Business Intelligence

Amazon's Seller Growth Programs organization is seeking an exceptional Business Analyst to drive analysis and insights to help our teams make meaningful business decisions. 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.Key job responsibilities• Produce written recommendations and insights for key stakeholders that will help shape effective strategies.• Work with organizations vending data and recommendations to sellers with Amazon and drive governance initiatives for keeping seller trust and providing consistent experience• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions• Simplify and automate reporting, audits, and other data activities; build solutions to have maximum scale and self-service ability by stakeholders.• Solve complex and broad business problems with analytically derived solutions, applying appropriate analytical best practices.• Develop programs, methodologies, and reports for analyzing and presenting data.• Effectively collaborate in a fast-paced environment with multiple teams in a large organization.About the teamThe Seller Growth Programs team is a new and growing business-tech team, focused on accelerating the growth of businesses in our global stores through new opportunities to attract and optimize valuable selection, build long-lasting relationships with Amazon, and enhance the Buying Customer experience. Come join us as we define the future of Selling Partner growth in our stores.BASIC QUALIFICATIONS- 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 SQL ...

Do you have a desire to make a major contribution to the future in the rapid growth environment of Cloud Computing? Amazon Web Services is looking for a Sr Business Intelligence Engineer to help build a scalable, predictive, and prescriptive business analytics platform that supports the AWS Infrastructure Supply Chain Finance (SCF) organization. You will be part of the Finance Analytics team working with Business Analysts and Data Engineers to achieve our goals.You will have a passion to dive deep, a high level of customer focus and a track record in process improvement. This role requires an individual with excellent analytical abilities, strong knowledge of business intelligence solutions and the ability to work with Finance, quantitative and business teams. You will lead multiple automation and controllership initiatives across the Finance org. You will be primarily using but not limited to AWS solution stacks like Redshift, S3, Glue, Lambda, Data pipeline and reporting tools such as Tableau and Alteryx/KNIME to implement BI solutions.Key job responsibilities Develop and implement scalable and reliable analytics, tools, KPI dashboards, and metrics that drive key supply chain, financial, and procurement decisions. Design and implement metrics dashboards to deepen understanding of cost structures, capital spend, and variances highlighting opportunities for improvement. Collaborate with Finance, Tax, Supply Chain, Procurement, and Engineering to capture requirements and deliver analytics solutions. Develop and implement analytics to continually improve continuity of supply and operational efficiencies. Apply automation so that with every iteration on a problem, you build your solution to have maximum scale and self-service ability by stakeholders. Understand a broad range of Amazon’s data resources and know how, when, and which to use and which not to use. Recognize and use advanced analytical techniques to recommend prescribed/ optimized courses of action to users. Interface with Data Engineers, Business Analysts and stakeholders to deliver complete BI solutions. Employ data mining, segmentation, and other analytical techniques to capture important trends in the supply chain, cost, and customer base. Participate in strategic and tactical planning discussions to interface with business customers, gathering requirements and delivering complete reporting solutions.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 ...

As a Business Intelligence Engineer, you get a lot done. You work very efficiently and routinely deliver the right things. You have a department-wide view of the analytical solutions that you build, and you consistently think in terms of automating or expanding the results company-wide. You have performed multiple complex, and business critical analyses that serve major parts of the business. Your work and your approach to work are exemplary – you drive best practices and set standards for your team. Other analytical individuals in your department regard you as an expert in one or more analytical areas.You show strong analysis making technical trade-offs between your group’s short term and long term business needs, and the needs of the company as a whole. When confronted with discordant views, you find the best way forward and convince your team. You are vocally self-critical. You proactively contribute to knowledge-sharing across the Amazon analytical community. You demonstrate resilience and navigate difficult situations with composure and tact. Amazon has a culture of data-driven decision-making, and demands business intelligence that is timely, accurate, and actionable. Our environment is very fast-paced, and requires someone who is flexible, detail-oriented, passionate about the customer and comfortable working with numerous stakeholders across the organization and worldwide. We are looking for a Business Intelligence Engineer to help us extract meaning from large volumes of data to make the right business decisions. The candidate will have to set the right vision, strategy and roadmap and work alongside with stakeholders in the organization to make it happen. The candidate knows and loves working with business intelligence tools, can model multidimensional datasets, and can partner effectively with business leaders to answer key business questions. You are analytical and creative, and you don’t quit. Primary Responsibilities · Engage with leadership and diversified customer groups to understand the needs and recommend business intelligence solutions. · Partner with Data engineering team to define the data elements and data structure that the team should leverage to enable analytical capabilities. · Design, implement, and support platforms that provide business teams ad-hoc access to large datasets (eg data visualization tools for non-tech business users) · Interface with business customers, gathering requirements and delivering complete reporting solutions. · Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. · Participate in strategic & tactical planning discussions. · Standardize data and report consumption across all customer groups. · Make recommendations for new metrics, techniques, and strategies to improve the operational and quality metrics. · Be connected and influential within the Amazon analyst community. Work with Data engineering, Software development teams to enable the appropriate capture and storage of key data points. BASIC QUALIFICATIONS- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)- Experience with scripting language (e.g., Python, Java, or R) ...

