SEO Manager, Search Intelligence & AI T-Mobile US IncSEO Manager, Search Intelligence & AIBellevue, WA$75,800–$136,800 / yearThe right person is genuinely curious about how AI search is evolving, as comfortable digging into performance data as they are discussing visibility trends, and able to communicate complex findings clearly to people across different functions. Partner with data and analytics teams to translate the Search team's business needs into clear requirements for the reports and dashboards the program depends on, ensuring outputs are accurate and useful.
NewSr PMM Security, Competitive Intelligence Microsoft CorpSr PMM Security, Competitive IntelligenceRedmond, WA$106,400–$203,600 / yearRequired Qualifications: Bachelors degree in Marketing, Computer Science, Business, or a related field and 5+ years of experience in product marketing, competitive intelligence, cybersecurity, or a related field; OR Masters degree and 3+ years of relevant experience; OR equivalent practical experience. We are seeking a Senior Product Marketing Manager, Competitive Intelligence, to develop an evidence-based view of the security landscape and translate technical and market signals into insights that shape strategy, positioning, product direction, and go-to-market decisions across Microsoft Security.
Senior Business Intelligence Engineer - Agentic Development Microsoft CorpSenior Business Intelligence Engineer - Agentic DevelopmentRedmond, WA$119,800–$234,700 / yearMasters Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelors Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience. Microsoft's Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence.
Sr. Principal - Intelligence Engineering AIML Slalom IncSr. Principal - Intelligence Engineering AIMLWA$229,000–$281,000 / yearFrom strategy through delivery, our agile teams across 52 offices in 12 countries partner with clients to co-create powerful customer experiences, modern ways of working, and meaningful impact. You'll partner with clients to move from early experimentation to production-grade intelligent systems, establishing patterns for scalability, reliability, and governance, while helping shape Slalom's broader AI strategy and capabilities.
Principal Applied Scientist, Advertiser Demand Intelligence Microsoft CorpPrincipal Applied Scientist, Advertiser Demand IntelligenceRedmond, WA$142,800–$274,800 / year3+ years of technical leadership experience in an applied science or data science team setting - this could include leading a team of scientists or acting as the key technical decision-maker on cross-discipline projects, with responsibility for delivering major features or systems. Experience with natural language processing and LLMs - a deep understanding of how large language models can be applied, and practical experience either using pre-trained LLM APIs or training/fine-tuning NLP models for tasks such as summarization, question-answering, or conversational interfaces.
Director - Intelligence Engineering Slalom IncDirector - Intelligence EngineeringWA$213,000–$266,000 / yearCultivate a sense of community and encourage a culture of collaboration and curiosity by taking part in and coordinating opportunities, such as presenting at technical conferences, community groups, writing blog articles, and contributing to partner-coordinated workshops. As a Senior Principal in Intelligence Engineering, you will define, design, and lead the delivery of enterprise-scale AI/ML and agentic AI solutions, shaping how intelligent systems are built, deployed, and scaled across organizations.
CTO - Agentic Process Automation & Intelligence Salesforce IncCTO - Agentic Process Automation & IntelligenceSeattle, WA$236,810–$316,750 / yearIn California and New York, and select cities in the metropolitan areas of Boston, Chicago, Seattle, and Washington DC, the base pay range for this role in those locations is $260,470 - $348,390 per year. You will act as a trusted advisor to C-suite executives at our most strategic accounts, translating the complexities of Agentic Process Automation into scalable, high-impact business outcomes.
Director, Strategy (Artificial Intelligence) Expedia Group IncDirector, Strategy (Artificial Intelligence)Seattle, WA$207,500–$290,500 / yearExpedia Group's family of brands includes: Brand Expedia, Hotels.com, Expedia Partner Solutions, Vrbo, trivago, Orbitz, Travelocity, Hotwire, Wotif, ebookers, CheapTickets, Expedia Group Media Solutions, Expedia Local Expert, CarRentals.com, and Expedia Cruises. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey.
