Business Intelligence

Do you love solving problems whose solutions make the world a better place? As the Amazon Community Impact team, we lead philanthropic initiatives for leveraging Amazon's assets for good, concentrating on the pillars of Education, Housing Equity, Disaster Relief, Food Security, and support for employees and teams volunteering in our communities. https://www.aboutamazon.com/impact/communityAs a Data Engineer you will work in a small, highly collaborative, results-oriented tech team (BIEs, DEs, SDEs), and will be partnering with Product and Program Managers, in a environment that leverages agile planning techniques. The successful candidate will write high-quality code, and work with various stakeholders to design, implement, and support a scalable data infrastructure for business intelligence and analysis, balancing and aligning their requirements with the team long term data vision. We are looking for an engineer who is comfortable working through ambiguity and is a creative problem solver. And, of course, has a passion for the community.Key job responsibilitiesAs a Data Engineer, you will design, develop and enhance scalable data systems and pipelines supporting Amazon's ability to scale our work with community partners, and to measure the activity and impact globally. You will build conceptual data models to harmonize disparate data sets, and technical solutions that scale across use cases. You will become a subject matter expert for community, impact and charitable giving data pipelines across dozens of internal and external data streams, while striving for efficiency by aligning data systems and data management approaches with organizational needs. You will collaborate with other data engineers, software developers, business intelligence engineers as well as program and product partners to deliver end to end solutions that meet business goals. You will work with your internal customers to balance customer requirements with team requirements and develop data solutions to help your team and business evolve.A day in the lifeYou'll be part of a bigger tech team (SDEs, DEs, and BIEs) joining all their ceremonies, starting with the sprint planning, dailies, demos and retrospectives.The ACI team has created and launched the following projects as part of their day to day, with our tech owners playing a key role. We look forward to hearing your ideas for what could be next:Disaster Relief by Amazon: https://www.aboutamazon.com/news/community/amazons-disaster-relief-doesnt-end-with-donationsFood Security: https://www.aboutamazon.com/impact/helpforhunger Donations Hub:https://business.amazon.com/en/discover-more/blog/donationshubMeet an Amazonian:https://www.aboutamazon.com/news/community/amazon-employees-share-their-stories-to-spark-student-curiosity-in-techBASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL ...

Our teams strive to make Amazon the best place for our Selling Partners to reach consumers, driven by the experience and support we provide them in growing their businesses locally and globally. We leverage technology including automation, self-service, associate tools, and machine learning to both prevent Seller, Vendor and Brand contacts based on knowledge obtained during our support interactions, and to handle those contacts with quality and efficiency. We hire the world’s brightest minds, offering an environment in which they can relentlessly detect, design, and drive solutions to improve the Amazon customer experience. We do this every day by solving complex business and technical problems with ingenuity and simplicity. We are looking for a Business Analyst with expertise in data analytics skills, strong business acumen, an ownership mindset and ability to clearly communicate. In this role, you will leverage our data to drive efficiencies, provide key data-driven insights, enable new opportunities and innovate on behalf of business customers, in close partnership with business teams. You will manage and execute entire components of large projects from start to finish including data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations. You will also support building metrics and reporting on them to senior leadership.A successful candidate will develop a strong understanding of our business and make data-driven conclusions to drive Selling Partner Support Expereince. They will be comfortable with ambiguity while working in a fast-paced dynamic environment. They will also continuously learn new systems, tools, and industry best practices to help design new tools that help our team automate, and accelerate analytics. Key job responsibilities• Oversee business and finance reporting and analytics• Understand input drivers and validate integrity of the reporting to influence strategic decision-making and planning• Build and drive planning, forecasting, and reporting models• Generate actionable insights through the development of metrics, dashboards and deep dive analyses • Communicate data (both written and verbal) in a clear, concise, and unambiguous manner• Influence critical business decisions with dataBASIC QUALIFICATIONS- 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- Experience making business recommendations and influencing stakeholders- Experience in Excel (including VBA, pivot tables, array functions etc) and data visualization tools such as Tableau ...

