Business Intelligence

Amazon.com is broadly recognized as #1 in Customer Service in the US and abroad. At Amazon, we drive innovation and customer obsession into everything we do, and this is especially true in the Customer Engagement Technology (CET) department. CET owns the technology to support and enhance our Customer Service Operations network through our Self-Service and Automation features, and various client applications.Amazon seeks a Business Intelligence Engineer to help promote the adoption of Data-Backed Experimentation and Analytics in Customer Service. We are a Customer-Obsessed team looking for someone who adheres to the highest data quality & governance standards, and can provide clear direction when surrounded by ambiguity.Key job responsibilitiesAs a Business Intelligence Engineer, you will support an emerging charter to enable experimentation and self-service analytics within Amazon's worldwide Customer Service organization. You will:• Design experiments of new software features by partnering with Product and Program Management teams• Define necessary success metrics and build the required data pipelines• Develop reporting and processes to enable self-service analytics by partnering with a worldwide team of Customer Service leaders• Introduce cloud technologies (such as AWS) to solve challenging problems related to warehousing large datasets, high-availability data visualization, and data self-service• Design and implement a reporting ecosystem and standards by working closely with technical managers, operations, and business leadsA day in the lifeCustomer Obsession: Achieve consensus on the inputs and associated success metrics that drive best-in-class Customer Service.Earn Trust: Partner with the Operations, Finance, and Data Science teams to establish the interaction model(s) necessary to drive data-backed business decision-making.Are Right, A Lot: Introduce analytical standards for data availability, quality, and visualizations; Develop mechanisms to detect and remediate defects and deviations.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!Benefits Summary:Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job sAbout the teamThe charter of the Business Intelligence team is to enable analytical insights about the usage, performance, and delivery of software. We accomplish this in four ways:- We publish and maintain the events standard and data enrichment layer used by customers and external partners to understand and describe activity.- We build and maintain self-service reports to enable users to independently measure performance across standard Operational Metrics and view the results segmented across common dimensions.- We enable insights by supporting hypothesis testing and maintaining self-service test-and-learn architectures.- We enable business decision-making by supporting run-of-business analytics.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 with forecasting and statistical analysis- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

Do you enjoy solving complex business problems, transforming data into insights, and using data to drive product decisions? In this position, you will directly support the creation of a global product that evolves the support experience for our Selling Partners. Data driven approach is at the core Amazon’s culture, and your work will have a direct impact on decision making and strategy for our team. You will work closely with product managers, SDEs, data engineers, operations teams, and senior management to define new metrics and project requirements and provide inputs towards defining solutions to business problems. You will learn and understand our global operations, database infrastructure, and existing system functionalities. After establishing this knowledge, you will need to develop a robust set of metrics and reporting solutions to help uncover opportunities, prioritize fixes, and influence leadership to help drive investments that reduce waste. Some of these metrics do not exist, requiring critical thought and data/metrics design. This will include complex analytics, mapping systems and datasets together, developing scalable reporting solutions, and producing narratives/documents outlining key insights and trends meant to drive investment as well as measuring the efficacy of solutions implemented over time to attribute success and impact. You'll build sustainable, scalable and automated analytics that help the organization understand opportunities for efficiency and performance improvements. With stakeholders across multiple teams, there will be frequent opportunities to influence significant decisions. RESPONSIBILITIES- Deep dive into large data sets to answer key business questions using SQL, Excel, and other data manipulation languages- Systematically identify data sources, perform analysis and build data pipelines to influence product roadmaps based on business problems.- Operate with significant autonomy to deliver results and achieve the goals and objectives of both your team and the broader organization.- Communicate complex insights to stakeholders, both verbally, in writing and through visualization and dashboards- Perform complex data research identifying opportunities to improve the effectiveness of our support mechanisms and provide analytical recommendations to business teams.A day in the lifeYou will work closely with product, program, and tech teams in order to stay connected to the ongoing feature launch roadmaps. The Selling Partners Support ecosystem is constantly evolving and our analytics systems must be maintained and adapted to ensure our measurement strategy and reporting mechanisms accommodate these changes. You will build a variety of analytics and visualization solutions to support our product features. You will autonomously perform deep dives, uncovering new trends/areas that may need attention. You will also work closely with our product team to help design experiments and look for new opportunities.BASIC QUALIFICATIONS- 3+ years of tax, finance or a related analytical field experience- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- 3+ years of business or financial analysis experience- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders- Experience with Excel ...