Lead, Workforce Intelligence Salesforce IncLead, Workforce IntelligenceSeattle, WA$148,500–$223,900 / yearCross-Functional Collaboration: Collaborate with HR Product, Data Engineering, and partner data teams to align strategies, proactively remove technical and organizational blockers, and ensure the insights roadmap stays on track. Influence & Collaboration: Proven ability to navigate a matrixed environment, collaborate cross-functionally, and translate technical complexity into clear business value.
Lead, Workforce Intelligence Salesforce.com, Inc.Lead, Workforce IntelligenceSeattle, WA$148,500–$223,900 / yearCross-Functional Collaboration: Collaborate with HR Product, Data Engineering, and partner data teams to align strategies, proactively remove technical and organizational blockers, and ensure the insights roadmap stays on track. You'll combine strong analytical skills, Tableau expertise, and experience with AI and agentic tools to deliver clear, actionable insights to senior leaders, and help shape how those insights are built and delivered as our capabilities evolve.
CTO - Agentic Process Automation & Intelligence Salesforce.com, Inc.CTO - Agentic Process Automation & IntelligenceSeattle, WA$236,810–$316,750 / yearIn California and New York, and select cities in the metropolitan areas of Boston, Chicago, Seattle, and Washington DC, the base pay range for this role in those locations is $260,470 - $348,390 per year. You will act as a trusted advisor to C-suite executives at our most strategic accounts, translating the complexities of Agentic Process Automation into scalable, high-impact business outcomes.
Senior Business Intelligence Developer Logic20/20Senior Business Intelligence DeveloperSeattle, WashingtonStrong background in SQL Server 2005 or 2000 development, with proficiency in Integration Services (SSIS), Reporting Services (SSRS), Analysis Services (SSAS), stored procedure development and triggers. The Senior BI Developer is expected to be adept at recognizing, subscribing and applying best practices, methodology, tools and techniques to meet client requirements, timelines and budgets.
NewBusiness Intelligence Field Interviewer Port of SeattleBusiness Intelligence Field InterviewerSeattle, WAAs a Business Intelligence Field Interviewer, you will collect data from and about Sea-Tac (SEA) passengers and other Port customers through activities such as administering surveys, conducting short interviews, observing and recording customer behavior, and overseeing electronic people counters or other devices that record user information. With facilities and property ranging in scope from a half-acre park to one of the largest airports and container terminals on the West Coast, we maximize the public assets in our portfolio with an eye toward best uses and environmental sustainability.
Principal PMT, Creative Intelligence AmazonPrincipal PMT, Creative IntelligenceSEATTLE, WAKey job responsibilities Define product vision and strategy for creative optimization and intelligence systems, creating a clear multi-year roadmap that guides engineering, science, and design efforts across the organization Own the product definition for closed-loop systems that generate, score, serve, measure, and continuously improve creative performance Establish quality and performance frameworks that define success across creative quality, advertiser performance, and system efficiency Drive cross-organizational alignment by influencing priorities and building consensus across multiple engineering, science, and product teams Communicate strategic narratives to senior leadership, contributing to planning cycles and helping executives understand the long-term opportunity in creative intelligence A day in the life In this role, you'll focus on defining the multi-year roadmap for creative optimization and intelligence systems. As a Principal Product Manager on this team, you'll help define how creative systems evolve over the next 3-5 years, working closely with colleagues across science, engineering, and design who are equally committed to transforming how advertisers think about creative optimization.
Principal Applied Scientist , Personalized Autonomy and Proactive Intelligence (PAPI) Amazon.com IncPrincipal Applied Scientist , Personalized Autonomy and Proactive Intelligence (PAPI)Bellevue, WAThe successful candidate will bring deep technical expertise in machine learning, natural language processing, and agentic AI systems, along with the leadership ability to guide talented scientists in pursuing ambitious research that advances the state of the art in autonomous agents, proactive intelligence, and AI-driven personalization. You will technically lead a team of applied scientists to harness state-of-the-art technologies in machine learning, natural language processing, LLM training and application, and agentic AI systems to advance the scientific frontiers of autonomous intelligence and proactive user assistance.
