Business Intelligence

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 ...

We are looking for an exceptional Senior Business Intelligence Engineer to help build out actionable and insightful metrics for both internal and external stakeholders. The goal of these actionable insights is to give our internal stakeholders a holistic view in to how policies connect to our customers and to help our customers better understand their advertising on Amazon. To succeed in this role, you will have strong technical acumen and extensive experience in developing reporting, BI, and data warehouse solutions. The ideal candidate will be a self-starter, comfortable diving deep, and making data driven decisions with a strong customer focus. Key job responsibilities· Develop a deep understanding of Advertising's vast data sources and know exactly how, when, and which data to use to solve particular business problems.· Conduct deep dive analyses and translate requirements into effective data visualizations and analytical solutions· Imagine and develop new ways to present data that adds value and insight· Proactively identify projects and analyses that help improve Ads Customer Trust, including defining metrics and goals.· Partner closely with other Tech, Product and Data engineering teams on the day-to-day execution of analytics, projects and initiatives About the teamCustomer trust is everything at Amazon. Our Advertising Trust organization develops policies, and builds the systems, which ensure customer trust in advertising. With a growing advertising technology business, and hundreds of thousands of active self-service advertisers across the globe, this organization is vital to ensuring we can scale while maintaining and ensuring strong customer trust. Leveraging AI, we build systemic solutions that ensure advertising adherence to the complex regulatory, legal, regional, cultural and customer expectations in over 30 countries.BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience writing complex SQL queries- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

How often have you had an opportunity to be a member of a team that is tasked with resolving customer needs through disruptive and innovative technology? Everyone on the team needs to be entrepreneurial, wear many hats and work in a fast-paced, ambiguous, and highly collaborative environment that’s more startup than big company. If this sounds intriguing, then we’d like to talk to you about a role in the Worldwide Defect Elimination (WWDE)- Concessions Analytics team. This team is focused on the customer remediation experience, building technology to identify and personalize the concessions experience for customers. To continue providing the best resolution options for customers, we seek a passionate, results-oriented, Business Intelligence Engineer (BIE) Manager. The Business Intelligence Engineer Manager will also be responsible for driving analytical strategy for their respective function and enable data driven decision making. Another key aspect of the job is to unearth insights from data to help the operations team in driving process excellence. This position requires exceptional managerial skills, statistical knowledge, superior analytical abilities, knowledge of business intelligence solutions and exposure to efficient data engineering practices. The BIE Manager will also be a stakeholder manager as they will have to work closely with senior tech and non-tech stakeholders/leaders. Candidate should be comfortable with ambiguity, capable of working in a fast-paced environment, continuously improving technical skills to meet business needs, possess attention to detail and be able to collaborate with customers to understand and transform business problems into requirements and deliverables.Key job responsibilities - Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. - Partner with operations/business teams/economist/machine learning (ML) teams to consult, develop and implement key performance indicators (KPI’s), automated reporting/process solutions and data infrastructure improvements to meet business needs. - Develop the end-to-end automation of pipelines for applications and ML models - Apply analytic skill to extract meaningful insights and learnings from large and complicated data sets. - Serve as liaison with Business and technical teams to achieve project objectives, requiring data gathering, problem solving, modeling, and communication of insights and recommendations.A day in the lifeIf 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 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) PlanBASIC QUALIFICATIONS- 7+ years of business intelligence and analytics experience- 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience- Experience with SQL- Experience with ETL- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software ...