Senior Business Intelligence Engineer Come build the future as a Senior 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 Senior 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 Senior 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 responsibilitiesYou 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; build solutions to have maximum scale and self-service ability by stakeholders• 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- 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 ...

Are you excited to build and grow a new customer insights team that will influence flagship initiatives across Amazon and Prime? Do you enjoy using data and analytics to deliver actionable insights that support critical business decisions?We are looking for a dynamic self-starter to join Amazon's The US Prime & Marketing team and create cutting-edge business analytics, data collection and reporting. In this role, you will identify stakeholder business problems and needs, build new and optimize existing dashboards/reporting for a rapidly growing business. You will partner with data scientists, other business intelligence engineers, product managers, and marketers to identify new analytical approaches to team problems. You will also build robust technical solutions for both internal and external stakeholders, including automating team processes. If you are passionate about data, go deep to find insights, relentless in ensuring data quality and reliability, obsess over internal & external customers, and feel comfortable communicating with cross-functional stakeholders, you are the candidate we are looking for!Key job responsibilities• Deliver insights and analytical tools that drive tangible improvements across US Prime & Marketing• Support the business strategy, in close collaboration with leadership and US Prime & Marketing stakeholders to achieve priorities, goals, and measures of success.• Collaborate with engineering, data science and BI teams to acquire new data and use AWS tools to create new datasets.• Create weekly and monthly business review metrics and reports that directly drive business decisions.• Proactively measure and analyze data, identify risks/issues, and overcome hurdles to drive results.• Bring a high energy, results-oriented and resourceful mindset and quickly take control of your responsibilities.• Lead complex data analysis and maintain regular metrics reporting to help stakeholders gain insights into the program.• Use data science/statistical modelling tools in partnership with other BIEs and Data Scientists to develop next generation analyticsA day in the lifeThe Business Intelligence Engineer will spend most of their time understanding business problems, developing statistical/analytical models to better understand our data, automating manual processes, creating/productionizing metrics, and developing insights to inform our plans. They'll use these insights to create new models so we can optimize how we drive growth and performance. Finally, they'll engage with business stakeholders to align on and implement improvements and new processes/tools.About the teamNorth American Stores Customer Insights is a new and growing team of Business Intelligence Engineers (BIE) and Business Analysts (BA) supporting all programs and products within the US Prime & Marketing Technology team. The US Prime team is focused on delivering the most engaging, satisfying, and loved membership program that drives the Amazon flywheel by growing the member base and accelerating engagement with Prime benefits. The Marketing Technology team helps customers discover and engage with new, popular, and relevant products across Amazon worldwide. We do this by combining technology, science, and innovation to build new customer-facing features and experiences alongside cutting-edge tools for marketers.BASIC QUALIFICATIONS- 10+ years of professional or military experience- 7+ 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 ...

