Business Intelligence

Amazon is seeking an experienced Business Analyst to join our Selling Partner Experience (SPX) Finance team. In this pivotal role, you will serve as a critical contributor focused on driving financial planning, forecasting, and reporting to ensure visibility into the performance of our growing programs.The ideal candidate will have a proven track record of using advanced data analysis and SQL skills to provide strategic decision support. You will work closely with leadership to offer guidance, oversight, and support in this exciting and evolving space.As the Selling Partner business has rapidly expanded worldwide, we need to scale our financial planning and reporting models. In this role, you will focus on building and enhancing critical financial models, uncovering key insights, and communicating your findings to key stakeholders.In addition to your core analytical abilities, you will also contribute to the development of policies, processes, and tools to address Seller-facing challenges in collaboration with cross-functional teams. This position requires a critical thinker with strong organizational, problem-solving, and communication skills.At the heart of this role is a passion for using data to discover and solve real-world problems. You will have the opportunity to work in a fast-paced, ambiguous environment and directly influence the success of our Selling Partner Experience.Key job responsibilities- Build and maintain recurring metrics and reports.- Complete ad hoc data retrieval and analysis using relational databases, Excel and other data management systems.- Design and implement reporting solutions enabling stakeholders to manage the business and make effective decisions.- Oversee financial reporting for your business area. Understand input drivers and validate integrity of the reporting to influence strategic decision-making and planning. Use data to identify disruptive ideas and provide advice to business leaders across the globe. - Build financial model, sensitivity analysis and provide recommendations for new business initiatives.- Conduct impactful data analyses to identify opportunities, develop recommendations, and effectively communicate complex financial insights to drive critical business decisions through clear, concise, and tailored written and verbal presentations.BASIC QUALIFICATIONS- 3+ years of tax, finance or a related analytical field experience- 3+ years of business analyst, data analyst or similar role experience- Experience with SQL- Experience with Excel- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders ...

As an Applied Scientist on our Learning and Development team, you will play a critical role in driving the design, development, and delivery of learning programs and initiatives aimed at enhancing leadership and associate development within the organization. You will leverage your expertise in learning science, data analysis, and statistical model design to create impactful learning journey roadmap that align with organizational goals and priorities.Key job responsibilities1) Research and Analysis:Conduct research on learning and development trends, theories, and best practices related to leadership and associate development.Analyze data to identify learning needs, performance gaps, and opportunities for improvement within the organization.Use data-driven insights to inform the design and implementation of learning interventions.2) Program Design and Development:Collaborate with cross-functional teams to develop comprehensive learning programs focused on leadership development and associate growth.Design learning experiences using evidence-based instructional strategies, adult learning principles, and innovative technologies.Create engaging and interactive learning materials, including e-learning modules, instructor-led workshops, and multimedia resources.3) Evaluation and Continuous Improvement:Develop evaluation frameworks to assess the effectiveness and impact of learning programs on leadership development and associate performance.Collect and analyze feedback from participants and stakeholders to identify strengths, areas for improvement, and future learning needs.Iterate on learning interventions based on evaluation results and feedback to continuously improve program outcomes.4) Thought Leadership and Collaboration:Serve as a subject matter expert on learning science, instructional design, and leadership development within the organization.Collaborate with stakeholders across the company to align learning initiatives with strategic priorities and business objectives.Share knowledge and best practices with colleagues to foster a culture of continuous learning and development.BASIC QUALIFICATIONS- 3+ years of solving business problems through machine learning, data mining and statistical algorithms experience- Master's degree in operations research, applied mathematics, theoretical computer science, or equivalent- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in building machine learning models for business application ...

