Business Intelligence

Amazon Fashion & Fitness drives multiple core and advance science initiatives. We are hiring a Business Intelligence Engineer (BIE) to join the Fashion & Fitness team to help us accelerate our efforts to improve Pricing Strategy. This person will own reporting and build new business intelligence solutions end-to-end. The ideal candidate will be a self-starter and have foundational knowledge of pricing and finance concepts (e.g., margin). They will be passionate about working with big data sets, and will have the expertise to utilize these data sets to derive insights, answer business questions and drive growth. Key job responsibilitiesThe primary responsibilities of this role include:*Design, develop and maintain scaled, automated, user-friendly reports, dashboards, etc. that will support our analytical and business needs for customer promise and operations.*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 (ex. Redshift, MySQL, Oracle), 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.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 moreso than the typical BIE role. Key deliverables will be adhoc deep dives to support business reviews, standardizing/building reports and dashboards for deep dive, and creating new metrics or attribution for bridging. 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 writing complex SQL queries ...

Are you seeking an environment where you can learn new skills, work with scientists and help influence the future of finance? Our team combines machine learning, forecasting, economics and Large Language Models to help solve problems within finance and help provide automation where problems become ambiguous. We spend our days diving into data and working with external parters to automate process to help our financial partners better perform their roles. Here in WW Stores Strategic Finance, our business intelligence engineers help perform statistical analysis, build data pipelines, provide support to scientists and engineers and design dashboards that are viewed by VP leadership within finance. This role has high visibility within the team and can provide many different challenges to solve, which helps team members grow their own scope and their skillsets. Our team focused on supporting three pillars of anomaly detection, forecasting and document understanding to support the different areas of finance such as financial planning, month end close, and controllership.Key job responsibilities* Defining architecture, design and implementation of next generation BI products/solutions and data-intensive technology solutions* Collaborating with data scientists/ engineers, others BIEs and business stakeholders to surface high quality business insights and analytics* Collaborating with our dedicated product, data engineering, and software development teams to create production implementations for large-scale data analysis.* Developing an understanding of key business metrics / KPIs and providing clear, compelling analysis that shapes the direction of our business.* Performing data and statistical analysis on oddities in data to help provide high data quality within our modeling ecosystems BASIC QUALIFICATIONS- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- 5+ years of hands-on experience in writing complex, highly-optimized SQL queries across large data sets. ...

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.Are you a passionate Business Intelligence Engineer (BI Engineer) who wants to make a real impact on a big business? Read on!We are looking for seasoned Business Intelligence Engineers to join a BI team in the AWS Support organization. AWS Support, despite the impression that its name (“support”) might give you, is not a typical reactive customer service, but an independent AWS business that provides industry-leading offerings way beyond just “break-fix”. The business has a self-standing P&L and has even yielded revenue larger than most AWS Services. Managing an organization that provides support for ever-expanding AWS product portfolio to millions of customers across the globe is not a simple task and leaders in all functions inevitably need reliable data for their day-to-day operations and strategic decision-makings. The BI team is an integrated core part of the AWS Support operations delivering robust and trustworthy infrastructure to the truly data-driven organization.As BI Engineer, you will work closely with internal stakeholders to define key performance indicators (KPIs) through your deep understanding in support business and operations and implement the KPIs into dashboards/reports that drive the decisions made by senior leadership. The BI Engineers will have opportunities to not just exercise her/his technical skills such as SQL to retrieve data and convert it to simple graphs and tables, but to develop true dashboards that are information-rich and flexible yet intuitive and easy-to-use that help the support leadership quickly discover golden insights to serve AWS customers better. You will let the data answer questions such as “What is high/low quality means at support?”, “Is this particular customer happy with their support experience? “, and “How productive is this support agent versus other agents in the network?” The usage of the data that the AWS Support BI team publishes spans to other AWS teams outside of the organization. Support data serves as one of key leading indicators for new customer demands and for problems yet to be discovered. Such external usage might lead to “next big thing” launched by AWS!From technology perspectives, you will have opportunities to (and will be asked to) be exposed to the modern agile cloud-based data technologies. The team will be empowered to select the right technology, if necessary, based on customer needs and you will have the full set of AWS services in your toolbox.This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph.Key job responsibilities- Understand the problem that's loosely defined or structured. - Provides BI solutions for difficult problems and works on delivering large BI solutions.- Provides solutions that drive team's business decisions and highlight new opportunities.- Improves code quality and optimizes BI processes.- Basic understanding of a scripting language. Knows how to model data and design a data pipeline. Able to apply basic statistical methods (e.g. regression) for difficult business problems.About the teamDiverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.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 & 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. 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. 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- Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred)- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business- Current, active US Government Security Clearance of TS/SCI with Polygraph ...