Amazon is looking for a highly analytical Engineer to join the CA Supply Chain Team. The Canada Supply Chain team is responsible for the long-term capacity and network architecture planning, as well as the short-term supply chain execution between Amazon’s sellers/vendors, fulfillment centers and downstream partners. This role will support planning, execution, optimization and continuous improvement in the supply chain consisting of hybrid Fulfillment Centers and dedicated cross dock buildings in future. The ability to diagnose problems and to conceive-build-implement solutions will be key to success.As a Business Intelligence Engineer, you will generate insights that will guide operational excellence and strategy for our customers. analysis is at the core Amazon’s culture, and your work will have a direct impact on decision-making and strategy for our organization. You will be gathering operational insights, run statistical analysis, mining making recommendations, and helping senior leaders make key decisions. You will have the opportunity to work with large and diverse data sets to gather insights from across, using AWS Infrastructure.The ideal candidates will have excellent analytical and statistical abilities, acumen and judgment, intense curiosity, strong technical skills, and written and verbal communication skills. They will have a strong bias toward driven decision-making. They will be a self-starter, comfortable with ambiguity, able to think and be creative (while paying careful attention to detail). They will enjoy working in a fast-paced dynamic environment. If you are excited about it, are results oriented, and want to join a growing analytics team within Amazon, this role is for you.Are you up for the challenge?Key job responsibilities- Design, develop and maintain scaled, automated, user-friendly systems, statistical analysis and prediction, reports, dashboards, etc. that will support the needs of the .- Apply deep analytic and skills to extract meaningful insights and learning from large and complicated sets using the appropriate statistical forecasting model and Machine Learning models.- Be hands-on with ETL to build pipeline to support automated reporting.- Serve as liaison between the planning and technical teams to achieve the goal of providing actionable insights into current performance, ad hoc investigations to support future innovations and continuous improvements. This will require gathering and manipulation, problem solving, and communication of insights and recommendations.- Build various rich visualizations to tell the story of trends, patterns, and outliers.- Recognize and adopt best practices in reporting and analysis: integrity, test design, analysis, validation, and documentation.BASIC QUALIFICATIONS- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field- 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 ...

Overview of roleBusiness 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.We’re looking for someone who:- Is both technically excellent in SQL, as well as strategically sound so they an partner the business teams well - Has extensive experience working directly with business teams, and most specifically, go-to-market (GTM) teams, such as Sales, Marketing and Partner Success - Is highly analytical and process-driven, can assist with strategic planning, drive decisions forward, execute on high-impact projects, and lead through influence. - Understands numbers intuitively: if the numbers don’t add up, you spot it first. If you find yourself or others repeating work, you automate it. - Demonstrates ability to think strategically and analytically about business, product, and operational challenges. - Has experience managing stakeholders at all levels. - Enjoys rolling up their sleeves in a fast paced startup environment and getting things done. - Is able to work cross-functionally with many teams and multi-tasks with a sense of urgency. - Has an uncanny ability to embrace ambiguity and see around the corners. - Has impeccable attention to detail, follow-through, and resourcefulness.Key job responsibilitiesWhat you will do:- Analyze large business and sales data sets to identify patterns, understand drivers, and generate insights to accelerate sales and drive operational efficiencies- Write queries to extract data and insights combining datasets within eero with Amazon datasets and or/publicly available datasets- Design, build, and maintain automated reporting, dashboards, and produce value-added data analyses to enable executive decision making or a change in the status quo: our business generates a lot of data and only so much can be analyzed effectively to drive decision making. As you get to know the business from multiple perspectives, you'll be responsible for proactively bringing together data insights and crafting data-informed stories. - Build the Business Intelligence roadmap: you will spot the highest priority business intelligence initiatives and improvement areas, and plan to address those in the short, medium and long term- Enable data access, literacy and self-sufficiency: As you work with various teams at eero, you will gather a sense of their business and data-related needs, and craft scalable solutions to address them. You will automate manual data collection and manipulation traditionally done in Excel, and create robust data marts where stakeholders can easily generate business insights.- Work closely with our Finance and BI teams on consolidating key data sources in one place, building the foundation to enable efficient data analysis across several business teams. - Drive weekly, monthly, and quarterly business reporting to leadership across eero and Amazon: you will be the hub for business data and communication, and act as the primary point of contact for key business data for some of eero’s largest sales channels. - Leverage Amazon systems and tools to effectively work with, process, and analyze large datasets- Deliver comprehensive, written strategy documents considering different types of data and inputs across a broad range of stakeholdersBASIC QUALIFICATIONS- 5+ years of SQL experience- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with AWS technologies- Knowledge of data warehousing and data modeling ...

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 ...