Do you enjoy transforming data into actionable insights and taking data-driven approach to solving complex business problems? The Pricing and Analytics group on Amazon Retail Operations and Initiatives team is looking for a talented Senior Business Intelligence Engineer to drive world-class analysis and guide strategic business decisions.At Amazon, you will be working in one of the world's largest and most complex data environments. The Senior Business Intelligence Engineer occupies a unique role at the intersection of business, technology, finance, statistics, data mining, and Supply-Chain science.To succeed in this role you should be passionate about working with large datasets and be someone who loves to bring data together to answer key business questions. You should have deep expertise in the creation and management of datasets and the proven ability to translate the data into meaningful insights. You should have a solid understanding of efficient and scalable data mining and an ability to use the data in financial and statistical modeling. In this role, you will have ownership of end-to-end development of reports and solutions to complex questions and you’ll play an integral role in strategic decision-making. Key job responsibilitiesGather data and perform sophisticated analytical exercisesEmploy data mining, segmentation, and other analytical techniques to capture important trends and create relevant measurement dashboardsDrive standardization, simplification and automation of internal processes and data productsManage weekly and monthly business reporting and create relevant measurement dashboardsWork with various stakeholders to understand business drivers, goals, and actionable outcomes using analyticsManage databases and work with technology teams to develop systems to support business intelligence needsA day in the lifeThe successful candidate will be comfortable with advanced SQL query design and data mining techniques, have strong analytical and communication skills, and have a passion for using data to drive business decisions. You attack complex business questions with data and curiosity, diving below the surface to identify the root cause. You develop strong working relationships with business partners (such as Amazon Pricing, Supply-Chain and Vendor Management teams) to define and understand key business questions and analyze data to answer those questions – driving strategic business decisions. BASIC QUALIFICATIONS- 8+ years work experience in data analysis, applied statistics or econometrics- Prior experience in design and execution of analytical projects, specifically with large data sets- Proven analytical and quantitative skills and an ability to use hard data and metrics to back up assumptions and develop business cases.- Experience partnering with business owners directly to understand requirements and develop to assist in finding patterns and anomalies in customer behavior- Strong verbal/written communication & data presentation skills, including an ability to effectively communicate with both business and technical teams and develop clear, thoughtful, and comprehensive analyses of marketing programs- Strong knowledge of quantitative analytics and advanced analytical tools. Advanced SQL skills are required. ...

Amazon’s Automated Inventory Management (AIM) team is looking for passionate, hard-working, and talented individuals to join our fast paced, stimulating environment to help invent the future of business ownership with Technology, and to translate our rich data into actionable insights.in AIM, we maximize business results by bringing granular planning predictability to an inherently uncertain business. We identify & address opportunities across the supply chain – from selection through inventory management. We recognize the role that selection, inventory, and managing constraints plays in creating a world-class customer experience - driving business growth and lowering our Cost to Serve. We continuously innovate and set new standards for supply chain excellence by constantly enriching the data, models, and our north star measurements through internal and external data sources.As a Data Scientist on the AIM team, you will design quantitative systems, forecasting models and solve real world problems using the latest machine learning techniques. You will also work with a team of Product Managers, Business Intelligence Engineers and Software Engineers to research and build solutions to provide insights to business leaders at the most senior levels throughout the company.Key job responsibilitiesYou will partner with scientists, economists and engineers to propose, prototype, analyze, implement and deliver to production a variety of data science initiatives related to Amazon Business. You will develop a comprehensive understanding of Amazon Business (AB) supply chain processes and make use of rich data to make inferences about AB customer behavior. You will propose, analyze and communicate the results of experiments that measure causal effects of AB selection with great autonomy. You will define, create and present metrics that deepen our understanding of how customers interact with our offerings. You will creatively translate our collected data into initiatives with measurable impacts on customer satisfaction and AB growth. You will define team data science processes and mentor your colleagues in the art of data science. You will articulate the results of your model in business language to stakeholders.BASIC QUALIFICATIONS- 7+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience ...

Amazon is building the next generation of hardware and software products to support our global transportation network. Relay Fleet Tech owns multiple hardware and software products and tools focused on asset tracking, management, maintenance, and visibility for Middle Mile. Our primary customers are carriers, fleet operations, planning, and fraud prevention and mitigation teams. If you get excited about solving complex and impactful problems at scale, this role is for you.Our team is looking for a talented, motivated, and self-directed BI Engineer to join our team. As a BI Engineer, you will lead our team's metrics reporting and dashboards and work closely with the product and engineering teams to generate insights that will guide product development and execution for our customers.Data analysis is at the core Amazon’s culture, and your work will have a direct impact on decision making and strategy for our team. You will be gathering customer insights, mining data, making recommendations, and helping senior leaders make key business decisions. You will have the opportunity to dive into multiple transportation products and use data warehouse to gather insights.We are looking for someone with a broad technical background in data analytics/SQL/building data dashboards, strong business acumen, who takes ownership of their work, and is focused on customer needs. The successful candidate will communicate crisply in non-technical terms to senior management. They will have an ability to make data-driven conclusions and will be comfortable with ambiguity while working in a fast-paced dynamic environment. The candidate will also need to be a collaborator who can work with multiple internal and external teams to define and implement solutions that will yield benefits to Amazon customers around the world. This role could also be a good fit for someone who wants to transition to product management over time. Key job responsibilities- Develop and manage the business metrics reporting process and perform ad hoc reporting requests.- Own key executive reports and metrics that are consumed by Relay leadership- Generate actionable insights through the development of metrics, dashboards and deep dive analyses- Analysis of data and metrics to identify trends and support decision making, including written and verbal presentation of results and recommendations.- Engage directly with leadership to recommend business intelligence solutions.- Model complex/abstract problems and discover insights using statistics, data mining, and visualization techniques.- Automate processes by developing deep-dive tools, UIs, metrics, and dashboards to communicate insights to stakeholders.BASIC QUALIFICATIONS- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience with data modeling, warehousing and building ETL pipelines- Experience with data visualization using Tableau, Quicksight, or similar tools ...