Senior Talent Intelligence & Market Research Specialist (Recruitment) AECOMSenior Talent Intelligence & Market Research Specialist (Recruitment)Seattle, WAOperating at the intersection of Talent Acquisition, workforce strategy, and AI-enabled research, this role partners directly with TA, Talent Management and business leadership across the enterprise to anticipate talent risks and opportunities, surface where the market is moving, and enable evidence-led decisions on capability, structure, and growth. This is a highly visible Individual Contributor role designed for a sophisticated researcher who blends deep investigative rigor with the executive presence to translate complex market data into actionable hiring strategies for one of the world's largest architecture, engineering, and construction firms.
NewSenior Business Intelligence Engineer, Amazon Customer Service Amazon.com IncSenior Business Intelligence Engineer, Amazon Customer ServiceSeattle, WAYou will operate at the intersection of data engineering, business intelligence, and product analytics, building systems that make matching performance visible, measurable, and actionable for leadership and cross-functional partners across a global CS network serving 500M+ annual contacts. You will be part of a Product and Technology team in Customer Service/ Network Solutions org building the intelligence to understand why a match results in a transfer or repeat contact, applying attribution logic that distinguishes suboptimal matching from planning/supply factors and associate execution gaps.
Principal Engineer, AI and Business Intelligence, Looker Google LLCPrincipal Engineer, AI and Business Intelligence, LookerKirkland, WAWe deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. You will act as an escalation point for technical decisions across the team when necessary and function as a trusted partner for other C-level leaders in defining strategy and shaping our investment portfolio.
Group Product Manager, Cloud Business Intelligence Google LLCGroup Product Manager, Cloud Business IntelligenceKirkland, WALead the long-term product goal and strategy for emerging agentic experiences across the Cloud BI portfolio, ensuring it drives significant value for both customers and the business. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world"s information.
Software Engineering Manager – Device Intelligence and Geospatial Insights T-MobileSoftware Engineering Manager – Device Intelligence and Geospatial InsightsBellevue, WashingtonThe team collects, manages, and transforms large-scale device diagnostics into reusable data products, geospatial intelligence, and AI-enabled insights that enable teams across T-Mobile to identify customer-impacting issues faster, prioritize network investments, improve device performance, and measure the impact of network changes. The Device Intelligence & Geospatial Insights (DIGI) team transforms those signals into trusted data products, geospatial intelligence, and AI-enabled insights that influence how T-Mobile invests in its network, improves customer experience, and advances Autonomous Network capabilities.
Data Engineer II, PPE Product Intelligence AmazonData Engineer II, PPE Product IntelligenceSeattle, WAAs a Data Engineer, you will design, implement and support scalable data infrastructure solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in machine learning models and ad-hoc data requests. Key job responsibilities - Design, implement, and support data warehouse/ data lake infrastructure using AWS bigdata stack, Python, Redshift, QuickSight, Glue/lake formation, EMR/Spark, Athena etc.
Business Intelligence Engineer, WWGS Retail BI AmazonBusiness Intelligence Engineer, WWGS Retail BISeattle, WAWhat you'll bring: Strong SQL and data modeling skills, experience with BI visualization tools (Tableau/QuickSight), ability to translate ambiguous business requirements into technical solutions, and excellent communication skills for both technical and non-technical audiences. You'll partner closely with Marketing PMs and Online Growth teams to translate their questions into analyses, often jumping into SQL to pull data or building QuickSight dashboards for self-service access.
Business Intelligence Engineer, WHS Data AmazonBusiness Intelligence Engineer, WHS DataBellevue, WAexperience - Experience with data modeling, warehousing and building ETL pipelines - Experience with data visualization using Tableau, Quicksight, or similar tools - Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or quantitative field Preferred Qualifications - 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. Description At Amazon, the Leadership Principle "Strive to be Earth's Best Employer" challenges us to create "a safer, more productive, higher performing, more diverse, and more just work environment," and reinforces that nothing is more important than the safety and well-being of our teams.
