Business Intelligence

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 ...

Prime Video is an industry leading, high-growth business and a critical driver of Amazon Prime subscriptions, which contribute to customer loyalty and lifetime value. Prime Video is a digital video streaming and download service that offers Amazon customers the ability to rent, purchase or subscribe to a huge catalog of content. As a Data Engineer, you will be working in one of the world's largest and most complex data warehouse environments. You will design, implement and support scalable data infrastructure solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models and ad-hoc data requests. You will be exposed to cutting edge AWS big data technologies. You will also have the opportunity to create white papers and build POCs. In this role, you will have the opportunity to build complex, high-performing, and scalable data products. In this role you will help scientists collect the latest worldwide video data, customer segments, and diverse signals of marketing impressions to support scaled forecasting tools. You will be working with a diverse group of economists and machine-learning researchers on business critical projects. Key job responsibilitiesInterface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL/python and AWS big data technologies such as EMR, Redshift.Explore and learn the latest AWS technologies to provide new capabilities and increase efficiencies.Designing and implementing complex ETL pipelines by processing petabytes of data that empowers scientists in team to build large scale Machine Learning models.Work closely with Product Managers, Applied Scientists, and Economists in team to explore new data sources and build pipelines for same that expands existing ML models.Design and build Data products such as data-quality, anomaly detection and data governance.A day in the lifeThe mission of the Video Content Research team is to provide analytics and science to support customer-driven content decisions. We are product focused, so we build reliable, scalable, worldwide tools. We measure the long-run economic value of Prime Video, and we help define the strategies and support decisions to maximize this value. Our team values close collaboration, and we strive to constantly learning new machine-learning and cloud-computing technologies.About the teamOur team predicts how many customers will watch any new show that Amazon Studios is considering creating. We build complex data products to provide insights into customer segments worldwide and support scaled forecasting tools. We measure and forecasts the performance of our marketing campaigns, and how many new customers will our advertising spend drive. We collect diverse signals of marketing impressions and publish model outputs for driving key business decisions. We analyze key metrics that attract new Prime members. We build tools that measure the long-run value driven by customer engagement with our content.BASIC QUALIFICATIONS- 4+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets ...

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers who work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling, and fun.Amazon Robotics empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfillment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas.Amazon Robotics co-op opportunities will be based out of the Greater Boston Area in our two state-of-the-art facilities in Westborough, MA and North Reading, MA. Both campuses provide a unique opportunity to have direct access to robotics testing labs and manufacturing facilities.Must be eligible and available for a full-time (40h / week) 6-month co-op between January to June 2025 or July to December 2025 Travel amount is less than 10% a year.Key job responsibilities- Converting data into digestible business intelligence and actionable information- Design and develop highly available dashboards, perform business analysis and data queries using SQL, Python and other BI Tools- Working with large data sets, automate data extraction, and build monitoring/reporting dashboard- Story telling with Data and Visuals- Interacting with internal stakeholders to deep-dive outlier events- Analyze and solve business problems with focus on understanding root causes and driving forward-looking opportunities- Communicating complex analysis and insights to our stakeholders and business leaders, both verbally and in writing.- Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable formatBASIC QUALIFICATIONS- Knowledge of Tableau or Power Query- Knowledge of SQL- Work 40 hours a week throughout the course of a 10 weeks to a 6 months summer internship- Experience in Excel (macros, index, conditional list, arrays, pivots, lookups)- Are 18 years of age or older ...

Are you driven by the excitement of unraveling intricate data puzzles? Does your DNA resonate with collaborative problem-solving? Do you thrive on witnessing the ripple effects of your contributions in the larger scheme of things? If you've nodded along to any of these questions, welcome to Clarity team! We're not just a team; we're a dynamic cohort of engineers dedicated to leveraging cutting-edge innovations for Amazon's PXT Business Analytics tools and software. Together, we confront tangible challenges head-on, poised to revolutionize customer experiences in unforeseen ways. Every day, we embark on a journey of invention, pioneering fresh solutions that shape tomorrow's landscape.Our mission is clear: to harness the power of people data and empower PXT and people leaders to make decisions that steer Amazon towards its goal of becoming Earth’s Best Employer. We specialize in building features that streamline data gathering and analysis for PXT users, freeing up more time for action and removing barriers for Amazonians.We are currently seeking a talented and motivated Business Intelligence Engineer to lead the design, development, and testing of data pipelines and a centralized data store for people metrics data. Within the PI data services team, you will champion frameworks that empower our internal customers to seamlessly create data pipelines and ETL workflows. The ideal candidate possesses a robust understanding of data modeling concepts, complemented by a foundational grasp of Data Viz. Continual acquisition of expertise, iterative approaches, and adaptability are key facets of this role. We seek individuals deeply committed to pragmatic problem-solving and unafraid to pioneer new territories. Your ability to craft extendable designs and maintainable technical solutions while keeping long-term visions in focus will be paramount. If you can dream it and justify it, we're ready to explore it together. Join Clarity, where we equip you with the tools and encouragement to co-create in an environment that's not just rewarding and fulfilling, but also incredibly fun.Key job responsibilities- Design and build business critical, highly available data pipelines in a stable, low cost model.- Conduct deep dive analyses of business problem statements and formulate conclusions and recommendations to leadership.- Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.- Monitor metrics, analyze data and partner with internal teams to identify process, system improvement opportunities and come up with BI solutions.- Internalize our customer challenges and derive creative solutions which apply new and innovative technology.- Work directly with customers to integrate new data types, equipment, and incorporate feedback.- Partner with Data Engineering to enhance data infrastructure, data availability, and broad access to customer insights- Apply best practices including coding standards, code reviews, source control management, agile development, build processes, and testing.- Actively support and foster a culture of inclusion.A day in the lifeSuccessful candidate would have extensive experience working with big data, building data warehouses and data processing services. They are effective at seeing data patterns and building generic data solutions to improve user experience.About the teamOur mission is to harness the power of people data to empower PXT and people leaders to make decisions that help Amazon become the Earth’s Best Employer.BASIC QUALIFICATIONS- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience with data modeling, warehousing and building ETL pipelines- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business- Experience in Statistical Analysis packages such as R, SAS and Matlab ...

