Business Intelligence

As an Applied Scientist on our Learning and Development team, you will play a critical role in driving the design, development, and delivery of learning programs and initiatives aimed at enhancing leadership and associate development within the organization. You will leverage your expertise in learning science, data analysis, and statistical model design to create impactful learning journey roadmap that align with organizational goals and priorities.Key job responsibilities1) Research and Analysis:Conduct research on learning and development trends, theories, and best practices related to leadership and associate development.Analyze data to identify learning needs, performance gaps, and opportunities for improvement within the organization.Use data-driven insights to inform the design and implementation of learning interventions.2) Program Design and Development:Collaborate with cross-functional teams to develop comprehensive learning programs focused on leadership development and associate growth.Design learning experiences using evidence-based instructional strategies, adult learning principles, and innovative technologies.Create engaging and interactive learning materials, including e-learning modules, instructor-led workshops, and multimedia resources.3) Evaluation and Continuous Improvement:Develop evaluation frameworks to assess the effectiveness and impact of learning programs on leadership development and associate performance.Collect and analyze feedback from participants and stakeholders to identify strengths, areas for improvement, and future learning needs.Iterate on learning interventions based on evaluation results and feedback to continuously improve program outcomes.4) Thought Leadership and Collaboration:Serve as a subject matter expert on learning science, instructional design, and leadership development within the organization.Collaborate with stakeholders across the company to align learning initiatives with strategic priorities and business objectives.Share knowledge and best practices with colleagues to foster a culture of continuous learning and development.BASIC QUALIFICATIONS- 3+ years of solving business problems through machine learning, data mining and statistical algorithms experience- Master's degree in operations research, applied mathematics, theoretical computer science, or equivalent- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in building machine learning models for business application ...

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

Join us at Amazon as we reinvent shopping again! We're not just talking about improving the existing Amazon shopping experiences, we're building a brand-new world where shopping is effortless and intuitive through the power of generative AI. Leveraging state-of-the-art Large Language Models and generative AI, we're creating a live, two-way natural language conversational experience that is fast, helpful and trustworthy.As people turn to Amazon for deeper insights and understanding about products earlier and earlier in their shopping journeys, we're stepping up to the challenge by synthesizing complex information and multiple perspectives so customers can explore Amazon’s vast catalog to find exactly the products that solve their particular needs. Imagine having a back and forth conversation with an AI assistant helping you to articulate a problem you’re trying solve, effortlessly answering your product questions and giving you trustworthy advice and recommendations for what to buy. Also imagine a world where this same AI assistant reduces your mental load by proactively predicting and then fulfilling your shopping needs without you needing to interfere, thus saving you time and money along the way. We are building such an AI assistant to become the digital manifestation of the helpful salesperson that asks customers what they need, helps them navigate the store, waits unobtrusively while they look over the shelves, and helps them find complementary goods. What does economics have to teach this salesperson? Can we embed lessons from the behavioral literature to help customers? This is an opportunity to embed economic expertise into large scale generative models. This is just the beginning, and the future is yours to shape.We're searching for pioneers who are passionate about using technology and innovation to fundamentally change how customers shop, and who are ready to make a lasting impact on the industry and even disrupting how Amazon serves customers. You'll be a senior technical leader working with talented scientists, economists, engineers, and product leaders to innovate on behalf of our customers and help turn generative AI shopping into Amazon’s next business pillar. Key job responsibilitiesAs the Principal Economist in the Shopping Economics team, you are a senior member of the technical leadership team, working with executives, principal engineers and scietists, and senior product leaders. Your economic thought leadership helps us to build new-to-world customer experiences that solve important problems for customers while creating new business models, ensuring Amazon is optimizing its innovation portfolio to maximally help customers solve their shopping problems. Solving problems like improving the match quality between customers’ heterogeneous needs and Amazon’s nearly infinite selection, articulating the economics of advertising in a conversation, using insights from economics to better align the LLM, and using deep learning techniques to measure substitution patterns and the economic value of engagement. You work with economists, scientists, and engineers Amazon-wide to rethink systems across the company to better optimize for helping customers through their entire shopping journey. You also develop and evangelize new mental models and new ways to measure the economic value of bleeding edge generative AI. As the senior economist in the team, you also guide the work and careers of other economists on the team.BASIC QUALIFICATIONS* PhD in Economics or related field* 7+ years experience applying economics in industry ...