The Amazon Vendor Services (AVS) organization strives to improve the Amazon customer experience by working directly with Selling Partners to enable more selection, reduce defects, and drive growth across their businesses. Our team invents and innovates across technology, processes and people to enhance the services we offer, improve Selling Partner engagement and satisfaction, and build scalable solutions. Our team is responsible for building robust processes, identifying opportunities for improvement, and partnering with dependent teams to improve tools and systems for internal and external customers. As a BIE, you will develop, standardize, and report on data which drives efficiency and scalability for the AVS Program. You will work closely with business intelligence, data engineering, operations, marketing, and other Retail partners to improve the Selling Partner experience. You will develop and implement ideas that drive continuous improvement by simplifying processes and driving automation. This position provides opportunities to influence one of the high visibility and high impact areas in the organization. The ideal candidate is highly analytical, resourceful, customer-focused and team oriented, with clear communication skills and the ability to build effective relationships with key stakeholders. You are also have a history of delivering results in a fast-paced and dynamic business environment. Key job responsibilities- You will utilize your deep expertise in business analysis, metrics, reporting, and analytic tools/languages like SQL, Excel, and others, to translate data into meaningful insights through collaboration with scientists, software engineers, data engineers and business analysts. - Use analytical and statistical rigor to solve complex problems and drive business decisions- Mine data from database tables (ex. Redshift, MySQL, Oracle) using SQL and log files by writing scripts (ex. PERL, Python, UNIX)- Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership- Produce written recommendations and insights that will help shape effective metric development and reporting for key stakeholders- Simplify and automate reporting, audits and other data-driven activities- Partner with Engineering teams to enhance data infrastructure, data availability, and broad access to customer insights- To develop and drive best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation- Learn new technology and techniques to meaningfully support product and process innovationBASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

Prime Video is changing the way people watch movies and TV shows, with millions of titles available on-demand on Kindle, Fire TV, mobile devices, game consoles, Internet-connected TVs, and Blu-ray players. Are you excited about launching content on Prime Video and holding key impact on helping our business scale? Prime Video Trust & Safety programs aim to enable a globally trusted customer experience by ensuring that Prime Video (PV) provides content customers love and trust and accurate, meaningful and complete information to empowering customers to make informed viewing choices for themselves and their children.We are looking for a results-oriented individual to support Prime Video Trust & Safety risk planning and analysis for global customer trust and regulatory initiatives. You will manage a global team and partner with diverse stakeholders (Policy, Program, Legal, Tech, Science, Product) to mitigate large-scale business risks and drive key business insights. You will be responsible for running large-scale analyses and building metrics/KPIs to scale the Trust & Safety business, while proactively identifying defects and simplifying manual processes. If you love being at the forefront of industry growth and development, developing and executing processes in a highly ambiguous environment, identifying information gaps and collaboration needs, and driving business strategy, then this is the spot for you. This is a high impact role offering an opportunity to drive and influence business-critical decisions impacting the long-term future of Trust & Safety.Key job responsibilities- Manages a global team of analysts to proactively address emerging business risks. - Develop and communicate comprehensive KPIs/metrics, business risks, and data limitations.- Leverage reports and analytics to make recommendations in line with business strategy and goals.- Partner and collaborate with business partners and stakeholders to drive strategic projects.- Identify system and process improvement opportunities which will directly influence customer trust, regulatory compliance, and operational efficiency. - Manage and coordinate change management initiatives.- Participates in recruitment and selection activities including role modeling through hiring decisions and processes.- Manages performance and behavior of direct reports through effective 1:1 meetings, coaching and mentorship.- Maintains a positive and professional demeanor always portraying the site and company in a positive light and effectively managing sensitive issues.- Demonstrates excellent time-management skills and the ability to work independently while using departmental resources, policies and procedures.A successful candidate will need to:- Communicate ideas and business risk concisely to a wide variety of stakeholders for purposes ranging from informative to need for approvals from executives.- Embody a true pioneering spirit, willing to “get hands dirty” in a start-up environment while simultaneously developing processes, automation, and delivering results.- Clearly define data requirements and metrics, working with teams to implement the entire data flow from capture to presentation and management.- High attention to detail and proven ability to manage multiple, competing priorities simultaneously particularly during escalations and high-visibility events.- Keen on developing and training people to improve skills and capabilities for sustainable and continuous improvement.BASIC QUALIFICATIONS- 5+ years of direct experience in quantitative research or analysis- 3+ years in program & project management- 3+ years building forecasting and/or planning models in Excel or other more advanced tools- Direct supervisory and people management experience ...

