Bellevue

Amazon Inbound Transportation Business Intelligence is seeking a passionate candidate who can leverage data to deliver actionable insights that impact business decisions and improve the customer experience. Amazon's transportation operations encompass the delivery of shipments from fulfillment centers and third-party locations to customers worldwide. Given the company's focus on faster customer delivery, the successful candidate must be driven to identify and build solutions that will help optimize the transportation network and enhance the customer experience.This role offers the opportunity to influence and drive a growing business area. The Business Intelligence Engineer will partner with various Amazon Inbound Transportation (AIT) teams to define, develop, and manage the cross-functional strategy for U.S. domestic inbound transportation. They will be accountable for identifying gaps and opportunities for improvement, keeping stakeholders and leadership informed of progress. The BIE will collaborate with a diverse set of stakeholders, including product managers, program managers, data scientists, software development engineers, and other partner teams across all regions and transportation modes of U.S. domestic inbound.The BIE will build foundational data pipelines and data tables, analyze large data sets, prove and disprove hypotheses, automate solutions, and create self-service dashboards and reports. This person will consistently employ high judgment, make data-driven decisions, and lead by example, influencing the AIT BI team to do the same.Key job responsibilities- Develop and lead design and execution of reporting solution for AIT- Work with product managers, data engineers, data scientists, and software engineers to define reporting needs- Build self-service tools and dashboard that not only gives aggregated metrics but also provide ways to pull granular data for defect verification, customer communication, deep-dives, etc.- Perform deep-dives and data analysis. Provide recommendation on new metrics or business decision.- Provide inputs in team and org level strategic planning, lead org/team discussionsAbout the teamAmazon Inbound Transportation (AIT) is responsible for optimizing cost-effective flow throughout Amazon’s inbound network while providing Amazon with greater control, performance, and inbound visibility. The AIT BI team within AIT is responsible for inbound data analytics and engineering support for the AIT org and various stakeholder and partner teams.Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan Learn more about our benefits here: https://www.amazon.jobs/en/internal/benefits/us-benefits-and-stockBASIC 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- Knowledge of SQL and data warehousing concepts- Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred) ...

The role of Business Intelligence Engineer (BIE) II within the Network Design Planning & Engineering (NDPE) analytics team in Global Transportation Services (GTS) organization is responsible for building analytical solutions to propose designs that reduce cost to serve and improve customer speed. The BIE II focuses on both near term and long term 1P requirements that enable capacity growth, cost reduction, faster speed, better quality and greater sustainability in our transportation network. Key job responsibilitiesThe BIE II collaborates closely with data engineers, program managers, data scientists and business stakeholders to provide business intelligence solutions for NDPE. BIE II acts as the go-to technical expert for data sources and visualization, gathering and deploying BI requirements with business stakeholders. BIE II engages with cross-functional teams and leadership within NDPE and various organizations including ATS LH, SCOT, APEX, TESS, NASC, NACF, AMZL, MOP and GTS Finance teams to design appropriate scalable BI solutions for business problems, prioritize analytics efforts, and deliver solutions that enhance the customer experience and reduce costs.The individual needs to continuously make business decisions on prioritization of features/dashboards while keeping the speed of business in mind. BIE II refines requirements from business stakeholders and converts them into functional designs that solve problems. BIE II identifies trends, articulates insights and develops action plans leveraging data to improve Amazon’s transportation network. BIE II identifies new ways to implement solutions at scale and ensures that solutions are flexible enough to meet the changing business requirements.The BIE II develops and maintains sophisticated data models that recommend network design improvements in alignment with NDPE goals and objectives. BIE II creates dynamic and interactive data visualizations to effectively convey complex information to stakeholders. BIE II constructs visual mapping options that effectively illustrate distribution patterns and core transportation metrics. This individual creates new business tools to automate manual processes and expedites the identification and improvement of data integrity issues. BIE II places a strong emphasis on operational excellence by proactively identifying quality issues and proposing solutions that streamline processes for increased efficiency and ease of maintenance. BIE II drives consensus on data sources and methodologies for metric calculation, documents the aligned processes and onboards everyone to use the single source of truth. The BIE II quantifies the impact of process improvements and helps stakeholders identify root causes of defects, measuring progress. BIE II communicates effectively with both technical and non-technical audiences. BIE II excels in documenting and presenting BI solutions to business stakeholders in a clear and straightforward manner, ensuring that complex concepts are communicated in a simplified and easily understandable fashion. In conclusion, the role of BIE II in the NDPE analytics team is instrumental in shaping Amazon's transportation network to be more efficient, cost-effective, faster and customer-centric.BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience writing complex SQL queries- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