The Selling Partner Experience (SPX) organization strives to make Amazon the best place for Selling Partners to do business. The SPX Science team is building an AI-powered conversational assistant to transform the Selling Partner experience. The Selling Assistant is a trusted partner and a seasoned advisor that’s always available to enable our partners to thrive in Amazon’s stores. It takes away the cognitive load of selling on Amazon by providing a single interface to handle a diverse set of selling needs. The assistant always stays by the seller's side, talks to them in their language, enables them to capitalize on opportunities, and helps them accomplish their business goals with ease. It is powered by the cutting edge of Generative AI, going beyond a typical chatbot to provide a dynamic, personalized experience to sellers running real businesses, large and small.Do you want to join an innovative team of scientists, engineers, product and program managers who use state-of-the-art Generative AI and Machine Learning technologies to help Amazon create a delightful Selling Partner experience? Do you want to build solutions to real business problems by automatically understanding and addressing sellers’ challenges, needs and opportunities? Are you excited by the prospect of contributing to one of Amazon’s most strategic Generative AI initiatives? If yes, then you may be a great fit to join the Selling Partner Experience Science team (SPeXSci).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.* Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.* 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.* Supporting cross-functional teams on day-to-day execution of projects and process improvements.* Effectively collaborate in a fast-paced environment with multiple teams in a large organization.About the teamSelling Partner Experience Science (SPeXSci) is a growing team of scientists, engineers and product leaders engaged in the research and development of the next generation of ML-driven technology to empower Amazon's Selling Partners to succeed. We draw from many science domains, from Natural Language Processing to Computer Vision to Optimization to Economics, to create solutions that seamlessly and automatically engage with Sellers, solve their problems, and help them grow. We are focused on building seller facing AI-powered tools using the latest science advancements to empower sellers to drive the growth of their business. We strive to radically simplify the seller experience, lowering the cognitive burden of selling on Amazon by making it easy to accomplish critical tasks such as launching new products, understanding and complying with Amazon’s policies and taking actions to grow their business.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- 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 ...

We are open to hiring candidates to work out of one of the following locations:Herndon, VA, USAAmazon is seeking a highly motivated Intelligence Analyst to join our world-class Amazon Security organization and work within the Response function of the Enterprise Protection Program to help Amazon prevent and mitigate insider risk.As part of the Response team, you will be involved with evaluating, investigating, and mitigating active insider risks daily. We are looking for someone who is a fan of "diving deep"; constantly learning; eager to drive the development and refinement of proactive initiatives to identify, evaluate, and mitigate risks to Amazon; adept at managing complex investigations; seeks to maintain an understanding of the security needs of our customers and business, and is willing to take on new challenges.You will consult with business, legal, and tech teams to develop gap remediation strategies and be proactive in the build-out of sustainable and systematic solutions. You will also be effective both working independently and cooperatively across partner teams when required, and able to contribute and deliver results whether involved at the level of strategic planning or tactical execution.This position involves on-call responsibilities, typically for one week every few months.Key job responsibilities• Manage complex and confidential investigations, providing timely and fact-based reporting to partners and leadership• Effectively partner with teams across Information Security, Legal, Human Resources, and others necessary in support of investigations• Establish, document, and refine standard operating procedures and internal best practices for investigative functions• Collaborate with Engineering teams to build and develop solutions and tools that identify and mitigate risk by translating use cases into technical requirements• Perform deep dive analysis of internal and external datasets to identify trends, anomalies, and activities indicative of threat• Collaborate with partner teams in the threat intelligence community, internal and external to Amazon• Identify and produce metrics to measure effectiveness of analytic capabilities and data to drive business decisionsAbout the teamDiverse ExperiencesAmazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why Amazon Security?At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.Inclusive Team CultureIn Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.Training & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.BASIC QUALIFICATIONS• 5+ years of demonstrated experience as an analyst/investigator supporting counterintelligence, counterterrorism, insider threat, internal investigations, and/or law enforcement investigations • 2+ years’ experience in conducting open-source analysis • Bachelor’s Degree in related field or 4 years of equivalent work experience ...