Language Engineer, Artificial General Intelligence - Data Services AmazonLanguage Engineer, Artificial General Intelligence - Data ServicesBELLEVUE, WADescription The Amazon Artificial General Intelligence (AGI) Data Services organization is looking for a Language Engineer with experience in dataset construction, linguistic annotation, dialog/semantic schemas, and automatic processing of large datasets. USA, CA, Sunnyvale - 74,900.00 - 131,100.00 USD annually USA, MA, Boston - 65,200.00 - 114,000.00 USD annually USA, WA, BELLEVUE - 80,200.00 - 114,000.00 USD annually
Business Intelligence Engineer, ADSP Product Operations & Analytics AmazonBusiness Intelligence Engineer, ADSP Product Operations & AnalyticsSeattle, WAKey job responsibilities - Investigate complex business challenges by identifying root causes of delivery gaps and operational inefficiencies while uncovering opportunities to optimize outcomes and improve overall health of business operations - Design and build resilient business intelligence solutions using Redshift, Oracle, and NoSQL databases that maintain accuracy despite data quality variations across multiple platforms and systems - Develop sophisticated data models and ETL pipelines that process large-scale datasets to support rapid business growth and evolving organizational needs - Create optimized SQL queries and data transformation workflows that convert raw data into actionable dashboards tracking key performance indicators, budget metrics, and operational efficiency - Partner with operations teams, stakeholders, and product managers to gather requirements and present performance insights that improve business outcomes - Innovate new metrics and measurement frameworks that capture effectiveness of emerging initiatives and capabilities - Communicate complex analyses on business trends and operational dynamics to stakeholders through clear documentation and presentations - Collaborate across engineering, data science, and business teams to build centralized data tools Basic Qualifications - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. You'll work directly with business leaders to build analytics frameworks, design KPIs and dashboards, and create AI-powered workflows that help teams make smarter, data-driven choices.
Sr. Business Intelligence Engineer, B2C, Amazon Leo Amazon.com IncSr. Business Intelligence Engineer, B2C, Amazon LeoBellevue, WAThis role requires collaborative autonomy-you will make independent strategic and technical decisions and drive your work forward with minimal oversight, while actively coordinating with cross-functional partners to ensure alignment and shared success. You will design and maintain datasets and pipelines across our B2C tech stack, partnering with Data Engineering and Product teams to ensure complete, accurate, and actionable data across the full customer journey.
Business Intelligence Engineer - SCOT, Fulfillment Optimization, SCOT-FO Amazon.com IncBusiness Intelligence Engineer - SCOT, Fulfillment Optimization, SCOT-FOBellevue, WAThe FO Planning & Forecasting team is seeking a Business Intelligence Engineer (BIE) who combines deep analytical skills with a builder"s mindset - someone who can architect data pipelines, develop automated reporting systems, and apply AI-powered tooling to accelerate insight generation and decision-making at scale. We are part of Amazon"s Supply Chain Optimization Technology (SCOT) Group, which develops systems that optimize inventory placement, transportation, and fulfillment plans across marketplaces worldwide.
Sr Business Intelligence Engineer III, SCOT - Long Term Planning and Forecasting Amazon.com IncSr Business Intelligence Engineer III, SCOT - Long Term Planning and ForecastingBellevue, WALTPF BI Engineers build and maintain analytical tools supporting Topline, Inventory, and Capacity planning, and engage with internal stakeholders and external consumers of LTPF forecasts to ensure they have timely data in the right context to answer key business questions. SCOT LTPF is responsible for long-term forecasting and planning across Topline, Inventory, and Capacity - helping Amazon plan key metrics including ordered units and GMS, inventory units and cost, and FC building capacity and topology (size and location).
Sr. Business Intelligence Engr, NEST Product Engg Amazon.com IncSr. Business Intelligence Engr, NEST Product EnggBellevue, WAA successful candidate will build pipelines and AI powered automation solutions, manipulate large data sets into consumable formats and structure, develop new and and innovative ways of interacting with and interpreting key performance indicators. 4) Lead the definition and governance of key business metrics, drive the vision and building of self-service analytic capabilities, and engineer data-driven processes that drive business value.