Amazon.com strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online by giving customers more of what they want - low prices, vast selection, and convenience - Amazon.com continues to grow and evolve as a world-class e-commerce platform. Within Amazon, the Selling Partner Services’s (SPS) goal is to enable third-party Sellers of any size by helping them build the business they want. We are the Core Selling Partner Experience (CSPE) team which defines, implements, and enforces quality standards for all Amazon-built experiences for all SPs worldwide. Key job responsibilitiesTo support this vision, we are seeking a Business Analyst to build analytical tools that will ultimately be a key driver in driving the growth of the company. You will leverage our data to drive operational efficiencies, provide key data-driven insights, enable new opportunities and innovate on behalf of Selling Partners. You will drive future solutions that will impact how we capture sentiment for new Selling Partners and delight our existing ones, and you'll have a lot of fun along the way!As you further your career as a Business Analyst at Amazon, you will focus on improving corporate reporting frameworks and data visualization. You will research performance data, discover and solve real world problems and build metrics and business cases to make strategic business recommendations. We are focused on your success and want to build and support passionate innovators within Selling Partner Services.Key job responsibilities• Lead the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc.• Partner with operations/business teams to consult, develop and implement KPI’s, automated reporting/process solutions, and process improvements to meet business needs.• Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format.• Prepare and deliver business requirements reviews to the senior management team regarding progress and roadblocks.• Participate in strategic and tactical planning discussions. Preparing and delivering business reviews to the senior management team regarding progress and roadblocks.• Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support our business needs.We are open to hiring candidates to work out of one of the following locations:Seattle, WA, USASunnyvale, CA, USABASIC QUALIFICATIONS- 5+ years of tax, finance or a related analytical field experience- 5+ 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 making business recommendations and influencing stakeholders ...

The Learning & Development Science team in Amazon Logistics (AMZL) builds state-of-the-art Artificial Intelligence (AI) solutions for enhancing leadership and associate development within the organization. We develop technology and mechanisms to map the learner journeys, answer real-time questions through chat assistants, and drive the right interventions at the right time. As an Applied Scientist on the team, you will play a critical role in driving the design, research, and development of these science initiatives.The ideal candidate will lead the research on learning and development trends, and develop impactful learning journey roadmap that align with organizational goals and priorities. By parsing the information of different learning courses, they will utilize the latest advances in Gen AI technology to address the personalized questions in real-time from the leadership and associates through chat assistants. Post the learning interventions, the candidate will apply causal inference or A/B experimentation frameworks to assess the associated impact of these learning programs on associate performance. As a part of this role, this candidate will collaborate with a large team of experts in the field and move the state of learning experience research forward. They should have the ability to communicate the science insights effectively to both technical and non-technical audiences.Key job responsibilities* Apply science models to extract actionable information from learning feedback* Leverage GenAI/Large Language Model (LLM) technology for scaling and automating learning experience workflows* Design and implement metrics to evaluate the effectiveness of AI models* Present deep dives and analysis to both technical and non-technical stakeholders, ensuring clarity and understanding and influencing business partners* Perform statistical analysis and statistical tests including hypothesis testing and A/B testing* Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentationBASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

SCOT's Automated Inventory Management (AIM) Planning team is seeking a Business Intelligence Engineer 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 support inventory management innovation, 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 deliver 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.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 ...

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 ...

DESCRIPTIONCome build the future as a Data Engineer at Amazon, where you will be inspired working along best-in-class inventors and innovators! You will have the opportunity to create meaningful experiences that deliver on the ever-evolving needs of our customers, and your work will impact millions of people around the world.As an Amazon Data Engineer, you will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable. You will find that there is an unlimited number of opportunities within Amazon, where developing your career across a wide range of teams is highly supported. We are committed to making your work experience as enjoyable as the experiences you’ll be creating for our customers.Build new generation features and products for amazon.com, constantly improving the Customer experience for billions around the globe. Are you interested in being part of a high-impact and growing business? Are you passionate about creating best-in-class software using AWS and Machine Learning? The Amazon Private Brands Discovery team helps customers discover and engage with new, popular, and relevant products and categories from our private brands across Amazon worldwide. We do this by combining technology, science, innovation, and creativity to build new customer-facing features and experiences.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• Design, implement, and support a platform providing secured access to large datasets.• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.• Tune application and query performance using profiling tools and SQL.• Analyze and solve problems at their root, stepping back to understand the broader context.• Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use.• Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume using AWS.• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets.• Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines ...