We are looking for an experienced and self-driven Business Intelligence Engineer with deep understanding in analytical tools, to be part of a team of talented scientists and engineers to innovate, iterate, and solve real world problem with cutting-edge AWS technologies. In this role, you will take a leading role in driving business analytics to inform the tech roadmap. You will join a cross-functional, fun-loving team, working closely with scientists and engineers on a daily basis. You will lead end-to-end development of business intelligence solutions and you’ll play an integral role in strategic decision-making. If you are passionate about creating the future, come join us as we have fun, and make history.Key job responsibilities- Define and execute an analytical roadmap that drives data-informed decision making for marketers and advertisers- Establish and drive data hygiene best practices to ensure coherence and integrity of data feeding into production ML/AI solutions- Collaborate with colleagues across science and engineering disciplines for fast turnaround proof-of-concept prototyping at scale- Partner with product managers and stakeholders to define forward-looking product visions and prospective business use cases- Drive and lead of culture of data-driven innovations within and outside across Amazon Ads Marketing orgsAbout the teamMarketing Decision Science provides science products to enable Amazon Ads Marketing to deliver relevant and compelling guidance across marketing channels to prospective and active advertisers for success on Amazon. We own the product, technology and deployment roadmap for AI- and analytics-powered products across Amazon Ads Marketing. We analyze the needs, experiences, and behaviors of Amazon advertisers at petabytes scale, to deliver the right marketing communications to the right advertiser at the right team to help them make the data-informed advertising decisions. Our science-based products enable applications and synergies across Ads organization, spanning marketing, product, and sales use cases.BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

Amazon Advertising operates at the intersection of e-Commerce and Advertising, offering a range of digital advertising solutions with the goal of helping our customers discover and shop for anything they want to buy.The Amazon Advertising business is growing at a fast pace and this team’s mission is to apply science and technology to accelerate that growth through best-in-class solutions. We are part of the Sales Recommendations & Insights team within Sales & Partner Enablement (SPE) to deliver solutions to improve Amazon Advertising Sales team effectiveness worldwide. We are building products for Amazon Advertising front line sales team. Our mission is to minimize the effort required for our Sales team to identify opportunities and recommendations to help their brands grow on Amazon.The team is looking for motivated Business Intelligent Engineers. In this role you will be responsible for and will build the foundational data pipelines and data tables, analyze large data sets, prove and disprove hypothesis, automate solutions and build self-service dashboards and reports. This person consistently employs high judgment and makes data-driven decisions, leading by example and influencing the team to do the same.Key job responsibilities - Analyze and solve business problems at their root, stepping back to understand the broader context.- Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations that will shape the future of the Amazon Business.- Develop end-to-end self-service BI solutions to support decision making for the key stakeholder.- Train business stakeholders to use the BI tools and to be autonomous in data analysis.- Research and implement novel approaches to enhance existing technical and business processes to improve customers and stakeholders experience.BASIC QUALIFICATIONS- 5+ years of professional or military experience- 5+ years of SQL experience- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience with theory and practice of design of experiments and statistical analysis of results- Experience with AWS technologies- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with theory and practice of information retrieval, data science, machine learning and data mining ...

The OpsTech Solutions(OTS) - DataTech is looking for a technically astute analytical and passionate teammate to join our team and deliver on behalf of our customers. This position will be responsible for realizing business value from the use of statistical methods to gather, review, and interpret data to solve real-business problems.The candidate will collaborate with cross functional teams and partner with data leaders to drive and deliver business value for OTS across the globe. The candidate will have a primary focus in the driving the success of our programs and cross team initiatives back by AWS technologies like QuickSight and Data Lakes/Data Mesh. This individual will collaborate with their peer team members across the globe in supporting our Data as a Product strategy and Unified Reporting strategy. The candidate will be responsible for driving customer metrics and partnering with internal and cross-functional teams of BIEs partnering with the central engineering team and business stakeholders and conducting deep dive analyses to solve complex business problems and to build robust/automated BIE solutions. The candidate will also be responsible for driving analytical strategy for their respective function and enable data driven decision making for their teammates and stakeholders. This position requires positive thought leadership and ownership mentality, statistical knowledge, analytical abilities, and good knowledge of business intelligence solutions. The candidate will also need to be a good stakeholder manager as they may work closely with senior stakeholders. The candidate should be comfortable with ambiguity, capable of working in a fast-paced environment, continuously improving technical skills to meet business needs, possess strong attention to detail and be able to collaborate with customers to understand and transform business problems into requirements and deliverables.Key job responsibilitiesSupport OTS data strategy:• Build data model solutions tailored to customer needs supporting our Tableau to QuickSight Migration and improving our Data as a Product strategyDevelop and manage data:• Build standardized reporting processes and dashboards• Automate data pipelines where possible• Develop, program, manage, and maintain complex statistical datasetsPerform data analysis and problem-solving:• Define and utilize statistical methods to solve OTS business and industry-specific problems• Research problems and identify data required to answer specific questions• Identify trends and inter-relations in data• Compare insights to identify patterns, relationships, and problemsCommunicate insights and findings:• Prepare detailed reports for management and other departments• Analyze and interpret data• Communicate findings to OTS business partners and stakeholdersCollaborate and guide:• Work with partner teams• Guide proper development of data assets• Supervise data entry when necessaryEnsure data quality and governance:• Implement best practices for data management• Contribute to data governance initiativesA day in the lifeAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: - Medical, Dental, and Vision Coverage - Maternity and Parental Leave Options - Paid Time Off (PTO) - 401(k) Plan If 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!About the teamDataTech is a centralized organization with OpsTech Solutions under the Fulfillment Technology & Robotics org. BASIC QUALIFICATIONS- 5+ years of professional or military experience- 5+ years of SQL experience- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience programming to extract, transform and clean large (multi-TB) data sets- Experience building measures and metrics, and developing reporting solutions- Experience with AWS technologies- Experience with data visualization using Tableau, Quicksight, or similar tools ...

