Business Intelligence

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 ...

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

Have you ever wondered how Amazon predicts when your order will arrive and how we ensure that it actually arrives on at the promised date/time? Have you wondered where all those Amazon semi-trucks on the road are headed? Are you passionate about increasing efficiency and reducing carbon footprint? Does the idea of having worldwide impact on Amazon's logistics network including our planes, trucks, and vans sound exciting to you? If so, then we want to talk with you! At Amazon's Fulfillment Optimization, we are tasked with optimizing the fulfillment on customer orders so that we fulfill all orders worldwide in the most intelligent manner while ensuring Amazon customers get their orders on time.The Transportation Volume Planning team owns and operates ML and simulation systems that continually optimize the distribution of tens of millions of products across Amazon’s warehouses in the most cost-effective manner, utilizing large scale optimization techniques and distributed computing in trying to reduce overall transportation costs while improving the customer experience. We are focused on saving hundreds of millions of dollars using big data technologies, cutting edge science, machine learning, and scalable distributed software on the cloud that automates and optimizes inventory and shipments to customers under the uncertainty of demand, pricing and supply.We’re looking for a passionate and results-oriented Principal Analytics Manager who enjoys the challenge of diving into complex problems and solving the unsolvable to drive the key decisions. The person will lead the team of BIEs and DEs to develop large scale, fault tolerant and high availability data analysis systems. Watch http://bit.ly/amazon-scot to get the big picture.Key job responsibilitiesIn this role you will… • Collaborate with and influence a wide set of stakeholders, providing thought leadership, product expertise, and business insight. • Work across Transportation teams, PMs, Engineers, Scientists, Finance, and SCOT teams to establish the network planning Analytics Roadmap. • Interface with cross-functional teams to build centralized tools that will allow for rapid defect detection and repair. • Partner with Engineers and Software Engineers to design products and systems to enhance explainability of various machine learning and optimization models.• Explore/analyze and work with Product Managers to understand customer behaviors, spot system defects, and benchmark our ability to serve our customers • Design and implement technical solutions with an appropriate analytics strategy and data set design; make technical trade-offs for long-term / short-term needs; and drive best practices in operational excellence, data modelling, and analysis. This role will likely be a good fit for you if you currently… • Are energized by nuanced problem statements, navigating complexity with thoughtful analyses, and delivering crisp findings and recommendations to leadership teams. • Looking around corners to proactively identify and build automated, scalable analytical solutions • Use analyses to propose innovative and profitable initiatives to senior management/executives. • Analyze and synthesize large streams across multiple inputs. • Find and create ways to measure the customer experience to drive outcomes. • Curious to identify patterns in and how they relate to the outcomes • Inspire high performance from your team, with your vision, energy, high standards and results.* Manage, mentor and grow a team of BIEs and DEsAbout the teamAbout the teamThe Transportation Volume Planning team is part of the Fulfillment Optimization org and owns optimization and simulation systems to guide Amazon's outbound capacity planning. The team is currently spread across Seattle, Austin, TX, and New York City. The team is multi-disciplined comprising of research science, business intelligence, and software development. Come join us as we fundamentally redesign our approach to Amazon first-party fulfillment.Watch this video to learn more about our organization, SCOT: http://bit.ly/amazon-scot BASIC QUALIFICATIONS- 7+ years of business intelligence and analytics experience- 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience- Experience with SQL- Experience with ETL- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software ...

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. ...