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to these questions and you’ll fit right in here in Mechatronics and Sustainable Packaging Integrated Systems team. We are a smart team of doers that work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we can’t imagine yet. We invent new improvements every day.The packaging and sustainable packaging group develops robotic material handling products that increase the safety and efficiency of our fulfillment operations. Our products are deployed across the Amazon Fulfillment Network, automating material flow to reduce operational costs, increase throughput, and enable consistent quality. Our workcells are integrated into broader solutions for storage, packaging, sortation, and transportation of items and packages.MSP is seeking a Sr. BIE to join a dynamic new data team that provides leadership for concept development, architecture, design and testing of robotics systems and industrial equipment. This is an opportunity to make your mark and shape how the team accesses, utilizes and distributes data that continues to inform critical decision making within the organization. You’ll work closely with Business Intelligence Engineers, Data Scientists, Product Managers, Systems Engineers and more. Key job responsibilities- Write expert-level SQL that extracts actionable insights from some of the world’s largest datasets- Dive deep to help drive key business decisions through data insights and improve a wide range of internal products- Own the design and development of automated solutions for recurrent reporting and in-depth analyses including learning, publishing, and managing our operational business metrics decks- Drive continuous improvement of our analytical processes by automating, scaling, and simplifying self-service support for our customers- Invent new ways to explore our data and work with Product Managers to identify opportunities and transform business problems into defined data and reporting requirements- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modelling, warehousing and building ETL pipelinesBASIC QUALIFICATIONS- 10+ years of SQL experience- 10+ years of professional or military experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with AWS technologies- Experience with theory and practice of information retrieval, data science, machine learning and data mining- Experience with theory and practice of design of experiments and statistical analysis of results ...

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

Amazon's Seller Growth Programs organization is seeking an exceptional Business Analyst to drive analysis and insights to help our teams make meaningful business decisions. As a Business Analyst, you will focus on solving real world problems and build business cases to enable the organization to scale and invent on behalf of its customers. A key component of the role is to identify improvement opportunities by monitoring existing metrics, analyzing data, and partnering with many internal teams. In addition, you will design and develop automated reporting solutions to enable stakeholders to manage the business and make effective decisions. Lastly, you will enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format. The ideal candidate will be expected to influence and work with other leaders within the broader organization.Key job responsibilities• Produce written recommendations and insights for key stakeholders that will help shape effective strategies.• Work with organizations vending data and recommendations to sellers with Amazon and drive governance initiatives for keeping seller trust and providing consistent experience• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions• Simplify and automate reporting, audits, and other data activities; build solutions to have maximum scale and self-service ability by stakeholders.• Solve complex and broad business problems with analytically derived solutions, applying appropriate analytical best practices.• Develop programs, methodologies, and reports for analyzing and presenting data.• Effectively collaborate in a fast-paced environment with multiple teams in a large organization.About the teamThe Seller Growth Programs team is a new and growing business-tech team, focused on accelerating the growth of businesses in our global stores through new opportunities to attract and optimize valuable selection, build long-lasting relationships with Amazon, and enhance the Buying Customer experience. Come join us as we define the future of Selling Partner growth in our stores.BASIC QUALIFICATIONS- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- 3+ years of business or financial analysis experience- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders- Experience with SQL ...