DESCRIPTIONCome build the future as a Data Engineer at Amazon, where you will be inspired working along best-in-class inventors and innovators! You will have the opportunity to create meaningful experiences that deliver on the ever-evolving needs of our customers, and your work will impact millions of people around the world.As an Amazon Data Engineer, you will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable. You will find that there is an unlimited number of opportunities within Amazon, where developing your career across a wide range of teams is highly supported. We are committed to making your work experience as enjoyable as the experiences you’ll be creating for our customers.Build new generation features and products for amazon.com, constantly improving the Customer experience for billions around the globe. Are you interested in being part of a high-impact and growing business? Are you passionate about creating best-in-class software using AWS and Machine Learning? The Amazon Private Brands Discovery team helps customers discover and engage with new, popular, and relevant products and categories from our private brands across Amazon worldwide. We do this by combining technology, science, innovation, and creativity to build new customer-facing features and experiences.About Us:Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance be-tween your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign opportunities based on what will help each team member develop into a better-rounded contributor.Inclusive Team CultureHere at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Key job responsibilities• Design, implement, and support a platform providing secured access to large datasets.• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.• Tune application and query performance using profiling tools and SQL.• Analyze and solve problems at their root, stepping back to understand the broader context.• Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use.• Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume using AWS.• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets.• Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines ...

Join a team of cloud experts focused on uncovering and articulating advantages for AWS Customers!As a Cloud Intelligence Field BDM, you will be a strategic partner to the AWS field sales team. You will help customers understand why AWS is the best cloud partner for their business. You will coach sales teams on how to amplify AWS strengths and create differentiation strategies. As a strategic partner to sales and external customers, you will identify emerging signals and best practices, to serve the broader organization. This position blends business and technology skillsets. Cloud Intelligence Field BDMs drive complex engagements and interact with executive audiences. They also have technical competence that enables them to analyze AWS and other cloud providers. Candidates must have the capability to craft and convey compelling value propositions, and to communicate concepts and stories effectively.Key job responsibilities• Develop scalable competitive strategies to enable winning key strategic deals.• Support, coach, and develop large deal closing capability.• Be the go-to resource for an AWS field sales segment and sales leadership for AWS differentiation.• Leverage excellent communication skills to articulate the business value of AWS value propositions, working backwards from our customers strategic objectives.• Demonstrate the ability to earn trust with and influence C-level executives in customer organizations and within AWS.• Lead strategic, in-person workshops (this position will require travel).• Develop and share cloud adoption trends and blockers across the cloud ecosystem.• Enable and upskill field teams through development of field-friendly content, and delivery of trainings.• Track signals and identify opportunities, in order to provide Cloud Intelligence with insight to improve offerings.• Influence internal stakeholders on market realities, with the objective to further differentiate AWS’s value.About the teamThe AWS Cloud Intelligence team is a specialty services organization that provides cloud compete expertise globally. We are subject matter experts (SMEs) covering top and emerging competitors, key domains, and industry segments. Cloud Intelligence enables field teams to help their customers quickly by removing both business and technical blockers in the sales cycle. We advise account teams and their customers through at scale content, gather and analyze insights surrounding comparable cloud providers, and highlight product and position gaps that our customers are experiencing to continuously improve AWS’ overall value proposition. In addition to on-demand self-service resources, the CI team provides targeted support for specific competitive opportunities through one-to-one customer engagements. This team hires SAs and BDMs who are SMEs in one or more public clouds to advise AWS field teams on the best strategies to develop compelling business cases to support customers co-existing and partnering with competing public cloud services.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.Mentorship & 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.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.Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.BASIC QUALIFICATIONS- 10+ years of developing, negotiating and executing business agreements experience- 8+ years of domain Industry experience in FSI ...