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 ideal candidate will draw upon advanced analytical, problem solving skills, and passion for delivering business insights and analytics. We look for candidates who are excellent communicators, self-motivated, flexible, hardworking, and who like to have fun.The complexity of research and skills for a Business 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 an ability to be a quick learner and gain proficiency is required for a successfully candidate. 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.- Retrieving and analyzing large sets of data using Excel, SQL, and other data management systems.- Designing and implementing reporting solutions to enable stakeholders to manage the business and make effective decisions.- Taking ownership of reporting processes to ensure that each report is accurate and timely with a high degree of customer focus in resolving data discrepancies.- Building and managing related key performance indicators (KPIs) to measure, control, and benchmark reporting processes.- Monitoring existent metrics, building new metrics, 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.- Generating complex queries to dive deep on process issues- Innovating to improve customer experienceBASIC QUALIFICATIONS- 3+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- Experience defining requirements and using data and metrics to draw business insights- Experience with SQL- Experience making business recommendations and influencing stakeholders- Bachelor's degree or equivalent- 3+ years of business analyst, data analyst or similar role experience ...

We are looking for a passionate Business Intelligence Engineer to join a growing BI team in the AWS Support Commercial Product organization to help inform the direction of AWS Support and Amazon Managed Services through data, at scale. The successful candidate will have strong Business Analytics skills, be comfortable using SQL to identify KPIs to drive business growth, analyzing data to inform strategic and tactical initiatives, and write up findings for less-technical audiences. Strong SQL (any implementation) is a must. Scripting skills and a background in Business are extremely valuable. This is a highly visible role that partners with Product Management, Marketing, Finance, and other stakeholder teams.Key job responsibilities- Manipulate/mine data from database tables (ex. Redshift) using SQL and ETL- Develop analytical tools: deep-dive tools, UIs, metrics, and dashboards- Perform deep-dives and root cause analysis to answer business questions- Work with cross functional stakeholders in defining the source of truth and obsessively making sure the data fidelity is high- Effectively communicate (written and verbal) solutions and methodologies to senior leadership- Work with engineering teams to enable the appropriate capture and storage of data- Complete ad hoc data retrieval and analysis- Monitor existing metrics, develop and propose new metrics, and identify new, actionable risk signalsAbout the teamThe AWS Premium Support product team manages the strategy for AWS's Support and Managed Service Offerings. The team is responsible for defining new support and managed services products, customer experiences, pricing, and financials. We keep iterating on products and services to help customers achieve their goals on AWS.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.BASIC QUALIFICATIONS- 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 ...

The Supply Chain team is looking for a Principal Product Manager, as part of the Supply Chain Placement analytics team. 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.As a Principal Product Manager, you’ll:- Define strategy by proactively identifying customer needs and looking around corners for business impact opportunities- Drive strategic alignment with senior leaders using data and insights through decision narratives, and proposals.- Set multi-year vision and strategy, inspiring annual plans for a team to execute- Be the customer voice; always work backwards from customers to guide roadmap prioritization decisions.- Guide project, science and engineering managers with trade-offs between customer benefit and complexity.- Own regular business reviews with senior leaders/executives WW.- Evangelize through training, white papers, and presentations to executivesKey job responsibilitiesYou will lead critical large-scale initiatives for inventory placement WW leveraging analytics, systems and 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- Work closely with partner teams to align deliverables such as supply chain roadmaps- 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- Partner with worldwide technical teams to develop new features- Clearly communicate goals, roles, responsibilities, desired outcomes, and progress to cross-functional project teamsA day in the lifeAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:1. Medical, Dental, and Vision Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) PlanIf you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!BASIC QUALIFICATIONS- - 10+ years of product, program or similar experience- - Experience owning/driving roadmap strategy and definition- - Experience with feature delivery and tradeoffs of a product- - Experience with cross-functional teams in an ambiguous environment- - Strong data analysis skills, ability to produce, interpret and draw conclusions from data, including proficiency in SQL and Microsoft Excel- - Strong written and verbal communication skills, with history of senior leader interaction ...