SCOT's Automated Inventory Management (AIM) Planning team is seeking a Sr. BIE who enjoys the challenge of diving into complex problems and solving the unsolvable to help our executives make impactful decisions. In this role, you will help lead inventory management innovation, define the AIM Inventory Planning roadmap and system improvements to automate worldwide inventory management, and identify and drive long term free cash flow opportunities. You will work closely with Scientists, Engineers and Product Managers to build scalable, high insight- high impact products and lead retail inventory planning cycles, to enable top-notch Amazon global retail inventory efficiency strategy within our rapidly growing, dynamic business and influence Amazon's inventory management decisions on a day-to-day basis.Key job responsibilitiesIn this role you will… • Collaborate with and influence a wide set of stakeholders, providing thought leadership, product expertise, and business insight. • Own and execute retail inventory guidance planning cycles, as inputs into global Amazon financial plans and network plans• Work across AIM Planning, PMs, Engineers, Scientists, Finance, and SCOT teams to establish the Inventory Planning BIE Roadmap.• Dive deep to create insights on how well Amazon is taking care of the customer as it relates to product availability and inventory levels• Drive changes through insights to improve a wide range of internal products that impact planning, buying and sourcing.• Develop improvements and invent new ways to look at / trends via an internal worldwide customer portal.• Interface with cross-functional teams to build centralized tools that will allow for rapid defect detection and repair.• Partner with Engineers and Software Engineers to design products and systems to transform and store billions of items using AWS redshift• Explore/analyze and work with Product Managers to understand customer behaviors, spot system defects, and benchmark our ability to serve our customers• Design and implement technical solutions with an appropriate analytics strategy and data set design; make technical trade-offs for long-term / short-term needs; and drive best practices in operational excellence, data modelling, and analysis.This role will likely be a good fit for you if you currently… • Are energized by nuanced problem statements, navigating complexity with thoughtful analyses, and delivering crisp findings and recommendations to leadership teams.• Looking around corners to proactively identify and build automated, scalable analytical solutions• Use analyses to propose innovative and profitable initiatives to senior management/executives.• Analyze and synthesize large streams across multiple inputs.• Find and create ways to measure the customer experience to drive outcomes.• Curious to identify patterns in and how they relate to the outcomes• Inspire high performance from your team, with your vision, energy, high standards and results.About the teamHave 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 Supply Chain Optimization Technology organization is for you. Watch this video to learn more about our organization, SCOT: http://bit.ly/amazon-scot The AIM team is part of the Supply Chain Optimization Technology (SCOT) Team within the Operations Organization. The charter of the SCOT team is to maximize Amazon’s return on our inventory investment in terms of Free Cash Flow and customer satisfaction. We accomplish this by determining how much inventory Amazon needs of each SKU and what to do if we have too much. This puts the Inventory Planning group at the nexus of operations, logistics, capacity planning, and our retail business teams. BASIC QUALIFICATIONS- 5+ years of SQL experience- 5+ 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- Experience with data visualization using Tableau, Quicksight, or similar tools ...

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.Amazon Web Services (AWS) is the world leader in providing a highly reliable, scalable, low-cost infrastructure platform in the cloud powering hundreds of thousands of businesses in hundreds of countries around the world. As part of the AWS Infrastructure organization, Data Center Planning and Delivery (DCPD) prepares for, plans, and builds the data centers that comprise the AWS cloud.You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.We are seeking a highly skilled and motivated Business and Data Analyst in Seattle, WA to manage and solve business critical problems using requirements analysis, build data reports/ dashboards to deliver financial insights to the business. This role has direct impact on the day-to-day decision making of large-scale capacity delivery and financial programs.This role drives operational excellence, by: 1) deep diving critical financial insights and data, 2) identifying solutions to streamline current processes and visualizations, and 3) using knowledge of infrastructure projects and financial insights to advise or influence business decisions that have cross-region impact. You must be highly analytical and possess a strong passion for analytics and accountability, set high standards with a focus on superior business success you must also have a passion for process improvement and constantly looking for ways to work more efficiently. You will use your judgment, analytical talent, technical aptitude, and leadership to collaborate with a diverse set of stakeholders across multiple time zones, design solutions, remove blockers, and find creative ways to invent and simplify centralized solutions.Key job responsibilities• Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for business intelligence analytics.• Implementing data structures using best practices in data modeling to provide on-line reporting and analysis using business intelligence tools and a logical abstraction layer against large, multi-dimensional datasets and multiple sources.• Gathering business and functional requirements and translating the gathered requirements into robust, scalable, operable solutions that work well within the overall data architecture.• Analyzing source data systems and driving best practices in source teams.• Analyzing large amounts of data, discovering and solving real world problems, and building metrics and business cases to help business teams to make decisions.• Participating in the full development life cycle, end-to-end, from design, implementation and testing, to documentation, delivery, support, and maintenance to produce comprehensive, usable dataset documentation and metadata.• Evaluating and making decisions around dataset implementations designed and proposed by peer data engineers. Identifying business process improvements from the data level.• Analyzing and evaluating business process, and through data driven insights proposing and implementing business process improvement.About the teamAWS 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. 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.We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. 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.We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- Bachelor's degree in finance, accounting, business, economics, engineering , analytics, mathematics, statistics or a related technical or quantitative field- 4+ 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- 4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- 4+ years of experience partnering with executive-level leaders to identifying and solving business issues ...