Have you ever thought about what it takes to detect and prevent fraudulent activity among hundreds of millions of e-commerce transactions across the globe? What would you do to increase trust in an online marketplace where millions of buyers and sellers transact? How would you build systems that evolve over time to proactively identify and neutralize new and emerging fraud threats?Our mission in Buyer Risk Prevention is to make Amazon the safest place to transact online. Buyer Risk Prevention safeguards every financial transaction across all Amazon sites, while striving to ensure that these efforts are transparent to our legitimate customers. As such, Buyer Risk Prevention designs and builds the software systems, risk models and operational processes that minimize risk and maximize trust in Amazon.com.As a Business Analyst in Buyer Risk Prevention, you will be responsible for analyzing terabytes of data to identify specific instances of risk, broader risk trends and points of customer friction, developing scalable solutions for prevention. You will need to collaborate effectively with business and product leaders within BRP and cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. You should be able to apply a breadth of tools, data sources, and analytical techniques to answer a wide range of high-impact business questions and proactively present new insights in concise and effective manner. In addition you will be responsible for building a robust set of operational and business metrics and will utilize metrics to determine improvement opportunities.You should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high impact role with goals that directly impacts the bottom line of the business.Responsibilities: - Understand the various operations across Payment Risk - Design and develop highly available dashboards and metrics using SQL and Excel/Tableau - Perform business analysis and data queries using scripting languages like R, Python etc - Understand the requirements of stakeholders and map them with the data sources/data warehouse - Own the delivery and backup of periodic metrics, dashboards to the leadership team - Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies - Execute high priority (i.e. cross functional, high impact) projects to create robust, scalable analytics solutions and frameworks with the help of Analytics/BIE managers - Perform business analysis and data queries using appropriate tools - Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus area- Execute analytical projects and understanding of analytical methods (like ANOVA, Distribution theory, regression, forecasting, Machine Learning Techniques, etc.)- Draw inferences and insights from the data using EDA and data manipulations using advanced SQL for business reviewsKey job responsibilities• Understand the various operations across Payment Risk• Design and develop highly available dashboards and metrics using SQL and Excel/Tableau/QuickSight• Understand the requirements of stakeholders and map them with the data sources/data warehouse• Own the delivery and backup of periodic metrics, dashboards to the leadership team• Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies• Execute high priority (i.e. cross functional, high impact) projects to improve operations performance with the help of Analytics managers• Perform business analysis and data queries using appropriate tools• Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus area• Execute analytical projects and understanding of analytical methods (like ANOVA, Distribution theory, regression, forecasting, Machine Learning Techniques, etc.)BASIC QUALIFICATIONS- Bachelor's degree in business, engineering, statistics, computer science, mathematics or related field- 1+ years of tax, finance or a related analytical field experience- Experience creating complex SQL queries joining multiple datasets, ETL DW concepts- Experience defining requirements and using data and metrics to draw business insights- Experience demonstrating problem solving and root cause analysis- Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages- Experience in a BI role with a technology company or financial institution- Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc.- Experience using databases with a large-scale data set- 1+ year of experience working in Analytics / Business Intelligence environment with prior experience of design and execution of analytical projects ...