The Seller Insights and Planning team’s mission is to make FBA the best place for sellers to both thrive and delight customers. We achieve this through identifying opportunities to address seller pain points, optimizing our services to reduce seller effort, eliminating the defects that lead to seller costs, and orchestrating initiatives across business, technology and operations that simplify the seller experience.As a Business Analyst II, you use data analysis and business understanding to solve complex problems and drive decisions within projects aimed at enhancing WW FBA seller performance. You work tactically, learning to be strategic, handling projects based on stakeholder requests, and proactively identifying patterns to propose solutions. This role will require you to collaborate with stakeholders to define problems, set goals, and deliverables, and create short-term solutions, while managing roadblocks with limited guidance. This work will directly impact the development of strategic plans and initiatives aimed at improving seller operations, increasing sales, and enhancing customer satisfaction. Additionally, you will build reports and metrics, drive ad hoc analysis, and communicate insights to key stakeholders. Key job responsibilitiesBuild and maintain recurring metrics and reports for WW FBA Business. Monitor existing metrics as well as develop and propose new metrics, working with a variety of business stakeholders. Design and implement reporting solutions enabling stakeholders to manage the business and make effective decisions.Collect, analyze, and interpret large datasets related to WW FBA seller performance, customer feedback, and operational metrics. Identify trends, patterns, and insights to drive strategic decision-making and present findings to stakeholders. Build a deep understanding of the WW FBA Business objectives and operational processes. Use this knowledge to communicate findings clearly and concisely to stakeholders.Continuously look for ways to optimize business processes and workflows. Inform process owners of potential improvements and work collaboratively to implement changes.BASIC QUALIFICATIONS- 2+ years of Excel or Tableau (data manipulation, macros, charts and pivot tables) experience- 2+ years of business analyst, data analyst or similar role experience- Experience making business recommendations and influencing stakeholders- Bachelor's degree or equivalent- Ability to transform data and metrics into visualizations and summaries.- Experience defining requirements to achieve complex business solutions ...

Join Amazon's Global Logistics team as a Senior Business Intelligence Engineer and help shape the future of our cross-border logistics capabilities. You'll lead the development of cutting-edge analytical solutions and data automations that optimize the speed, cost, and reliability of global import shipments. This role offers a unique opportunity to work with a diverse, international team and make a significant impact on Amazon's worldwide operations.Key job responsibilities- Design and develop scalable data warehouse solutions and pipelines- Create complex data processing jobs using advanced technologies- Collaborate with stakeholders to understand business needs and deliver insights- Lead business intelligence initiatives for North American operations- Provide technical guidance and influence decision-making within the teamA day in the lifeAs a Senior Business Intelligence Engineer, you'll start your day by checking in with your team across different time zones. You might begin working on a new data pipeline to improve visibility into import shipment delays, collaborating with data engineers to optimize the solution. Later, you could meet with business stakeholders to present your latest analysis on cost-saving opportunities in the logistics network. Throughout the day, you'll be problem-solving, coding, and mentoring junior team members, all while keeping an eye on the broader impact of your work on Amazon's global logistics operations.About the teamThe Global Logistics Analytics team is dedicated to delivering trusted, accessible, and actionable data insights that drive business decisions. We manage a wide range of reporting and analytical products across European and North American operations. Our mission is to enhance the speed, cost-efficiency, and reliability of global import shipments through data-driven strategies. We're a fast-paced, innovative team that values continuous learning and evolution in the rapidly changing world of global logistics.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- 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 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 ...