The Amazon Vendor Services (AVS) organization strives to improve the Amazon customer experience by working directly with Selling Partners to enable more selection, reduce defects, and drive growth across their businesses. Our team invents and innovates across technology, processes and people to enhance the services we offer, improve Selling Partner engagement and satisfaction, and build scalable solutions. Our team is responsible for building robust processes, identifying opportunities for improvement, and partnering with dependent teams to improve tools and systems for internal and external customers. As a BIE, you will develop, standardize, and report on data which drives efficiency and scalability for the AVS Program. You will work closely with business intelligence, data engineering, operations, marketing, and other Retail partners to improve the Selling Partner experience. You will develop and implement ideas that drive continuous improvement by simplifying processes and driving automation. This position provides opportunities to influence one of the high visibility and high impact areas in the organization. The ideal candidate is highly analytical, resourceful, customer-focused and team oriented, with clear communication skills and the ability to build effective relationships with key stakeholders. You are also have a history of delivering results in a fast-paced and dynamic business environment. 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. - Use analytical and statistical rigor to solve complex problems and drive business decisions- Mine data from database tables (ex. Redshift, MySQL, Oracle) using SQL and log files by writing scripts (ex. PERL, Python, UNIX)- 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- 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 ...

Selling Partner Support (SPS) is responsible for creating a trustworthy shopping experience across Amazon stores worldwide by protecting customers, brands, selling partners and Amazon from fraud, counterfeit, and abuse as well as empowering, providing world‐class support, and building loyalty with Amazon’s millions of selling partners. We value individual expression, respect different opinions, and work together to create a culture where each of us is able to contribute fully. Our unique backgrounds and perspectives strengthen our ability to achieve Amazon's mission of being Earth's most customer-centric company. Amazon’s Perfect Order Experience team, under CTPS, works to ensure that Customers can buy with confidence on Amazon. We develop and implement technology innovations, programs, tools, and policies to protect the buying experience on Amazon while minimizing friction for our selling partners. Our team is constantly innovating on behalf of customers to solve business problems. We are looking for a Business Analyst to help us drive improvements in our A-to-z Guarantee space.A-to-z Guarantee is Amazon’s primary mechanism for protecting customers when they encounter a negative order experience with a third-party seller. We focus on helping Customers easily report a problem when something goes wrong, Sellers to effectively resolve these problems for our customers, and Amazon systems & associates to efficiently adjudicate decisions where we need to step in! Because of the customer experience & financial impact of this product, as well as the opportunities to test integration points upstream, parallel, and downstream – this is an exciting opportunity for a Business Analyst to enter the team, take ownership of the problem space, simplify & reinvent, and help drive exciting results for the program! Key job responsibilitiesAside from heavy involvement in several high-impact initiatives the team is driving towards, key day-to-day responsibilities for this role will include:Detection of Issues & Impact Assessments eg. An issue with the A-Z operational SLA – how large is the problem and what are the upstream and downstream impactsRoot Cause Analyses & Solution Scoping eg. Identify that the miss comes from a forecasting issue and a spike in appeal rates. Propose modified drivers for claims volume forecasts and deep dive improved communication messages to our Selling Partners so they are more aware of our policies. Assess expected impact of these actionsMonitoring & Mechanisms eg. Generate self-serve reporting to ensure the actual impact from the actions are aligned with what was expected (iterating if needed). Integrate these metrics into the right recurring mechanisms to ensure a) future issues can be detected faster or prevented altogether, and b) the right feedback loops exist to continually improve our productsAbout the teamGuaranteed Remediation Experience (GRX) provides Amazon’s primary mechanism for protecting customers when they encounter a negative order experience. We focus on helping Customers easily report a problem when something goes wrong, Sellers to effectively resolve these problems for our customers, and Amazon systems & associates to efficiently adjudicate decisions where we need to step in! Because of the customer experience & financial impact of this product, as well as the opportunities to test integration points upstream, parallel, and downstream – this is an exciting opportunity to enter the team, think big, simplify & reinvent, and help set the future vision for the program!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 ...