Amazon's Fulfilled by Amazon (FBA) Voice of Seller team seeks a Senior Business Analyst with a strong technical skill set and a proven ability to influence across multiple organizations. Over the last 20 years, the share of physical gross merchandise sales sold on Amazon by third-party Sellers has grown. With Sellers in multiple countries listing their products for sale on the Amazon Marketplace, these Sellers are increasingly critical to delivering on Amazon’s vision of offering the Earth’s largest selection and lowest prices.This role will work with science and marketplace business teams to build advanced models to reduce end to end supply chain costs for FBA Sellers. You will build bridges to explain variance in inventory at granular levels to drive appropriate action within FBA product, marketplace business teams, and FBA Sellers. This is an analytical role which will require you to work closely with science and Machine Learning teams. This role will expose you to Seller pain points and ability to reshape their experience by influencing product vision and roadmap to implement step change product ideas globally. This is an opportunity to work in a startup like environment within Amazon and we seek an analytics leader who is motivated by a fast-paced and highly entrepreneurial environment. If you have a passion for innovation, for thinking big to tackle ambiguous problems, for solving some of the biggest technical challenges in the industry, and for building elegant products that delight our customers, we need you!Key job responsibilities• Analyze seller experience trends and build engagement metrics for each marketplace. • Identify opportunities to improve supply chain efficiency and reduce end to end supply chain cost for Sellers. • Design seller facing experiments liaising with Product and Science teams. • Develop Key Performance Indicators that help measure experimental efficacies • Create actionable bridges to explain variances in seller behavior to expected experimentation outcomes. • Engage with stakeholders across marketplace business teams, capacity, S&OP and Finance teams to socialize FBA inbound and inventory KPIs • Design and implement reporting solutions to enable stakeholders to manage the business and make effective decisions. • Support cross-functional teams on the day-to-day execution of the existent program implementation. • Monitor existent metrics, build new metrics, and partner with internal teams to identify process and system improvement opportunitiesA day in the lifeAs a Sr. Business Analyst, you will help develop analytic solutions to drive deep dives, provide insights into the health and state of the FBA business. You will transform data for the millions of unique products involving hundreds of thousands of Selling Partners and tens of millions of customers around the world into actionable business information, make it accessible to stakeholders worldwide. You will communicate complex ideas to leadership so they are easily understood. 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, metadata modeling, pipeline development and monitoring. You will interact with leadership, scientists, program and product owners, and technical teams to gather requirements, structure scalable data 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.BASIC QUALIFICATIONS- Bachelor's degree in supply chain management, operations, engineering, analytics or related field- 5+ years of business or financial analysis, product costing, procurement, or a quantitative role experience- 5+ years of writing SQL queries and creating business intelligence reports using Tableau, Power BI experience- Experience defining requirements and using data and metrics to draw business insights- Experience with QuickSight dashboard and visual creation ...

The Relay Operations Center (ROC) Tech Analytics team 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 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 tool sets 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 - Data extraction, manipulation and production from database tables (Data Warehouse) - Automation and tool development using various programming languages - Design and implementation of analytical models using statistical analysis - Development of data visualization using commercial suites - Generating/extracting data from our BI databases to support dive deep activities- Prioritizing, optimizing and delivering timely updates for metrics- Automating reports and tools with a combination of SQL, visualization tools- Partnering with stakeholders to understand business challenges and provide data/analysis to help drive projects- Uncovering trends and correlations through data mining and analysis to develop insights that can improve the business and help make effective decisions- Building dashboards and tools that will allow our team and cross-functional partners to self-service their data needs whenever possible- Graphically expressing data to allow easy access and understanding for a broad range of people- Uncovering trends and correlations through data mining and analysis to develop insights that can improve the business and help make effective decisions#NALHBASIC QUALIFICATIONS- Bachelor's degree or equivalent- 2+ years of business analyst, data analyst or similar role experience- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders- 2+ years of experience in SQL ...

AWS is one of Amazon’s largest and fastest growing businesses, serving millions of customers in more than 190 countries. We use cloud computing to reshape the way global enterprises use information technology. We are looking for entrepreneurial, analytical, creative, flexible leaders to help us redefine the information technology industry. If you want to join a fast-paced, innovative team that is making history, this is the place for you.The AWS Finance Analytics and Science Team (FAST) team is responsible for many of the key functions needed by the AWS global sales organization, including building and operating the data resources that provide the AWS sales organization with insights into all areas of business performance. The successful candidate will be an expert with SQL, ETL (and general data wrangling), and have exemplary communication skills. The candidate will need to be comfortable with ambiguity in a fast-paced and ever-changing environment, and able to think big while paying careful attention to detail. The candidate will know and love working with business intelligence tools and can partner with customers to answer key business questions.Key job responsibilities· Work with business customers to gather requirements and deliver complete data analytical solutions· Learn why customers are asking for data and what their underlying questions and business goals are· Own the design, development, and maintenance of ongoing metrics and analyses used to drive key business decisions· Recognize and adopt best practices, including data integrity, accuracy, and reliability, as well as documentation· Drive data democratization throughout the organization, enabling others to self-serve their data needsBASIC 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 ...