Amazon’s Marketplace services over 2 million Sellers disrupting traditional notions of retail marketplace and connecting millions of businesses, big and small, to millions of Customers within the Amazon.com marketplace. The Marketplace business exceeds 50% of the total Amazon.com sales and each year, tens of thousands of businesses join the marketplace adding millions of new products.The Seller Fulfillment Services (SFS) team is seeking a experienced Business Intelligence Engineer to own strong and complex analytics and to bring in comprehensive deep dives to help drive the growth of SFS Business.The candidate should have expertise in designing and implementing scalable data warehouse infrastructure and build dynamic visualization platform and self serve tools for end-user consumption. Candidate should have solid knowledge in data engineering to develop efficiency DW pipelines given the scale of the dataset SFS is working with. Moreover, the candidate should have ability in using advanced techniques, for example scripting language and building statistical models, to drive complex insights analysis.Our ideal candidate thrives in a fast-paced environment, enjoys the challenge of highly complex business scenarios and is passionate about data and analytics. To be successful in this role you will need to have excellent analytical, data warehousing and communication skills.Key job responsibilities- Design, implement, and deploy BI solutions. You successfully solve difficult and/or loosely structured problems. You are able to refine requirements from business stakeholders into a functional design that solves the problem- Have a solid understanding of data design approaches and analysis techniques (and how to best use them)- Able to work independently and with your team to deliver BI solutions successfully- Demonstrate high quality (e.g., maintainable, efficient, well-documented) work consistently and incorporates best practices. Your team trusts your work- You focus on operational excellence: constructively identifying quality issues, proposing solutions when necessary, taking on projects that improve your team’s BI solutions, and making them better and easier to maintain- You create source-of-truth datasets using SQL; you leverage scripting language i.e. Python to create automation and reduce manual processesBASIC 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 ...

Want to transform the way people enjoy music, podcasts, radio, and audiobooks? Then come join the team that delivers the global audio experience on Alexa. If you’re passionate about building magical experiences for customers, while solving hard, complex technical problems, then this role is for you. Work with us to deliver industry leading experiences across a growing array of Alexa supported devices and countries, all while being at the forefront of Generative AI and LLM capabilities.The Alexa Audio org is seeking an experienced Business Intelligence Engineer who is a master of both data insights and relationship-building. Using a special combination of technical and people skills, this candidate will be the key BI liaison between Alexa audio feature owners and other partner teams. Primary areas of focus will be 1) audio feature launch support 2) defining metrics and KPIs, and deep-diving ambiguous and large data sets.A successful candidate will be an expert with SQL, ETL (and general data wrangling) and have exemplary communication skills. The candidate will need to be a self-starter, comfortable with ambiguity in a fast-paced and ever-changing environment, and able to think big while paying careful attention to detail.Why us?- Problem solving: you will define the solutions from problem statement.- Centralized analytics and data science team: we teach each other and learn from each other.- Impact: directly influence the Alexa Podcast customer experience with your ideasKey job responsibilities- Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions- Interface with business customers, gathering requirements and delivering complete reporting solution- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation- Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers- Perform creative deep dive analyses to explain finding- Interact with internal stakeholders to share insights from monitoring and deep dive analyses- Drive instrumentation as part of organization-wide programs and enhancementsA day in the lifeWhen we work together, we: - Centralize the sprint and consolidate to one queue but still give stakeholder visibility and continue to ask feedback;- Advocate knowledge sharing and code review;- Avoid single point of failure with a secondary owner as code reviewer, mentor, backup, etc;- Consolidate across org initiatives to the same primary owner;- Train everyone on the must-have knowledges;- Carve out time for high-sev tt, urgent requests, tech debt failure;- Favor problem statement other than data requestsAbout the teamWe are a team of 12 made up of Business Intelligence Engineers (BIEs), Data Engineers (DEs), and Data Scientists (DS’s), who bring with deep experience in both business analytics and data science. We cover the data needs of Music, Radio, Podcast, Books, and the Audio Category. Our key internal partners includes Alexa Audio Product Managers, Engineering, Finance, Alexa analytics and science teams; Alexa International, Alexa Analytics and Science Community.BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

