Business Intelligence

Have you ever ordered a product on Amazon and, when that box with the smile arrived, wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon? If so, the Amazon Supply Chain Optimization Technology (SCOT) organization is for you. SCOT offers a unique opportunity to create and see the direct impact of your work on billions of dollars’ worth of inventory, within one of the world’s most advanced supply chains, at a massive scale.Watch this video to learn more about our organization, SCOT: http://bit.ly/amazon-scotAt the center of SCOT is our lab team. We own large-scale, in-production A/B testing systems to drive innovation in production systems. Inventory planning involves many algorithms to buy inventory in the right quantities, at the right frequencies, from the right vendors, and assign it to the best warehouses to fulfill customer demand, optimizing long-term free cash flow for Amazon. Our experimentation platform is critical in driving continued optimizations to the many algorithms behind Amazon’s worldwide supply chain. We are hiring and are especially looking for Business Intelligence Engineers (BIE).Finally, here are some more reasons you might find this opportunity exciting:Being part of a team that is at the heart of the most sophisticated supply chain and decision-making system on the planet.Working at the intersection of analytics, science, and engineering to impact the Amazon user experience (by helping supply chain teams run experiments that allow for speed and same-day availability, for example), saving hundreds of millions of dollars using cutting-edge science and technology along the way.Being part of a team that values creativity and welcomes outside-the-box thinking (thinking big!).Being part of a team with a high emphasis on a positive work culture of collaboration.Being part of a fast-growing team with many growth opportunities.Key job responsibilitiesAs a Business Intelligence Engineer in SCOT Lab, you will solve real-world problems by analyzing large amounts of business data, defining new metrics and business cases, designing experiments, creating models, and collaborating with teammates in business, software, and research. The successful candidate will have a strong analytical background and can thrive in an environment that leverages statistics, machine learning, operations research, and business analysis. As a BIE in the SCOT Lab team, you will work closely with some of the brightest software engineers, scientists, economists, and product managers to solve highly complex supply chain challenges.BASIC QUALIFICATIONS- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- 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 BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field ...