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 Sales Strategy and Operations team. This is an exciting opportunity to support and influence the strategy of Amazon retail, with a focus on delivering data and insights on business performance.As a Business Analyst, you will partner with 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 Sales, marketing, finance, and other stakeholders across US teams- Develop, launch, and optimize business performance mechanisms- Deliver data, analysis, insights, and recommendations to help shape Sales and marketing 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 Sales, finance leaders on analytical projects- Writing SQL queries and creating business intelligence reports.- Defining requirements and using data and metrics to draw business insights- Excel- SQL/PL SQL- QuickSight- ETLAbout the teamSales Strategy & Operations (SSO) team enables Account Reps (ARs) to be more productive, and recruitment processes to be more efficient and effective, while maximizing seller success and experience. SSO will enable the headline “sellers choose to invest more in Amazon because of the growth we enable through our Account Reps.” To deliver on this vision and effectively serve our customers (Account Reps and sellers).BASIC QUALIFICATIONS- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- Bachelor's degree or equivalent- Experience 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 Web Services is seeking an extraordinary Data Engineer to join the AWS Data Platform team.Our teams take on some of the hardest scalability, performance, and distributed computing challenges the world. We process trillions of events per month using stream processing techniques (Kinesis), process billions of line items via map reduce (EMR) and handle artifacts through the latest in database technologies (DynamoDB and Aurora). We process big data and provide tools for customers to interactively understand their bills. We also provide the analytics that let customers handle billions of dollars of IT usage and spending. Because we sit at the nexus of all AWS services and interact directly with end-customers, we also work closely across all AWS teams to ensure that we offer a great customer experience. The AWS Data Platform team's vision is to help customers handle the full life cycle of data at all levels of granularity, simplify data collection, integration, and aggregation of AWS data assets, and provide services (compute, storage, security) to access datasets at scale. We collect and process billions of usage and billing transactions every single day into actionable information in the Data Lake and make it available to our internal service owners to analyze their business and service our external customers. We are truly leading the way to disrupt the data warehouse industry. We are accomplishing this vision by bringing to bear Big Data technologies like Elastic Map Reduce (EMR) and Spark in addition to data warehouse technologies like Redshift to build a data platform capable of scaling with the ever-increasing volume of data produced by AWS services. You will have the ability to craft and build AWS' data lake platform and supporting systems for years to come. You should have deep expertise in the design, creation, management, and business use of large datasets, across a variety of data platforms. You should have excellent business and interpersonal skills to be able to work with business owners to understand data requirements, and to build ETL to ingest the data into the data lake. You should be an authority at crafting, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into the data lake. Above all you should be passionate about working with huge data sets and someone who loves to bring datasets together to answer business questions and drive growth.Here at AWS, 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 we 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. We have a formal mentor search application that lets you find a mentor that works best for you based on location, job family, job level etc.We offer flexibility in working hours and encourage you to find your own balance between your work and personal life.BASIC QUALIFICATIONS- 5+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Experience with Apache Spark / Elastic Map Reduce ...