Are you looking to build and scale a new and growing business with Amazon? If so, you might be interested in this role with Amazon Freight.Amazon Freight is a startup business within Amazon focused on developing an industry-leading transportation offering to provide external freight Customers access to the world-class network and freight services currently used to facilitate Amazon’s own freight movements. Our freight offerings/portfolio ensures our Customer’s freight is moved with the highest level of service and quality at a competitive price across multiple modes of transportation, including truckload, less-than-truckload, and intermodal. In doing this, Amazon is deeply studying customer shipping needs and building innovative, market-leading solutions that will organically attract customers towards our services.We are seeking a Business Intelligence Engineer who is passionate about leveraging data to deliver actionable insights for Amazon Freight. Our ideal candidate is someone who has strong technical and analytical skills, enjoys building a new business and the ambiguity that comes with that. You should thrive and succeed in an entrepreneurial environment and won't be hindered by ambiguity. If you enjoy innovating, thinking big and want to contribute directly to the success of an industry changing business, you may be a prime candidate for this position.Key job responsibilities· Generate insightful analysis, reporting, and data visualizations to answer critical business questions, proactively identify notable trends, and communicate business performance· Translate data into actionable insights for stakeholders while proactively identifying new areas of opportunity to drive further improvements· Apply expertise in data mining and modeling leveraging multiple data sources to uncover unique insights, identify key performance drivers, and build predictive models· Work backwards from your end-customer to define, design, and execute each work item with an emphasis on improved metrics, productivity, and efficiency· Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentationBASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience in Statistical Analysis packages such as R, SAS and Matlab- 3+ years of experience using excel for deep dive and provide actionable insight to stakeholders ...

Amazon Fulfillment Technologies (AFT) is seeking an experienced Business Intelligence Engineer who is passionate about leveraging data to deliver actionable insight to improve senior level business decision making. Amazon Fulfillment Technologies (AFT) powers the physical engine at the heart of Amazon. AFT builds and operates software, hardware, and processes that run the global network of fulfillment centers that move many billions of units of inventory, employ tens of thousands of people, and ensure that customers get what they want when we promised we would get it to them. We do this by building automated solutions to handle things that technology does well, while relying on people to handle things that humans do well. Our team collaborates with machine learning scientists, product managers, engineers, Suppliers, fulfillment associates, and with a variety of customers across Amazon worldwide. Key job responsibilities• Design, develop and maintain scaled, automated, user-friendly systems, reports, and dashboards enabling stakeholders to manage the business and make effective decisions.• Work with PMs and Business stakeholders in understanding the business requirements and implementing solutions to support analytics and reports.• Conduct ad hoc data analysis and data quality investigations.• Implement training and documentation solutions that enables stakeholders to get the most out of our self-serve reporting tools.• Develop and support the analytical technologies that give our customers timely, flexible and structured access to their data.• Defining, developing and maintaining critical business and operational reports reviewed on a weekly, monthly, quarterly, and annual basis• Analysis of historical data to extract meaningful insights and learnings from large and complicated data sets identify trends and support decision making, including written and verbal presentation of results and recommendations• Collaborating with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of machine learning models• Understanding of Amazon’s data resources, which to use, how, and whenA 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 Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!About the teamAmazon Fulfillment Technologies (AFT) powers Amazon’s global fulfillment network. We invent and deliver software, hardware, and data science solutions that orchestrate processes, robots, machines, and people. We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it.InboundAFT’s Inbound team delivers innovative solutions to automatically receive and process billions of units of inventory from Amazon’s vendors and third-party sellers worldwide, making the merchandise quickly available to Amazon customers.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 ...

Do you pioneer?Do you enjoy breaking down and solving complex problems for the benefit of a quickly expanding customer base, focusing first on our customer and working backwards? Do you want to be part of a newly formed organization that is designing and launching new business models across the world? If so, the AMXL supply chain team is looking for an experienced leader with a strong record of achieving results, to create and execute the worldwide AMXL supply chain by working closely with our retail and operations partners across the globe in order to effectively manage volume flows and fullness for our fulfillment centers and delivery stations. The role requires heavy index on dive deep, bias for action, and ownership.Amazon Extra Large (AMXL), formerly known as Special Handling, obsesses over customers by offering a white glove service where we deliver TVs and other large items like furniture in customers homes. Not only do we deliver large parcels, we unpack, assemble, install and sometimes even do tests, hauling away old items as needed. As we head into Peak, we continue to build our special handling fulfillment, delivery and services network and will add more fulfillment centers and delivery stations across NA. We are currently in the process of building out a network that is poised for big growth in the coming years.The Business Intelligence Engineer will support the rapid growth of this initiative by developing business metrics, mining data to uncover consumer insights and business opportunity, and partnering with internal stakeholders to drive the business. The ideal candidate will be highly analytical with proven experience delivering results.Specific responsibilities include identifying the necessary metrics and creating reports to increase understanding of the business, proactively identifying pain points or opportunities through systemic measurement. The Business Intelligence Engineer will be detail oriented, and possess expertise in both qualitative and quantitative analysis with a passion for delivering actionable insights to key stakeholders. The right candidate will blend advanced reporting with strong critical thinking and project management skills.Key job responsibilities- Working backwards from success criteria of key strategic initiatives and create KPIs to track overall status of the program- Designing and implementing reporting solutions to enable stakeholders to manage the business and make effective decisions.- Creating robust and scalable data infrastructure to retrieve and analyze data - Monitoring existent dashboards, metrics, analyzing data 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. - Driving small to medium operational enhancement projects.BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience writing complex SQL queries- Experience with data modeling, warehousing and building ETL pipelines- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience with data visualization using Tableau, Quicksight, or similar tools ...