AI is going to transform the Business Intelligence function at Amazon, and the Companion Products and Services Organization's Business Insights team (ComPAS BI) in Devices is looking for a Senior Business Intelligence Engineer to lead our team through the transformation. ComPAS BI supports the Amazon Device Accessories and Companion Products Business (Amazon Smart Plug, Fire TV Soundbar, Star Wars Accessories, and more) and the Pre-Owned Devices and Device Trade-In program. These businesses are some of the fastest-growing businesses in Amazon Devices, in no small part due to ComPAS leadership's continued investment in technology. The ComPAS BI team is looking for a visionary Business Intelligence Engineer who will help set the course for the future of data and analytics in ComPAS. ComPAS BI is a newer team with a near-infinite runway of interesting problems to solve, mechanisms to refine, and stakeholders to work with. Our stakeholders span across functions (Sales and Marketing, Product Management, Finance, Operations, Planning, and Software Engineering, to name a few) and touch every product line in the Devices business (including Echo, Fire TV, Kindle, Fire Tablet, Ring, Blink, Eero, Health and Wellness, and Project Kuiper). This role has wide scope from the start and huge opportunity to grow both technical and leadership skills. Key job responsibilities- Own the end-to-end project management and execution of our some of our most important reporting and analytics projects, many of which have direct impact on our end customers and drive real growth in the ComPAS business- Own, experiment with, and iterate on key mechanisms (roadmap planning, project management, intake and workflow, etc.) that enable us to deliver great results for our stakeholders through thoughtful organization and communication- Be the example for ComPAS BI team members of what delivering at the Sr. BIE level looks like, and provide mentorship and coaching to grow your team members to deliver results at the same level- Create a vision for what our BIE function should look like when operating as a best-in-class organization by learning and applying the latest techniques and technologies, defining and refining BIE best practices, and sharing your knowledge with the teamA day in the lifeOur team members aim to spend their time in this way: - 50% Roadmap project work, with each team member working on one large project at a time.- 10% On call, with our on-call team member handling any urgent requests or data issues that our stakeholders bring to us.- 10% Ad-hoc requests, with ad-hoc being any non-urgent request that takes less than two days to complete.- 10% Keep-the-lights-on (KTLO) tasks including supporting regular business reviews and recurring reporting maintenance. - 10% Meetings, events, and mechanisms - 10% Exploration, learning, and new skills development- For our Sr. BIE, this allocation will be slightly different. This new team member will spend less time on Ad-hoc and KTLO and more time on leadership work (learning, mentoring, vision setting, and influencing). About the teamThe ComPAS BI team was formed in September 2023 by bringing together the BIEs from the Pre-Owned Devices and Accessories businesses under a single-threaded leader, then adding two data scientists. When the team formed, we came together for a three-day intensive where we defined our mission and vision and examined all our existing processes and workflows for what worked well and what didn't. Together as a team, we created our plan for becoming one ComPAS-wide BI organization with one set of mechanisms and processes. This is what our team is laser-focused on implementing and refining today. Teamwork and respect are the foundation of our organization's culture, and we care deeply about everyone bringing their unique perspective to influence our team's direction. Creating a work environment where our team members are included, inspired, challenged, and excited about their career trajectory is our leadership's top priority. BASIC QUALIFICATIONS- 8+ 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 ...