Business Intelligence Engineer, FIO Analytics Amazon.com IncBusiness Intelligence Engineer, FIO AnalyticsBellevue, WAFBA organization is looking for a customer focused, analytically and technically skilled business intelligence engineer to support the Inventory Optimization organization"s analytic needs. Partner with product and engineering teams to develop and evaluate Generative AI solutions that enhance analytics capabilities and automate insights generation.
Business Intelligence Engineer II, WFS Product and Analytics Amazon.com IncBusiness Intelligence Engineer II, WFS Product and AnalyticsSeattle, WAThe role offers extensive opportunities to demonstrate key leadership principles including Customer Obsession through candidate centric process improvements, Ownership by taking end-to-end responsibility for analytical deliverables, Dive Deep through comprehensive data analysis, and Deliver Results by providing actionable insights that drive hiring and operational success, whilst ensuring you have the ability to grow, learn and apply the latest tech skills. We provide accurate and timely reporting and analysis for various new processes and initiatives to WFS leadership in order to support data-driven decision-making which drives our business.
Senior Business Intelligence Engineer, Devices Demand Science Optimization Amazon.com IncSenior Business Intelligence Engineer, Devices Demand Science OptimizationSeattle, WADesign and build MCP servers and semantic layers that expose core tables, metrics, and business logic to AI agents, including schema documentation, tool definitions, and retrieval-augmented context. Develop AI-powered automation for recurring business workflows: WBR narratives, flash reports, executive summaries, anomaly callouts, and forecast commentary using LLMs and agentic patterns.
Business Intelligence Engineer, R2L Analytics Amazon.com IncBusiness Intelligence Engineer, R2L AnalyticsBellevue, WAA typical day in this role provides opportunities for building innovative solutions with large-scale data tools, identifying high-priority work and projects that maximize results for key stakeholders, and solving complex problems that impact company-wide strategic decisions. The BI team partners closely with operations teams to influence the strategic direction of the business, drive operational excellence, and make sound investment and expansion decisions, with the primary goal of continuously improving the customer experience while driving long-term profitability for our portfolio of businesses.
Manager III, Business Intelligence, Robotics Delivery and Packaging Innovation Amazon.com IncManager III, Business Intelligence, Robotics Delivery and Packaging InnovationBellevue, WAThe Robotics Delivery and Packaging Innovation team is looking for a business intelligence manager to join our team in building and maintaining end-to-end data and analytics solutions that drive business choices. You will spearhead high visibility projects to design, implement and measure effective solutions for large, complex data spanning many sources and data structures using AWS tools.
Sr Business Intelligence Engineer, Amazon Global Data Center Ops Central Insight and Analytics Team Amazon.com IncSr Business Intelligence Engineer, Amazon Global Data Center Ops Central Insight and Analytics TeamSeattle, WAYou will move our analytics capability beyond reporting what happened to explaining why - identifying which factors drive metric deviation, decomposing performance into attributable components, and building the analytical frameworks that enable operational leaders to take the right action. You will scope analytical problems, build decomposition frameworks, partner with operational leaders to validate findings, and deliver insights that directly influence resource allocation, process design, and investment decisions at the VP level.
Business Intelligence Engineer, Amazon Shipping BI Amazon.com IncBusiness Intelligence Engineer, Amazon Shipping BIBellevue, WAWe have built a highly respected BI and Data Engineering team which is focused on solving complex problems in worldwide transportation using workflows, optimization algorithms, and machine learning systems. Data Management and Integration: Collect, process, and manage large datasets from various sources, ensuring data accuracy, consistency, and accessibility.
Senior Applied Scientist, Leo Satellite Build Intelligence Amazon.com IncSenior Applied Scientist, Leo Satellite Build IntelligenceBellevue, WAWe are looking for a Senior Applied Scientist to lead the development of models that transform fragmented manufacturing, test, quality, and operational data into a unified, closed-loop intelligence system that directly improves how satellites are built. You may start by partnering with Quality, Manufacturing, and engineering teams to define and scope a training dataset for a root-cause prediction model, curating labels from historical cases.
