Seattle

Do you want to join an innovative team of scientists who use deep learning, natural language processing, large language models to help Amazon provide the best seller experience across the entire Seller life cycle, including recruitment, growth, support and provide the best customer and seller experience by automatically mitigating risk?Do you want to build advanced algorithmic systems that help manage the trust and safety of millions of customer interactions every day? Are you excited by the prospect of analyzing and modeling terabytes of data and creating state-of-the-art algorithms to solve real world problems? Are you excited by the opportunity to leverage GenAI and innovate on top of the state-of-the-art large language models to improve customer and seller experience? Do you like to build end-to-end business solutions and directly impact the profitability of the company? Do you like to innovate and simplify processes?If yes, then you may be a great fit to join the Machine Learning Accelerator team in the Amazon Selling Partner Services (SPS) group.Key job responsibilitiesThe scope of an Applied Scientist III in the Selling Partner Services (SPS) Machine Learning Accelerator (MLA) team is to research and prototype Machine Learning applications that solve strategic business problems across SPS domains. Additionally, the scientist collaborates with engineers and business partners to design and implement solutions at scale when they are determined to be of broad benefit to SPS organizations. They develop large-scale solutions for high impact projects, introduce tools and other techniques that can be used to solve problems from various perspectives, and show depth and competence in more than one area. They influence the team’s technical strategy by making insightful contributions to the team’s priorities, approach and planning. They develop and introduce tools and practices that streamline the work of the team, and they mentor junior team members and participate in hiring.BASIC QUALIFICATIONS- 4+ years of applied research experience- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

Senior Applied Scientist, Machine Learning Accelerator Job ID: 2853081 | Amazon.com Services LLC Do you want to join an innovative team of scientists who use deep learning, natural language processing, and large language models to help Amazon provide the best seller experience across the entire seller life cycle, including recruitment, growth, support, and customer experience by automatically mitigating risk? Are you excited by the prospect of analyzing and modeling terabytes of data and creating state-of-the-art algorithms to solve real-world problems? If yes, then you may be a great fit to join the Machine Learning Accelerator team in the Amazon Selling Partner Services (SPS) group. ...

Are you excited by the idea of developing personalized experiences for Amazon customers as they shop? Are you looking for new challenges and to solve hard science problems while applying state-of-the-art recommendation system modeling techniques? Join us and you'll help millions of customers make informed purchase decisions while also advancing the state of Amazon's science by publishing research!Key job responsibilities- Participate in the design, development, evaluation, deployment and updating of data-driven models for shopping personalization.- Use expertise in supervised and uplift learning algorithms to improve ML performance- Research and implement novel ML and statistical approaches to add value to the business.- Design A/B tests and conduct statistical analysis on their results- Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customers- Work closely with internal stakeholders like the business teams, engineering teams and partner teams and align them with respect to your focus area- Present and publish science research, contributing to Amazon's science community- Mentor junior engineers and scientists.About the teamOur team's mission is to surface the right payments-related recommendations to customers at the right time, helping create a rewarding and successful shopping experience for Amazon's customers. Our team's culture is highly collaborative, with an emphasis on supporting each other and learning from one another. We dedicate time each week to focus on personal development and expanding our knowledge as a team. We also highly value having a big impact, both for Amazon's business and for our customers.BASIC QUALIFICATIONS- 4+ years of applied research experience- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning- Experience with reinforcement learning- Publication record on machine learning methods ...