Come build the future of entertainment with us! Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching?Prime Video Global Operations (PVGO) is a team that relentlessly works with partners and is responsible for ingesting content using both partner facing and internal technologies. We obsess over ensuring that every search, discovery and playback interaction with Prime Video is device agnostic, defect free and results in a high engagement experience for Customers. We collaborate with stakeholders across Prime Video to define, refine and uphold Prime Video’s Customer experience, Quality bar and metrics. PVGO plays an essential role at Prime Video, ensuring that the content that powers our vision to be the premier source of global entertainment, is complete and correct.We are a group of entertainment enthusiasts based out of USA, Japan, India, Spain, and Costa Rica; passionate about ensuring all our customers around the globe have access to the content they need, when they need it. We work closely with industry professionals, program and technology teams to ensure world-class coverage of key entertainment content, and proactively address content gaps before our customers notice them. We are looking for an analytical and results-oriented Business Analyst to help shape the future of Prime Video Global Operations. This is an exciting time to join, as we scale our coverage of international content, while maintaining a high bar for timeliness and quality.As a Business Analyst, you will help develop analytic solutions to drive deep dives, provide insights into operational health, and develop key KPI's from scratch. You will transform data into actionable business information, and will make it readily accessible to stakeholders worldwide. You will own creation and management of large datasets, reports, dashboards and data pipelines. You will interact with internal program, product owners and technical teams to gather requirements, structure scalable and data-oriented solutions, and gain a deep understanding of key datasets. You will design, implement and drive adoption of new analytic technologies and solutions and promote industry standard best practices. You will be responsible to tune query performance against large and complex data sets. You will help translate analytics insights into concrete, actionable recommendations for business or product improvement. If this sounds exciting to you, please read on.Key job responsibilities- Work on data management processes such as accessing raw data feeds, building queries and macros, writing VBA code, organizing data and designing reports that present status-at-a-glance visualization for business performance.- Retrieve and analyze large sets of data using Excel, SQL, and other data management systems.- Design and implement reporting solutions to enable stakeholders to manage the business and make effective decisions.- Take ownership of reporting processes to ensure that each report is accurate and timely with a high degree of customer focus in resolving data discrepancies.- Build and managing related key performance indicators (KPI's) to measure, control, and benchmark reporting processes.- Monitor existent metrics, building new metrics, and partnering 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.BASIC QUALIFICATIONS- 2+ years of business analyst, data analyst or similar role experience- 2+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- 2+ years of business or financial analysis experience- 2+ years of Excel or Tableau (data manipulation, macros, charts and pivot tables) experience- Intermediate skills using SQL- Experience making business recommendations and influencing stakeholders- Bachelor's degree or 4+ years of relevant professional experience ...

Amazon's Selling Partner Trust & Store Integrity organization is seeking an exceptional Business Analyst to drive analysis and insights to help our teams make meaningful business decisions. 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 Selling Partner Trust & Store Integrity organization.Key job responsibilities• Produce written recommendations and insights for key stakeholders that will help shape effective strategies.• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions• Simplify and automate reporting, audits, and other data activities; build solutions to have maximum scale and self-service ability by stakeholders.• Solve complex and broad business problems with analytically derived solutions, applying appropriate analytical best practices.• Develop programs, methodologies, and reports for analyzing and presenting data.• Deep Dive data problems and offer scalable solutions.• Effectively collaborate in a fast-paced environment with multiple teams in a large organization.A day in the lifeWe operate on a weekly sprint to set priorities and deliverables. This allows us to be agile on emerging issues, but we maintain longer-term, larger projects with extended timelines as well. In any given day, you may be asked to pull some high level results, examine some existing legacy SQL to improve, design or update a quicksight dashboard, assisting with code reviews, and/or deconstructing an anecdote in data.About the teamSelling Partner Trust & Store Integrity's mission is to protect Customers, Selling Partners, Brands and Amazon’s businesses. We achieve this by proactively: (1) Ensuring robust vetting of a seller’s identity, location, and payment instruments and stopping bad actors from launching a new selling account, (2) Stopping bad actors from compromising existing selling accounts, (3) Stopping bad actors attempts to engage in financial fraud, (4) Preventing bad actors from driving sales through rank or reviews manipulation, and (5) Eliminating financial incentives for bad actors. We continue to scale Amazon’s businesses while protecting Buyers, Brands and Selling Partners while adhering to regulatory expectations.BASIC QUALIFICATIONS- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- 3+ years of business or financial analysis experience- Bachelor's degree or equivalent- Experience defining requirements and using data and metrics to draw business insights- Experience with Excel- Experience with SQL- Experience making business recommendations and influencing stakeholders ...