Amazon’s Marketplace services over 2 million Sellers disrupting traditional notions of retail marketplace and connecting millions of businesses, big and small, to millions of Customers within the Amazon.com marketplace. The Marketplace business exceeds 50% of the total Amazon.com sales and each year, tens of thousands of businesses join the marketplace adding millions of new products.The Seller Fulfillment Services (SFS) team is seeking a experienced Business Intelligence Engineer to own strong and complex analytics and to bring in comprehensive deep dives to help drive the growth of SFS Business.The candidate should have expertise in designing and implementing scalable data warehouse infrastructure and build dynamic visualization platform and self serve tools for end-user consumption. Candidate should have solid knowledge in data engineering to develop efficiency DW pipelines given the scale of the dataset SFS is working with. Moreover, the candidate should have ability in using advanced techniques, for example scripting language and building statistical models, to drive complex insights analysis.Our ideal candidate thrives in a fast-paced environment, enjoys the challenge of highly complex business scenarios and is passionate about data and analytics. To be successful in this role you will need to have excellent analytical, data warehousing and communication skills.Key job responsibilities- Design, implement, and deploy BI solutions. You successfully solve difficult and/or loosely structured problems. You are able to refine requirements from business stakeholders into a functional design that solves the problem- Have a solid understanding of data design approaches and analysis techniques (and how to best use them)- Able to work independently and with your team to deliver BI solutions successfully- Demonstrate high quality (e.g., maintainable, efficient, well-documented) work consistently and incorporates best practices. Your team trusts your work- You focus on operational excellence: constructively identifying quality issues, proposing solutions when necessary, taking on projects that improve your team’s BI solutions, and making them better and easier to maintain- You create source-of-truth datasets using SQL; you leverage scripting language i.e. Python to create automation and reduce manual processesBASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

The GTMC SIERRA (Science, Insights, Experience, Research, Reporting & Analytics) organization is seeking a talented and experienced Business Intelligence Engineer (BIE). This role involves collaborating with various teams within GTMC and across other Amazon teams to enhance the Manager Hub platform and product experience. You will contribute to projects spanning Applied Science, Front End, and Backend engineering disciplines. As a member of the engineering team responsible for the development and maintenance of the Manager Hub platform, your responsibilities will include measuring the efficacy of features, adoption, engagement, and strategic program initiatives. In your role as a BIE, you will play a crucial part in automating and building dashboards, as well as standardizing and scaling complex data tasks.A successful candidate will have a passion for business and data analytics and a deep knowledge of business intelligence solutions. The individual will have experience working with diverse groups of stakeholders, gaining expertise in their data and metrics, and translating their business needs to technical solutions. The individual will have the ability to work in a fast-paced environment, and a desire to innovate, fail fast, learn, iterate and improve.Key job responsibilities· Work with stakeholders to understand their needs and design reporting and automation solutions that will exceed expectations.· Build detailed understanding of Manager Hub processes and how they map to data.· Work with a variety of data sources and large data sets, extract data using efficient query. .development and provide a holistic and consistent view of the data.· Actively drive automation and scaling of data processes and create self-service tools.· Build knowledge of the latest tools and technologies to help deliver flexible and scalable solutions.· Partner with data engineering teams to adapt data infrastructure to requirements.· Actively manage the timeline and deliverables of projects, anticipate risks and resolve issues.About the teamGlobal Talent Management & Compensation (GTMC) SIERRA (Science, Insights, Experience, Research, Reporting & Analytics) is a horizontal, multi-disciplinary organization whose mission is to be a force multiplier for the broader GTMC organization and our key customer cohorts. We accomplish this by using our expertise in data analytics and science, economics, machine learning (ML), UX, I/O psychology, and engineering to build insights and experiences that raise the bar in understanding and shaping decision making at scale by integrating within and across talent journeys as well as through self-service tools and closed loop mechanisms outside of those journeys. Our portfolio of products spans foundational data sources, metrics, and research through to finished features and products that our end-customers interact with on a daily basis.BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