Are you motivated to explore research in ambiguous spaces? Are you interested in conducting research that will improve the employee and manager experience at Amazon? Do you want to work on an interdisciplinary team of scientists that collaborate rather than compete? Join us at PXT Central Science!The People eXperience and Technology Central Science Team (PXTCS) uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, wellbeing, and the value of work to Amazonians. We are an interdisciplinary team that combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal.Key job responsibilitiesAs a Senior Applied Scientist for People Experience and Technology (PXT) Central Science, you will be responsible for providing scientific thought leadership for our science and engineering teams, specifically for re-imagining Generative AI Applications and Generative AI Infrastructure for HR. Applying Generative AI to HR has unique challenges such as seamlessly integrating Enterprise Knowledge and World Knowledge and knowing which to use when. In addition, the team works on some of Amazon’s most strategic technical investments in the people space and support Amazon’s efforts to be Earth’s Best Employer. In this role you will have a significant impact on 1.5 million Amazonians and the communities Amazon serves.You will also play a critical role in the organization's business planning, work closely with senior leaders to develop goals and resource requirements, influence our long-term technical and business strategy, and help hire and develop science and engineering talent. You will provide science thought leadership and support to business partners, helping them use the best scientific methods and science-driven tools to solve current and upcoming challenges and deliver efficiency gains in a changing market.BASIC QUALIFICATIONS- Advanced degree (e.g., M.S. or PhD) in computer science, statistics, engineering, or mathematics.- 5+ years of industry and academic experience in building machine learning models.- Experience building complex, real-world systems involving NLP techniques including experience with Gen AI applications and infrastructure.- Demonstrated track record of peer-reviewed scientific publications that advance state-of-the art applied science. Familiar with one or more programming languages such as Python, C/C++, or Java. ...

Senior Applied Scientist, People Experience and Technology (PXT) Central Science Job ID: 2699810 | Amazon.com Services LLC Are you motivated to explore research in ambiguous spaces? Are you interested in conducting research that will improve the employee and manager experience at Amazon? Do you want to work on an interdisciplinary team of scientists that collaborate rather than compete? Join us at PXT Central Science!The People eXperience and Technology Central Science Team (PXTCS) uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, wellbeing, and the value of work to Amazonians. We are an interdisciplinary team that combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal.Key job responsibilitiesAs a Senior Applied Scientist for People Experience and Technology (PXT) Central Science, you will be responsible for providing scientific thought leadership for our science and engineering teams, specifically for re-imagining Generative AI Applications and Generative AI Infrastructure for HR. Applying Generative AI to HR has unique challenges such as seamlessly integrating Enterprise Knowledge and World Knowledge and knowing which to use when. In addition, the team works on some of Amazon’s most strategic technical investments in the people space and support Amazon’s efforts to be Earth’s Best Employer. In this role you will have a significant impact on 1.5 million Amazonians and the communities Amazon serves.You will also play a critical role in the organization's business planning, work closely with senior leaders to develop goals and resource requirements, influence our long-term technical and business strategy, and help hire and develop science and engineering talent. You will provide science thought leadership and support to business partners, helping them use the best scientific methods and science-driven tools to solve current and upcoming challenges and deliver efficiency gains in a changing market. ...