Do you share a passion to make customers successful? Do you believe that a deep understanding of customer and business priorities can transform an organization? Are you excited to discover and solve thorny business challenges through data analytics and business intelligence (BI) solutions? Do you thrive in a dynamic environment working with diverse teams cutting across functions, organizations, and cultures to achieve a common goal?The Private Pricing Analytics and Insights team is a critical part of enabling the AWS Private Pricing business to achieve the highest standards of excellence for WW Commercial Operations. This role, based in North America, will focus on Business Analytics and Business Intelligence related to Private Pricing Deals, requiring broad technical skills, strong business acumen and a deep analytical background to provide performance reporting, actionable insights and decision support. As a member of this team, you will harness your skills to understand business requirements, create performance metrics, conduct data analysis, provide insights, recommend actions, build analytical models for hypothesis testing, create forecasting models, build self-service dashboards and visualization, drive automation and process improvements, to help the Private Pricing leaders and teams to achieve their goals.The individual must have the ability to communicate effectively across multiple technical and non-technical business units, as well as across other geographies. Successful members of this team collaborate effectively to solve data problems, implement new reporting solutions, and deliver successfully against high operational standards. The ideal candidate will be a highly motivated individual that seeks to “tell the story” of the data with little direction or supervision.Key job responsibilities• Lead sales executive discussions to share insights, challenge status quo, and provide forward looking recommendations to enable strategic decision making and growth of Private Pricing.• Support the development of continuously-evolving business analytics and data models, own the quantitative analysis of the performance of our sales team, customers, deal team, partners, markets, and products/services.• Develop a deep understanding of sales metrics, reporting tools, and data structures in order to identify and drive resolution of issues, provide actionable intelligence with existing metrics or identify, develop, and propose new metrics, dashboards, scorecards or new tools.• Develop relationships and processes with sales, finance, sales operations, and other functional teams to identify and address reporting issues.• Manage and develop analytical tools or reports that through the automation existing inspection mechanisms such as business reviews, annual planning, and forecasting processes.• Create operational templates and processes to compile and standardize disparate information that drive standardized reporting and metrics tracking.• Generate ad-hoc analysis and reports with actionable recommendations based on the needs of the stakeholders, through ad-hoc data retrieval and analysis from data management systems, • Create new mechanisms and business processes that simplifies, standardizes and enables operational excellence.About the teamThe Private Pricing Analytics and Insights team is a critical part of enabling the AWS Private Pricing business to achieve the highest standards of excellence for WW Commercial Operations. The Private Pricing team is instrumental in driving deal strategy, structuring, negotiations, and execution of private deals. Private Pricing deals consist of large, strategic, or highly competitive commercial deals. 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 we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- 3+ years experience of analyzing and interpreting data with Redshift, Oracle, NoSQL etc.- 3+ years 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 ...

Love science and data? So do we! The Alexa Devices, Sales & Marketing organization is looking for an experienced Data Engineer to deliver solutions that help deepen our understanding of customers. You will be joining the Alexa Marketing Science (AMS) team, whose mission is to surface timely, scientifically-grounded insights about customers to guide marketing and product leaders.The ideal candidate has excellent technical skills, analytical abilities, written and verbal communication skills, and the ability to influence cross-functional teams. They are an expert with SQL, ETL, Tableau (or similar data visualization tools) and have an ability to quickly translate business requirements into technical solutions. The candidate is a self-starter and team player and able to think big while paying careful attention to detail.As a Data Engineer, you will be working in one of the world's largest and most complex data warehouse environments using the latest set of tools. We help marketing and product teams in Alexa Devices understand our customers by providing data and metrics that provide insight into user experience. Our team is responsible for mission critical research and analytical reports and metrics that are viewed at the highest levels in the organization. We are also working on near-real-time analytics using the latest set of tools for data visualization and investing in Big Data technologies. You should have deep expertise in the design, creation, management, and business use of extremely large datasets, as well as data security and privacy standards and best practices.The role offers a unique opportunity to manage and build new data storage, pipelining, and visualization solutions from the ground up. You should possess high attention to detail, have excellent communication skills, resourceful, customer focused, team oriented, and have an ability to work independently under time constraints to meet deadlines. You will be comfortable thinking big and diving deep. A proven track record in taking on end-to-end ownership and successfully delivering results in a fast-paced, dynamic business environment is strongly preferred. Above all you should be passionate about working with large data sets and someone who loves to bring datasets together to answer business questions and drive change.Key job responsibilities· Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using AWS services and internal BDT tools· Implement data structures using best practices in data modeling, ETL/ELT processes, and SQL, Redshift, and OLAP technologies to support research needs· Interface with researchers and business stakeholders, gathering requirements and support ad-hoc data access to large data sets· Build and deliver high quality data sets to support research scientists and customer reporting needs· Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers· Become a subject matter expert on Alexa and Amazon data sources relevant to Alexa marketing researchers’ use cases, and assist non-technical stakeholders with understanding and visualizing data· Educate the team on best practices for upholding data security and data privacy standards· Maintain clear and consistent documentation of relevant data sources and code frameworksAbout the teamThe Alexa Marketing Science (AMS) team is a team of Research Scientists and UX Researchers that surfaces timely, scientifically-grounded insights about customers to guide marketing and product leaders.BASIC QUALIFICATIONS- 5+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS ...