Amazon Last Mile DSP is seeking an extraordinary Data Engineer to join the DSP Analytics team. At Amazon, we are working to be the most customer-centric company on earth -- including how we fulfill and deliver customer orders. The goal of Amazon’s Service Partner (DSP) Team is to exceed the expectations of our customers by ensuring that their orders, no matter how large or small, are delivered as quickly, accurately, and cost effectively as possible. To meet this goal, Amazon is continually striving to innovate and provide best in class experience through the introduction of pioneering new products and services in the last mile space. This person will play a key role in providing the end-to-end engineering solutions to support key business initiatives related to safety of drivers. If you are passionate about technologies, strongly biased to go deep to find insights and build scalable real time analytical platform, relentless in ensuring quality and reliability, and feel comfortable communicating with different levels of leadership, you are the candidate we are looking for! You should have deep expertise in creating, managing, and utilizing large and small datasets across a variety of data platforms. You should have excellent business and interpersonal skills to work with business owners, understand their data requirements, and build scalable and robust data solutions. You should be an expert at crafting, implementing, and operating stable, scalable, and cost-effective solutions to manage data flow from multiple production systems. Above all, you should be passionate about working with data and enjoy bringing varied datasets together to answer business questions and drive growth. You will develop new engineering patterns that leverage new cloud architectures, and will extend or migrate existing data pipelines to these architectures as needed. You will be responsible for designing and implementing complex data pipelines in Amazon's platform and other BI solutions to support the rapidly growing and dynamic business demand for data, and use it to deliver data-driven insights that will have an immediate impact on day-to-day decision-making at Amazon.About the teamWe are the core Amazon DSP business intelligence team with the vision to enable data, insights and science driven decision-making. We have exceptionally talented and fun loving team members. In our team, you will have the opportunity to dive deep into complex business and data problems, drive large scale technical solutions and raise the bar for operational excellence. We love to share ideas and learning with each other. We are a relatively new team and do not carry legacy operational burden. We believe in promoting and using ideas to disrupt the status quo.BASIC QUALIFICATIONS- 3+ years of data engineering experience- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Knowledge of distributed systems as it pertains to data storage and computing- Experience with data modeling, warehousing and building ETL pipelines- Experience working on and delivering end to end projects independently- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby- Experience with Redshift, Oracle, NoSQL etc. ...

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

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. This role is in Amazon's Worldwide Grocery Stores Tech Data and Analytics organization. We work with all aspects of the grocery business (e.g., Merchandising, Pricing, Promotion, Supply Chain, Finance, Marketing, Space Planning, etc.). We own and develop within an in-house platform to configure and build Analytics Solutions across multiple business domains.This role is both creative and data driven – we need someone who can review our current infrastructure, isolate improvement opportunities, help us think big about what to consider in terms of localization, scalability, commodity management, and long term automation. We are looking for someone who will scope and execute analyses to formulate conclusions and recommendations to be presented to senior leadership on business growth opportunities. You will also be responsible for producing insights that will help shape effective strategies to better meet our customers’ needs. You will work closely with internal teams, and partners across the grocery business line and other partner teams in these areas to provide decision support in this rapidly evolving space.This role requires an individual with deep knowledge of business intelligence solutions, and have the ability to work with technology, product development, and business teams. The successful candidate will have passion for data and analytics, be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and entrepreneurial environment, and driven by a desire to innovate Amazon’s approach to this spaceKey job responsibilities- Develop new and innovative analyses to inform product strategy and design. This analysis will determine approach and roadmap for key strategic initiatives.- Analyze relevant business information, and uncover trends and correlations to develop insights that can materially improve our product and strategy decisions.- Develop clear communications for recommended actions.- Establish new, scalable, efficient, automated processes for tracking and reporting on progress of initiatives.- proactively and continually improve your level of knowledge about Amazon’s Grocery business, the business processes in the domain of your key stakeholders, and relevant technologies supporting those processes.- understand functional requirements and work to improve the end user experience for the application supported.- employ modeling and flowcharting techniques to communicate technical solutions in a simple but effective manner.- Collaborate with Product Managers and stakeholders to define deliverables and timing.- work with Product Managers to build mockups and prototypes of applications or reports- analyze data and design data models to support Applications and AnalyticsAbout the teamWe enable sophisticated, fact-based decision making across Amazon Grocery by delivering constantly evolving technology and analytic capabilities. This team will solve challenging and novel problems every day and have the opportunity to redefine the grocery industry while collaborating with multiple teams across WFM and Fresh. You will be able to enjoy and contribute to the unique blend of Amazon and WFM Tech culture. You will be based out of Austin, TX, one of the best places to live and work.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 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 ...

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. ...