Lead the development of cutting-edge AI models to power Amazon's eCommerce ontology - the authoritative source of product knowledge driving exceptional customer experiences. Applied Scientists in this role solve problems related to product classification, attribute extraction, ontology modeling, data integration and enrichment, and scalable knowledge services. It's challenging due to the vast scale, heterogeneous data sources, and evolving domains, but exciting for pushing boundaries in ML, NLP, and knowledge representation research.If you're passionate about driving innovation at scale, we want to hear from you!Key job responsibilities- Lead the research and development of novel AI solutions to enrich and curate Amazon's product ontology (Product Knowledge) at scale- Develop scalable data processing pipelines and architectures to ingest, transform, and enrich product data from various sources (seller listings, customer reviews, etc.)- Collaborate with engineers to design and implement robust services- Work closely with product managers, stakeholders, and subject matter experts to identify opportunities for innovation and drive the roadmap for Product Knowledge- Mentor and upskill junior scientists and engineers, fostering a culture of continuous learning and knowledge sharing- Communicate complex technical concepts and research findings effectively to diverse audiences, including leadership, cross-functional teams, and the wider scientific community- Stay up-to-date with the latest advancements in machine learning, natural language processing, knowledge representation, and related fields, and identify opportunities to apply them to Product KnowledgeA day in the lifeThe Amazon product ontology is a structured knowledge base representing product types, attributes, classes, and relationships. It standardizes product data, enabling enhanced customer experiences through improved search and recommendations, streamlined selling processes, and internal data enrichment across Amazon's eCommerce ecosystem.You will work with following stakeholders:- Product Managers represent customer experiences and selling partner experiences- Category Leaders (e.g., apparel, electronics) provide domain knowledge and guidance as subject matter experts- Engineers build and maintain data pipelines and services in production- Ontologists design data models and define guidelines - Other Applied Scientists collaborate on research and innovationAbout the teamThe Product Knowledge team at Amazon is dedicated to creating the industry-standard eCommerce product and services ontology. Our diverse team of applied scientists, engineers, ontologists and subject matter experts build a comprehensive ontology enabling exceptional customer and selling partner experiences through high-quality, contextual product knowledge at scale.BASIC QUALIFICATIONS- 4+ years of applied research experience- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Amazon Advertising is at the forefront of shaping the future of advertising technology, and our Auction team in Sponsored Brands is pivotal in driving this innovation. SB Auction team's role is to develop optimized and fair auction systems for sponsored brands that deliver value for advertisers while enhancing the shopping experience for customers. We collaborate with different teams across the Amazon Ads to build scalable online and offline ML infrastructure systems to accelerate science innovations, facilitate business growth and promote technology innovation.Key job responsibilitiesAs a Senior Applied Scientist on this team, you typically play a key role in optimizing ad delivery, improving targeting accuracy, and maximizing revenue generation for advertisers, all while maintaining a seamless user experience, you will:- Develop optimization techniques (e.g., multi-objective optimization) to balance multiple goals, such as maximizing revenue for advertisers, increasing user engagement, and maintaining fair ad distribution.- Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.- Run A/B experiments, fine-tune the models for real-world effectiveness, ensuring that the ad auction system works optimally in production environments.- Run large-scale experiments to test different auction strategies, bidding algorithms, and ad targeting techniques, using methodologies like multi-arm bandit or reinforcement learning.- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving- Communicate results and insights clearly to non-technical stakeholders, including product managers, advertisers, and executives, helping them understand the impact of data-driven decisions.- Research new and innovative machine learning approaches.- Recruit Applied Scientists to the team and provide mentorship.BASIC QUALIFICATIONS- 6+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience in building machine learning models for business application- Understanding of digital advertising ecosystems.- Familiarity with statistical hypothesis testing, AB testing, and causal inference to ensure robust evaluation of models and experiments.- Ability to translate business goals (e.g., maximizing ad revenue, improving user experience) into measurable model outputs and performance metrics. ...

Join us in the evolution of Amazon’s Seller business! The Selling Partner Recruitment and Success organization is the growth and development engine for our Store. Partnering with business, product, and engineering, we catalyze SP growth with comprehensive and accurate data, unique insights, and actionable recommendations and collaborate with WW SP facing teams to drive adoption and create feedback loops. We strongly believe that any motivated SP should be able to grow their businesses and reach their full potential supported by Amazon tools and resources.We are looking for a Senior Applied Scientist to lead us to identify data-driven insight and opportunities to improve our SP recruitment strategy and drive new seller success. As a successful applied scientist on our talented team of scientists and engineers, you will solve complex problems to identify actionable opportunities, and collaborate with engineering, research, and business teams for future innovation. You need to be a sophisticated user and builder of statistical models and put them in production to answer specific business questions. We prefer candidates with strong causal ML knowledge. You are an expert at synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication. You will continue to contribute to the research community, by working with scientists across Amazon, as well as collaborating with academic researchers and publishing papers (www.aboutamazon.com/research). Key job responsibilitiesAs a Sr. Applied Scientist in the team, you will:- Identify opportunities to improve SP growth and translate those opportunities into science problems via principled statistical solutions (e.g. ML, causal, RL).- Mentor and guide the applied scientists in our organization and hold us to a high standard of technical rigor and excellence in MLOps.- Design and lead roadmaps for complex science projects to help SP have a delightful selling experience while creating long term value for our shoppers.- Work with our engineering partners and draw upon your experience to meet latency and other system constraints.- Identify untapped, high-risk technical and scientific directions, and simulate new research directions that you will drive to completion and deliver.- Be responsible for communicating our science innovations to the broader internal & external scientific community.BASIC QUALIFICATIONS- 4+ years of applied research experience- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