Are you excited about the digital media revolution and passionate about designing and delivering advanced analytics that directly influence the product decisions of Amazon's digital businesses. Do you see yourself as a champion of innovating on behalf of the customer by turning data insights into action?The Amazon Digital Acceleration (DA) org is looking for an analytical and technically skilled individual to join our team. In this role, you will play a critical part in developing foundational data instrumentation components to seamlessly surface relevant digital content to Amazon customers.An ideal individual is someone who has deep data engineering skills around ETL, data modeling, database architecture and big data solutions. This individual should have strong business judgement, excellent written and verbal communication skills.Key job responsibilities - Develop data products, infrastructure and data pipelines leveraging AWS services (such as Redshift, Kinesis, EMR, Lambda etc.) and internal BDT tools (Datanet, Cradle, QuickSight etc. - Improve existing solutions and come up with next generation Data Architecture to improve scale, quality, timeliness, coverage, monitoring and security. - Partner with Software Developers, Business Intelligence Engineers, MLEs, Scientists, and Product Managers to develop scalable and maintainable data pipelines on both structured and unstructured (text based) data.A day in the lifeThis team is a dynamic group of data engineering and analytics professionals dedicated to developing innovative data products, providing data-driven services, and empowering the organization with robust business intelligence. Composed of talented individuals from diverse backgrounds, we foster a collaborative culture of excellence, knowledge-sharing, and collective problem-solving.We are committed to staying at the forefront of data trends, continuously expanding our expertise to deliver tailored solutions that address our stakeholders' evolving needs.About the teamAmazon Digital Acceleration powers ordering, subscriptions, and device management for Prime, Amazon Video, Music, Audible, Alexa, and Kindle, amongst other digital businesses. We process billions of digital purchases every year and enable our digital businesses to grow their businesses worldwide. We are on a mission to be earth's best provider of one-time and recurring digital commerce, delivering a seamless and enjoyable post-purchase customer experience.BASIC QUALIFICATIONS- Bachelor's degree- 3+ years of data engineering experience- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data modeling, warehousing and building ETL pipelines- Knowledge of distributed systems as it pertains to data storage and computing- Experience working on and delivering end to end projects independently- Coding proficiency in at least one programming language (Python, Ruby, Java, etc) ...

Have you ever ordered a product on Amazon and when that box with the smile arrived, wondered how it got to you so fast? Wondered where it came from and how much it cost Amazon? If so, the Amazon Global Supply Chain Optimization Technologies organization is for you. Watch this video to learn more about our organization, SCOT: http://bit.ly/amazon-scotThe Amazon SCOT organization is expanding our Direct Fulfillment (dropship) business and we are looking for a Senior Business Intelligence Engineer to join the team. Direct Fulfillment helps provide Amazon customers the broadest in-stock selection, at the quality and speed of delivery they have come to expect from Amazon at the best possible cost structure for Amazon. Direct Fulfillment allows Amazon to fulfill customer orders directly from our vendor’s warehouse and is one of the fastest growing supply channels at Amazon. The ideal candidate relishes working with extremely large volumes of data, enjoys the challenge of highly complex technical contexts, and above all, is passionate about data and analytics to impact business decisions. They should have strong analytical skills, independently blend data from multiple sources, drive consensus and connect business to data. They must also be passionate about partnering with the data scientists, business analysts and other business stakeholders & dive deep to identify root causes and provide actionable insights.They should be comfortable with technologies like EMR, Redshift and have ability to author complex dashboards that enable business to cut through noise. They should be a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail), excellent communication skills and enjoys working in a fast-paced and global team.Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation / AgeKey job responsibilities- Deep dive into operations execution and business problems, use analytical and statistical rigor to identify trends and opportunities to driv data-driven decisions- Improve business results through creating best-in-class metrics, analysis, visualizations, and data-driven storytelling- Adopt best practices in reporting and analysis: data needs, data integrity, test design, analysis, validation, and documentationBASIC QUALIFICATIONS- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience ...