Core Shopping (CS) Analytics turns disparate, raw data into actionable insights that improve every customer’s ability to securely discover, evaluate, and purchase products and services across the Amazon store. We own the analytics for the Navigation, Homepage, Inspire, App First, Detail Page, Cart, Checkout, Add-to-Cart, and Address experiences. Key job responsibilitiesYou are an Analytics subject matter expert for the Buying Experience team, presenting the best and most relevant product/offer evaluation information for every customer’s shopping mission. You will own the core datasets to understand how customers engage with core features on Detail Page to evaluate a product. You will develop a framework to understand the levers that drive a successful experience and build automated reporting with actionable insights for stakeholders to improve it. You will deliver in-depth analysis and recommendations to drive the product roadmap, generating incremental business value. You will partner with Science teams to improve relevance. As the chief evangelist, you will drive adoption of your dataset and mental model across the Consumer organization.A day in the lifeWe build in 5-week Sprints with 1 week for planning and 4 weeks for execution. Planning Week is used to groom the backlog and to scope & prioritize projects. We reserve the Friday of every Planning Week for a self-directed Learning Day. Over the 4 Execution Weeks, we have regular stand-ups and a mid-sprint demo. Projects will vary sprint to sprint among building derived/aggregate datasets, conducting analysis, and pushing learnings to customers.About the teamToday, we empower 500+ Builders directly and 100+ unique partner teams via our ‘Source of Truth’ datasets, self-service dashboards/gits, scheduled reports, and custom metrics consumed for cross-store evaluation. In 2023, we supported new experiences end-to-end from logging to reporting/self-service and continued maturing our foundational service offerings to enable more bandwidth for insight generation. BASIC QUALIFICATIONS- 5+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience with theory and practice of design of experiments and statistical analysis of results- Experience with AWS technologies- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with theory and practice of information retrieval, data science, machine learning and data mining ...

Amazon Last Mile DSP is seeking an extraordinary Data Engineer to join the DSP Analytics team. At Amazon, we are working to be the most customer-centric company on earth -- including how we fulfill and deliver customer orders. The goal of Amazon’s Service Partner (DSP) Management Team 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 experience through the introduction of pioneering new products and services in the last mile space. This person will play a key role in providing the end-to-end engineering solutions to support key business initiatives related to Insurance products and Insurance claims. If you are passionate about technologies, strongly biased to go deep to find insights and build scalable analytical platform, relentless in ensuring quality and reliability, and feel comfortable communicating with different levels of leadership, you are the candidate we are looking for! You should have deep expertise in the creation, management, and business use of datasets, across a variety of data platforms. You should have excellent business and interpersonal skills to be able to work with business owners to understand data requirements, and to build to ingest the into the lake. You should be an authority at crafting, implementing, and operating stable, scalable, low cost solutions to flow from production systems into the data lake. Above all you should be passionate about working with complex business datasets and someone who loves to bring datasets together to answer business questions and drive growth. You will develop new engineering patterns that leverage new cloud architectures, and will extend or migrate existing pipelines to the architectures as needed. You will be responsible for designing and implementing the complex pipelines in data platform and other BI solutions to support the rapidly growing and dynamic business demand, and use it to deliver the data as service which will have an immediate influence on day-to-day decision making at Amazon.com Key job responsibilities* Develop data products, infrastructure and data pipelines leveraging AWS services (such as Redshift, Kinesis, EMR, Lambda etc.) and internal Amazon tools.* Improve existing solutions and come up with next generation Data Architecture to improve scale, quality, timeliness, coverage, monitoring and security.* Develop new data models and end to data pipelines.* Lead design reviews for other Data Engineers on the team and actively participate in design reviews of related tech products.* Provide technical and thought leadership for Data Engineering and Business Intelligence within the org.* Create and implement Data Governance processes for mitigating privacy and security risks.About the teamWe are the core Amazon DSP business intelligence 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.BASIC QUALIFICATIONS- 5+ years of data engineering experience- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data modeling, warehousing and building ETL pipelines- Knowledge of distributed systems as it pertains to data storage and computing- Experience working on and delivering end to end projects independently- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby- Experience with Redshift, Oracle, NoSQL etc. ...