Have you ever wondered how Amazon launches and maintains a consistent customer experience across hundreds of countries and languages it serves its customers? Are you passionate about data and mathematics, and hope to impact the experience of millions of customers? Are you obsessed with designing simple algorithmic solutions to very challenging problems? If so, we look forward to hearing from you!At Amazon, we strive to be Earth's most customer-centric company, where both internal and external customers can find and discover anything they want in their own language of preference. Our Translations Services (TS) team plays a pivotal role in expanding the reach of our marketplace worldwide and enables thousands of developers and other stakeholders (Product Managers, Program Managers, Linguists) in developing locale specific solutions.Amazon Translations Services (TS) is seeking a Senior Applied Scientist to be based in our Seattle office. As a key member of the Science and Engineering team of TS, this person will be responsible for designing algorithmic solutions based on data and mathematics for translating billions of words annually across 130+ and expanding set of locales. The successful applicant will ensure that there is minimal human touch involved in any language translation and accurate translated text is available to our worldwide customers in a streamlined and optimized manner. With access to vast amounts of data, cutting-edge technology, and a diverse community of talented individuals, you will have the opportunity to make a meaningful impact on the way customers and stakeholders engage with Amazon and our platform worldwide. Together, we will drive innovation, solve complex problems, and shape the future of e-commerce.Key job responsibilities* Lead and innovate in applying advanced NLP and LLM techniques to solve complex language translation challenges in e-commerce, driving product-level improvements for our international marketplaces.* Architect and implement novel, scalable machine learning solutions that enhance translation quality evaluation and improve translation pipeline efficiency across multiple teams and systems.* Spearhead cross-functional collaborations to define strategic project requirements, establish organization-wide success metrics, and deliver high-impact solutions aligning with broader business objectives.* Drive comprehensive data analysis to uncover non-obvious insights in multilingual data, relaying findings into actionable strategies that influence product roadmaps and capabilities for language technologies.* Pioneer and implement cutting-edge modeling techniques for machine translation quality assessment and pipeline optimization, leading the team's scientific agenda. Invent new methodologies when existing approaches fall short, advancing the state-of-the-art.* Serve as a recognized expert in LLM applications for e-commerce translation, communicating complex concepts to diverse stakeholders including senior leadership. Influence organization-wide adoption of innovative approaches in language translation technologies.* Actively mentor team members, elevating scientific capabilities and fostering a culture of innovation and rigorous inquiry in machine translation and evaluation.About the teamWe are a start-up mindset team. As the long-term technical strategy is still taking shape, there is a lot of opportunity for this fresh Science team to innovate by leveraging Gen AI technoligies to build scalable solutions from scratch.Our Vision: Language will not stand in the way of anyone on earth using Amazon products and services.Our Mission: We are the enablers and guardians of translation for Amazon's customers. We do this by offering hands-off-the-wheel service to all Amazon teams, optimizing translation quality and speed at the lowest cost possible.BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

As a Senior Applied Scientist in Worldwide Defect Elimination - Amazon Stores Customer Service (ASCS) at Amazon, your role is pivotal in leveraging statistics/machine learning (ML) techniques to address customer issues at scale. You'll lead the development of innovative solutions that use causal inference to drive business decisions. You will utilize the latest in ML to comb over our billions of contacts (using a combination of media). You will lead the development of the production design and implementation of your science models. As a part of this role, you will collaborate with a large team of experts in the field (including economists) and move the state of research forward.Key job responsibilities- Research and Development of Cutting-Edge Modeling techniques for statistics / ML and causal inference.- Establishing scientific culture and standards for all the scientists (publication, best practices, reviews, etc.)- Delivering solutions to the core business problems above and influencing business partners- Develop scientific talent on the team 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!Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:1. Medical, Dental, and Vision Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) PlanAbout the teamThe Worldwide Defect Elimination team's mission is to understand and resolve all issues impacting customers at scale. The Customer Service Economics & Optimization team is a force multiplier within this group, helping to understand the impact of these issues, changes to our policies, and optimizing the customer experience through causal analysis of data. BASIC QUALIFICATIONS- PhD, or Master's degree and 6+ years of applied research experience- 3+ years of building machine learning models for business application experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

Job Description Finvari is a quickly growing fintech company that is revolutionizing payments in the construction industry. We’re honored to work with some of the largest and most innovative construction companies in the United States and pride ourselves in building customer-centric software that improves the lives of those construction employees working in the field and in finance and accounting. We want our customers spending time building the infrastructure of tomorrow, not dealing with manual and repetitive tasks involved with payments. ...