At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. If you'd like to help us build the place where people can find and buy anything online, this is your chance to make history. Come help us create innovative capabilities for Amazon's Associates, managers, and leaders to support the evolution of People eXperience and Technology (PXT).Our solutions give Amazon associates around the globe the flexibility to enrich their job experience through pay incentives and job mobility. We thrive on developing world-class experiences for associates worldwide to empower them to increase their income, explore job options, train, choose, and progress in their careers at Amazon. As a member of this team, you are changing people's lives by creating the tools that help them advance in their careers!The Workforce Solutions team builds and delivers world-class products/services for Amazon’s hourly associates. We are using modern technologies to solve complex human problems at scale. We deliver an engaging, intuitive, personalized experiences that empower employees to quickly take control of their work life anytime, anywhere.Do you love building data solutions at scale? Are you excited by the opportunity to design tools and infrastructure needed to analyze large volumes of data? Do you want to help solve big data problems, and partner with stakeholders to understand how to best design and implement data solutions that provide answers to key business questions? Do you want to be a part of a fast-paced environment and contribute to one of the most visited sites on the Internet?At Amazon, we hire the best minds in technology to innovate on behalf of our customers. The focus we have on our customers is why we are one of the world’s most beloved brands – customer obsession is part of our company DNA. Data engineers use technology to solve complex problems and get to see the impact of their work first-hand.The challenges data engineers solve for at Amazon are big and impact millions of customers, sellers, and products around the world. Our path is not always simple, so we are selective about who joins us on this journey. There is a certain kind of person who takes on this role at Amazon – someone who is excited by the idea of creating new products, features, and services from scratch while managing ambiguity and the pace of a company whose ship cycles are measured in weeks, not years.We’re on the lookout for the curious, those who think big and want to define the world of tomorrow.At Amazon, you will grow into the high impact, person you know you’re ready to be. Every day will be filled with exciting new challenges, developing new skills, and achieving personal growth.How often can you say that your work changes the world? At Amazon, you’ll say it often. Join us and define tomorrow.Key job responsibilities• Design, develop, implement, test, document, and operate large-scale, high-performant data structures for big data analytics.• Translate business requirements into robust, scalable, operable solutions that work well within the overall data architecture.• Solving complex problems by aggregating multiple large datasets to enable informed decision making.• Working with large datasets and developing big data pipelines that move data from source systems to data warehouses, S3 data lakes, and other data storage and processing systems using Big Data and Cloud technologies.• Implementing data structures using best practices in data modeling, ELT/ETL (Extract/Transform/Load) processes, using big data tools such as Spark, Hive, SQL, Apache Airflow, AWS Glue, EMR, Lambda, S3, Redshift and OLAP technologies.• Following software engineering best practices in writing code (using programming languages like Python, SQL and Scala), reviewing code with peers and testing for all related data processing systems.• Maintaining and optimizing infrastructure required to support scalable and high availability data lakes and data pipelines to store and process petabyte scale datasets.BASIC QUALIFICATIONS- 1+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)- Experience with one or more scripting language (e.g., Python, KornShell) ...

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 ...