Come and be a part of a rapidly expanding $35 billion-dollar global business. At Amazon Business, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech and retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations re-imagine buying. Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes and unlocking our potential worldwide.Amazon Business Flywheel Input (ABFI) Analytics team is looking for an experienced Business Intelligence Engineer to excel at product and service pricing. Amazon Business (AB) represents an incredible opportunity to address a vast new market segment and customer base for Amazon. We are focused on building solutions that enable B2B customers to find and buy products and services across multiple devices and marketplaces. The Analytics team owns the data driven decision making for key AB problems including price setting, selection additions and operations optimization. Amazon Business is a fast growing business sector. We need leaders who can think big and drive big vision into a reality. Please come to work with us if you are result driven, think big, and want to have fun and make a history. You will build the analytics and the supporting structures needed to analyze, dive deep, and innovate the pricing strategies. You will also have the opportunity to present findings to cross functional team partners to drive improvements. You will work closely with the Product/Program Managers, Data Engineers, Applied/Research/Data Scientists, Economists and Software Development Engineers to solve challenging problems. You need be comfortable using intellect, curiosity and technical ability to develop innovative solutions to business problems. You need learn different aspects of the business and understand how to build or apply analytics tools to solve high impact business problems. You will be expected to provide clear and concise explanation to results and approaches as well as provide opinion and guidance on problem solving.The ideal candidate will have proven ability to develop, enhance, automate, and manage science models from end to end. The ideal candidate will have data mining and analytical skills and will be comfortable facilitating think big ideas and working from concept through to execution. The ideal candidate must have demonstrated ability to manage medium-scale automation and modeling projects, identify requirements and build methodology and tools that are mathematically grounded but also explainable operationally, and apply analytical skills to adapt to changing attributes. Key job responsibilities• Work closely with the BIEs, DEs and Scientists in the team and collaborate effectively with product managers to create scalable solutions for business problems.• Create program goals and related metrics, track progress, and manage through obstacles to help team achieve objectives• Identify opportunities for improvement or automation in existing data processes and lead the changes using your business acumen and data handling skills. • Use the best practice on data integrity, design, test, implementation, documentation, and knowledge sharing. • Contribute to supplier operations strategy development based on data analysis• Lead strategic projects to formalize and scale organizational processes• Build and manage weekly, monthly and quarterly business review metrics. • Build data reports and dashboards: Leverage your data skills and technical means (SQL, Excel, etc.) to improve on business efficiency across programs.A day in the lifeYou will build the analytics and the supporting data structures needed to analyze, dive deep, and innovate the pricing strategies. You will also have the opportunity to present findings to cross functional team partners to drive improvements. You will work closely with the Product/Program Managers, Data Engineers, Applied/Research/Data Scientists, Economists and Software Development Engineers to solve challenging problems. About the teamAmazon Business (AB) represents an incredible opportunity to address a vast new market segment and customer base for Amazon. We are focused on building solutions that enable B2B customers to find, research, and buy products and services across multiple devices and marketplaces. The Amazon Business Science and Analytics team owns the science and analytics for key AB problems including price setting and selection additions. 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 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 ...

Are you passionate about building GenAI based business insights? Do you want to be a part of a fast-paced, ambiguous environment and contribute to one of the biggest payment platform on globe?In this role you will be responsible for solving complex and ambiguous data and metric problems. You will use latest AWS provide Data Analytics and GenAI tools to provide business metrics for senior leaders. You should have a track record of end-to-end ownership and successfully delivering results in a fast-paced and dynamic business environment. You should be able to work on complex initiatives, deal with ambiguity. You will be required to work with senior leaders, product managers, program managers and sister data teams to understand metrics like ASR, Bad Debt, PSR etc. You will also need to provide metrics around code development, ticket resolution etc.Key job responsibilitiesAs a business intelligence engineer, you will/may:* Be highly data driven, resourceful, customer-obsessed and team oriented* Use latest AWS provided data analytics and GenAI tools* Design, develop, and implement scalable, automated processes for data extraction, processing, and evaluation* Define data driven approaches and metrics strategy to uncover new insights* Have a passion for sourcing, manipulating, and visualizing data to tell business stories* Be able to clearly communicate strategic findings and recommendations* Translate complex, technical concepts into business terms and vice versa* Work with engineering and data teams to support the development of tools and dashboardsAbout the teamPayments ML and Data team in GPTech, Amazon Payments, owns the Data and ML use cases, services, product for core payment platforms. We provide payments data to 550+ clients teams in Amazon and have AI/ML products based on that data impacting annual GMS of more than $100MM.BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