Do you want to join a new team forging innovative ways to enhance customer experience? Do you have a passion for customer experience and a mindset for data-driven problem solving? Amazon turned the transportation industry on its head by offering 363 day-a-year delivery, what will we do next? NASC ACES is looking for a talented Business Analyst who will own analytics, reporting frameworks, and data visualizations from ground zero. Development of analytics will directly impact leadership decision making and optimization for driving risk mitigation improvements. As a member of this team, you will have an opportunity to be a thought leader in Amazon Sort Centers and work with a group of talented Program Managers, Operations teams, and business leaders to design the Amazon network of the future. We are focused on your success and want to build strong leaders within Amazon Transportation Services. You can expect to leverage your analytical skills and have full ownership of the projects you manage.Key job responsibilities - Perform complex data analysis to identify opportunities to reduce fulfillment costs as well as improve efficiencies and customer experience - Design, develop and establish KPIs to monitor analysis and provide strategic insights to drive growth and performance - Ability to perform/own reoccurring and ad-hoc business intelligence projects - Develop standardized metrics to evaluate and benchmark pertaining to short and long term network planning and forecasting - Communicate complex analysis and insights to stakeholders and business leaders, both verbally and in writingBASIC QUALIFICATIONS- 1+ years of tax, finance or a related analytical field experience- 2+ years of complex Excel VBA macros writing experience- Bachelor's degree or equivalent- Experience defining requirements and using data and metrics to draw business insights- Experience with SQL or ETL ...

Do you have a passion for customer experience and a mindset for data-driven problem solving? Do you want to be part of a team forging new ways to experience Amazon deliveries? We turned the transportation industry on its head by offering 363 day-a-year delivery, what will we do next? Middle Mile Performance Management (MMPM) is looking for a talented Business Analyst who will own analytics and develop solutions to drive insights and optimization for driving Carrier Performance improvements. As a member of this team, you will have an opportunity to be a thought leader in Middle Mile by working with a group of talented program managers, product managers, operations, and business leaders to design the Amazon network of the future. This position requires superior analytical thinking, ability to quickly approach large ambiguous problems and apply analytics, technical and engineering expertise to rapidly analyze, validate, visualize, prototype and deliver solutions. This position also requires significant cross functional activity and integration with transportation, tech, operations and finance. Successful candidates must thrive in a fast paced environment. Business Analysts are responsible for converting data into actionable business insights. They are analysis experts who leverage a variety of data platforms and analytical tools to provide timely, meaningful, and consumable information. They build deep contextual and domain knowledge. They ensure data quality and build scalable tools. They communicate findings with the most effective and influential methods. Amazon is seeking an exemplary Business Analyst with broad technical skills to develop data visualizations and build automation solutions that drive business decision making and process improvement. The person in this role will draw upon advanced analytical, problem solving skills, and passion for delivering business insights and analytics. The complexity of research and skills for a Business Analyst is well beyond basic data entry and extraction. It involves design and development of automated data pipelines, sophisticated analytical modeling and intuitive data visualization. This role will directly be responsible for maintaining front end code using Python, SQL, HTML, Java, and R, or other similar coding languages. Proficiency in the aforementioned languages is not required, but preferred. This role will have high level visibility due to the nature of the toolsets being maintained, built, and the network impact of analysis conducted. This role has great exposure to a broad scope that can really help shape the future of operational fulfillment and promotes career progression.Key job responsibilities- Provide data management processes such as accessing raw data feeds, building queries and macros, writing VBA code, organizing data and designing reports that present status-at-a-glance visualization for business performance.- Retrieve and analyze large sets of data using Excel, SQL, and other data management systems.- Design and implement reporting solutions to enable stakeholders to manage the business and make effective decisions.- Take ownership of reporting processes to ensure that each report is accurate and timely with a high degree of customer focus in resolving data discrepancies.- Build and manage related key performance indicators (KPIs) to measure, control, and benchmark reporting processes.- Monitor existent metrics, build new metrics, and partner with internal teams to identify process and system improvement opportunities.- Support cross-functional teams on the day-to-day execution of the existent program implementation.- Generate complex queries to dive deep on process issues- Innovate to improve customer experienceBASIC QUALIFICATIONS- 5+ years of business analyst, data analyst or similar role experience- 5+ years of Excel or Tableau (data manipulation, macros, charts and pivot tables) experience- Bachelor's degree or equivalent- Experience with SQL ...

At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. Amazon is seeking a Business Analyst to drive large scale projects, programs, and technical initiatives. In this role, you will be responsible for converting data into actionable business insights. The ideal candidate is an analysis expert who leverages a variety of data platforms and analytical tools to provide timely, meaningful, and consumable information. They build deep contextual and domain knowledge, and ensure data quality and build scalable tools. They communicate findings with the most effective and influential methods.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. 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 will help shape the future of the business. Key job responsibilities- Own the development and maintenance of new and existing solution artifacts which are focused on driving efficiency within the business via analysis, metrics, and reporting dashboards.- Partner with operations/business teams to consult, develop and implement KPI’s, automated reporting/process solutions, and process improvements to meet business needs.- Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format.- Prepare and deliver business requirements reviews to the senior management team regarding progress and roadblocks.- Participate in strategic and tactical planning discussions.- Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support our business needs.A day in the lifeAs a Business Analyst, you will own the design, creation, and management of extremely large datasets. From Day 1, you will be challenged with a variety of tasks, ranging from creating datasets, reports, dashboards to metadata modeling, pipeline monitoring. You will interact with internal program and product owners, and technical teams to gather requirements, structure scalable and perform data solutions. You will be responsible to tune query performance against large and complex data sets. You will help translate analytic insights into concrete, actionable recommendations for business or product improvement.About the teamHere at Selling Partner Services, we embrace our differences. We are committed to furthering our culture of inclusion. We have 14 employee-led affinity groups, reaching 10,000+ employees in chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our DEI Ambassador Program. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.BASIC QUALIFICATIONS- 1+ years of tax, finance or a related analytical field experience- 3+ 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 ...