As a Business Intelligence Engineer on the Finance team supporting Amazon Marketing Cloud, you'll play a critical role in unlocking data-driven insights to power the next generation of Amazon's advertising solutions. In this highly visible position, you'll tackle complex business challenges, design scalable data models, and build cutting-edge analytics - all with the goal of delivering innovative, impactful solutions. With a deep understanding of SQL and data visualization, you'll be a significant contributor who can consistently deliver high-quality, maintainable work with limited guidance. If you're a self-starter who thrives on solving ambiguous problems, loves collaborating with cross-functional teams, and is passionate about leveraging data to drive business strategy, this could be the perfect role for you.Key job responsibilitiesThe ideal candidate will be responsible for identifying and addressing complex business problems and opportunities to improve Amazon Marketing Cloud systems, processes, and tools. They will implement data-driven solutions by designing efficient data models and developing SQL/Python scripts, balancing customer requirements with technological constraints. The successful candidate will set data modeling standards and best practices, while also uncovering insights through statistical analysis. It will be crucial to collaborate closely with business customers, cross-functional teams, and senior leaders to refine requirements, solve problems, and deliver new solutions. When the business requires more granular data access, the candidate will help minimize bottlenecks and advise customers on self-service options. They will also own key metrics, prepare and automate reporting for business reviews, and support executive decision-making with data insights. Essential skills include a bias for action, strong attention to detail, the ability to learn quickly, and the capacity to adapt in a fast-paced, changing environment. The candidate must insist on high standards, make sound decisions, exhibit ownership and accountability, and apply appropriate technologies following best practices.A day in the lifeAs a Business Intelligence Engineer for Amazon Marketing Cloud, your days will be a dynamic mix of technical and collaborative work. You'll partner with product, finance, and engineering teams to design scalable data solutions powering new advertising innovations. You'll also analyze KPIs, forecast key metrics, and uncover insights to inform critical business decisions - including preparing and automating reporting for regular reviews.No two days will be the same, but you can expect a steady stream of new challenges, high-visibility projects, and opportunities to make a real impact. If you thrive on solving ambiguous problems, have familiarity with Spektr tables, and drive data-driven innovation, this role is sure to engage you.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 have a passion for customer experience and a mindset for data-driven problem solving? Do you want to be part of a team forging new ways to experience Amazon deliveries? We turned the transportation industry on its head by offering 363 day-a-year delivery, what will we do next? Middle Mile Performance Management (MMPM) is looking for a talented Business Analyst who will own analytics and develop solutions to drive insights and optimization for driving Carrier Performance improvements. As a member of this team, you will have an opportunity to be a thought leader in Middle Mile by working with a group of talented program managers, product managers, operations, and business leaders to design the Amazon network of the future. This position requires superior analytical thinking, ability to quickly approach large ambiguous problems and apply analytics, technical and engineering expertise to rapidly analyze, validate, visualize, prototype and deliver solutions. This position also requires significant cross functional activity and integration with transportation, tech, operations and finance. Successful candidates must thrive in a fast paced environment. Business Analysts are responsible for converting data into actionable business insights. They are analysis experts who leverage a variety of data platforms and analytical tools to provide timely, meaningful, and consumable information. They build deep contextual and domain knowledge. They ensure data quality and build scalable tools. They communicate findings with the most effective and influential methods. Amazon is seeking an exemplary Business Analyst with broad technical skills to develop data visualizations and build automation solutions that drive business decision making and process improvement. The person in this role will draw upon advanced analytical, problem solving skills, and passion for delivering business insights and analytics. The complexity of research and skills for a Business Analyst is well beyond basic data entry and extraction. It involves design and development of automated data pipelines, sophisticated analytical modeling and intuitive data visualization. This role will directly be responsible for maintaining front end code using Python, SQL, HTML, Java, and R, or other similar coding languages. Proficiency in the aforementioned languages is not required, but preferred. This role will have high level visibility due to the nature of the toolsets being maintained, built, and the network impact of analysis conducted. This role has great exposure to a broad scope that can really help shape the future of operational fulfillment and promotes career progression.Key job responsibilities- Provide data management processes such as accessing raw data feeds, building queries and macros, writing VBA code, organizing data and designing reports that present status-at-a-glance visualization for business performance.- Retrieve and analyze large sets of data using Excel, SQL, and other data management systems.- Design and implement reporting solutions to enable stakeholders to manage the business and make effective decisions.- Take ownership of reporting processes to ensure that each report is accurate and timely with a high degree of customer focus in resolving data discrepancies.- Build and manage related key performance indicators (KPIs) to measure, control, and benchmark reporting processes.- Monitor existent metrics, build new metrics, and partner with internal teams to identify process and system improvement opportunities.- Support cross-functional teams on the day-to-day execution of the existent program implementation.- Generate complex queries to dive deep on process issues- Innovate to improve customer experienceBASIC QUALIFICATIONS- 5+ years of business analyst, data analyst or similar role experience- 5+ years of Excel or Tableau (data manipulation, macros, charts and pivot tables) experience- Bachelor's degree or equivalent- Experience with SQL ...

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

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 ...