Senior Manager of Data Engineering & Business Intelligence, Alexa Audio Amazon.com IncSenior Manager of Data Engineering & Business Intelligence, Alexa AudioSeattle, WAIn this role, you have the opportunity to: Design and scale the data infrastructure that powers Alexa Audio"s key business metrics across all content types (music, radio, podcasts, audiobooks, generative audio), endpoints, geos, and providers. Enhancement of reporting and analytics capabilities serving Alexa Audio Product Directors, Technical Directors, Product Management, Partner Management, and Central BI/Finance teams.
Applied Scientist III, Sponsored Products Marketplace Intelligence Amazon.com IncApplied Scientist III, Sponsored Products Marketplace IntelligenceSeattle, WAThe Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. This is a unique opportunity for someone who wants to have broad business impact, a direct impact on customers and the search experience, and get broad exposure to a wide range of scientific techniques (machine learning, bandit learning, optimization, LLMs).
Business Intelligence Manager, AWS Infrastructure, S&OP Planning Amazon.com IncBusiness Intelligence Manager, AWS Infrastructure, S&OP PlanningSeattle, WAThis role requires an individual with excellent analytical abilities, deep knowledge of tools and platforms (like SQL, Tableau, Redshift, Glue, Airflow) for developing business intelligence solutions as well as ability to communicate clearly, and collaborate with both business owners and other analytics teams. Hence, the successful BIE will not only possess the expertise and passion for analyzing data, designing metrics to measure the performance of the business, and building reporting capabilities and tools, but also will interact directly with business leaders and teams that rely on the metrics and analyses that they produce.
Senior Business Intelligence Engineer, Infra Supply Chain Automation Amazon.com IncSenior Business Intelligence Engineer, Infra Supply Chain AutomationSeattle, WAThe AWS Analytics and Data Solutions (ADS) team is seeking a Senior Business Intelligence Engineer (BIE) with a combination of superior analytical abilities, business acumen, business judgement, curiosity, technical skills, and written and verbal communication skills to join our team. Hence, the successful BIE will not only possess the expertise and passion for analyzing data, designing metrics to measure the performance of the business, and building reporting capabilities and tools, but also will interact directly with business leaders and teams that rely on the metrics and analyses that they produce.
Sr. Business Intelligence Engineer, AWS GDSP A&I AmazonSr. Business Intelligence Engineer, AWS GDSP A&ISeattle, WAAs a member of this team, you will harness your skills to understand business requirements, create performance metrics, conduct data analysis, provide insights, recommend actions, build analytical models for hypothesis testing, create forecasting models, build self-service dashboards and visualization, drive automation and process improvements, to help the Private Pricing leaders and teams to achieve their goals. USA, MA, Boston - 130,400.00 - 176,300.00 USD annually USA, NY, New York - 143,400.00 - 194,000.00 USD annually USA, TX, Austin - 130,400.00 - 176,300.00 USD annually USA, WA, Seattle - 130,400.00 - 176,300.00 USD annually
Sr Business Intelligence Engineer, FBA Analytics AmazonSr Business Intelligence Engineer, FBA AnalyticsBellevue, WABasic Qualifications - 10+ years of professional or military experience - 5+ years of SQL experience - 1+ years of processing large, multi-dimensional datasets from multiple sources experience - 1+ years of performing statistical analysis 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. Fulfillment by Amazon (FBA) analytics and data science team partners with product team to optimize inbound supply chain by influencing right tradeoffs among cost, speed and network capacity utilization.