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 ...

Do you enjoy diving deep into data, building data models and developing business metrics to generate actionable insights? Are you looking for an opportunity to define end to end analytics roadmap, work with cross functional teams and leverage cutting edge modern technologies and cloud solutions to develop analytics products. DSP Analytics team has an exciting opportunity for a Business Intelligence Engineer (BIE) to improve Amazon’s Delivery Service Partner (DSP) program through impactful data solutions.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. We are looking for an innovative, highly-motivated and experienced BIE who can think holistically about problems to understand how systems work together to identify and execute both tactical and strategic projects. You will work closely with engineering teams, product managers, program managers and org leaders to deliver end-to-end data solutions aimed at continuously enhancing overall DSP performance and delivery quality. The business coverage is broad, and you will identify and prioritize what matters most for the business, quantify what is (or is not) working, invent and simplify the current process and develop self-serve data and reporting solutions.You should have excellent business and communication skills to be able to work with business owners to define roadmap, develop milestones, define key business questions, and build data-sets that answers those questions. The ideal candidate should have hands-on SQL and scripting language experience and excel in designing, implementing, and operating stable, scalable, low-cost solutions to flow data from production systems into the data warehouse and into end-user facing applications.Key job responsibilities- Lead the design, implementation, and delivery of BI solutions for the LATAM DSP Performance solutions and Network Health.- Manage and execute entire projects from start to finish including stakeholder management, data gathering and manipulation, modeling, problem solving, and communication of insights and recommendations.- Extract, transform, and load data from many data sources using SQL, Scripting and other ETL tools.- 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.- 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.- 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 leveraging technology.- Work closely with business stakeholders and senior leadership team to review roadmap and contributing to business strategy and how they can leverage analytics for success.About the teamWe are the core Amazon DSP BI team with the vision to enable data, insights and science driven decision-making. We have exceptionally talented and fun loving team members. In our team, you will have the opportunity to dive deep into complex business and data problems, drive large scale technical solutions and raise the bar for operational excellence. We love to share ideas and learning with each other. We are a relatively new team and do not carry legacy operational burden. We believe in promoting and using ideas to disrupt the status quo.Per the internal transfers guidelines, please reach out to the hiring manager for an informational through the "Request Informational" button on the job page.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 using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience in Statistical Analysis packages such as R, SAS and Matlab ...