The Supply Chain S&OP team is looking for a Senior Business Intelligence Engineer. You will contribute to defining and building inventory placement success metrics, and finding ways to reduce distance to customers by placing the right items in the right Amazon building in order to increase delivery speed and reduce costs. You will chase defects in our systems, leaving no stone unturned to delight our customers with wider selection. This role will give you a unique view on Amazon systems, process and operations, interacting with planning teams, fulfillment centers and worldwide technical teams. If you are someone who has shown success in analyzing, diving deep in complex data, streamlining and identifying process improvement opportunities and pioneering new ways to do things, we’d like to talk to you. Key job responsibilitiesYou will lead critical performance management initiatives for inventory placement leveraging complex data management/visualization and presenting those to different levels within the company:- Design and own the right set of metrics measuring inventory placement performance- Recommend improvements to the placement strategy using modelling and large datasets. You'll guide planning teams and other relevant stakeholders with regards to the mix of products to place in Amazon buildings, maximizing selection and reducing distance to customers and spinning the Amazon flywheel!- Pioneer new ideas to increase speed and reduce delivery cost to customers- Pilot and implement your recommendation in production through smart configurations in Amazon systems- Develop the analytics required to visualize opportunities and measure progresses- Partner with worldwide technical teams to develop new featuresBASIC QUALIFICATIONS- 10+ years of professional or military experience- 5+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience with theory and practice of design of experiments and statistical analysis of results- Experience with AWS technologies- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with theory and practice of information retrieval, data science, machine learning and data mining ...

The Supply Chain S&OP team is looking for a Senior Business Intelligence Engineer. You will contribute to defining and building inventory placement success metrics, and finding ways to reduce distance to customers by placing the right items in the right Amazon building in order to increase delivery speed and reduce costs. You will chase defects in our systems, leaving no stone unturned to delight our customers with wider selection. This role will give you a unique view on Amazon systems, process and operations, interacting with planning teams, fulfillment centers and worldwide technical teams. If you are someone who has shown success in analyzing, diving deep in complex data, streamlining and identifying process improvement opportunities and pioneering new ways to do things, we’d like to talk to you. Key job responsibilitiesYou will lead critical performance management initiatives for inventory placement leveraging complex data management/visualization and presenting those to different levels within the company:- Design and own the right set of metrics measuring inventory placement performance- Recommend improvements to the placement strategy using modelling and large datasets. You'll guide planning teams and other relevant stakeholders with regards to the mix of products to place in Amazon buildings, maximizing selection and reducing distance to customers and spinning the Amazon flywheel!- Pioneer new ideas to increase speed and reduce delivery cost to customers- Pilot and implement your recommendation in production through smart configurations in Amazon systems- Develop the analytics required to visualize opportunities and measure progresses- Partner with worldwide technical teams to develop new featuresBASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

CMS Data Platform team’s mission is to empower Case Management tenants to make data driven decisions and derive insights.Join us as a part of the talented Paragon Analytics Team of in the SPX Org and become a contributing member of a team that is redefining the future of support and experience across multiple tenants. With access to vast amounts of data, cutting-edge technology, and a diverse team of talented individuals, you will have the opportunity to make a meaningful impact on defining how customers engage with our product and work alongside of the product team to make a measurable impact. Together, we will drive innovation, solve complex problems, and shape the future of e-commerce.As a BIE II, you will help develop an insightful platform provide insights from Paragon as a product, influence the product roadmap and contribute to the “CMS Insights Suite” of actionable datasets and metrics that support tenants covering both retrospective and near real time reporting use cases.The BIE II will collaborate with the product and tech teams across Paragon and it's partners teams to gather requirements, structure scalable and performant data solutions, and gain a deep understanding of key datasets. A successful candidate will be highly driven, self starter and should have passion for data. The candidates is expected to be expert with SQL with working knowledge of Python and continually seek opportunities to inject advanced analytical,(statistics and science) based techniques.Key job responsibilitiesHere are key job responsibilities for a Business Intelligence Engineer role:BI and Data Analytics- Lead complex data analysis projects to identify opportunities for improvement and optimization across the organization- Develop and implement innovative BI solutions to create insights into the product capabilities and performance as well as drive optimal operational efficiencies by gathering data from various sources.Technology Integration and Optimization:- Optimize the performance, scalability, and reliability of the organization's data infrastructure and reporting systems- Engage in measuring data quality, A/B testing launching and managing metric catalog and curated data data layer- Ensure the integrity, security, and governance of the organization's data assetsStakeholder Engagement and Reporting:- Communicate data-driven insights and recommendations to the stakeholders - Collaborate cross-functionally with teams across Paragon to drive strategic goals through data driven decision makingTeam Development and Mentorship:- Mentor and guide junior team members in the application of advanced data analysis, business intelligence, and process improvement methodologies- Foster a culture of continuous learning and process improvement within the teamBASIC QUALIFICATIONS- 4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience with data visualization using Tableau, Quicksight, or similar tools- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets- 4+ years of experience in Data/BI space ...