Business Intelligence Engineer II, Amazon Freight AmazonBusiness Intelligence Engineer II, Amazon FreightBellevue, WAKey job responsibilities - Generate insightful analysis, reporting, and data visualizations to answer critical business questions, proactively identify notable trends, and communicate business performance - Translate data into actionable insights for stakeholders while proactively identifying new areas of opportunity to drive further improvements - Apply expertise in data mining and modeling leveraging multiple data sources to uncover unique insights, identify key performance drivers, and build predictive models - Work backwards from your end-customer to define, design, and execute each work item with an emphasis on improved metrics, productivity, and efficiency - Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation Basic Qualifications - Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Experience in Statistical Analysis packages such as R, SAS and Matlab Preferred Qualifications - Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field - 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
Sr Business Intelligence Engineer, AWS GDSP A&I AmazonSr Business Intelligence Engineer, AWS GDSP A&ISeattle, WAAs a member of this team, you will harness your skills to understand business requirements, create performance metrics, conduct data analysis, provide insights, recommend actions, build analytical models for hypothesis testing, create forecasting models, build self-service dashboards and visualization, drive automation and process improvements, to help the Private Pricing leaders and teams to achieve their goals. USA, MA, Boston - 130,400.00 - 176,300.00 USD annually USA, NY, New York - 143,400.00 - 194,000.00 USD annually USA, TX, Austin - 130,400.00 - 176,300.00 USD annually USA, WA, Seattle - 130,400.00 - 176,300.00 USD annually
Business Intelligence Engineer , Prime Video Personalization and Discovery AmazonBusiness Intelligence Engineer , Prime Video Personalization and DiscoverySeattle, WAWe're looking for a passionate Business Intelligence Engineer who will help leverage meaningful insights that directly influence how viewers interact with one of the world's largest streaming platforms. If you're excited about creating personalized entertainment experiences and using data to tell compelling stories that drive product innovation, this role offers you the perfect stage to make your mark.
Business Intelligence Engineer, Ad Sales Finance Analytics AmazonBusiness Intelligence Engineer, Ad Sales Finance AnalyticsSEATTLE, WAAs part of the team, you will collaborate across functions to solve complex problems such as handling massive data volumes, evolving product hierarchies, and aligning multiple upstream and downstream systems-directly impacting how Ads revenue is tracked, forecasted, and managed at scale. Key job responsibilities Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions - Own the forecasting model for IX countries and enhance the existing model to align with sales calls while minimizing forecasting errors.
Data Engineer II, Intelligence Data Services, Amazon Leo AmazonData Engineer II, Intelligence Data Services, Amazon LeoBellevue, WABasic Qualifications - 3+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS Preferred Qualifications - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) - Experience in automating, deploying, and supporting infrastructure - Experience building or managing data infrastructure, using Infrastructure as Code (CDK or Terraform)? Working closely with cross-functional teams across hardware, software, supply chain, manufacturing, launch, facilities, finance, compliance, and HR, you'll implement sophisticated data architectures and self-service tooling to support various analytics use cases including business reporting, production pipelines, optimization models, statistical analysis, and simulations.
Senior Technical Program Manager, Data Intelligence and Governance AmazonSenior Technical Program Manager, Data Intelligence and GovernanceSeattle, WACharacteristics that will make this candidate effective include demonstrated abilities to: [1] dive deep into complex problem spaces while maintaining focus on the larger strategic objectives, [2] build trust and negotiate mutually beneficial outcomes with partners through transparency and delivery on commitments, and [3] communicate with clarity and candor to distill complex topics into simple terms while practicing respect for diverse ideas. Key job responsibilities - You will partner with security and engineering leaders across Amazon business and security teams to work backwards from customer security outcomes, design initiatives to achieve those outcomes, and drive delivery against those commitments.
Senior Language Engineer, Artificial General Intelligence - Data Services AmazonSenior Language Engineer, Artificial General Intelligence - Data ServicesBellevue, WAKey job responsibilities - Define and lead the organization's data creation strategies for our science partners - Design and lead complex data collections with human participants in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final deliverables - Design and conduct complex data creation tasks using synthetic and model-based data generation methods, following state-of-the-art approaches - Analyze and extract insights from large amounts of data - Build tools or tool prototypes for data analysis or data creation, using Python or another scripting language - Use modeling tools to bootstrap or test new AI functionalities - Collaborate with scientists, software engineers, and other data creators to evaluate performance of AI models About the team Amazon strives to be the world's most customer-centric company, where customers can research and purchase anything they might want online or offline. Basic Qualifications - Master's degree in a relevant field (Computational Linguistics or equivalent field with computational analysis) Preferred Qualifications - PhD in Computational Linguistics (or equivalent field with computational emphasis) - 5+ years of experience creating AI datasets for complex and quickly evolving requirements using a range of approaches: model-based, human in the loop, synthetic/code-based, etc.