At Amazon Logistics we are building a world class last mile operation, significantly complimented by Amazon Flex. Amazon Flex works directly with independent contractors – called delivery partners – to make deliveries to our customers. With Amazon Flex, individuals can now be their own boss delivering Amazon packages. Amazon Flex is powered by a mobile app that works in concert with our advanced logistics systems that allows delivery partners to on-board, schedule delivery times, guide them through their deliveries with in-app mapping and navigation, and more. The approach and technology are nothing short of disruptive, and promise to challenge traditional approaches, and change the way the industry operates. We are hiring a Business Intelligence Engineer (BIE) to help us accelerate our efforts in delivering an evolving Flex business. This person will build new business intelligence solutions end-to-end. The ideal candidate will be passionate about working with big data sets and have the expertise to utilize these data sets to derive insights, answer business questions and drive growth. The primary responsibilities of this role include: - Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support our analytical and business needs for forecasting and pricing - Use analytical and statistical rigor to solve complex problems and drive business decisions that will help us achieve our strategic goals. - Write high quality SQL code to retrieve and analyze data from database tables (primarily Redshift), and learn and understand a broad range of Amazon’s data resources and know how, when, and which to use and which not to use. - Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting. In addition to leading the design, development, and management of our analytical tools and reporting, we will also look to this person to provide thought leadership and business analysis support as needed. The successful candidate will demonstrate strong business acumen, experience in developing reporting and analytical infrastructures, strong communication skills, an ability to work effectively with cross functional teams, and an ability to work in a fast paced and ever-changing environment. 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 aims 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 working to provide optimized service levels through the introduction of new products and services.The On Road Staffing (ORS) team is seeking a talented Business Intelligence Engineer (BIE) to join our team, focusing on the development of Market Intelligence products. Our team is scaling processes and initiatives fast, requiring this Amazonian to hit the ground running.This Amazonian will need to have solid business acumen, be comfortable interfacing and driving across various functional teams, have a passion for developing and implementing processes in an ambiguous problem space, and be willing to roll up their sleeves to build a program that will significantly impact Amazon’s last mile delivery capabilities. This Amazonian should have a proven track record in taking on end-to-end ownership and successfully delivering results in a fast-paced and dynamic business environment.The role may be based in one of the following Amazon corporate locations:- Nashville, TN - Bellevue, WAKey job responsibilities - Own, design, develop, document, and manage scalable solutions for new and ongoing metrics, reports, analyses, visualizations, and dashboards to support business needs - Own and develop queries and data visualizations for ad-hoc, recurring, troubleshooting requests and projects, as well as for ongoing reporting by leveraging SQL, Redshift, QuickSight and Tableau skillsets - Dive deep to understand frameworks utilized for storing data and different tools and solutions used to gain access to it - Use data mining, data modelling ,data warehousing, and other analytical techniques to develop and maintain customer segmentation and predictive models to drive the business - Design and drive experiments to form actionable recommendations. Present to business leaders in both ad-hoc forums and routine business reviews (MBR/QBR) to drive decisionsBASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience with data modeling, warehousing and building ETL pipelines- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience in Statistical Analysis packages such as R, SAS and Matlab ...

The goal of Amazon is to build a world class last mile operation. Amazon aims 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 working to provide optimized service levels through the introduction of new products and services.The On Road Staffing (ORS) team is seeking a talented Business Intelligence Engineer to join our team. Our team is scaling processes and initiatives fast, requiring the Sr. BIE to hit the ground running.This leader will have solid business acumen, be comfortable interfacing and driving across various functional teams, have a passion for developing and implementing processes in an ambiguous problem space, and be willing to roll up their sleeves to build a program that will significantly impact Amazon’s last mile delivery capabilities. The leader will have a proven track record in taking on end-to-end ownership and successfully delivering results in a fast-paced and dynamic business environment.The role may be based in one of the following Amazon corporate locations:- Nashville, TN - Bellevue, WAKey job responsibilities - Own, design, develop, document, and manage scalable solutions for new and ongoing metrics, reports, analyses, visualizations, and dashboards to support business needs - Own and develop queries and data visualizations for ad-hoc, recurring, troubleshooting requests and projects, as well as for ongoing reporting by leveraging SQL, Redshift, QuickSight and Tableau skillsets - Dive deep to understand frameworks utilized for storing data and different tools and solutions used to gain access to it - Use data mining, data modelling ,data warehousing, and other analytical techniques to develop and maintain customer segmentation and predictive models to drive the business - Design and drive experiments to form actionable recommendations. Present to business leaders in both ad-hoc forums and routine business reviews (MBR/QBR) to drive decisionsBASIC 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 ...

Do you have a passion for deriving insights from data to make a difference in people's lives? Are you a Day 1 thinker who is passionate about pushing the boundaries of conventional talent development approaches and innovating on behalf of our customers? If so, we would like to hear from you!PATOE is a centralized technology, data, reporting, and analytics organization that supports over a million employees globally, spanning support across NA Customer Fulfillment, Global Operations Learning & Development and PXT Capability & Impact, and Employee Relations.We are seeking a seasoned Business Intelligence Engineer for our L&D pillar to further our mission of building technology and programs that help our more than 1 million employees reach their full potential from onboarding through career advancement. In this role, a BIE will play a pivotal role in designing, executing, and optimizing data solutions to empower our front-line leaders and ensure they are well-equipped to effectively lead the largest hourly population in Amazon.The ideal candidate will be enthusiastic about translating complex and ambiguous problem statements into actionable solutions, working across L&D teams worldwide. In this role, you will partner with our program managers to consult, prioritize, develop and implement KPIs, and automate reporting processes. Your work will play a major role in devising the team's expansion strategy, technical foundation of our ecosystem and scaling our impact across the org. This role provides opportunities to test new approaches and innovate in an exciting, fast-paced environmentKey job responsibilities• In this role, you will use analytics to enhance our L&D product offerings and improve employee experience• Collaborate with PATOE developers and evaluate internal processes, approaches, and technical systems to establish highest standards and ensure safety for our associates and leaders• Apply deep analytics and business intelligence skills to extract meaningful insights and learning from large and complicated data sets• Design, develop and maintain scaled, automated, user-friendly systems, reports and dashboards• Support cross-functional teams on the day-to-day execution of projects and initiatives• Deliver business reviews to the senior management team regarding progress and roadblocks• Serve as liaison between the business and technical teams to achieve the goal of providing actionable insights into current program performance, and ad-hoc investigations to support future improvements or innovations• Recognize and adopt best practices in reporting and analysis through data integrity, test design, analysis, validation, and documentation• Conduct advanced statistical analysis to identify trends and opportunitiesAbout the teamThis role sits within the larger People Analytics, Technology, and Operations Excellence (PATOE), a team of Engineers, Data Professionals, Product Managers and Scientists supporting People Experience & Technology (PXT) and Operations worldwide. The role will report into People Data & Analytics team embedded within PATOE and comprised of Business Intelligence and Data Engineers. We design, build and sustain scalable data products that support Employee Relations, Global Learning & Development, and NA OperationsBASIC 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- Bachelor's degree- Experience defining requirements and using data and metrics to draw business insights- Experience with SQL- Experience making business recommendations and influencing stakeholders- Worked extensively in large scale data bases and data warehouses. ...