Are you someone who likes to use big data to drive business decisions? Do you enjoy building data applications used worldwide by business leaders? Do you want to be part of the data team which measures the pulse of innovative shopping experiences? If your answer is yes, join our team. We are the Visual Search team. We work with retail category leaders, product managers, engineering leaders to ensure that we build shopping experiences using the camera that customers love and find useful.Key job responsibilitiesAs part of the Analytics team, we build scalable data solutions to enable insight generation in addition to providing analytical support for flagship initiatives for our various products such as Visual Search, Shop The Look and More Like This. Example data solutions include 1) building a tool which allows business leaders to A/B test product launches and 2) building tools and dashboards to enable business and product leaders to derive product level and business insights as well as 3) operating, improving and maintaining data pipelines for a reliable flow of data that will allow BI engineers to perform data analytics operations.A day in the lifeAs a BI Engineer in this team, you will co-own shaping the direction of Visual Search. You will work closely with business leaders to build the analytical roadmap. You will be comfortable making tough tradeoff decisions, helping define team vision and solutions. As a successful candidate, you will be able to interact with both technical stakeholders, setting tech requirements for engineering team, as well as business stakeholder to collaborate on business requirements and project outcomes.About the teamYou will be part of the Visual Search team. Our team comprises of designers, product managers, engineers, scientists and operators who obsess over customer problems and find inventive ways to solve them. Millions of Amazon shoppers use our Visual Search, StyleSnap and Augmented Reality products daily. Despite the millions of daily customers and the scale, we believe that it is Day One for Visual Search and Augmented Reality aided shopping experiences and you will be working on building the future with us.BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

Do you love data? Do you want to learn new technologies? Join our OCEANS team and help shape the future of employee compensation at Amazon! Our job is to establish data definitions, conduct research, and launch products to support the Amazon Leadership Team and Consultants in making pay decisions for employees. As a Data Engineer on our team, you'll work with cutting-edge technologies and complex data environments. You'll be responsible for enhancing our existing data architecture to further standardize metrics and definitions, developing end-to-end data engineering solutions for complex analytical problems, and collaborating with analysts, data scientists, and software engineers to translate data into actionable insights.This role requires you to live at the intersection of data, software, and science. We leverage a comprehensive suite of AWS technologies, with key tools including S3, Redshift, DynamoDB, Lambda, API's, Glue, MWAA, DataZone, and SageMaker. You will drive the development process from design to release. Key job responsibilities Managing data ingestion from heterogeneous data sources, with automated data quality checks. Creating scalable data models for effective data processing, storage, retrieval, and archiving. Using scripting for automation and tool development, which is scalable, reusable, and maintainable. Providing infrastructure for compensation analytics and science use cases. Using industry best practices in building CI/CD pipelines.About the teamJoin our team at Amazon, where data drives our global compensation strategy. As a cutting-edge business intelligence and analytics unit, we're shaping how Amazon compensates million+ employees worldwide. Our mission: to leverage advanced analytics in evaluating and scaling our annual pay policy, directly influencing the company's growth trajectory. If you're seeking a role with large-scale impact, we offer the opportunity to apply your analytical skills at the intersection of big data, human resources, and business strategy. Your work will revolutionize Amazon's compensation landscape, ensuring fair, competitive, and forward-thinking pay practices that support our company's continued success and expansion.BASIC QUALIFICATIONS- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Knowledge of software engineering best practices across the development life cycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations- Experience with one or more scripting language (e.g., Python, KornShell, Scala)- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)- 1+ years of data engineering experience ...

Come build the future as a Data Engineer at Amazon, where you will be inspired working along best-in-class inventors and innovators! You will have the opportunity to create meaningful experiences that deliver on the ever-evolving needs of our customers, and your work will impact millions of people around the world.As an Amazon Data Engineer, you will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable. You will find that there is an unlimited number of opportunities within Amazon, where developing your career across a wide range of teams is highly supported. We are committed to making your work experience as enjoyable as the experiences you’ll be creating for our customers.Apply now and you will be eligible for Amazon Data Engineer positions that are based on your preferred location, team, and more. We’re hiring across Amazon Stores in the United States and Canada.Teams with available positions include, but are not limited to:• Consumer Technology: Build new generation features and products for amazon.com, constantly improving the Customer and Seller experience for billions around the globe. Whether building site wide features such as reviews and recommendations, category specific software for the likes of Pharmacy, Electronics, Digital Software and Video Games or seller infrastructure, there are a variety of complex problems to tackle using a range of technologies in the design of your technical solutions.• Operations Technology: Shape the future of transportation planning and execution on a global scale, that impacts hundreds of fulfillment centers, thousands of Amazonians, and millions of customers across the world. Your technology will support thousands of operators worldwide to design, build and run the best-in-class Amazon transportation network. We are building intelligent software to make transportation more reliable, faster, and less costly, providing a better and less expensive experience for our customers.• Human Resources Technology: Create a seamless experience for millions of Amazonians and/or candidates. Whether supporting technologies for onboarding, time and attendance, compensation, amazon.jobs, or recruiting, you’ll deliver robust feature sets, elegant designs, intuitive user interfaces and systems that make it easy for Amazonians to excel at performing critical business functions.Key job responsibilitiesDesign, implement and support an analytical data infrastructure using AWS technologiesBuild robust and scalable data integration (ETL) pipelines using SQL, and AWS data storage technologies like Aurora, Red Shift etc.Design and develop Analytics applications using modern scripting languages (Python, R, PHP, etc) supporting critical business functions.Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.Lead architecture design and implementation of next generation BI solutionContinually improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers.BASIC QUALIFICATIONS- 1+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)- Experience with one or more scripting language (e.g., Python, KornShell) ...