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.We are looking for a talented Data Engineer to join the Manufacturing Operations, Transportation Operations, and Reverse (MOTOR) organization in support of our Supply Chain Intelligence team. MOTOR manages the manufacturing of datacenter racks and the movement of racks/parts through the supply chain, consisting of transportation, warehousing, and reverse logistics into and out of the data centers. This role performs helps connect the different systems across the supply chain together so operational teams have clean, actionable data to work with. This requires someone with strong analytic skills and business acumen who can work with stakeholders on strategic projects across MOTOR. The ideal candidate relishes working with large volumes of data, enjoys the challenge of highly complex technical contexts, and, above all else, is passionate about data and analytics. Must be an expert working with data modeling with un/structured data, ingestion pipelines and ETL design and business intelligence tools with the business to identify strategic opportunities where improvements in data infrastructure creates out-sized business impact. Candidate is a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail), mentors other engineers in team on high quality tech, and enjoys working in a fast-paced team. Candidate will have a chance to architect the data pipelines needed for optimization and predictive analysis. We're excited to talk to those up to the challenge!Key job responsibilities- Build and maintain the infrastructure to answer questions with data, using software engineering best practices, data management fundamentals, data storage principles, recent advances in distributed systems, and operational excellence best practices. Build datasets that analysts and scientists use to generate actionable insights.- Define the data engineering processes that leverage various AWS services to improve accessibility, redundancy, data integrity, cost, and storage requirements.- Develop high quality solutions for the faster development of the products/models that solve the business needs in a scalable format, while also anticipating future requirements.- Collaborate with Research/Applied Scientists, Data Engineers, Business Intelligence Engineers, Data Scientists, Business Analysts, and Product/Program Managers to understand the business and technical requirements, and make decisions that help make the products/programs smoother. - Interface with other technology/data engineering teams to extract, transform, and load data from a wide variety of data sources using and AWS data technologies.- Lead the technical design and implementation of the data infrastructure.- Design and manage data audit, quality, and reconciliation processes in collaboration with various stakeholders.About the team*Why AWS*Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.*Diverse Experiences*Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.*Work/Life Balance*We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why 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 Culture*Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.*Mentorship and Career Growth*We’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.This team provides data engineering and business intelligence engineering services to the rest of MOTOR. We are the data experts behind the scenes helping the operational teams focus on operations by ensuring they have accurate, timely data and provide business insights to help improve operational excellence.BASIC QUALIFICATIONS- 1+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)- Experience with one or more scripting language (e.g., Python, KornShell) ...

Prime Video is changing the way people watch movies and TV shows, with millions of titles available on-demand on Kindle, Fire TV, mobile devices, game consoles, Internet-connected TVs, and Blu-ray players. Are you excited about launching content on Prime Video and holding key impact on helping our business scale? Prime Video Trust & Safety programs aim to enable a globally trusted customer experience by ensuring that Prime Video (PV) provides content customers love and trust and accurate, meaningful and complete information to empowering customers to make informed viewing choices for themselves and their children.We are looking for a results-oriented individual to support Prime Video Trust & Safety risk planning and analysis for global customer trust and regulatory initiatives. You will manage a global team and partner with diverse stakeholders (Policy, Program, Legal, Tech, Science, Product) to mitigate large-scale business risks and drive key business insights. You will be responsible for running large-scale analyses and building metrics/KPIs to scale the Trust & Safety business, while proactively identifying defects and simplifying manual processes. If you love being at the forefront of industry growth and development, developing and executing processes in a highly ambiguous environment, identifying information gaps and collaboration needs, and driving business strategy, then this is the spot for you. This is a high impact role offering an opportunity to drive and influence business-critical decisions impacting the long-term future of Trust & Safety.Key job responsibilities- Manages a global team of analysts to proactively address emerging business risks. - Develop and communicate comprehensive KPIs/metrics, business risks, and data limitations.- Leverage reports and analytics to make recommendations in line with business strategy and goals.- Partner and collaborate with business partners and stakeholders to drive strategic projects.- Identify system and process improvement opportunities which will directly influence customer trust, regulatory compliance, and operational efficiency. - Manage and coordinate change management initiatives.- Participates in recruitment and selection activities including role modeling through hiring decisions and processes.- Manages performance and behavior of direct reports through effective 1:1 meetings, coaching and mentorship.- Maintains a positive and professional demeanor always portraying the site and company in a positive light and effectively managing sensitive issues.- Demonstrates excellent time-management skills and the ability to work independently while using departmental resources, policies and procedures.A successful candidate will need to:- Communicate ideas and business risk concisely to a wide variety of stakeholders for purposes ranging from informative to need for approvals from executives.- Embody a true pioneering spirit, willing to “get hands dirty” in a start-up environment while simultaneously developing processes, automation, and delivering results.- Clearly define data requirements and metrics, working with teams to implement the entire data flow from capture to presentation and management.- High attention to detail and proven ability to manage multiple, competing priorities simultaneously particularly during escalations and high-visibility events.- Keen on developing and training people to improve skills and capabilities for sustainable and continuous improvement.BASIC QUALIFICATIONS- 5+ years of direct experience in quantitative research or analysis- 3+ years in program & project management- 3+ years building forecasting and/or planning models in Excel or other more advanced tools- Direct supervisory and people management experience ...