Selling Partner Support (SPS) is responsible for creating a trustworthy shopping experience across Amazon stores worldwide by protecting customers, brands, selling partners and Amazon from fraud, counterfeit, and abuse as well as empowering, providing world‐class support, and building loyalty with Amazon’s millions of selling partners. We value individual expression, respect different opinions, and work together to create a culture where each of us is able to contribute fully. Our unique backgrounds and perspectives strengthen our ability to achieve Amazon's mission of being Earth's most customer-centric company. Amazon’s Perfect Order Experience team, under CTPS, works to ensure that Customers can buy with confidence on Amazon. We develop and implement technology innovations, programs, tools, and policies to protect the buying experience on Amazon while minimizing friction for our selling partners. Our team is constantly innovating on behalf of customers to solve business problems. We are looking for a Business Analyst to help us drive improvements in our A-to-z Guarantee space.A-to-z Guarantee is Amazon’s primary mechanism for protecting customers when they encounter a negative order experience with a third-party seller. We focus on helping Customers easily report a problem when something goes wrong, Sellers to effectively resolve these problems for our customers, and Amazon systems & associates to efficiently adjudicate decisions where we need to step in! Because of the customer experience & financial impact of this product, as well as the opportunities to test integration points upstream, parallel, and downstream – this is an exciting opportunity for a Business Analyst to enter the team, take ownership of the problem space, simplify & reinvent, and help drive exciting results for the program! Key job responsibilitiesAside from heavy involvement in several high-impact initiatives the team is driving towards, key day-to-day responsibilities for this role will include:Detection of Issues & Impact Assessments eg. An issue with the A-Z operational SLA – how large is the problem and what are the upstream and downstream impactsRoot Cause Analyses & Solution Scoping eg. Identify that the miss comes from a forecasting issue and a spike in appeal rates. Propose modified drivers for claims volume forecasts and deep dive improved communication messages to our Selling Partners so they are more aware of our policies. Assess expected impact of these actionsMonitoring & Mechanisms eg. Generate self-serve reporting to ensure the actual impact from the actions are aligned with what was expected (iterating if needed). Integrate these metrics into the right recurring mechanisms to ensure a) future issues can be detected faster or prevented altogether, and b) the right feedback loops exist to continually improve our productsAbout the teamGuaranteed Remediation Experience (GRX) provides Amazon’s primary mechanism for protecting customers when they encounter a negative order experience. We focus on helping Customers easily report a problem when something goes wrong, Sellers to effectively resolve these problems for our customers, and Amazon systems & associates to efficiently adjudicate decisions where we need to step in! Because of the customer experience & financial impact of this product, as well as the opportunities to test integration points upstream, parallel, and downstream – this is an exciting opportunity to enter the team, think big, simplify & reinvent, and help set the future vision for the program!BASIC QUALIFICATIONS- 3+ years of tax, finance or a related analytical field experience- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- 3+ years of business or financial analysis experience- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders ...

Our teams strive to make Amazon the best place for our Selling Partners to reach consumers, driven by the experience and support we provide them in growing their businesses locally and globally. We leverage technology including automation, self-service, associate tools, and machine learning to both prevent Seller, Vendor and Brand contacts based on knowledge obtained during our support interactions, and to handle those contacts with quality and efficiency. We hire the world’s brightest minds, offering an environment in which they can relentlessly detect, design, and drive solutions to improve the Amazon customer experience. We do this every day by solving complex business and technical problems with ingenuity and simplicity. We are looking for a Business Analyst with expertise in data analytics skills, strong business acumen, an ownership mindset and ability to clearly communicate. In this role, you will leverage our data to drive efficiencies, provide key data-driven insights, enable new opportunities and innovate on behalf of business customers, in close partnership with business teams. You will manage and execute entire components of large projects from start to finish including data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations. You will also support building metrics and reporting on them to senior leadership.A successful candidate will develop a strong understanding of our business and make data-driven conclusions to drive Selling Partner Support Expereince. They will be comfortable with ambiguity while working in a fast-paced dynamic environment. They will also continuously learn new systems, tools, and industry best practices to help design new tools that help our team automate, and accelerate analytics. Key job responsibilities• Oversee business and finance reporting and analytics• Understand input drivers and validate integrity of the reporting to influence strategic decision-making and planning• Build and drive planning, forecasting, and reporting models• Generate actionable insights through the development of metrics, dashboards and deep dive analyses • Communicate data (both written and verbal) in a clear, concise, and unambiguous manner• Influence critical business decisions with dataBASIC QUALIFICATIONS- 3+ years of business or financial analysis experience- Bachelor's degree or equivalent- Experience with SQL- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders- Experience in Excel (including VBA, pivot tables, array functions etc) and data visualization tools such as Tableau ...