Amazon’s Selling Partner Insights and Analytics (SPIA) organization is seeking an experienced Business Intelligence Engineer (BIE) who will be a key contributor and sparring partner, developing analytics and insights for products that directly impact sellers experience on Amazon. If you are a self-starter, someone who thrives in a fast-paced and ever-changing environment, with an uncanny knack and passion for turning qualitative analysis and observations into diagnostics and recommendations, then you are the right candidate for our team.Join us at the Central analytics Team of Amazon's Selling Partner (SP) Support Org and become part of a global team that is redefining the future of e-commerce. With access to vast amounts of data, cutting-edge technology, and a diverse community of talented individuals, you will have the opportunity to make a meaningful impact on the way sellers engage with our platform and customers worldwide. Together, we will drive innovation, solve complex problems, and shape the future of e-commerceKey job responsibilitiesBe a thought leader: Interface with business partners, architect, design, implement, and support BI projects & tools that derive insights and shape important, worldwide business decisions.Dive Deep, Raise the bar and insist on high standards: Recognize and adopt best practices in analysis and reporting, data integrity, test design, analysis, validation, and documentation. Support your leadership team with deep-dives and insights that improve our performance and productivity, so we can serve our customers even better.Deliver Results: Be inspired by the motto of Customer First, use outstanding business acumen, technical and analytical skills to drive real, actionable results.A day in the lifeThe Sr. BIE role will be focusing on Selling Partner Experience Analytics including customer satisfaction metrics, Amazon associate’s performance, Operational metrics and more. This includes metrics measuring new contact channels like Chat and Escalate my Case, but also Global Operation metrics (service level, first touch resolution, average handling time and so on).They will focus on creating actionable insights and recommendations and not just gathering data. They will have passion for data and analytics, be an independent innovator comfortable with ambiguity. They'll have strong attention to detail, an ability to work in a fast-paced and entrepreneurial environment. About the teamSelling Partner Insights and Analytics team mission is to build listening mechanisms to gather frictionless SP feedback, generate insights at scale, and enable teams to prioritize and measure improvement opportunities. Selling Partner Insights and Analytics focuses on surfacing SP sentiment data/insights and connecting our stakeholders to actual SP experiences. The team performs analyses, creates visualizations and develops automated reporting solutions that help drive data driven decision makingBASIC QUALIFICATIONS- Master's degree in statistics, data science, or an equivalent quantitative field ...

It’s no secret that Amazon relies on its technology to deliver millions of packages every day to its customers – on time, with low cost. The Middle Mile Supply and Routing Optimization team builds complex software solutions that work across our vendors, warehouses and carriers to optimize both time & cost of getting the packages delivered. Our services already handle thousands of requests per second, make business decisions impacting billions of dollars a year, integrate with a network of small and large carriers, owner operators and drivers worldwide, manage business rules for millions of unique products, and improve ordering and delivery experience for millions of online shoppers. That said, this remains a fast growing business and our technical journey has only started. Our mission is to build the most efficient and optimal transportation solution on the planet, using our technology and engineering muscle as our biggest advantage. We aim to leverage cutting edge technologies in big data, machine learning, and optimization techniques, and operate high volume, low latency, and high availability services. As a member of this collaborative team, you will have an opportunity to make an impact in Amazon Logistics and work with a group of talented program managers, product managers, research scientists, software developers, and business stakeholders to design the Amazon network of the future.As a Sr. Business Analyst, you will operate at the crossroads of multiple complex Amazon systems, getting global visibility of how Amazon moves inventory across out network and serves our customers. Specifically, this role will be responsible for owning our most critical efficiency metrics including: Loaded Drive Time (how well we utilize our capacity), Cost per Block Hour (how well we secured the right mix of capacity based on the expected efficiency), and Cost per Loaded Hour (the combination of Loaded Drive Time and Cost per Block Hour). As a business owner you will be expected to produce weekly metrics and callouts, perform deep dives as new products launch that could impact these metrics, contribute to monthly business reviews with VPs, and build models to forecast these metrics for annual/quarterly planning cycles. These metrics are directly used to drive our financial plan, almost all product features in our space are designed to improve these metrics, and they have VP level visibility. The successful candidate will be voraciously curious about Amazon’s transportation operations and how data consumed and produced by our systems can be used to improve outcomes and lower costs. Your responsibility is to expose and measure the current performance of our systems, find and quantify opportunities for improvement, and dive deep into existing algorithms to explain unexpected performance. We are looking for innovators to be a sophisticated user of data querying tools, and an expert at synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication.Responsibilities: - Perform complex analysis and data resarch to identify opportunities to reduce transportation costs through efficiency improvements, eliminate defect, improve customer experience, and support critical business decisions. - Design, develop, and establish KPIs and run complex network simulations to provide strategic insights to drive growth and performance. - Systematically identify data source/forecast error and follow through on the resolutions to ensure that future plans are updated with improved business processes. - Requires ability to perform/own reoccurring and ad-hoc business intelligence projects. - Develop standardized metrics to evaluate and benchmark pertaining to short and long term network planning and forecasting. - Pull and report data from numerous databases (using Excel, SQL and/or other data management systems) and proven capability to dive deep and utilize known research and problem solving techniques. - Communicate complex insights to stakeholders, both verbally and in writing.BASIC QUALIFICATIONS- 5+ years of tax, finance or a related analytical field experience- 3+ years of writing SQL queries and creating business intelligence reports using Tableau, Power BI experience- Bachelor's degree- Experience defining requirements and using data and metrics to draw business insights- Experience with Excel- Experience with SQL- Experience making business recommendations and influencing stakeholders ...

Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you? If so, the Amazon Logistics, Last Mile team is for you. We manage the delivery of tens of millions of products every week to Amazon’s customers, achieving on-time delivery in a cost-effective manner.We are hiring a Business Intelligence Engineer to identify strategic initiatives that will form the next generation of Amazon Logistics. As a Business Intelligence Engineer you will be working in one of the world's largest and most complex data warehouse environments. In this role, you will primarily work on designing and building automated reporting and dashboards using complex data. We are still in the nascent stage so it is an exciting opportunity to be involved from design-to-execution. As a BI Engineer, you will operate as a mix of hands-on builder and influencer.The team’s success depends on our ability to create actionable insight from the data that we and our partners generate. The ideal BIE candidate will have excellent analytical abilities, business acumen, high judgment, strong technical skills, and good written and verbal communication skills. This person will be a self-starter, comfortable with ambiguity, able to think big and be creative (while paying careful attention to detail), and enjoys working in a fast-paced dynamic environment. To be successful in this role, you should have broad skills in data mining, be comfortable dealing with large and complex data sets, while applying analytical rigor to solve business problems.This role is cross-functional - you will work closely with partners in Product Management, Training and Program Management to design and deliver data needs. You should be comfortable working in a dynamic, start-up environment, and seek data-driven decision-making. You should have strong analytical and communication skills and be able to work with product managers and business development teams to define key business questions and build data sets and models that answer them.Key job responsibilities- Develop complex queries for ad hoc requests and projects, as well as ongoing reporting.- Design, develop and maintain scalable, automated, user-friendly systems, reports, dashboards, etc. that will support our analytical and business needs- Design, implement, and support key datasets that provide structured and timely access to actionable business information addressing stakeholder needs.- Interface directly with stakeholders, gathering requirements and owning automated end-to-end reporting solutions.- Partner with analysts, data engineers, business intelligence engineers, and software development engineers across Amazon to produce complete data solutions.- Simplify and automate reporting, audits, and other data-driven activities; build solutions to have maximum scale and self-service ability by stakeholders- Proficiency with SQL queries to retrieve and analyze data. Learn and understand a broad range of Amazon’s data resources and know how, when, and which to use.- Estimate models, write analyses, and extract insights and provide business recommendations.- 10-20% travel per quarter.About the teamWe serve AMZL’s Learning teams as the strategic thought leader, looking beyond where other teams are focused to drive transformative solutions that leverage technology and processes to improve learning outcomes and drive down the cost to serve.BASIC QUALIFICATIONS- 5+ years of professional or military experience- 5+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience with theory and practice of design of experiments and statistical analysis of results- Experience with AWS technologies- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- 5+ years’ experience using business intelligence tools like Tableau, QuickSight, PowerBI etc. ...