Come to Comcast and bring connection to life We believe you can achieve extraordinary things when you feel connected - to the work you do and who you do it with. From the platforms we provide to millions of people, to the content and experiences we create - we bring our customers, viewers and teammates closer together across the globe. ...

The Strategic Account Services (SAS) 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. We are seeking an experienced, motivated, self-directed Senior Business Analyst to join our team. You must thrive on solving complex problems and providing insights to help us improve the business and seller experience. You will generate insights that will guide operational excellence and product development for our customers. Data analysis 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 have the opportunity to work with a large and complex data warehouse to gather insights using data from across Amazon. These efforts will improve the ways in which we service our sellers and improve the business performance for SAS. We are looking for someone with a broad technical background in data analytics, strong business acumen, who takes ownership of their work, and is focused on customer needs - you will own central team mechanisms, and help senior leaders make key business decisions. The successful candidate will communicate crisply in non-technical terms to senior management. They will have an ability to make data-driven conclusions and will be comfortable with ambiguity while working in a fast-paced dynamic environment. The candidate will also need to be a collaborator who can work with internal and external teams to define and implement solutions that will yield benefits to Amazon customers around the world.Key job responsibilities• Build a data structure and reporting process by working through various business parameters, which establish truth in data• Understand the business challenges and identify data-driven business insights with effective presentation of findings at multiple levels of stakeholders• Design and conduct experiments on the effectiveness and efficiency of different initiatives to improve key output metrics and help shape the long-term strategy• Leverage data to increase the efficiency of our programs working closely with the business teams to drive optimization• Update existing and create new metrics and reporting that help drive business conclusions, continually improving reporting and analysis processes• Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards to help determine key business conclusions• Recognize and adopt best practices in reporting, analysis, and research (data integrity, test design, analysis, validation, and documentation)BASIC QUALIFICATIONS- Bachelor's degree- 5+ years of tax, finance or a related analytical field experience- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau- 3+ years of experience writing SQL queries and creating business intelligence reports ...

Do you want to work hard, have fun, and make history? Do you think fast, dive deep, and get things done? Are you passionate about solving large scale customer and business problems through insightful analytics and automation? Do you aspire to bridge the gap between analytics and product? The Customer Service Worldwide Defect Elimination (WWDE) team seeks a highly skilled and detail-oriented Sr. Business Analyst with experience in business reporting, cost/benefit analysis, product performance measurement, and analytics automation. As a Sr. Business Analyst, you will play a pivot role in shaping our product strategy and how best to serve customers. Key job responsibilitiesIn this role, you will partner closely with key stakeholders in the WWDE Product and Tech org to dive deep into voice of customer (VoC) feedback, business challenges, and performance data to unearth crucial insights. You will partner closely with product and program managers to translate user and customer feedback into actionable insights that guide customer experience (CX) improvements as well as guide feature development across a suite of WWDE products. You will develop new, scalable ways to measure the business impact of key investments, processes, and product features used by tens of thousands of Amazonians. You will work backward from customers and users to design and deliver analytics-embedded products and tooling that can be automated and scaled globally. You are expected to be able to work independently and with ambiguity in a complex, fast-paced, and high-throughput environment where multi-tasking is required. This position has a high degree of visibility, so you will need to be able to communicate insights and actions, including the ‘so what,’ clearly and compellingly at all levels of the company. You should have a positive attitude, collaborative work style, and strong work ethic; you will work fast and smart, and adapt and iterate quickly. A day in the lifeOn a daily basis, you will partner closely with program and product leads to drive visibility and maximize ROI across key initiatives within WWDE. You will contribute to weekly and monthly business reviews, drive product feature trade-off decisions, and lead performance measurement efforts. You will also have the opportunity to contribute to product strategy and delivery, monthly roadmap reviews, and organizational goal setting. 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!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- 5+ years of business or financial analysis, product costing, procurement, or a quantitative role 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 QuickSight dashboard and visual creation- Experience with Excel- Experience with SQL- Bachelor's degree ...