Amazon Renewed is the home of high-quality pre-owned and refurbished products in thirteen marketplaces (NA3, EU7, IN, AU, JP) with supply from qualifying 3P Sellers, Retail Vendors and Amazon. We aspire to transform how Customers discover and buy high-quality pre-owned products by providing a Customer experience that combines the trust and convenience of buying New with the savings of buying Used. We earn Customer trust by setting a high and consistent bar for like-new product quality, qualifying and performance managing Suppliers, and attaching an extended warranty to all Renewed products. We are seeking a self-driven, analytical Sr. Business Intelligence Engineer with strong business acumen to help grow the global Renewed business through data driven invention and simplification. This is the perfect role for anyone who is excited about leveraging the latest in data analytics to raise the bar on a growth program’s capabilities. Our ideal candidate should be comfortable sitting at the intersection of data engineering, business intelligence, and business analysis, and will be asked to deliver across all three vectors. He/She should be passionate about working with disparate datasets and be someone who loves to bring data together to answer business questions. He/She will need to collaborate effectively with internal stakeholders, cross-functional teams to solve problems, and deliver information about our leaders that we might never have considered. This position represents an exciting opportunity to be a part of a dynamic and high paced environment. Key job responsibilities• Manage Data Structure –Research and source new data opportunities. Partner with other BIEs across NA Stores (and beyond) to understand present sources and connect to new sources of data. Partner with Data engineering team to define the data elements and data structure that the team should leverage to enable new capabilities or improve existing ones.• Deliver Data Insights – Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. Make recommendations for new metrics, techniques, and strategies to improve the operational and quality metrics. Manage reporting development processes to ensure we build the right tools at the right time. Design, implement, and support reporting platforms that provide business teams ad-hoc access to large datasets (e.g. data visualization tools for non-tech business users). • Influence Leadership & Peers – Display analysis and insights in front of influential audiences in a way that efficiently and effectively gets them to understand key aspects of what the business is trying to accomplish. Additionally, be connected and influential within the Amazon BIE community.• Manage Diverse Stakeholders – Engage with leadership and diversified customer groups to understand the needs and recommend business intelligence solutions. Interface with business customers, gathering requirements and delivering complete reporting solutions. Participate in strategic & tactical planning discussions.• Ad Hoc Analysis – Write SQL queries to pull data from disparate databases so it can be analyzed. Conduct data analysis to support needs of the Renewed team. 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 ...

Amazon Robotics develops state-of-the art robotics for Amazon’s Fulfillment Centers, which handle more individual items than any company in the world. We are combining computer vision, mobile robots, advanced end-of-arm tooling and high-degree of freedom movement to solve real-world problems at huge scale. Our team collaborates with a variety of customers across Amazon worldwide to conceive, develop, prototype and deploy a wide range of robotic systems. Within Amazon Robotics, Global Operations - Artificial Intelligence (GO-AI) enables Amazon to accelerate and scale our machine learning transformation via human-in-the-loop support. GO-AI’s Technology & Development Team is a cross-functional team of Business Intelligence Engineers, Data Engineers, Software Developers, and Technical Program Managers who are responsible for the technical strategy and delivery for GO-AI. Key job responsibilities• Support leadership decision-making by deep-diving into business hypotheses and anecdotes. • Design and automate ETL pipelines for business metrics. • Design insightful dashboards and reports for a senior leadership with a mixture of technical and non-technical backgrounds. • Research the most appropriate methodologies for a given analytical problem. • Contribute to key business documents. • Collaborate with stakeholders to understand business domains, requirements, and expectations. • Work with owners of data source systems to gain insights into capabilities and limitations.• Manage the timeline and deliverables of projects, anticipate risks and resolve issues. • Adopt best practices in reporting: data integrity, test design, validation, and documentation. • Have knowledge of Artificial Intelligence (AI) / Machine Learning (ML) and other industry solutions in this space to know when to apply what to solve business problems. • Excellence verbal and written communication skills. A day in the lifeAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision 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!BASIC QUALIFICATIONS- 10+ years of professional or military experience- 5+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience with theory and practice of design of experiments and statistical analysis of results- Experience with AWS technologies- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with theory and practice of information retrieval, data science, machine learning and data mining- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience building ETL pipelines and processes with large datasets- Experience using SQL to pull data from a database or data warehouse- Knowledge of data warehousing and data modeling- Bachelor's degree in engineering, computer science, mathematics, economics or relevant field ...