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers who work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling, and fun.Amazon Robotics empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfillment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas.Amazon Robotics co-op opportunities will be based out of the Greater Boston Area in our two state-of-the-art facilities in Westborough, MA and North Reading, MA. Both campuses provide a unique opportunity to have direct access to robotics testing labs and manufacturing facilities.Must be eligible and available for a full-time (40h / week) 6-month co-op between January to June 2025 or July to December 2025 Travel amount is less than 10% a year.Key job responsibilities- Converting data into digestible business intelligence and actionable information- Design and develop highly available dashboards, perform business analysis and data queries using SQL, Python and other BI Tools- Working with large data sets, automate data extraction, and build monitoring/reporting dashboard- Story telling with Data and Visuals- Interacting with internal stakeholders to deep-dive outlier events- Analyze and solve business problems with focus on understanding root causes and driving forward-looking opportunities- Communicating complex analysis and insights to our stakeholders and business leaders, both verbally and in writing.- Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable formatBASIC QUALIFICATIONS- Knowledge of Tableau or Power Query- Knowledge of SQL- Work 40 hours a week throughout the course of a 10 weeks to a 6 months summer internship- Experience in Excel (macros, index, conditional list, arrays, pivots, lookups)- Are 18 years of age or older ...

Quantitative Business Intelligence Tools (QuBIT) is seeking a highly talented and motivated Business Intelligence Engineer (BIE) to join our team. Our mission is to develop, deploy, and sustain scalable mechanisms to drive Global Customer Fulfillment products ideation, development, deployment, and reporting. You will deliver results based on analyzing, evaluating and surfacing opportunities with your cross-disciplined team to senior leadership globally.As a Business Intelligence Engineer, you will generate insights that will guide feedback to operators and business strategy decisions. Data analysis is at the core Amazon’s culture, and your work will have a direct impact on decision-making and strategy for our organization. You will be gathering operational insights, running statistical analysis, mining data, making recommendations, visualizing data, and helping senior leaders make key business decisions. You should be enthusiastic about leveraging data to uncover insights and solve business problems for Central Operations stakeholders, by producing end-to-end business intelligence solutions. Such solutions require data querying, data pipelining, and data visualization/dashboard building. You should also be enthusiastic about building deep domain knowledge about Amazon’s business and the fulfillment space. This role requires an individual with excellent analytical abilities as well as business acumen fluency and comfort with technical teams and systems. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and enjoys working with large datasets.Key job responsibilities• Design, develop, and maintain scaled, automated, user-friendly systems, statistical analysis and prediction, reports, dashboards, etc. that will support the needs of the business• Apply deep analytic and business intelligence skills to extract meaningful insights and learning from large and complicated data sets• Be hands-on with ETL to build data pipelines to support automated reporting• Serve as liaison between the business and technical teams to achieve the goal of providing actionable insights into current business performance, and ad hoc investigations to support future improvements or innovations. This will require data gathering and manipulation, problem solving, and communication of insights and recommendations• Build various data visualizations to tell the story of business trends, patterns, and outliers through rich visualizations• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentationAbout the teamAmazon's Quantitative Business Intelligence Tools (QuBIT) Team owns a myriad of reporting-focused software products and services, acting as the centralized business intelligence team for Central Operations organization. QuBIT believes that a positive, balanced, supportive, and inclusive workplace is key to your success, and provides active opportunities to learn and grow in your current role. BASIC QUALIFICATIONS- Experience with data querying or modeling with SQL- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with building and maintain basic data artifacts (e.g. ETL, data models, queries)- Experience with data visualization using Tableau, Quicksight, or similar tools ...

PIPTO (Product Integration and Planning Tools) team owns the full-service tools suite for Devices demand planning and serves as a key tech enabler for Devices leadership meetings. We are seeking a Senior Business Intelligence Engineer to drive innovation in BI tools and reporting systems, with a focus on scalability, automation. This role involves solving complex business problems, navigating ambiguity and enabling data-driven decision-making across the Devices organization, including support for cross-org cost saving initiatives. Key job responsibilities- Develop scalable, automated processes for large-scale data analysis, along with innovative BI tools and reporting systems to solve complex business problems.- Provide technical guidance and support to stakeholders for leveraging data visualization and analytics in decision-making, particularly for Cost-Out Initiatives (COI) across the Devices organization. Lead end-to-end project components, including data gathering, analysis, problem-solving, and communication of recommendations.- Partner with stakeholders and engineering teams to prioritize, define, and standardize data metrics, while ensuring data accuracy and governance compliance.- Implement data governance best practices to ensure data accuracy, consistency, and compliance with security and privacy regulations.- Establish and implement best practices for BI development and operations to enhance team efficiency, while mentoring junior members to foster growth and adoption of BI standards.About the teamPIPTO is a centralized team within the Device’s Inventory Optimization org that provides a cohesive approach to support different initiatives within Devices. We envision becoming the cornerstone of data-driven decision-making, empowering the organization with innovative, scalable, and intuitive BI solutionsBASIC 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 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 ...