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

Conversational search shopping team is looking for an innovative, hands-on and customer-obsessed Business intel engineer. Candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, excellent technical skills and should be able to juggle multiple tasks at once.Key job responsibilitiesIdeal candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience and get the right things done.This job requires you to constantly hit the ground running and have the ability to learn quickly. Primary responsibilities include defining the problem and building analytical frameworks to help the operations to streamline the process, identifying gaps in the existing process by analyzing data and liaising with relevant team(s) to plug it and analyzing data and metrics and sharing update with the internal teams.BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

Are you excited about uncovering actionable insight to improve delivery experience? Do you get excited about operating in an ambiguous and fast moving environment? Are you looking for an opportunity to work with cross functional teams, and build decision-driven analytics solution for work that is critical to Amazon’s continued ability to deliver smiles in communities? The DSP Analytics Team has an exciting opportunity for a Business Intelligence Engineer (BIE) to make an impact on the Amazon’s Delivery Service Partner (DSP) program.The goal of Amazon’s DSP organization is to exceed the expectations of our customers by ensuring that their orders, no matter how large or small, are delivered as quickly, accurately, and cost effectively as possible. To meet this goal, Amazon is continually striving to innovate and provide best-in-class delivery experience through the introduction of pioneering new products and services in the last mile delivery space. Come join us and help us make history!We are looking for an innovative and highly-motivated BIE 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 DSP programs. You will work closely with engineering & science teams, product managers, program managers, business coaches, capacity planners and org leaders to deliver end-to-end data solutions aimed at continuously enhancing overall capacity planning of DSP programs. In this role, you will dive deep into disparate datasets to improve our understanding of various components involved in Last Mile delivery, build decision-driven analytics to enable DSP growth and increase DSP capacity flexibility and reliability, improve tooling to scale up capacity planning processes across programs, and extract actionable insight to level up plan accuracy and process efficiency.Key job responsibilities- Earn the trust of your customers and stakeholders by continuing to constantly obsess over their business use cases and data needs, and helping them solve their problems by scaling data and tech solutions.- Manage and execute analytics solutions end-to-end including project management, data gathering and modeling, problem solving, and communication of insights and recommendations.- Build high quality data architecture and ETL data pipelines using SQL, Scripting and other ETL tools.- Retrieve and analyze data using a broad set of Amazon’s data technologies (ex. Redshift, AWS S3, Amazon Internal Platforms/Solutions) and resources, knowing how, when, and which to use.- Design, build, and maintain automated reporting, dashboards, and ongoing analysis to enable data driven decisions across our team and with partner teams.- Report key insight trends using statistical rigor to simplify and inform the larger team of noteworthy trends that impact the business.- Partner with scientists to scale and expand science models through model and architecture improvements- Be connected and influential within the Amazon BI and Data Engineering (DE) community. Work with DE and software development teams to enable the appropriate capture and storage of key data points. About the teamWe are the centralized Amazon DSP Analytics team with the vision to build best-in-class analytics solutions to support our internal and external DSP stakeholders and partners for making data driven decisions org-wide. We believe in promoting and using ideas to disrupt the status quo. In our team, you will have the opportunity to dive deep into complex business and data problems, drive high-impact and large scale data solutions and raise the bar for engineering and operational excellence. We have exceptionally talented and fun loving team members, and we love to share ideas and learnings with each other. BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience writing complex SQL queries- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

Amazon Advertising operates at the intersection of e-Commerce and Advertising, offering a range of digital advertising solutions with the goal of helping our customers discover and shop for anything they want to buy.The Amazon Advertising business is growing at a fast pace and this team’s mission is to apply science and technology to accelerate that growth through best-in-class solutions. We are part of the Sales Recommendations & Insights team within Sales & Partner Enablement (SPE) to deliver solutions to improve Amazon Advertising Sales team effectiveness worldwide. We are building products for Amazon Advertising front line sales team. Our mission is to minimize the effort required for our Sales team to identify opportunities and recommendations to help their brands grow on Amazon.The team is looking for motivated Business Intelligent Engineers. In this role you will be responsible for and will build the foundational data pipelines and data tables, analyze large data sets, prove and disprove hypothesis, automate solutions and build self-service dashboards and reports. This person consistently employs high judgment and makes data-driven decisions, leading by example and influencing the team to do the same.Key job responsibilities - Analyze and solve business problems at their root, stepping back to understand the broader context.- Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations that will shape the future of the Amazon Business.- Develop end-to-end self-service BI solutions to support decision making for the key stakeholder.- Train business stakeholders to use the BI tools and to be autonomous in data analysis.- Research and implement novel approaches to enhance existing technical and business processes to improve customers and stakeholders experience.BASIC QUALIFICATIONS- 5+ 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 ...