This position will lead the development of data analyses to assess the accuracy of headcount planning inputs and establish strong mechanisms to meet planning accuracy targets and ongoing changes in customer need.Selling Partner Services 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.The SP-Support team within Selling Partner Services handles the majority of support interactions with Selling Partners (Sellers, Vendors, and Brand Owners), but also work with many other teams across Selling Partner Services and other Amazon teams to collectively solve Selling Partner issues. This role will join our cross-functional headcount planning team, Global Planning, and work closely with various stakeholders world-wide such as Finance, Operations, Regional Capacity Planners, Hiring and Training teams to develop data analyses to be used by downstream teams to plan staffing, cost, and root cause resolution approaches. In this role, the Business Analyst will support Global Planning by leading weekly, monthly, and quarterly business review processes; analyzing data (exports and other) to drive prioritization work, assess optimization opportunities, and completing ad-hoc analysis. This position will support and partner with senior leadership to provide data oversight and decision support in this rapidly evolving space. The successful candidate will be a self-starter, comfortable with ambiguity and be able to create and maintain efficient & automated processes. The ideal candidate must thrive in a fast-paced environment, have a strong sense of curiosity and initiative, focus on generating results within tight deadlines, and maintain a high standard of personal and professional integrity and ethics. The successful candidate will be a thought leader, with the ability to deep dive while thinking big. We are looking for a team-player to play a significant part in defining our team efforts. Key job responsibilities• Provide data management processes such as accessing raw data feeds, building queries and macros, writing SQL code, organizing data and designing reports that present status-at-a-glance visualization for business performance.• Retrieving and analyzing large sets of data using Excel, SQL, and other data management systems.• Designing and implementing reporting solutions to enable stakeholders to manage the business and make effective decisions.• Taking ownership of reporting processes to ensure that each report is accurate and timely with a high degree of customer focus in resolving data discrepancies.• Building and managing related key performance indicators (KPIs) to measure, control, and benchmark reporting processes.• Monitoring existent metrics, building new metrics, and partnering with internal teams to identify process and system improvement opportunities.• Supporting cross-functional teams on the day-to-day execution of the existent program implementation.• Generating complex queries to dive deep on process issues• Innovating to improve customer experienceBASIC 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- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders- Experience with Excel ...

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 between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign opportunities based on what will help each team member develop into a better-rounded contributor.Inclusive Team CultureHere at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Key job responsibilities• 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. ...

Hundreds of millions of customers, billions of transactions, petabytes of data… How to use the world’s richest collection of e-commerce data to provide superior value and better paying experience to customers ? The Amazon Payments Team manages all Amazon branded payment offerings globally. These offerings are growing rapidly and we are continuously adding new market-leading features and launching new products. Amazon.com has a culture of data-driven decision-making and demands business intelligence that is timely, accurate, and actionable. This team provides a fast-paced environment where every day brings new challenges and new opportunities. Our team of high caliber software developers, data scientists, statisticians and product managers use rigorous quantitative approaches to ensure that we target the right product to the right customer at the right moment, managing tradeoffs between click through rate, approval rates and lifetime value. In order to accomplish this we leverage the wealth of Amazon’s information to build a wide range of probabilistic models, set up experiments that ensure that we are thriving to reach global optimums and leverage Amazon’s technological infrastructure to display the right offerings in real time. As a Data Engineer you will be working in one of the world's largest and most complex data warehouse environments. You should be passionate about working with huge data sets and be someone who loves to bring datasets together to answer business questions. You should have deep expertise in creation and management of datasets. You will build data analytical solutions that will address increasingly complex business questions. You should be expert at implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports. These solutions will be fault tolerant, self-healing and adaptive. You will be working on developing solutions that provide some of the unique challenges of space, size and speed. You will implement data analytics using cutting edge analytics patterns and technologies that are inclusive of but not limited to various AWS Offerings - EMR, Lambda, Kinesis, and Spectrum. You will extract huge volumes of structured and unstructured data from various sources (Relational /Non-relational/No-SQL database) and message streams and construct complex analyses. You will write scalable code and tune performance running over billion of rows of data. You will implement data flow solutions that process data on Spark, Redshift and store in both Redshift and File based storage (S3) for reporting and adhoc analysis. You should be detail-oriented and must have an aptitude for solving unstructured problems. You should work in a self-directed environment, own tasks and drive them to completion. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions and to build data sets that answer those questions. You own customer relationship about data and execute tasks that are manifestations of such ownership, like ensuring high data availability, low latency, documenting data details and transformations and handling user notifications and training.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with SQL- Experience with data modeling, warehousing and building ETL pipelines- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR- Experience with Redshift, Oracle, NoSQL etc.- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets- Exposure to large databases, BI applications, data quality and performance tuning ...