Are you passionate about leveraging data to deliver actionable insights that impact long-term business decisions of AWS? Are you excited to solve business challenges through data analytics and business intelligence (BI) solutions? AWS Finance seeks a Senior Business Intelligence Engineer to join the AWS Regions Finance team.In AWS Regions we develop strategies for infrastructure in new countries and we look 10+ years down the road, oversee current region build-outs and review performance of existing regions through their life-cycle. We work closely with senior leaders in cross-functional partner organizations developing and reviewing the strategic multi-billion infrastructure investments. You will own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. within SQL, Redshift, QuickSight, etc. to support the performance management of existing and new regions.. You will be required to design and influence operational best practices for reporting and analytics to enable the team to scale as we expand. You will empower data-driven decision making through implementing principles of data mining, data modeling, and analytical skills to define and measure critical metrics. You recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. You write high quality code to retrieve and analyze data as well as analyze and solve business problems at their root, stepping back to understand the broader context. Developing pragmatic analyses and choosing applicable solutions that add value to your business area, you understand data resources and know how, when, and which to use (and which not to use). You will need to have a high bar for ownership and work autonomously to create high-quality products for the customer. You will be required to communicate project roadmap, prioritization, and release notes of new products with customer and stakeholder groups up to senior leadership.Key job responsibilities- Lead the design, implementation, and delivery of BI solutions for complex and ambiguous problems in AWS Regions- Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership- Produce written recommendations and insights for key business stakeholders in International Regions Expansion and Finance that will help shape effective metric development and reporting- Simplify and automate reporting, audits and other data-driven activities; build solutions to have maximum scale and self-service ability by stakeholders- Partner with other BI and Data 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 innovation- Own the design, development, and maintenance of ongoing tools, metrics, reports, analyses, dashboards, etc. to drive key business decisions.BASIC QUALIFICATIONS- 5+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Master's degree in statistics, data science, or an equivalent quantitative field ...

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.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 and 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 ...

CMS Data Platform team’s mission is to empower Case Management tenants to make data driven decisions and derive insights.As a Business Analyst, you will help develop an analytic platform to drive deep dives, provide insights into the health and state of the CMS insights and experience. Build mind share “CMS Insights Suite” of pre-built dashboards that support tenants covering both retrospective and reactive reporting use cases including command center view. The suite will contain data dictionary of available metrics, dashboards and data catalog around routing, case/issue handling and workforce management themes. Launch the capability to tenants providing initial metrics coverage of 80% and ability to customize around routing and case handling sections.The Business Analyst will collaborate with Paragon Product team to build a metrics to measure Paragon experience. You will own the design, creation, and management of metrics, associated dashboards and datasets. You will interact with internal program and product owners, and technical teams to gather requirements, structure scalable and performant data solutions using statistical techniques or regression models to generate insights from the structured/unstructured datasets.A successful candidate will be highly analytical, an expert with SQL and excel, seek opportunities to inject advanced analytical techniques, resourceful, customer focused, team oriented, and have an ability to work independently under time constraints to meet deadlines.Key job responsibilities• Leading complex data analysis projects to identify opportunities for improvement and optimization• Gathering and interpreting data from various sources to inform decision making• Developing and implementing solutions to optimize business performance• Creating data visualizations to communicate findings and monitor performance• Communicating findings and recommendations to senior management through presentations and reports• Mentoring and guiding junior team members in data analysis and process improvement methodologies• Assisting in the development and execution of strategic initiatives, metrics and contribution in analytical roadmaps.BASIC QUALIFICATIONS- 4+ years of business analyst, data analyst or similar role experience- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders- Experience with data visualization using Tableau, Quicksight, or similar tools- Strong analytical skills, with the ability to gather, interpret, and make insights from large amounts of data- Expert in SQL and data analysis- Experience with data visualization tools such as QuickSight or Tableau- Experience with statistical techniques, prepost analysis- Excellent communication and presentation skills, with the ability to convey complex information to a non-technical audience ...