Amazon has hundreds of millions of customers, sellers, and developers all over the world that rely on Amazon products and services. Selling Partner Services (SPS) is the organization that constantly makes high judgment decisions across a wide breadth of constituents. Preserving Trust in Amazon with every customer, every transaction, every second is our mission. We do this by identifying and removing bad actors from the platform, while supporting a best-in-class customer experience. We ensure that Amazon is a safe and trustworthy place to shop and an amazing place to build a successful business selling products.Do you want to be at the forefront of engineering machine learning and big data solutions that revolutionize financial risk mitigation models? Do you have a solid analytical mindset, make data-driven decisions, and want to solve problems with solutions that meet the growing global demand for secure financial instruments? Are you excited by the prospect of analyzing large amounts of data to solve real-world problems? Do you like to innovate and simplify? We are looking for top-notch and experienced Business Analyst to join our Disbursement Trust team. This role requires an individual with excellent analytical abilities as well as outstanding business acumen and comfort with teams and systems. The ideal candidate will draw upon advanced analytical, problem solving skills, and passion for delivering business insights and analytics. We look for candidates who are excellent communicators, self-motivated, flexible, hardworking, and who like to have fun. This role will have high level visibility due to the nature of the toolsets being maintained, built, and the network impact of analysis conducted.Key job responsibilities- Report key insight trends, using statistical rigor to simplify and inform the larger team of noteworthy story lines.- 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.- Create models that optimize the resources, inputs & outputs of risk operations 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.About the teamHere at Selling Partner Services, we embrace our differences. We are committed to furthering our culture of inclusion. Our 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 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 help each team member develop into a better-rounded professional.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 with SQL- Experience making business recommendations and influencing stakeholders ...

Climate Pledge Friendly helps customers discover and shop for more sustainable products. We partner with trusted third-party certifications to highlight products that meet sustainability standards and help preserve the natural world. By shifting customer demand towards more sustainable products, we will incentivize selling partners to build more sustainable products that support our commitment to preserve the natural world.The Climate Pledge Friendly (CPF) team is seeking a Senior Business Development Manager to strengthen partnerships with some of the world’s most sustainable brands. You will be responsible for expanding CPF selection through your selling partners, strengthening relationships with key influencers and decision-makers from selling partners to influence product development roadmaps, highlight environmental impact areas, and amplify storytelling for brands after launch. You will be responsible for evangelizing CPF and building a business case with your selling partners, and with internal stakeholders and cross-functional teams to create a compelling case for selection expansion, for driving adoption of new qualification pathways when launched, and pursuing business growth opportunities for CPF selection. The successful candidate is a self-starter, strong communicator and has a proven track record of meeting and exceeding program goals and targets, and has experience leveraging and coordinating with cross functional teams. They will operate strategically, ensuring that the world’s most credible products from trusted brands qualify for CPF, making us the world’s #1 trusted destination to discover sustainable products.Key job responsibilities• Build strategic relationships and own negotiations with selling partners in the categories, influencing executives to adopt shared goals and grow selection in support of CPF’s mission• Identify, prospect and secure new opportunities and operate as the primary point of contact for your key selling partner in selection on-boarding, escalations, and negotiations• Own goals to increase CPF penetration across selling partners, and assist category teams in achieving their CPF penetration targets• Help build internal support for new internal and external initiatives focusing on selection opportunities, business growth and building a strong pipeline of sustainable selection• Coordinate across cross-functional teams and categories to identify opportunities for collaboration and streamline selling partner engagement initiatives• Develop a thorough understanding of the space, business trends, events, and continually monitoring industry developments and influencing selling partners to adopt higher standards• Identify partner marketing opportunities to drive sustainability across marketing channels on and off Amazon.com• Identify and on-board strategic Amazon holdouts, targeting brands with the most compelling reputations for sustainable innovationA day in the lifeAs a Senior Business Development Manager, you will have accountability for expanding CPF selection for the selling partners/categories you manage. During a typical day you would find yourself meeting with leadership team of a major brand and dive into the details of their product roadmap, identifying certification pathways and work towards getting them signed, prospecting and reaching out to CSOs of large brands to pitch CPF and build joint sustainability road map. During a typical day, you would be part of a cross-functional meeting to discuss brand onboarding pipeline, review and prepare for upcoming brand leadership meetings and collaborating with partner teams. You would be meeting with selling partner and stakeholder teams on expanding selection and finalizing CPF specific promotion plan for an upcoming event, deep dive into metrics for weekly business reviews, be part of a cross functional and category leadership discussions to align on and track CPF goals among many other initiatives you would be driving to develop and grow Selling Partner relationships, increase CPF selection and topline and creating best-in-class sustainable shopping experiences for customers.About the teamAt CPF, we are an ambitious and purpose-driven team on a mission to help customers discover and shop for more sustainable products. Our team is motivated by a shared passion for sustainability and commitment to preserve our natural world, and to create best in class sustainable shopping experiences for our customers. If you are looking for a team that strikes balance between audacious goals and mutual support and a learning culture, and Leadership that has your back, pushes you to excel, and cheers you on along the way, then come join us.BASIC QUALIFICATIONS- 5+ years of professional or military experience- Experience with business development, partnership management, or sourcing new business- Experience in setting up and managing a sales pipeline- Experience with sales CRM tools such as Salesforce or similar software- Bachelor's Degree ...