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 WW Amazon Logistics (AMZL) Tech SME team is for you. We partner directly with software teams to develop the future of AMZL and manage the delivery of tens of millions of products every week to Amazon’s customers..The Amazon Tech SME team is looking for a customer focused, analytically 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 playing a key role in our team, building out analysis, tools, and processes that scale 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 outstanding 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.Key job responsibilities-Partner with internal stakeholders across multiple teams, gathering requirements and delivering end to end solutions.-Partner with Data Engineering and Software-Development Engineers to prioritize and define AMZL data and BI development needs.Work with in-house scientists, global supply chain, transportation and logistics teams to identify new BI capabilities and projects.-Analyze and visualize large scale geospatial logistics and transaction data to articulate user behavior or delivery process problems, and output solid analysis report with recommendation.-Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.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 ...

Join Amazon's Global Transportation Services team as a Business Intelligence Engineer II and play a pivotal role in shaping the future of our delivery network. You'll leverage your analytical expertise to optimize sortation and containerization strategies, influencing facility design and automation. This high-impact position offers the opportunity to drive data-driven decisions that enhance Amazon's transportation efficiency on a global scale.Key job responsibilities- Develop and maintain dashboards using tools like Tableau or Quicksight to visualize complex transportation data- Conduct in-depth statistical analyses using R, SAS, or Matlab to inform network design strategies- Create and optimize ETL pipelines to ensure data accuracy and accessibility- Collaborate with cross-functional teams to translate business needs into actionable insights- Automate processes to improve efficiency and scalability of data-driven decision makingA day in the lifeAs a Business Intelligence Engineer II, you'll start your day reviewing key performance metrics and updating dashboards for stakeholders. You might then dive into a project analyzing sortation patterns to identify optimization opportunities. After lunch, you could find yourself collaborating with the facility design team, using your insights to inform future automation strategies. Your day might conclude with a cross-functional meeting where you present your findings and recommendations for improving network efficiency.About the teamOur Global Transportation Services team is dedicated to revolutionizing Amazon's delivery network through data-driven innovation. We focus on end-to-end sortation and containerization strategies, constantly pushing the boundaries of what's possible in logistics. Our vision is to create the most efficient, sustainable, and customer-centric delivery network in the world. We value curiosity, analytical thinking, and a passion for solving complex problems.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 ...

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.Are you passionate about leveraging data to deliver actionable insights that impact the daily business decisions of AWS? Do you want to have an impact on making strategic deals come to life? Are you excited to solve business challenges through data analytics and business intelligence (BI) solutions? If so, we are looking for a Sr. Business Intelligence Analyst to join the Deal Tooling and Insights team to help solve business challenges through data analytics. Deal Tooling and Insights team provides tools, process monitoring, and bespoke analysis to our internal customers and help them meet their desired business outcomes while ensuring alignment with AWS business objectives.Successful candidates must have the ability to collaborate effectively across multiple technical and non-technical business units to deliver successfully against highest standards. The ideal candidate will have strong technical skills with business acumen, and detail-oriented with excellent analytical problem-solving skills. A keen sense of end-to-end ownership, drive, and scrappiness is a must.Key job responsibilitiesIn this role:• You will harness your business and technical skills to understand business requirements, conduct data analysis and provide actionable data-driven insights and decision support to senior leadership. • You will establish automated processes for large scale data analyses and create new metrics to measure the health of the business, support business strategy and enable the broader team to achieve its goals. • You will drive the development of new data enrichment tools and self-service reporting mechanisms to help scale and optimize the reporting processes across the organization. • You will work with Data Engineers, Product Managers and other stakeholders to find ways to measure complex problems and help quantify business impact of various initiatives. • You will communicate complex analytical results in a clear and easy-to-understand way and will drive towards simple, scalable solutions to difficult problems while considering edge cases and different tradeoffs.About the teamAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.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- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- 3+ years of experience programming to extract, transform and clean large (multi-TB) data sets- 3+ years of experience with data visualization tools such as Tableau, Quicksight, Power BI or similar tools- 3+ years of experience working directly with business stakeholders to translate between data and the business, while presenting and communicating results to senior leadership ...