We are seeking a Business Analyst to support Amazon's global 3P fee strategy for upstream and inbound services related to Selling On Amazon. Our 3P (Third-Party) business includes Fulfillment By Amazon (FBA) and Merchant Fulfillment Network (MFN) channels. With Sellers contributing to over 50% of Amazon’s online sales, 3P Fee strategy is integral to Amazon’s ability to deliver on its goal of offering a vast selection of products at low prices to customers.The successful candidate will have strong analytical background, track record of effective business partnership, and ability to deliver results in an ambiguous, fast-paced, and dynamic environment. The candidate must have the ability to communicate and collaborate effectively across cross-functional and cross-regional stakeholders to understand topline and cost drivers, and deliver high quality insights to senior leaders to influence fee strategy.We are looking for someone with expertise in data analytics skills, strong business acumen, an ownership mindset and ability to clearly communicate. In this role, you will leverage our data to drive efficiencies, provide key data-driven insights, enable new opportunities and innovate on behalf of business customers, in close partnership with both finance and business teams. You will manage and execute entire components of large projects from start to finish including data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations. You will also support building metrics and reporting on them to senior leadership.A successful candidate will develop a strong understanding of our business and make data-driven conclusions. They will be comfortable with ambiguity while working in a fast-paced dynamic environment. They will also continuously learn new systems, tools, and industry best practices to help design new tools that help our team automate, and accelerate analytics. Key job responsibilities• Oversee business and finance reporting and analytics• Understand input drivers and validate integrity of the reporting to influence strategic decision-making and planning• Build and drive planning, forecasting, and reporting models• Identify and support the automation of manual reports• Generate actionable insights through the development of metrics, dashboards and deep dive analyses • Communicate data (both written and verbal) in a clear, concise, and unambiguous manner• Influence critical business decisions with dataA day in the lifeAs the Business Analyst, you will work closely with multiple business and finance teams including product and tech team, data science team, and operations, to shape the monetization of our 3P business. You will help the team identify growth and profit opportunities, partnering with the business teams to develop cost reduction strategy for a global multi-Billion dollar cost reduction goal.About the teamThe WW Product & Tech Finance team focuses our effort on high impact analytical problem solving. Because of this unique focus we attract curious self-starters that thrive on developing new ideas. We have a tight business partnership with the WW FBA product and tech team and Operations where working groups organically coalesce to tackle big problems and opportunities.BASIC QUALIFICATIONS- 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- Experience making business recommendations and influencing stakeholders- Experience in Excel (including VBA, pivot tables, array functions etc) and data visualization tools such as Tableau ...

The PXT Empl Onboarding&Admin Svcs team is looking for a Business Intelligence Engineer (BIE) support critical data reporting and analytics initiatives for the Joining Amazon Domain.The BIE will work closely with the service to gather comprehensive data requirements and coordinate with partner teams to source the necessary data from diverse data lakes, maintaining data parity and continuity during platform migrations/deprecation.The BIE will play a key role in the organization's AWS account management and security certification, proactively identifying and resolving security violations, managing IAM roles and policies, and configuring data ingestion workflows leveraging 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 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 developing and presenting recommendations of new metrics allowing better understanding of the performance of the business ...

Prime Video is an industry leading, high-growth business and a critical driver of Amazon Prime subscriptions, which contribute to customer loyalty and lifetime value. Prime Video is a digital video streaming and download service that offers Amazon customers the ability to rent, purchase or subscribe to a huge catalog of content. As a Data Engineer, you will be working in one of the world's largest and most complex data warehouse environments. You will design, implement and support scalable data infrastructure solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models and ad-hoc data requests. You will be exposed to cutting edge AWS big data technologies. You will also have the opportunity to create white papers and build POCs. In this role, you will have the opportunity to build complex, high-performing, and scalable data products. In this role you will help scientists collect the latest worldwide video data, customer segments, and diverse signals of marketing impressions to support scaled forecasting tools. You will be working with a diverse group of economists and machine-learning researchers on business critical projects. Key job responsibilitiesInterface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL/python and AWS big data technologies such as EMR, Redshift.Explore and learn the latest AWS technologies to provide new capabilities and increase efficiencies.Designing and implementing complex ETL pipelines by processing petabytes of data that empowers scientists in team to build large scale Machine Learning models.Work closely with Product Managers, Applied Scientists, and Economists in team to explore new data sources and build pipelines for same that expands existing ML models.Design and build Data products such as data-quality, anomaly detection and data governance.A day in the lifeThe mission of the Video Content Research team is to provide analytics and science to support customer-driven content decisions. We are product focused, so we build reliable, scalable, worldwide tools. We measure the long-run economic value of Prime Video, and we help define the strategies and support decisions to maximize this value. Our team values close collaboration, and we strive to constantly learning new machine-learning and cloud-computing technologies.About the teamOur team predicts how many customers will watch any new show that Amazon Studios is considering creating. We build complex data products to provide insights into customer segments worldwide and support scaled forecasting tools. We measure and forecasts the performance of our marketing campaigns, and how many new customers will our advertising spend drive. We collect diverse signals of marketing impressions and publish model outputs for driving key business decisions. We analyze key metrics that attract new Prime members. We build tools that measure the long-run value driven by customer engagement with our content.BASIC QUALIFICATIONS- 4+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets ...