Amazon Grocery is seeking a Business Intelligence Engineer (BIE) who is passionate about data, analytics, science, and automation. Our team, seeks to Invent & Simplify solutions that increase the speed and quality of decision-making through research and models, business process automation, business analysis and reporting. In this role, you will have the opportunity to touch every aspect of our business from strategy to procurement to customer delivery experience.As a BIE on our team you will focus on exciting and challenging problems, including:- Apply your deep analytic and business intelligence skill to extract meaningful insight from large and complicated data sets- Engage business stakeholders in constructive dialogues to convert business problems into logic problems that can be solved with data, statistics, and/or scripting- Design, develop, and implement scalable, automated infrastructure for data extraction, processing, computation, and delivery- Support fellow engineers and scientists to deliver analytical projects and build proof of concept applications- Work closely with data engineering, product management, and business stakeholders to deliver features to customers- Learn new technology and techniques such that you can meaningfully support product and process innovation- Help drive new initiatives and data integration projects.Key job responsibilities- Analyze and visualize transaction data to determine customer behaviors, and output solid analysis report with recommendation- Design and drive experiments to form actionable recommendations. Present recommendations to business leaders and drive decisions. Also manage implementation of those recommendations.- Develop metrics that helps support product category growth and expansion plansBASIC 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 ...

The Selling Partner Services Agent Development team is the training and development organization tasked with understanding the needs to hire and develop Global Seller Support Associates and Risk Investigators to support our Sellers, Vendors, and Buyers in our Amazon.com marketplace. The AD Optimization and Measurement (ADOM) team strives to ensure agents' capability to deliver the best outcomes for Amazon Sellers and Buyers by measuring and optimizing learning efficacy throughout their continuous development journey. We are a team of Researchers, Analysts, and Engineers who source and organize the right data to empower our learning experience designers and training partners to effectively measure and optimize the learner journey.Key job responsibilitiesSelling Partner Services Agent Development 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 ideal candidate will draw upon advanced analytical, problem solving skills, and passion for delivering business insights and analytics. As a Business Analyst, you will focus on solving real world problems and build business cases to enable the organization to scale and invent on behalf of its customers. A key component of the role is to identify improvement opportunities by monitoring existing metrics, analyzing data, and partnering with many internal teams. In addition, you will design and develop automated reporting solutions to enable stakeholders to manage the business and make effective decisions. Lastly, you will enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format. The ideal candidate will be expected to influence and work with other leaders within the broader organization.BASIC QUALIFICATIONS- 3+ years of tax, finance or a related analytical field experience- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- 3+ years of business or financial analysis experience- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders- Experience with Excel- Bachelor's degree or equivalent ...

Shopbop.com is seeking a Business Analyst to support the Sr. Product Manager of Logistics, and the Operations team. This position will be responsible for delivering accurate business and cost reporting metrics for Outbound, Inbound and Return logistics while developing data visualizations and building automation solutions that drive business decision making and process improvement. You will define core metrics and KPIs, build analyses that uncover actionable insights and tell a story, and create/maintain operational dashboards used by a variety of stakeholders. The position interfaces with stakeholders ranging from product managers, software, and data engineers.The ideal candidate will draw upon advanced analytical, problem-solving skills, and passion for delivering business insights and analytics. This role has great exposure to a broad scope that can shape the future of operational fulfillment.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.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. Retrieving and analyzing large sets of data using Excel, SQL, and other data management systems. Designing and implementing reporting solutions to enable stakeholders to manage the business and make effective decisions. Taking ownership of reporting processes to ensure that each report is accurate and timely with a high degree of customer focus in resolving data discrepancies. 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. Driving small to medium operational enhancement projects. Generate complex queries to dive deep on process issues Innovate to improve customer experienceBASIC QUALIFICATIONS- Bachelor's degree in supply chain management, operations, engineering, analytics or related field- 3+ years of business or financial analysis experience- Experience with Excel- Experience with SQL- Experience making business recommendations and influencing stakeholders- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience defining requirements and using data and metrics to draw business insights ...