How often have you had an opportunity to be a member of a team that is tasked with solving 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 on the Amazon Defect Elimination Analytics team. This team drives Amazon towards a defect-free customer experience by building technology that rapidly identifies defects, associates them with the information required to resolve the root cause, and prioritizes the multitude of improvement opportunities based on business and customer needs. To continue expanding our defect elimination program, we seek a passionate, results-oriented, Business Intelligence Engineer (BIE).The Business Intelligence Engineer will partner with Software Developers, Data Engineers, Research Scientists, Program & Product Managers to provide insights on customer feedback, create key performance indicators for our products, and assist in feature engineering and model development. The ideal candidate has strong business judgment, organization skills, backbone, experience measuring product performance, and collaborates well with with product owners to answer key questions. The operating environment is fast paced and dynamic, however has a strong team spirited and welcoming culture. To thrive, you must be detail oriented, enthusiastic and flexible, in return you will gain tremendous experience with the latest in big data technologies as well as exposure to statistical and Natural Language modeling through collaboration with scientist on global issue detection models and development. Key job responsibilities - Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. - Partner with operations/business teams/economist/ML teams to consult, develop and implement 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- 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- Bachelor's Degree ...

Project Kuiper is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Project Kuiper will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity.The Sr. Business Intelligence Engineer, Kuiper Marketing, will bring a mixture of advanced data management, analysis, modeling, and dashboarding skills. The ideal candidate will use data-driven methods to answer business questions and play a key role in the development of our marketing measurement infrastructure. The right person in this role will be able to deal with ambiguity and take the lead in defining frameworks where no prior examples exist. They will be an ambitious self-starter with the ability to operate independently and thrive in a fast-paced environment. Demonstrated ability and willingness to roll up sleeves and execute to get the job done will be key to success in the role. Key job responsibilities- Create and maintain complex queries and data pipelines.- Extract data for analysis and model development from large, complex datasets to address business questions.- Develop dashboards and visualizations that incorporate decision science to inform business decision-making.- Partner on the development of marketing measurement models and bring to production.- Apply advanced analytics to evaluate the causal impact of marketing on customer attitudes and behaviors.- Collaborate effectively with business partners and team members to align data business intelligence efforts with strategic goals.Export Control Requirement:Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.BASIC QUALIFICATIONS- 5+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with data visualization using Tableau, Quicksight, or similar tools ...

Overview of roleBusiness Data Analytics is a critical function at eero, reporting to the Head of Business Operations. This technical role, which falls under the Business Intelligence Engineering job family, will be responsible for analyzing large sets of business data and building automated dashboards and reporting. They will work closely with the Sales, Marketing, Finance, BI, Manufacturing, and several other Operations teams to develop robust end-to-end analytical workflows and data-informed analyses, ultimately supporting successful business growth, operational efficiency, and sales acceleration. As a Senior Business Intelligence Engineer, you will be responsible for architecting scalable, best-in-class business intelligence solutions and processes. This is a highly visible role in which you will have a high degree of autonomy, and outsized impact.We’re looking for someone who:- Is both technically excellent in SQL, as well as strategically sound so they an partner the business teams well - Has extensive experience working directly with business teams, and most specifically, go-to-market (GTM) teams, such as Sales, Marketing and Partner Success - Is highly analytical and process-driven, can assist with strategic planning, drive decisions forward, execute on high-impact projects, and lead through influence. - Understands numbers intuitively: if the numbers don’t add up, you spot it first. If you find yourself or others repeating work, you automate it. - Demonstrates ability to think strategically and analytically about business, product, and operational challenges. - Has experience managing stakeholders at all levels. - Enjoys rolling up their sleeves in a fast paced startup environment and getting things done. - Is able to work cross-functionally with many teams and multi-tasks with a sense of urgency. - Has an uncanny ability to embrace ambiguity and see around the corners. - Has impeccable attention to detail, follow-through, and resourcefulness.Key job responsibilitiesWhat you will do:- Analyze large business and sales data sets to identify patterns, understand drivers, and generate insights to accelerate sales and drive operational efficiencies- Write queries to extract data and insights combining datasets within eero with Amazon datasets and or/publicly available datasets- Design, build, and maintain automated reporting, dashboards, and produce value-added data analyses to enable executive decision making or a change in the status quo: our business generates a lot of data and only so much can be analyzed effectively to drive decision making. As you get to know the business from multiple perspectives, you'll be responsible for proactively bringing together data insights and crafting data-informed stories. - Build the Business Intelligence roadmap: you will spot the highest priority business intelligence initiatives and improvement areas, and plan to address those in the short, medium and long term- Enable data access, literacy and self-sufficiency: As you work with various teams at eero, you will gather a sense of their business and data-related needs, and craft scalable solutions to address them. You will automate manual data collection and manipulation traditionally done in Excel, and create robust data marts where stakeholders can easily generate business insights.- Work closely with our Finance and BI teams on consolidating key data sources in one place, building the foundation to enable efficient data analysis across several business teams. - Drive weekly, monthly, and quarterly business reporting to leadership across eero and Amazon: you will be the hub for business data and communication, and act as the primary point of contact for key business data for some of eero’s largest sales channels. - Leverage Amazon systems and tools to effectively work with, process, and analyze large datasets- Deliver comprehensive, written strategy documents considering different types of data and inputs across a broad range of stakeholdersBASIC QUALIFICATIONS- 5+ years of SQL experience- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with AWS technologies- Knowledge of data warehousing and data modeling ...