Transparency represents an incredible opportunity to raise retail industry standards around authenticity, product transparency, and supply chain tracking. We are focused on building a global service which allows consumer brands and consumers to trace the origin of items throughout the supply chain ensuring only authentic items enter the supply chain. The Transparency service is focused on preventing the receipt and sale of counterfeit goods both online and offline. Our customers include individual consumer brands who sell both on and off of Amazon directly or through a network of direct and third-party sellers.Transparency is looking for an exceptional Business Analyst who loves solving complex problems to drive analysis and insights to help our teams make meaningful business decisions. The person should have a detailed understanding of a business requirement or the ability to quickly get to the root cause of a particular business issue, and draft solutions to meet requirements or resolve the root problems. You will work closely with program managers and product managers to analyze massive data sets, identify areas to improve, define metrics to measure and monitor programs, and most importantly work with different stakeholders to drive improvements over time. You will also work closely with internal teams to extract or mine information from our existing systems to create new analysis, and expose data from our group to wider teams in intuitive ways.Key job responsibilitiesAn ideal candidate for this role:· Will have relevant experience in data analytics working with large data sets using various tools and technologies· Will transform data into actionable business information, and will make it readily accessible to stakeholders worldwide· Will use data to support ideas, drive actionable outcomes, and provide unique ways to present data and information in an easy to consume format· Will be passionate about finding root causes, trends, and patterns and how they impact business.· Will draw inferences and conclusions, create dashboards and visualizations of processed data· Will have business and communication skills to be able to work with product owners to understand key business questions to build reports that enable product owners to answer those questions quickly and accurately. Will be very comfortable juggling competing priorities and handling ambiguity. Will thrive in an agile and fast-paced environment on highly visible projects and initiativesA day in the lifeAs a Business Analyst, you will help develop an analytic solution to drive deep dives, provide insights and measure business impact. You will transform data into actionable business information, and will make it readily accessible to stakeholders worldwide. You will own the design, creation, and management of extremely large datasets. From Day 1, you will be challenged with a variety of tasks, ranging from creating datasets, reports, dashboards to metadata modeling, pipeline monitoring. You will interact with internal program and product owners, and technical teams to gather requirements, structure scalable and perform data solutions, and gain a deep understanding of key datasets.BASIC QUALIFICATIONS- Experience defining requirements and using data and metrics to draw business insights- 3+ years of tax, finance or a related analytical field experience- 3+ years of business or financial analysis experience- Experience with SQL- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- Bachelor's degree or equivalent- Experience with Excel- Experience making business recommendations and influencing stakeholders ...

The Supply Chain S&OP team is looking for a Senior Business Intelligence Engineer. You will contribute to defining and building inventory placement success metrics, and finding ways to reduce distance to customers by placing the right items in the right Amazon building in order to increase delivery speed and reduce costs. You will chase defects in our systems, leaving no stone unturned to delight our customers with wider selection. This role will give you a unique view on Amazon systems, process and operations, interacting with planning teams, fulfillment centers and worldwide technical teams. If you are someone who has shown success in analyzing, diving deep in complex data, streamlining and identifying process improvement opportunities and pioneering new ways to do things, we’d like to talk to you. Key job responsibilitiesYou will lead critical performance management initiatives for inventory placement leveraging complex data management/visualization and presenting those to different levels within the company:- Design and own the right set of metrics measuring inventory placement performance- Recommend improvements to the placement strategy using modelling and large datasets. You'll guide planning teams and other relevant stakeholders with regards to the mix of products to place in Amazon buildings, maximizing selection and reducing distance to customers and spinning the Amazon flywheel!- Pioneer new ideas to increase speed and reduce delivery cost to customers- Pilot and implement your recommendation in production through smart configurations in Amazon systems- Develop the analytics required to visualize opportunities and measure progresses- Partner with worldwide technical teams to develop new featuresBASIC 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 ...