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

Do you want a unique, exciting opportunity to help build something from the ground up? We are looking for builders who thrive in ambiguity to join the BI team of a tech organization under Workforce Planning.The ideal candidate will have a passion for automation and clean, streamlined process design. The applicant will draw upon advanced analytical, critical thinking, problem solving skills, software development experience, and an aptitude for creating maintainable, highly reliable, distributed systems which operate 24/7/365. You will work with analytic tools, write excellent scripts, partner with customers to answer key business questions, and act as an advocate for your customers. Successful members of this team collaborate effectively with internal end-users, cross-functional software development teams, and technical support/sustaining engineering teams to solve problems, implement new solutions, and deliver successfully against high operational standards of system availability and reliability. We look for candidates who are excellent communicators, self-motivated, flexible, hardworking, and who like to have fun.The complexity of research and skills for a Business Intelligence Engineer is well beyond basic data entry and extraction. It involves design and development of automated data pipelines, sophisticated analytical and intuitive data . In addition, this role is on a large analytical team that supports a wide range of businesses. This role has great exposure to a broad scope that can really help shape the future of operational fulfillment and promotes career progression.About the teamThe Strategies Labor BI team elevates the labor planning experience by producing insights and data for our customers.We do this by:1) Generating actionable insights to inform product roadmaps, drive strategic decisions for our customers2) Enabling stakeholders through automated reporting, self-service dashboards, and/or company-wide tools/metrics;3) Improving our data architecture and processes to reduce time spent on KTLO and Operations;4) Supporting general business needs (e.g., xBRs, escalations, ad hoc requests) and operations.BASIC QUALIFICATIONS- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)- Experience with scripting language (e.g., Python, Java, or R) ...

At Amazon, the Leadership Principle “Strive to be Earth’s Best Employer” challenges us to create “a safer, more productive, higher performing, more diverse, and more just work environment,” and reinforces that nothing is more important than the safety and well-being of our teams. At Workplace Health and Safety (WHS) we strive to do just this. We work tirelessly to ensure we have the appropriate strategy, technology, and attitude to be successful. We also understand that people are at the center of safety and look to invest in talent that shares in our passion for making our employees and partners lives better.The WHS Data team is hiring a Business Intelligence Engineer (BIE). The Data team spans the Business Intelligence (BI) and Data Engineering (DE) functional areas, and is responsible with providing all reporting solutions required by the WHS Organization to drive workplace safety and regulatory compliance worldwide. This BIE role will primarily support the data and reporting needs for the Safety Performance Insights (SPI) BI team in the WHS Organization. This role regularly requires close engagement with senior leaders and principal PMs to generate insights and deep dives into core metrics that directly impact organizational strategic decisions and priorities. The role requires high proficiency in complex SQL scripting, often joining together multiple types of data sets that range from normalized summaries to raw information spanning many diverse sources. The role will need to have a high bar for ownership and work autonomously to create high-quality products for the customer. The role is required to communicate project roadmap, prioritization, and release notes of new products with customer and stakeholder groups including leadership.Key job responsibilities-Contribute to the design, implementation, and delivery of BI solutions for complex and ambiguous problems-Conduct deep dive analyses of business problem statements and formulate conclusions and recommendations to leadership-Identify opportunities and key criteria to drive analytical reporting and business strategy-Produce written recommendations and insights for key stakeholders that will help shape effective metric development and reporting-Simplify and automate reporting, audits, and other data-driven activities-Partner with Data Engineering to enhance data infrastructure, data availability, and broad access to customer insights-Develop and drive best practices in data integrity, consistency, analysis, validations, and documentation-Learn new technology and techniques to meaningfully support product and process innovationA 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 Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) PlanIf 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- 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 modeling, warehousing and building ETL pipelines- Experience with data visualization using Tableau, Quicksight, or similar tools ...