Global Talent Management and Compensation (GTMC) is centrally responsible for creating and evolving Amazon’s talent programs and processes. The Modeling Analytics and Research Science (MARS) team within the GTMC Science, Insights, Engineering Research, Reporting and Analytics (SIERRA) team is a team of Research Scientists, Data Scientists, and BIEs with a direct impact on 300,000+ Amazonians across all of our businesses and locations around the world. We use employee data to drive the right conversations with Amazon’s Senior Vice President of PXT (People eXperience and Technology) and other executives about how to improve existing talent programs and explore new and developing questions that shape our talent landscape. MARS is looking for experienced analysts to support the end-to-end business intelligence for new and evolving talent products, proprietary to Amazon. In this role, you will work directly with customers, leaders, and program owners, influencing opportunity identification, product design, data capture, reporting/measurement, and evaluation strategies. You will use existing data/research to identify new challenges and opportunities, as well as data collected through methods you create/define. You will leverage your subject matter expertise and strong written/verbal communications skills to develop reproducible research/analyses shared with PXT analysts embedded across Amazon’s diverse set of businesses. As the end-to-end analyst for the product, you will also build proof-of-concept reporting tools, while scaling ad hoc data access, enabling the product team self-serve and make informed decisions in a fast-paced, ambiguous business environment.Responsibilities: · Align with leaders and customers to translate business issues into testable hypotheses answerable with data · Develop and execute analyses to drive talent insights· Create data capture and measurement strategies that drive business action· Drive a roadmap from descriptive to predictive analytics, moving routine tasks to self-service for your client group· Work closely with peers and stakeholders to access, pull, transform, and analyze data from a variety of PXT sources · Gather new data, and/or creatively use existing data to propose metrics and present them in compelling but easily understood way to a non-statistical audience.· Apply statistical tests to data, including (but not limited to), t-tests, chi-square, and regression.· Compile results in a concise, meaningful, and actionable format and share findings to senior leadership · Build processes to scale fast and accurate on-demand and ad hoc data/analytical requests for leadership and key stakeholders 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 ...

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.Do you want to be an integral part of the world's transition to the cloud? The AWS Analytics and Data Solutions (ADS) team is seeking for a Business Intelligence Engineer (BIE) with a combination of superior analytical abilities, business acumen, business judgement, curiosity, technical skills, and written and verbal communication skills to join our team.Data-driven decision-making is at the core of Amazon’s culture and people who are exceptionally talented at analyzing large sets of data to build insights are critical. Your work will directly impact the decisions and strategy of the entire AWS Infrastructure Services org and our customers. You will be gathering customer needs and insights, mining large and diverse data sets from across AWS Infrastructure, building visualizations and tools for our business partners, generating insights to help senior leaders make critical business decisions. Hence, the successful BIE will not only possess the expertise and passion for analyzing data, designing metrics to measure the performance of the business, and building reporting capabilities and tools, but also will interact directly with business leaders and teams that rely on the metrics and analyses that they produce.The business intelligence engineer must be a self-starter, comfortable with ambiguity, able to think big and be creative (while still paying careful attention to detail), and enjoy working in a fast-paced, dynamic environment. If you are excited about data, are results-oriented, and want to join a growing analytics team within Amazon - this role is for you! Key job responsibilities - Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support the needs of the business. - Apply deep analytic and business intelligence skills to extract meaningful insights and learning from large and complicated data sets. - Be hands-on with ETL to build data pipeline to support automated reporting. - Serve as liaison between the business and technical teams to achieve the goal of providing actionable insights into current business performance, and ad hoc analyses to support future improvements or innovations. This will require data gathering and manipulation, problem solving, and communication of insights and recommendations. - Build various data visualizations to tell the story of business trends, patterns, and outliers through rich visualizations. - Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.About the teamWhy AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- 3+ years 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 ...

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 ...