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers who work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling, and fun. Amazon Robotics empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfillment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas. Amazon Robotics internship/co-op/full-time opportunities will be based out of the Greater Boston Area in our two state-of-the-art facilities in Westborough, MA and North Reading, MA. Both campuses provide a unique opportunity to have direct access to robotics testing labs and manufacturing facilities.Key job responsibilitiesAmazon Robotics Storage Technologies is looking for a Business Intelligence Engineer Co-op to analyze robotic systems, improve program dashboards, and to create data pipelines through AWS. A successful co-op candidate will use data and technology to seek improvements or find disruptions in current storage field operations. In addition, a successful team member seeks opportunities to deep dive issues & influence future decisions, automate and standardize tools & processes where needed. Candidates should have experience in business analytics, data science, data visualization, data engineering, and communicating analyses effectively. Amazon Robotics’ culture encourages innovation and expects co-ops to take a high level of ownership in all tasks.As a Business Intelligence Co-op you may:* Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to support analytical and business needs* Analyze historical data to gauge relative performance metric changes, highlighting causation. * Analyze data related to storage solutions to evaluate expected vs actual system performance and entitlement* Work with partner teams to onboard data from other Amazon data providers* Write queries to pull data and act as a thought partner through the design phase of CI & NPI solutions* Evaluate and observe data practices in your own work and throughout the team, always insisting on the highest standards* Recognize and implement best practices and automation opportunities for reporting and analysisAbout the teamThe Robotic Storage Technology BI, Analytics and Data Science team (RST-BAND) is comprised of data scientists and Business Intelligence Engineers who support data exploration and analysis to support Amazon Robotics (AR) fulfillment buildings and new product development. We conduct relevant, insightful analysis and communicate the results through white papers, dashboards, and presentations. Our methods include design of experiments, statistical modeling, financial analysis, data pipelining, exploratory data analysis, metric generation, and data visualization.BASIC QUALIFICATIONS- Currently enrolled in Bachelor's, Master’s degree or higher in the US in an analytically rigorous field (Mathematics, Data Science, Statistics, Computer Science, Industrial Engineering, Econometrics) or other equivalent discipline- Must be eligible and available for a full-time (40h / week) 5-6-month in-person internship in spring 2025- Experience building dashboards in Tableau or other relevant data visualization tool (Looker, PowerBI, Grafana, etc.)- Write high-quality and optimized SQL queries to retrieve datasets- Basic understanding of Python for exploratory data analysis and modeling- Ability to communicate analytic results effectively across stakeholder groups ...

Utility Computing (UC)AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services.About 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.Diverse 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. 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 & 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. Amazon is looking for a highly respected Business Intelligence Engineer to join the AWS Product BI team. This is your opportunity to be a core part of the team that has direct impact on the day-to-day decision making in the many AWS Product teams like EC2, S3 and IoT.Since early 2006, AWS has provided companies of all sizes with an infrastructure platform in the cloud. AWS is a high-growth, fast-moving division within Amazon with a start-up mentality where new and diverse challenges arise every day. On the AWS Product BI team you will be surrounded by people that are exceptionally talented, bright, and driven, and believe that world class BI is critical to our success. To help build this growing team, you must be highly analytical and possess a strong passion for analytics and accountability, set high standards with a focus on superior business success. We take working hard, having fun, and making history seriously. AWS sets the standard for functionality, cost, and performance for many cloud based services, but it’s still early days for cloud computing, and there are boundless opportunities to continue to redefine the world of cloud computing - come help us make history! As a BI engineer on this team, you will be responsible for generating new insights to help guide the strategic direction of our products and businesses. You will get the exciting opportunity to work on very large data sets in one of the world's largest and most complex data warehouse environments. You will work closely with the business and technical teams in analysis on many non-standard and unique business problems and use creative-problem solving to deliver actionable output. Our team is serious about great design and redefining best practices with a cloud-based approach to scalability and automation. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment, and an ability to work effectively with cross-functional teams.Key job responsibilities - Work with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs. - Design and implement reporting solutions enabling stakeholders to manage the business and make effective decisions. - Conduct ad hoc data analysis and data quality investigations. - Implement training and documentation solutions that enable business stakeholders to get the most out of our self-serve reporting tools. - Develop and support the analytical technologies that give our customers timely, flexible and structured access to their data. - Design and implement an analytical environment using third-party and in-house reporting tools, modeling metadata, building reports and dashboards. About the team Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. This position involves on-call responsibilities, typically for one week every two months. We don’t like getting paged in the middle of the night or on the weekend, so we work to ensure that our systems are fault tolerant. When we do get paged, we work together to resolve the root cause so that we don’t get paged for the same issue twice. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.BASIC QUALIFICATIONS- - Bachelor's Degree in Computer Science or a related technical field, and solid years of relevant experience.- - 5+ years of experience with and detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures.- - 5+ years of experience with relational and star schema data modelling concepts with a solid knowledge of SQL and PL/SQL.- - 2+ years of large IT project delivery for BI oriented projects.- - 2+ years of working with very large data warehousing environment ...