At Amazon, the Leadership Principle “Strive to be Earth’s Best Employer” challenges us to create “a safer, more productive, higher performing, more diverse, and more just work environment,” and reinforces that nothing is more important than the safety and well-being of our teams. At Workplace Health and Safety (WHS) we strive to do just this. We work tirelessly to ensure we have the appropriate strategy, technology, and attitude to be successful. We also understand that people are at the center of safety and look to invest in talent that shares in our passion for making our employees and partners lives better.The WHS Data team is hiring a Business Intelligence Engineer (BIE). The Data team spans the Business Intelligence (BI) and Data Engineering (DE) functional areas, and is responsible for providing all reporting solutions required by the WHS Organization to drive workplace safety and regulatory compliance worldwide. This BIE role will primarily support the data and reporting needs for the Safety Performance Insights (SPI) BI team in the WHS Organization. This role regularly requires close engagement with senior leaders and principal PMs to generate insights and deep dives into core metrics that directly impact organizational strategic decisions and priorities. The role requires high proficiency in complex SQL scripting, often joining together multiple types of data sets that range from normalized summaries to raw information spanning many diverse sources. The role will need to have a high bar for ownership and work autonomously to create high-quality products for the customer. The role is required to communicate project roadmap, prioritization, and release notes of new products with customer and stakeholder groups including leadership.Key job responsibilities-Contribute to the design, implementation, and delivery of BI solutions for complex and ambiguous problems-Conduct deep dive analyses of business problem statements and formulate conclusions and recommendations to leadership-Identify opportunities and key criteria to drive analytical reporting and business strategy-Produce written recommendations and insights for key stakeholders that will help shape effective metric development and reporting-Simplify and automate reporting, audits, and other data-driven activities-Partner with Data Engineering to enhance data infrastructure, data availability, and broad access to customer insights-Develop and drive best practices in data integrity, consistency, analysis, validations, and documentation-Learn new technology and techniques to meaningfully support product and process innovationA 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 Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) PlanIf 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- 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 modeling, warehousing and building ETL pipelines- Experience with data visualization using Tableau, Quicksight, or similar tools ...