Are you looking for a role that allows you to shape the future of how sellers sell their products globally with Amazon? Do you like working in a start-up like environment with the opportunity to have a significant impact from day 1? Do you have an insatiable curiosity about why Amazon global stores operate as they do and how Amazon could optimize its global selling business? If so, then keep reading as this could be the role for you.Over 2MM active sellers in 22 countries (and growing) list their products for sale on the Amazon stores. Sellers are a critical part of Amazon’s ecosystem to deliver on our vision of offering the earth’s largest selection and lowest prices. As a Business Analyst on Listing Analytics team, you will be responsible for bringing data to the table, specifically seller anecdotes and business metrics. The ideal candidate thrives in working in large and complex data warehouse environments, has excellent verbal and written communication skills, is motivated by developing innovative and simplified solutions to solve complex analytical problems and is passionate about working with large data sets and bringing data together to answer business questions and drive change. These analyses and solutions will be fundamental to finding opportunities and creating new programs aimed at further growing on Amazon stores. In this role you will:• Engage with leadership and diversified customer groups to understand the needs and recommend business intelligence solutions.• Partner with engineering teams to define the data elements and data structures that the team should leverage to develop critical seller experience metrics.• Design, implement, and support platforms that provide business teams ad-hoc access to large datasets for self service deep dives (eg: data visualization tools for non-tech business users)• Interface with business customers, gather requirements and deliver complete reporting solutions.• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.• Participate in strategic & tactical planning discussions• Standardize data and report consumption across all customer groups.• Make recommendations for new metrics, techniques, and strategies to improve the operational and quality metrics.• Be connected and influential within the Amazon analytics community. Work with business intelligence engineer, data engineering, software development teams to enable the appropriate capture and storage of key data points.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 defining requirements and using data and metrics to draw business insights- Experience with Excel- Experience with SQL- Experience making business recommendations and influencing stakeholders ...

Do you want to reinvent shopping on Amazon? With ever expanding selection, and ambient computing looming on the horizon, it's time to create a new shopping experience, beyond search & browse. It's time to make purchasing with the help of Alexa trivially easy, and delight customers at the level of a knowledgeable, personal shopping assistant that helps them save time and money. It's time to leverage big data and machine learning to generate relevant and trustworthy recommendations for billions of shopping journeys through billions of products, and to make it easy and natural for customers to discover those recommendations. We are seeking the industry's best to help us create new ways to interact, search and shop. Alexa Shopping BI Team's vision is to empower Alexa Shopping teams by (i) providing BI capabilities that support measuring, understanding and assessing key inputs / outputs related to business decisions and (ii) uncovering actionable insights to address challenging business questions. In this role you will: - Work closely with Alexa Shopping Product Managers, Software Development Managers and Software Development Engineers to gather requirements and help identifying the right technical artifact, while ensuring prioritization and transparent communication.- Work closely with Data Engineering to ensure high quality instrumentation that allows to analyze trends and metrics at the most granular level.- Build scalable solutions, using analytics tools and languages (notably SQL), to provide data and KPIs to inform business decision through streamlined reporting and visualization/reporting tools such as Quicksight.- Collaborate with stakeholders to create additional metrics and processes based on program changes and customer requirements.- Perform quantitative analyses to uncover areas of opportunity and present written business recommendations that will help shape Alexa Shopping product roadmap.- Help defining and analyzing A/B testing, ensuring statistical significance and educating stakeholders to properly interpret results.- Collaborate with finance as a leader of ongoing analytical support.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 data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business ...

Conversational search shopping team is looking for an innovative, hands-on and customer-obsessed Business intel engineer. Candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, excellent technical skills and should be able to juggle multiple tasks at once.Key job responsibilitiesIdeal candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience and get the right things done.This job requires you to constantly hit the ground running and have the ability to learn quickly. Primary responsibilities include defining the problem and building analytical frameworks to help the operations to streamline the process, identifying gaps in the existing process by analyzing data and liaising with relevant team(s) to plug it and analyzing data and metrics and sharing update with the internal teams.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 ...