The Operational Reporting & Analytics (ORA) team is seeking an experienced and motivated Business Intelligence Engineer (BIE II) to design, develop, and innovate analytics products that support Amazon Grocery's strategic goals. This is a unique opportunity for someone inspired by Amazon's core values and is interested in working in a high-growth grocery business. Key job responsibilitiesYou will partner with Software Development Engineers, Data Engineers, Business Analysts, Product Managers, and Program Managers to design, develop, automate, and innovate analytics solutions. The ideal candidate has strong business judgment, backbone, and collaborates well with product owners to answer key questions. The operating environment is fast-paced and dynamic, balanced by a strong team and welcoming culture. To thrive, you must be detail-oriented, enthusiastic, and flexible; in return you will gain tremendous experience with the latest in BI technologies as well as exposure to several functional areas such as labor, inventory, store operations, food safety, and merchandising. A day in the life- Work with leadership to define and execute the analytics strategy for Amazon Grocery- Design and develop user-friendly pipelines, data models, reports, and dashboards - Partner with stakeholders to design, develop, and implement KPIs, automated solutions, and data infrastructure improvements - Liaison with stakeholders to refine requirements and achieve project objectives — requiring data gathering, problem solving, modeling, and communication of insights and recommendations - Participate in stand-ups, design BI solutions, and create documentation and artifacs - Lead and mentor more junior team membersAbout the teamWe enable sophisticated, fact-based decision making across Amazon Grocery by delivering constantly evolving technology and analytic capabilities. This team will solve challenging and novel problems every day and have the opportunity to redefine the grocery industry while collaborating with multiple teams across Amazon Grocery brands including Whole Foods Market, Amazon Fresh, and Amazon Go. You will be able to enjoy and contribute to the unique blend of Amazon's culture. You will be based out of Austin, TX.BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

Amazon Publisher Services (APS) seeks a Business Intelligence Engineer (BIE) with strong technical, analytical, and business intelligence skill sets and experience to be a key partner for Amazon’s Advertising business, focusing on third party supply. This individual will be a key contributor in building out business insights, analysis, and BI infrastructure. In this role, the BIE will influence the direction of the business by leveraging Amazon Ads data to deliver insights that drive decisions and actions. This role involves translating broad business problems into specific analytics projects, conducting deep quantitative analyses, and communicating results effectively. There is a high potential for growth in this role as we transform our data into actionable insights that continue to fuel the growth of this business. The role will help the APS organization identify, evaluate, and evangelize new techniques and tools to continue to improve our ability to deliver value to Amazon’s Customers.This role requires an individual with excellent business, communication, and technical skills, enabling collaboration with various cross-functional partners. A successful candidate is a self-starter, comfortable with ambiguity and complex datasets, and solving business problems. This individual must have strong ownership and an ability to work in a fast-paced, ever-changing, and high-energy environment.Join this team to experience the benefits of working in a dynamic, entrepreneurial environment, while leveraging the resources of Amazon Inc. (AMZN), one of the world’s leading Internet companies. We provide a highly customer-centric, team-oriented environment in our offices located in Palo Alto, Austin, New York, Los Angeles, London, and Tokyo. Learn more at aps.amazon.com.Key job responsibilities* Define data requirements, translate business problems into data questions and build new metrics to draw business insights* Design, develop, build, and maintain scalable data solutions, including infrastructure, pipeline, reporting, to support long-term business strategies* Explore and deep dive into new areas across various programs as well as business functions to support business decision making* Work cross-functionally with other teams in various job families to gather data sources to provide a comprehensive view of the business, inclusive of supply, demand, sales, etc.* Present analytical findings and make business recommendations to senior leadership * Conduct best practices in reporting/analysis: data integrity, test design, analysis, validation, and documentation* Develop exploratory analyses including use of statistical techniques and explore emerging technologies such as ML to build models and tools used by management for decision making* Simplify and re-invent current data solutions to support the business scope expansionAbout the teamAmazon Publisher Services helps digital publishers around the world build and grow thriving businesses. We provide services and advanced technologies to web, mobile app, and streaming TV publishers of all sizes, to help them monetize their content with demand from Amazon and other programmatic buyers. Our server-side header bidding solutions are fast and reliable across devices, handling billions of queries per day, delivering ads in milliseconds. The result is more profitable advertising for publishers and more relevant ads for customers.BASIC QUALIFICATIONS- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Knowledge of SQL and data warehousing concepts- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- 3+ years of analyzing and interpreting data with Redshift, Athena, MySQL etc. experience ...