At Amazon Worldwide Returns & ReCommerce (WW R&R), we aspire to zero: zero cost of returns, zero waste, and zero defects.We are an agile, innovative organization dedicated to ‘making zero happen’ to benefit our customers, company, and environment. We are constantly innovating to create long-term value at Amazon by investing in the future and focusing on the planet, not just on the bottom line. WW R&R includes business, product, program, operational, data, and software engineering teams, who together manage the lifecycle of returned and damaged products.As a BIE on the Amazon Returns and ReCommerce Business Intelligence Team you will be collaborating with a seasoned group of Data Engineers and other BIEs to build cutting edge solutions that are accurate, reliable and accessible. As part of the R&R BI team, you will have an opportunity to participate and innovate across the data engineering landscape, starting from data ingestion, storage, processing and reporting. You will partner closely with business, finance and product teams within the Returns, ReCommerce and Sustainability organization to understand their data-needs and ensure business users are able to answer hard questions with real data. You will educate and train customers to self-serve data, present data in new forms, explore reporting options and innovate. You will participate in business reviews and new-initiatives. You should be able to identify and help close gaps in the information available, as well as predict up-and-coming data-needs when participating in discussions about new products or features.A successful BIE will be highly collaborative and organized, capable of prioritizing multiple deliverables and effectively communicate progress and blockers. You should feel comfortable working across multiple data-sources, and be capable of participating in and understanding how multiple systems communicate information to one-another.We are a group that has fun at work, cares about the impact of our products, and is not just focused on the bottom line. Our growing team has the rare opportunity of directly impacting the sustainability of our planet by keeping tens of thousands of tons of products out of landfills every year. We are backed by a strong leadership group dedicated to operational excellence that empowers a reasonable work-life balance. As an established, experienced team, we offer the scope and support needed to achieve substantial career growth. Come join us and innovate with the WW Returns and ReCommerce BI Team!- Owning the design, development, and maintenance of scalable solutions for ongoing metrics, reports, analyses, dashboards, etc. to support analytical and business needs.- Translate basic business problem statements into analysis requirements.- Use analytical and statistical rigor to answer business questions and drive business decisions.- Find and create ways to measure the customer experience to drive business outcomes.- Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.- Write queries and output efficiently, and have in-depth knowledge of the data available in area of expertise. Pull the data needed with standard query syntax; periodically identify more advanced methods of query optimization. Convert data to make it analysis-ready.- Recognize and adopt best practices in reporting and analysis: data integrity, design, analysis, validation, and documentation.- Troubleshoot operational data-quality issues.- Review and audit existing ETL jobs and queries.- Recommending improvements to back-end data sources for increased accuracy and simplicity.BASIC QUALIFICATIONS- 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 ready to help Amazon shape the future of eCommerce shipping? Amazon Shipping is a package delivery service powered by the speed, reliability, and technology of Amazon’s delivery network. We’re building our US Marketing team to fuel growth and seek an experienced Channel Marketing Coordinator to lead our digital execution.The Channel Marketer will play a critical role in driving and maturing our digital marketing across email, web and in-product surfaces. The right candidate has experience working hands on with digital tools and can work closely with our Acquisition and Lifecycle Campaign Managers to activate campaigns. You’ll be the subject matter expert that can consult on and implement plans that help us achieve our growth goals. Our environment is fast-paced and innovative and we are looking for a candidate who is flexible and thrives in ambiguity, with the ability to think strategically while paying careful attention to detail.Key job responsibilitiesKey job responsibilities• Lead digital build for email, in-product and web for campaigns in the US.• Partner closely with Acquisition and Lifecycle Marketing Managers to define and implement channel strategy for campaigns.• Raise the digital bar; level-up campaigns with strategies that can help us exceed annual targets.• Drive alignment on priorities for digital execution with team-level stakeholders.• Develop channel KPIs and metrics and work closely with Business Analytics team to implement into reporting that can drive actionable improvements into campaigns and keep senior leadership informed of momentum.• Act as the liaison with the Marketing Automation and Business Process Automation team to identify key business requirements for capability improvements.• Roll up your sleeves and get work done, with painstaking attention to important details, delivered at lightning speed… even when at times it’s outside the scope of the job.BASIC QUALIFICATIONS- Experience in professional non-internship marketing- Experience with Excel or Tableau (data manipulation, macros, charts and pivot tables)- Experience creating and sending email marketing campaigns in Marketo or a similar Marketing Automation platform. ...

At Amazon, we are working to be the most Customer-centric company on earth. A customer experience that we are constantly looking to take to a new level is how we fulfill and deliver customers' orders. We are doing so by building a world class last mile operation capable of exceeding the expectations of our customers by ensuring that their orders are delivered as quickly, accurately, and cost effectively as possible.Amazon Hub Delivery allows local small businesses to partner with Amazon to provide flexible and cost-effective delivery service to delight customers globally. This is an emerging Amazon Logistics (AMZL) delivery channel, and is on an exponential growth trajectory globally.Hub Delivery is looking for a Compliance Manager to develop, integrate and execute global strategies, policies, programs, procedures, standards, training and processes to ensure the compliance of Hub partners and delivery associates. This individual is also expected to drive end-to-end improvements and automation in our compliance reporting pipelines. They will work across the organization to establish requirements where they don’t currently exist, drive cross-functional process changes, and facilitate leadership alignment when needed, to deliver granular compliance insights and raise the bar on compliance performance.Key job responsibilities- Partnering with Amazon legal, business, and engineering stakeholders to identify regulatory, compliance, or other risks- Reporting current state and potential changes to the status quo to Sr. Leaders on a regular cadence- Developing a deep understanding of the business and internal programs, processes, and systems and identifying discrete programs, processes, or features to improve our program to address risks- Recognizing patterns and developing short - mid- and long-term strategic plans to address those patterns- Anticipating challenges/obstacles the business would encounter while expanding geographies.- Thinking Big - and injecting new, innovative ways of thinking into the programAbout the teamHub Delivery is part of Amazon's fast growing and always evolving rural and urban delivery program. We partner with customer obsessed small business owners who then deliver to Amazon customers. Our partners raise the bar for the delivery experience, in some of the most complex last mile scenarios! Today, we are building our network in Egypt, Japan, Mexico, Spain and the US, while planning for global reach!BASIC QUALIFICATIONS- 6+ years of compliance, audit or risk management experience- Knowledge of Microsoft Office products and applications at an advanced level- Bachelor's degree or equivalent ...