As a Senior Business Analyst of the worldwide Registration & Verification team, you will be responsible for driving insights into what makes sellers successful in the global ecosystem, and partnering with the product team to launch features at registration to help sellers be successful. The ideal analyst should have proven experience in business analysis and product development; should be able to work across teams and should be able to lead leadership reviews. Our ideal candidate is a self-starter, comfortable working through ambiguity, conceptualizing and leading complex initiatives from end to end, and has an entrepreneurial spirit. In addition to collaborating with many stakeholders internally and externally, this role requires working through ambiguity, demonstrating good judgment under pressure and adaptability to thrive in a fast-paced, dynamic environment.Key job responsibilitiesAs a Senior Business Analyst of the worldwide Registration & Verification team, you will be responsible for driving insights into what makes sellers successful in the global ecosystem, and partnering with the product team to launch features at registration to help sellers be successful. The ideal analyst should have proven experience in business analysis and product development; should be able to work across teams and should be able to lead leadership reviews. Our ideal candidate is a self-starter, comfortable working through ambiguity, conceptualizing and leading complex initiatives from end to end, and has an entrepreneurial spirit. In addition to collaborating with many stakeholders internally and externally, this role requires working through ambiguity, demonstrating good judgment under pressure and adaptability to thrive in a fast-paced, dynamic environment. A day in the lifeDevelop a deep understanding of Registration and Verification team's data sources and know exactly how, when, and which data to use to solve particular business problems using SQL.Design, build and automate SQL reporting and dashboards and AI topics to scale and support business needsWork with stakeholders to gather data and metrics requirements and drive analytics projects to help solve complex challenges.Design, implement, and support key datasets that provide structured and timely access to actionable business/product information.Identify, develop, manage, and execute analyses to uncover areas of opportunity and present recommendations that will shape the future of the registration and identity verificationProactively identify problems and opportunities and perform root cause analysis/diagnosis leading to significant business impact.Develop performance dashboards that encompass key metrics to be reviewed with senior leadership.Manage numerous requests concurrently and strategically, prioritizing when necessary.About the teamHere at Selling Partner Services, we embrace our differences. We are committed to furthering our culture of inclusion. We have 14 employee-led affinity groups, reaching 10,000+ employees in chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our DEI Ambassador Program. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship.BASIC QUALIFICATIONS- 8+ years of business or financial analysis, product costing, procurement, or a quantitative role experience- 8+ years of writing SQL queries and creating business intelligence reports using Tableau, Power BI experience- Bachelor's degree- Experience defining requirements and using data and metrics to draw business insights- Experience with Excel- Experience with SQL- Experience making business recommendations and influencing stakeholders- strong understanding of statistics and its application in business/product setting. ...

Are you passionate to help Sellers build stronger brands that Customers love? Are you passionate about using data to help shape roadmaps that enable brands to stand out to customers? If you like taking bold bets, working in an ambiguous space, and delivering new innovations that help brands on Amazon, this is the job for you!The Brand Building team is looking for an experienced Business Analyst who will lead the identification, correlation and automation of key brand success data and metrics that enable Brand Owners to grow and build successful brands within the Amazon Store. This role will partner with stakeholders across multiple BX programs, Ads and Retail to help shape product roadmaps and drive data driven decisions.Key job responsibilitiesKey job responsibilities - Identify data sources and correlate key business metrics for internal and customer facing brand success framework and measurement needs.- Own the design, development, automation and maintenance of core metrics, reports, analyses, and dashboards that help stakeholders reach data driven conclusions and influences product roadmaps.- Lead the development of inputs and new channel expansion for the BX attribution model that identifies high value seller actions driven across multiple channels.- Ensure timely and accurate brand success program weekly reporting.- Update existing and create new metrics and reporting that help drive business conclusions, continually improving reporting and analysis processes.- Use active listening skills intuitively to communicate data (both written and verbal) in a clear, concise, and unambiguous manner to stakeholders.About the teamOur vision is to help Selling Partners (SPs) in any Brand building stage to strengthen their Brands, delivering higher Customer satisfaction, and attaining greater Brand awareness. We educate Brands, build tools and CX that truly measure, and optimize Brand performance. We also enable partner teams to drive towards Brand building through shared goal, metrics, and Brand insight. BASIC QUALIFICATIONS- 3+ years of tax, finance or a related analytical field experience- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- 3+ years of business or financial analysis experience- Bachelor's degree or equivalent- Experience defining requirements and using data and metrics to draw business insights- Experience with Excel- Experience with SQL- Experience making business recommendations and influencing stakeholders ...