Senior Business Intelligence Engineer, Amazon Logistics Japan, ORBIT Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you? If so, the World Wide Amazon Logistics, Last Mile team is for you. We manage the delivery of tens of millions of products every week to Amazon’s customers, achieving on-time delivery in a cost-effective manner to deliver a smile for our customers.Amazon Logistics is looking for a customer focused, innovative and technically skilled Sr. Business Intelligence Engineer to drive effective performance measurement and management, innovation and execution in last mile delivery. This position will be responsible for building out analysis and visualization tools and processes to support our growing Amazon Logistics business in Japan and Worldwide.The successful candidate will be able to effectively retrieve, integrate, visualize and present critical data to improve the efficiency of the package delivery network, and enable efficient management of a large global logistics system. This individual will work with technical and business teams to optimize planning, execution, process improvement and track progress against goals. This role requires an individual with excellent analytical abilities as well as excellent business acumen and comfort with technical teams and systems. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and enjoy working with large scale of data. ...

Job ID: 2851293 | Amazon.com Services LLC Overview of role Business Data Analytics is a critical function at eero, reporting to the Head of Business Operations. This technical role, which falls under the Business Intelligence Engineering job family, will be responsible for analyzing large sets of business data and building automated dashboards and reporting. They will work closely with the Sales, Marketing, Finance, BI, Manufacturing, and several other Operations teams to develop robust end-to-end analytical workflows and data-informed analyses, ultimately supporting successful business growth, operational efficiency, and sales acceleration. As a Senior Business Intelligence Engineer, you will be responsible for architecting scalable, best-in-class business intelligence solutions and processes. This is a highly visible role in which you will have a high degree of autonomy and outsized impact. ...

Senior Business Intelligence Engineer, Japan Consumer Innovation (JCI), Data Services & Technologies Are you passionate about working with data, driven to dive deep and automation, and eager to make broad business impact? Are you interested in building business intelligence solutions from the ground up?The Japan Consumer Innovation organization is looking for an experienced, driven, and customer-centric Senior Business Intelligence Engineer to become a key member of one of our central BI teams. You will play a key role to partner with business teams to reimagine the vendor experience for inbound, drive process streamlining and service innovation, ultimately delighting our vendor partners with a first-of-its-kind B2B experience. You will build data and business intelligence solutions that will help vendors grow their supply chain capabilities and drive down cost.An ideal candidate will be logical, innovative, flexible, relentless in ensuring data quality and reliability, is a life-long learner and will love to work collaboratively with cross-functional business teams empowering them to provide deep insights to drive action and success for the entire organization. ...

Senior Business Intelligence Engineer, LATAM Marketplace Are you looking for a new challenge in a fast-paced, innovative company? Come make history in Amazon’s LATAM team! We are looking for talented Business Intelligence Engineer for Amazon Marketplace. Amazon strives to be Earth's most customer-centric company, where people can find and discover virtually anything they want to buy online. Over 2 million sellers in 10 countries list their products for sale on the Amazon Marketplace. Sellers are a critical part of Amazon’s ecosystem to deliver on our vision of offering the Earth’s largest selection and lowest prices. ...