Data Engineer Come build the future as a Data Engineer at Amazon, where you will be inspired working along best-in-class inventors and innovators! You will have the opportunity to create meaningful experiences that deliver on the ever-evolving needs of our customers, and your work will impact millions of people around the world. As an Amazon Data Engineer, you will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable. You will find that there is an unlimited number of opportunities within Amazon, where developing your career across a wide range of teams is highly supported. We are committed to making your work experience as enjoyable as the experiences you’ll be creating for our customers.Apply now and you will be eligible for Amazon Data Engineer positions that are based on your preferred location, team, and more. We’re hiring across Amazon Stores in the United States and Canada. Teams with available positions include, but are not limited to:• Consumer Technology: Build new generation features and products for amazon.com, constantly improving the Customer and Seller experience for billions around the globe. Whether building site wide features such as reviews and recommendations, category specific software for the likes of Pharmacy, Electronics, Digital Software and Video Games or seller infrastructure, there are a variety of complex problems to tackle using a range of technologies in the design of your technical solutions. • Operations Technology: Shape the future of transportation planning and execution on a global scale, that impacts hundreds of fulfillment centers, thousands of Amazonians, and millions of customers across the world. Your technology will support thousands of operators worldwide to design, build and run the best-in-class Amazon transportation network. We are building intelligent software to make transportation more reliable, faster, and less costly, providing a better and less expensive experience for our customers.• Human Resources Technology: Create a seamless experience for millions of Amazonians and/or candidates. Whether supporting technologies for onboarding, time and attendance, compensation, amazon.jobs, or recruiting, you’ll deliver robust feature sets, elegant designs, intuitive user interfaces and systems that make it easy for Amazonians to excel at performing critical business functions.About Us: Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance 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• Design, implement, and support a platform providing secured access to large datasets.• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.• Tune application and query performance using profiling tools and SQL.• Analyze and solve problems at their root, stepping back to understand the broader context.• Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use.• Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume using AWS.• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets.• Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines ...

We are open to hiring candidates to work out of one of the following locations:Seattle, WA, USAAmazon seeks an experienced Business Intelligence Engineer (BIE) to join the Deny Party Screening (DPS) team. Our mission is to prevent denied parties from transacting with Amazon businesses, including AWS, customers, vendors, sellers, subsidiaries etc. We build automatic mechanisms to detect and prevent prohibited transactions with the denied parties using a diverse set of algorithms and machine learning techniques. We screen over half a billion events every day, integrate with Tier 1 systems and deal with unique scaling challenges. We are still Day 1 and have an exciting road map to build Machine Learning (ML) and Analytics powered detection and resolution systems to help scale Amazon for years to come.In this role you'll own everything from ad-hoc reporting to long term analytical and statistical projects that will affect the effectiveness of the DPS team. You'll work with multiple Amazon Businesses and Functions, work with multiple data sources and a wide range of data technologies (e.g. Redshift,S3,Tableau,Quicksight etc.), stay abreast of emerging technologies, investigate and implement where appropriate.Key job responsibilitiesKey job responsibilities• Interface with business customers to gather requirements, drive reporting or analytic projects to help solve complex challenges.• Design, implement, and support datasets that provide structured data for reporting and analysis.• Develop reports and dashboards across various business teams to drive adoption and increase visibility into key measures of business performance.• Analyze billions of rows of data to find the root causes behind variances and drive business insights.• Investigate and implement new big data technologies to provide automatic resolutions to address business needs.A day in the lifeThe successful candidate will demonstrate good business acumen, experience in developing reports and conducting analysis, strong technical skills and communication skills, an ability to work effectively cross functional teams, and an ability to work in an ever-changing environment.About the teamDiverse ExperiencesAmazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why Amazon Security?At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.Inclusive Team CultureIn Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.Training & 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, training, and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.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 ...