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

We are looking for a passionate Senior Business Intelligence Engineer to join a growing BI team in the AWS Support Product and Global Business Development organization to help inform the direction of AWS Support and Amazon Managed Services through data, at scale. The successful candidate will have strong Business Analytics skills, be comfortable using SQL to identify KPIs to drive business growth, analyzing data to inform strategic and tactical initiatives, and document findings for less-technical audiences. Strong SQL (any implementation) is a must. Scripting skills and a background in Business are extremely valuable. This is a highly visible role that partners with Product Management, Marketing, Finance, and other stakeholder teams.Analytics topics include, but are not limited to:1. Product / Value Proposition design2. Customer / Go-to-market3. Customer Experience4. Business Planning & ForecastingKey job responsibilities- Develop, launch, and scale self-service analytics and insights offerings- 5+ years of relevant professional experience in business intelligence, analytics, statistics, data engineering, data science or related field.- Experience with Data modeling, SQL, ETL, Data Warehousing and Data Lakes.- Strong experience with engineering and operations best practices (version control, data quality/testing, monitoring, etc.)- Expert-level SQL- Perform deep-dives and root cause analysis to answer business questions- Work with cross functional stakeholders in defining the source of truth and obsessively making sure the data fidelity is high- Effectively communicate (written and verbal) solutions and methodologies to senior leadership- Work with engineering teams to enable the appropriate capture and storage of data- Complete ad hoc data retrieval and analysis- Monitor existing metrics, develop and propose new metrics, and identify new, actionable risk signalsAbout the teamThe AWS Premium Support Product team manages the Product strategy for AWS's Support and Managed Service Offerings. The team is responsible for defining new support and managed services products, customer experiences, pricing, and financials. We keep iterating on products and services to help customers achieve their goals on AWS. Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team 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.AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.BASIC QUALIFICATIONS- 5+ years of SQL experience- Experience with theory and practice of design of experiments and statistical analysis of results- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with theory and practice of information retrieval, data science, machine learning and data mining- Knowledge of data warehousing and data modeling ...

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers who work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling, and fun.Amazon Robotics empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfillment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas.Amazon Robotics internship/co-op/full-time opportunities will be based out of the Greater Boston Area in our two state-of-the-art facilities in Westborough, MA and North Reading, MA. Both campuses provide a unique opportunity to have direct access to robotics testing labs and manufacturing facilities.Must be eligible and available for a full-time (40h / week) 6-month co-op between January to June 2025 or July to December 2025.Key job responsibilities- Analyze historical data to gauge relative performance metric changes, highlighting causation. - Analyze data related to storage solutions to evaluate expected vs actual system performance and entitlement- Work with partner teams to onboard data from other Amazon data providers- Write queries to pull data and act as a thought partner through the design phase of CI & NPI solutions- Support existing dashboards making edits to the underlying SQL, metric definitions, and customer facing visualizations- Evaluate and observe data practices in your own work and throughout the team, always insisting on the highest standards- Recognize and implement best practices and automation opportunities for reporting and analysisBASIC QUALIFICATIONS- Are enrolled in or have completed a Bachelor's degree in statistics, business analytics, data analytics, data science, computer science or related field- Are enrolled in a academic program that is physically located in the United States- Are 18 years of age or older- Work 40 hours/week minimum and commit to 12 week internship maximum ...

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

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