Amazon Advertising is dedicated to driving measurable outcomes for brand advertisers, agencies, authors, and entrepreneurs. The Advertising team seeks the world's brightest to lead next-generation solutions that enable advertisers to reach customers across our owned and operated sites, on other high-quality publisher sites, and on millions of desktops, mobile, and connected TV devices. We start with the customer and work backwards in everything we do, including Advertising. We are seeking candidates who are interested in building large-scale systems that integrate across multiple sources. These products provide sales enablement to the sales team and drive business growth.As a Business Intelligence Engineer, you will mine large amounts of data, build metrics, and drive customer adoption. You will work closely with customers, product managers, and engineers to drive automated analytics, reporting, and decision making. If you love working with big data and delivering the insights you discover through business intelligence reporting, then this is the job for you.What does it take to succeed in this role? Excited by the scale at which we work. A roll-up-your- sleeves attitude. You should be a self-starter who loves working with Business Intelligence tools and thrives on dealing with the intricate complexity of large data sets. You are analytical and creative and you don’t quit.Key job responsibilities- Analyze data to find actionable insights that lead to business insights and opportunities.- Build dashboards and custom reports to track performance and investigate key business questions.- Engage with diversified customer groups to understand their needs and deliver business intelligence solutions.- Partner with Data engineers to define the data elements that the team should leverage to enable capabilities.- Recommend new metrics, techniques and strategies to improve the operational and quality metrics.- Recognize and adopt best practices in reporting and analysis: data integrity, validation, and documentation.A day in the life• Work with the customer to understand their problems and needs.• Dive deep to find the root cause of the problem • Collaborate with the tech team and bring the solutions to life.• Connect with the customer throughout the product lifecycle and ensure we exceed their expectation.About the teamHighly cross functional team that has product managers, business intelligence and full stack engineers who collectively collaborate to solve the problems faced by customers. We thrive by brainstorming and bouncing off solutions that transform the lives of our customers.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 ...

SCOT's Automated Inventory Management (AIM) Planning team is seeking a Business Intelligence Engineer who enjoys the challenge of diving into complex problems and solving the unsolvable to help our executives make impactful decisions.In this role, you will support inventory management innovation, AIM Inventory Planning roadmap and system improvements to automate worldwide inventory management, and identify and drive long term free cash flow opportunities.You will work closely with Scientists, Engineers and Product Managers to build scalable, high insight- high impact products and lead retail inventory planning cycles, to enable top-notch Amazon global retail inventory efficiency strategy within our rapidly growing, dynamic business and influence Amazon's inventory management decisions on a day-to-day basis.Key job responsibilitiesIn this role you will…• Collaborate with and influence a wide set of stakeholders, providing thought leadership, product expertise, and business insight.• Own and execute retail inventory guidance planning cycles, as inputs into global Amazon financial plans and network plans• Work across AIM Planning, PMs, Engineers, Scientists, Finance, and SCOT teams to deliver the Inventory Planning BIE Roadmap.• Dive deep to create insights on how well Amazon is taking care of the customer as it relates to product availability and inventory levels• Drive changes through insights to improve a wide range of internal products that impact planning, buying and sourcing.• Develop improvements and invent new ways to look at / trends via an internal worldwide customer portal.• Interface with cross-functional teams to build centralized tools that will allow for rapid defect detection and repair.• Partner with Engineers and Software Engineers to design products and systems to transform and store billions of items using AWS redshift• Explore/analyze and work with Product Managers to understand customer behaviors, spot system defects, and benchmark our ability to serve our customers• Design and implement technical solutions with an appropriate analytics strategy and data set design; make technical trade-offs for long-term / short-term needs; and drive best practices in operational excellence, data modelling, and analysis.BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience writing complex SQL queries- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...