to receive help, and by driving cross-functional initiatives to improve the seller experience. Additionally, we possess a wealth of data regarding the reason sellers contact us for help and we use this information to identify and drive improvements to our seller solutions across the Company.Working backwards from the policies that guides Selling partner experience, as a Sr. Business Analyst for Selling Partner Support, you will be responsible for generating data backed analytical insights that guide the selling partner experience program and will measure the results by monitoring quality and efficiency metrics and contacts. In this high profile role, you will collaborate with numerous business teams, product, and program teams both inside and outside Selling Partner Support to identify, define and specify solutions that create the conditions for sellers’ success and satisfaction. You will build collaborative relationships with these partners, working closely to create and execute a Policy experience improvement roadmap. You will prepare and execute regular program updates to senior management.The successful candidate will be input focused, data driven and will have isolated and correlated inputs to achieve impactful outputs, built closed loop processes and measures to ensure adoption of products and processes so that improvements are realized. S/he will also have proven ability to assess situations and guide teams toward both short-term and longer term systemic changes. The ideal candidate will possess an analytic, statistical and optimization background to enable strategic workforce planning and strategic service initiatives planning. In this role you will experience a wide range of problem solving situations, strategic to real-time, requiring extensive use of data collection and analysis.At Amazon, we believe innovation should occur throughout the organization. This disruptive leader will stimulate and pioneer innovation in Seller service excellence and be an active voice and member of the Selling Partner Support leadership team.Key job responsibilitiesThe Senior Business Analyst in Policy Experience under GPM will be focusing on analyzing emerging and new quality, experience and operational metrics for Selling Partners. The successful candidate will have strong business acumen and possess excellent statistical and analytical abilities. They will focus on creating actionable insights and research to provide recommendations to the leadership team and build scalable solutions to meet business needs. They will have passion for data and analytics, be an independent innovator comfortable with ambiguity. They'll have strong attention to detail, an ability to work in a fast-paced and entrepreneurial environment.The ideal candidate for this role will should be:• Self-starter who understands the current and future business needs by working closely with stakeholders to recognize their needs and requirements.• Individual who will support the long-term strategy to implement self-service solutions and focus on insights research while understanding and have experience working with Customer service/Operation teams. • Hands-on individual who has deep domain/process expertise across operational metrics, someone who can understand individual metrics and how they are all connected. • Proactively identify problems with significant business impact; facilitate analysis to identify problems and opportunities to deliver insights and recommendations to help shape strategy across team and measurement initiatives.• Working with the data engineering team to build the business requirements to evolve the insights and analysis about the SP experience. • Set and articulate expectations around leadership behavior for peers; model behavior that exemplifies Amazon Leadership Principles.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- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders- Experience with Excel ...

The Amazon Privacy team is on a mission to make it easy for Amazon teams to meet customer expectations and regulatory obligations when it comes to taking care of their personal data.As a Business Intelligence Engineer for Amazon Privacy, you will own, source and deliver the metrics which enable Amazon Privacy to validate to ourselves, to our internal partners, and to our external stakeholders that we are meeting our privacy obligations across the company. To extract data and meaningful insights, you will partner with our product and engineering teams who own tools used by builders and privacy specialists across the company. You will work with product and engineering leads to discover new ways to view and report on privacy impacting initiatives.Privacy is a fascinating, fast-moving and ever-changing area - there's still many opportunities for invention and innovation ahead of us.Key job responsibilitiesYou will own sourcing data to be used in our internal dashboards, as well as our regular business reviews, weekly, monthly, and quarterly. You will work with the Amazon Privacy product team to build a scalable ongoing metrics and analytics program. You will research the impact of privacy automation and tooling on both customers and business users. You will coordinate with our internal auditing team to ensure we have the data necessary as part of our overall evidence of compliance program.About the teamWe own software products that teams use to identify their privacy obligations, as well as the products they use to support those obligations in their software.We partner with core builder framework teams, privacy legal, and privacy specialists across the company. Our teams are in Arlington VA, Austin TX, Seattle WA and Romania.Privacy knowledge is beneficial but not at essential. Many of us learned on the job, having come from other Amazon teams.BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...