The Go-To-Market (GTM) Team for Contact Center Management System (CCMS) within the Customer Engagement Technologies (CET) organization is seeking a highly skilled and motivated individual to help drive migrations from old legacy tools to Amazon Connect for WW Customer Service. This team is also responsible for leading functional testing, triaging emerging issues, and developing new testing solutions. An successful candidate is skilled at process development and documentation, as well as stakeholder management. You are a highly adept communicator, able to effectively build alignment with a diverse set of stakeholders, and identify and resolve the root cause of defects within current systems.Key job responsibilities- Maintain constant communication with site operations, leadership, technology teams and other internal clients customer experience status across different business lines. This involves working with various tools which are used to obtain information required by the stakeholders. - Plan and execute business and User Acceptance Testing prior to marketplace launch. - Conduct root cause analysis of issues identified during testing, and ensure timely escalation of findings to appropriate teams. - Deliver results according to project Go-To-Market strategy, and schedules, while maintaining SLAs on velocity, productivity, and quality. - Handle exceptions where there is a deviation from launch plans to maintain business continuity. - Generate and analyze metrics to identify problem areas. Suggest solutions or changes for improvement and amend SOPs once approved. - Manage projects, identify requirements, and work with various teams to improve tools and identify automation opportunities.A day in the lifeLeading the functional testing in the form of incubation launch and friends n family [first 30/60 days], including emerging issues follow-up and reporting, testing solutions, prepare and execute UAT to support the incubation phases and full launch with key stakeholders.Overall Scope: - Connect Testing Design and Planning - Internal UAT (Instance/Infrastructure Test) - Connect Functional, Configuration and Feature Testing - Handshake validation for Connect focused on CET products and integration (MU Bot, Foresight, etc.) - Bug Triaging and Driving Issue Resolution - Internal and GO CSA Testing along with GO Sites (Firewall etc.) - Direct Dial Telecom Testing (In-Country Toll-Free Number/Direct Inward Dialing Number) - Friends and Family/Incubation Readiness and First Responders Room support - Support Daily Sunset inputs for GEPM and Stakeholders- Full Launch Readiness and First Responders Room support- Miscellaneous support for Launches, Migrations, and Expansions including Ad-hoc meetings, triaging, launch readiness etc. Benefits Summary:Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:1. Medical, Dental, and Vision Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) PlanAbout the teamThis position will be a testing specialist on the Go-to-Market team and will be focused on the global migration of customer service onto Amazon Connect. This position is tasked to work closely with our customer service Operations teams, CCMS Tech, Product, and CET engineering teams to understand testing scope, create test plans and a test repository, facilitate UAT and deal with bug triaging and issue resolution for setting up our CSA network on Connect as we migrate from our legacy system onto this new product. This role will extensively test the Connect functionality, access, setups and configurations and all other go-to-market readiness to ensure the store is launch ready.BASIC QUALIFICATIONS- 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 partnering with executive-level leaders to identifying and solving business issues ...