Do you want to work on a global project of critical importance to the future of Amazon, tackling real never-been-done-before challenges of remarkable complexity? Do you have a passion for enabling measurement and reporting solutions that will drive critical business decisions? If so, the Amazon MODE (Media Operations, Data, and Execution) team is seeking an enthusiastic and skilled Business Intelligence Engineer to join our global, cross-functional team. As the Business Intelligence Engineer, you will play a pivotal part in establishing a standardized data platform with clean, reliable, and accessible data feeds. This platform will support the functional areas of cross-channel media strategy and planning, buying, marketing operations, campaign reporting, and measurement. By providing trustworthy data, technology, and tools, you will empower the business to become more data-aware and make informed, data-driven decisions. In this role, you will collaborate closely with stakeholders across marketing, advertising, finance, engineering, legal, and product management. If you are excited by the prospect of tackling complex, ambiguous challenges and driving the development of new media planning and campaign lifecycle products and features, we encourage you to apply for this transformative opportunity.Key job responsibilities* Design, develop, and oversee the reporting pipelines to onboard agency managed media metrics into reporting and measurement tool, using appropriate technologies (e.g., SQL, Python, Spark, AWS Lambda, etc.)* Complete new data onboarding for current and future roadmap of RAFT (Reporting and Fast Twitch Insights) and TaCS (Taxonomy and Campaign Spend) for reporting and measurement with agencies outside of US to enable data-driven decision-making* Onboard new Lines of Businesses to RAFT and TaCS by designing the data model, developing the reporting pipelines and creating the dashboard* Collaborate with stakeholders (marketing, advertising, finance, engineering, science, legal, and product management) to understand business domains, requirements, and expectations* Work closely with owners of data source systems to gain insights into their capabilities and limitations* Deliver minimally to moderately complex data analysis to support business needs* Adopt best practices in reporting, including ensuring data integrity, designing thorough testing, validating outputs, and maintaining comprehensive documentationA day in the lifeThe successful candidate will demonstrate an ability to influence business owners, support thoughtful decision-making, and adapt to a rapidly-evolving environment. They will collaborate with executives and business units across Amazon, bring excellent verbal and written communication skills, and prioritize the most impactful projects and programs to drive businesses forward. A typical day in this role provides an opportunity of 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.BASIC QUALIFICATIONS- 10+ years of professional or military experience- 5+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience building measures and metrics, and developing reporting solutions- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience ...

Do you want to join one of the most exciting teams at the world's most customer-centric company? Then come soar with Amazon Global Air (AIR)! AIR is a worldwide, customer-obsessed transportation provider of choice that safely delivers low cost, high quality service. AIR realizes this vision through a talented, inclusive, and diverse team, leveraging innovative technologies and a sustainability-aware mindset.​ Our AIR Data, Analytics and Business Intelligence team fuels AIR's success through data driven decisions. We empower AIR business with actionable insights, advanced analytics, and strategic foresight. By leveraging data as a strategic asset, we enable agility, uncover new opportunities, deliver trusted intelligence and delight our customers.We are looking for an experienced, innovative, and strategic Business Intelligence Engineer who will be comfortable diving into complex problems and using data to recommend business decisions. The ideal candidate will be a self-starter, highly analytical, and intensely detailed with a strong customer focus and perspective to drive strategy in a high-growth, fast-paced environment.Key job responsibilitiesData Collection and Integration:- Gather data from various sources (databases, APIs, files, etc.)- Design and implement data integration processes- Ensure data quality and consistency across systemsData Modeling and Optimization:- Implement ETL (Extract, Transform, Load) processes- Write complex SQLs to convert raw data to meaningful metrics- Optimize SQLs for improved performanceReport and Dashboard Development:- Design and create reports and dashboards using BI tools (e.g., AWS QuickSight, Tableau, Power BI, Looker)- Develop interactive visualizations to present data effectively- Ensure reports are accurate & user-friendlyData Analysis:- Conduct exploratory data analysis to uncover insights- Develop and implement statistical models and algorithms- Perform ad-hoc analysis to answer business questionsCollaboration and Communication:- Work closely with stakeholders to understand business requirements- Translate business needs into technical specifications- Present findings and insights to both technical and non-technical audiencesData Governance and Security:- Ensure data security and compliance with regulationsContinuous Improvement:- Stay updated with the latest BI tools and technologies- Automate processes where possible to increase efficiencyDocumentation and Training:- Create and maintain documentation for data models, processes, and reports- Provide training and support to end-users on BI tools and dashboardsProblem-solving:- Troubleshoot data discrepancies and technical issues- Develop solutions to complex data-related problemsData Strategy:- Contribute to the organization's overall data strategy- Identify opportunities for leveraging data to drive business valueBASIC QUALIFICATIONS- 10+ years of professional or military experience- 5+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience with theory and practice of design of experiments and statistical analysis of results- Experience with AWS technologies- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with theory and practice of information retrieval, data science, machine learning and data mining- Master's degree in statistics, data science, or an equivalent quantitative field ...