As a Business Intelligence Engineer on the Finance team supporting Amazon Marketing Cloud, you'll play a critical role in unlocking data-driven insights to power the next generation of Amazon's advertising solutions. In this highly visible position, you'll tackle complex business challenges, design scalable data models, and build cutting-edge analytics - all with the goal of delivering innovative, impactful solutions. With a deep understanding of SQL and data visualization, you'll be a significant contributor who can consistently deliver high-quality, maintainable work with limited guidance. If you're a self-starter who thrives on solving ambiguous problems, loves collaborating with cross-functional teams, and is passionate about leveraging data to drive business strategy, this could be the perfect role for you.Key job responsibilitiesThe ideal candidate will be responsible for identifying and addressing complex business problems and opportunities to improve Amazon Marketing Cloud systems, processes, and tools. They will implement data-driven solutions by designing efficient data models and developing SQL/Python scripts, balancing customer requirements with technological constraints. The successful candidate will set data modeling standards and best practices, while also uncovering insights through statistical analysis. It will be crucial to collaborate closely with business customers, cross-functional teams, and senior leaders to refine requirements, solve problems, and deliver new solutions. When the business requires more granular data access, the candidate will help minimize bottlenecks and advise customers on self-service options. They will also own key metrics, prepare and automate reporting for business reviews, and support executive decision-making with data insights. Essential skills include a bias for action, strong attention to detail, the ability to learn quickly, and the capacity to adapt in a fast-paced, changing environment. The candidate must insist on high standards, make sound decisions, exhibit ownership and accountability, and apply appropriate technologies following best practices.A day in the lifeAs a Business Intelligence Engineer for Amazon Marketing Cloud, your days will be a dynamic mix of technical and collaborative work. You'll partner with product, finance, and engineering teams to design scalable data solutions powering new advertising innovations. You'll also analyze KPIs, forecast key metrics, and uncover insights to inform critical business decisions - including preparing and automating reporting for regular reviews.No two days will be the same, but you can expect a steady stream of new challenges, high-visibility projects, and opportunities to make a real impact. If you thrive on solving ambiguous problems, have familiarity with Spektr tables, and drive data-driven innovation, this role is sure to engage you.BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

Are you 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. As 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- 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's Trustworthy Shopping Experience (TSE) team strives to guarantee customers a trustworthy shopping and ordering experience so they can shop with confidence on Amazon. Our mission is to deliver a trustworthy experience by eliminating catalog defects, ensuring listings are compliant with our selling policies, ensuring customers receive authentic products in the condition they expect, and protecting them by making things right with our A-to-z Guarantee, in the rare chance that the expectation is not met.We are seeking a highly motivated and detail-orientated Business Analyst to join our team. You will support the analytics and reporting requirements of our investigation products on-boarding process. The ideal candidate will have a passion for data, strong analytical skill and effective communication skill. You will work closely with cross-functional teams and stakeholders to ensure data accuracy and identify key insight in a fast paced environmentKey job responsibilitiesAn ideal candidate for this role:· Will have relevant experience in data analytics working with large data sets and to extract and transform data using various tools and technologies· Will transform data into actionable business information, and will make it readily accessible to stakeholders worldwide· Will use data to support ideas, drive actionable outcomes, and provide unique ways to present data and information in an easy to consume format· Will be passionate about finding root causes, trends, and patterns and how they impact business.· Will draw inferences and conclusions, create dashboards and visualizations of processed data· Will have excellent business and communication skills to be able to work with product owners to understand key business questions to build reports that enable product owners to answer those questions quickly and accurately. Will be very comfortable juggling competing priorities and handling ambiguity. Will thrive in an agile and fast-paced environment on highly visible projects and initiativesAbout the teamShopping Experience Protection Ops (SEPO) Team works to ensure that customers can buy with confidence on Amazon. Our mission is to ensure that every Customer, Brand and Selling Partner is protected from bad actors, and their concerns are resolved real-time. Our mission is to create quick and accurate decisions that exceed the expectations of our Customers, Brands and SPs while protecting them from bad actors. We deliver at scale through technology and expert human judgement. We drive down costs by selectively and efficiently using human judgement where technology is not able to automate.BASIC QUALIFICATIONS- 3+ years of tax, finance or a related analytical field experience- 3+ 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 making business recommendations and influencing stakeholders- Experience with SQL ...