Do you want to join one of the most exciting teams at the world's most customer-centric company? Then come soar with Amazon Global Air (AIR)! AIR is a worldwide, customer-obsessed transportation provider of choice that safely delivers low cost, high quality service. AIR realizes this vision through a talented, inclusive, and diverse team, leveraging innovative technologies and a sustainability-aware mindset.​ Our AIR Data, Analytics and Business Intelligence team's fuels AIR's success through data driven decisions. We empower AIR business with actionable insights, advanced analytics, and strategic foresight. By leveraging data as a strategic asset, we enable agility, uncover new opportunities, deliver trusted intelligence, and delight our customers.We are looking for an experienced, innovative, and strategic Business Intelligence Engineer (BIE) who will be comfortable diving into complex problems and using data to recommend business decisions. The ideal candidate will be a self-starter, highly analytical, and intensely detailed with a strong customer focus and perspective to drive strategy in a high-growth, fast-paced environment.This role will partner closely with the business teams to understand the data-needs of the team and ensure that the business teams are able to answer hard questions with real data. This individual will participate in business reviews and new-initiatives. They 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.Key job responsibilitiesData Collection and Integration:- Gather data from various sources (databases, APIs, files, etc.)- Design and implement data integration processes- Ensure data quality and consistency across systemsData Modeling and Optimization:- Implement ETL (Extract, Transform, Load) processes- Write complex SQLs to convert raw data to meaningful metrics- Optimize SQLs for improved performanceReport and Dashboard Development:- Design and create reports and dashboards using BI tools (e.g., AWS QuickSight, Tableau, Power BI, Looker)- Develop interactive visualizations to present data effectively- Ensure reports are accurate & user-friendlyData Analysis:- Conduct exploratory data analysis to uncover insights- Develop and implement statistical models and algorithms- Perform ad-hoc analysis to answer business questionsCollaboration and Communication:- Work closely with stakeholders to understand business requirements- Translate business needs into technical specifications- Present findings and insights to both technical and non-technical audiencesData Governance and Security:- Ensure data security and compliance with regulationsContinuous Improvement:- Stay updated with the latest BI tools and technologies- Automate processes where possible to increase efficiencyDocumentation and Training:- Create and maintain documentation for data models, processes, and reports- Provide training and support to end-users on BI tools and dashboardsProblem-solving:- Troubleshoot data discrepancies and technical issues- Develop solutions to complex data-related problemsData Strategy:- Contribute to the organization's overall data strategy- Identify opportunities for leveraging data to drive business valueBASIC 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 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- Bachelor's degree in Computer Science or Engineering ...

We are powering an automation and self service driven customer journey for AWS customers leveraging a range of Analytics tools to generate business shaping insights. About AWS: For more than 11 years, Amazon Web Services (“AWS”) has been the world’s most comprehensive and broadly adopted cloud platform. AWS offers over 100 fully featured services to millions of active customers around the world - including the fastest-growing startups, largest enterprises, and leading government agencies - to power their infrastructure. About the Analytics Team: The Analytics team is a small, central group in the AWS Support organization. The team comprises members from a range of skill-sets such as strategy & planning, Machine Learning / predictive analytics and Business Intelligence. The Analytics team is responsible for pushing our Product, Process and Customer understanding and insight beyond the here and now to create value for the long-term. The team is responsible for coming up with hypotheses, uncovering key insights and developing a point of view on actions across the portfolio of our products and services. About the Role: If you love driving critical thinking and insight into challenging, unstructured problems and working with leaders in the organization to bring those insights into action, this role is for you. This is a hands-on role, however, being a part of a small team gives opportunity to take ownership of the customer / business problem across the spectrum from ideation to setting it up for implementation in partnership with stakeholder teams. About the teamDiverse Experiences Amazon 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 AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life Balance We 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 Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.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- 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 ...

Blink is the result of one of the most successful Kickstarter campaigns ever, growing the business at an astounding rate since the first product introduction in 2016. Now at the forefront of the consumer electronics home security market and part of Amazon Devices, we are seeking a talented, customer-obsessed team members to join the Product Management and help bring our future product visions to life.Key job responsibilitiesThis role focuses on our device roadmap, specifically our battery operated cameras and doorbells and works directly with our hardware and app team.- Collect and analyze consumer and product research to drive product decisions- Establish and test against product requirements and KPIs for the product(s) or feature(s) to ensure the best customer experience- Collaborate with go-to-market, sales, and marketing teams to ensure consistent product messaging at and post launch- Monitor and track the competitive landscape for the product or feature category- Monitor the impact of feature launches across our products using CSAT indicators like Amazon.com ratings, iOS/Google ratings, and qualitative studies.A day in the life- Analyze the impact of feature launches across our product portfolio- Build automated dashboards to visualize KPIs over time- Work directly with the Business/Sales teams to create innovative ways to forecast and predict customer behaviorAbout the teamThe Blink product management team is small but mighty (and growing!). We are responsible for all areas of the roadmap, spanning devices, subscriptions, UX, and more. We work closely with all cross-functional teams including engineering, program management, sales, marketing, and UX to name a few. We strike a balance between start-up nimbleness and bias for action, and scaled data-driven decision making and customer obsession. We are a passionate group, collaborative in nature and firm believers in hard work and teamwork.BASIC QUALIFICATIONS- 3+ years of tax, finance or a related analytical field experience- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- 3+ years of business or financial analysis experience- Bachelor's degree or equivalent- Experience with SQL- Experience defining requirements and using data and metrics to draw business insights ...