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. We are looking for a Business Intelligence Engineer to build models and algorithms for procurement, selection, marketing and pricing tools in grocery management. 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 excellent statistical and analytical abilities, 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 space.Key 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. - Use machine learning, data mining and statistical techniques to create new, scalable solutions for business problems.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 ...

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

Amazon Ads operates at the intersection of e-Commerce and Advertising, offering a rich array of digital advertising solutions with the goal of helping our customers find and discover anything they want to buy. Amazon DSP is Amazon’s programmatic advertising product for campaigns spanning Video, Audio and Display across Amazon properties (e.g., Amazon.com, Freevee, Twitch, Fire TV, and Amazon Music) and tens of thousands of third-party websites and apps. We start with the customer and work backwards in everything we do, including advertising. If you’re interested in working to build a unique, world-class advertising offering with a relentless focus on the customer, you’ve come to the right place.A successful candidate will have a passion for data and analytics, knows and loves working with BI tools, is comfortable accessing and working with big data from multiple sources, and can partner with internal stakeholders to help drive the business. They will have a deep knowledge of business intelligence solutions, possess excellent statistical and analytical abilities, and have the ability to work with technology, product development, and business teams. They will be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment, and driven by a desire to innovate.Key job responsibilities- Partner with Product teams to understand the business requirements and implement solutions to support product plans.- Design, develop, and maintain scalable, automated, user-friendly systems, reports, and dashboards enabling stakeholders to manage the business and make effective decisions.- Implement training and documentation solutions that enables stakeholders to get the most out of our self-serve analytics tools.- Develop and support the analytical technologies that give stakeholders timely, flexible, and structured access to their data.- Define, develop, and maintain critical business and operational reports reviewed on a weekly, monthly, quarterly, and annual basis.- Analyze historical data to extract meaningful insights from large and complex data sets to identify trends and support decision making, including written and verbal presentation of results and recommendations.- Conduct ad hoc data analysis and data quality investigations.BASIC QUALIFICATIONS- 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 working in ad tech ...

Do you want to reinvent shopping on Amazon? With ever expanding selection, and ambient computing looming on the horizon, it's time to create a new shopping experience, beyond search & browse. It's time to make purchasing with the help of Alexa trivially easy, and delight customers at the level of a knowledgeable, personal shopping assistant that helps them save time and money. It's time to leverage big data and machine learning to generate relevant and trustworthy recommendations for billions of shopping journeys through billions of products, and to make it easy and natural for customers to discover those recommendations. We are seeking the industry's best to help us create new ways to interact, search and shop. Alexa Shopping BI Team's vision is to empower Alexa Shopping teams by (i) providing BI capabilities that support measuring, understanding and assessing key inputs / outputs related to business decisions and (ii) uncovering actionable insights to address challenging business questions. In this role you will: - Work closely with Alexa Shopping Product Managers, Software Development Managers and Software Development Engineers to gather requirements and help identifying the right technical artifact, while ensuring prioritization and transparent communication.- Work closely with Data Engineering to ensure high quality instrumentation that allows to analyze trends and metrics at the most granular level.- Build scalable solutions, using analytics tools and languages (notably SQL), to provide data and KPIs to inform business decision through streamlined reporting and visualization/reporting tools such as Quicksight.- Collaborate with stakeholders to create additional metrics and processes based on program changes and customer requirements.- Perform quantitative analyses to uncover areas of opportunity and present written business recommendations that will help shape Alexa Shopping product roadmap.- Help defining and analyzing A/B testing, ensuring statistical significance and educating stakeholders to properly interpret results.- Collaborate with finance as a leader of ongoing analytical support.BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business ...

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) ...

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 ...

Amazon is investing in building a customer centric, world class advertising business. In this role, you will be on the cutting edge of developing publisher solutions across Streaming Video, Streaming Audio and Display Advertising. These are nascent, high growth areas, including Amazon’s Prime Video, Alexa, Amazon Music, and new acquisitions in Podcasting, where scalable, programmatic Ad publisher solutions are critical to business success.As a Senior Business Intelligence Engineer for Supply Forecasting, you will have an enormous opportunity to impact the customer experience and business of cutting-edge products and services. You'll be a key member of a growing organization's strategy of how to measure and improve the things that matter most to our customers. You will work with product leaders to analyze feature launches and engagement trends to generate key insights for future improvements. You will work with engineering teams to make sure that we have the data that helps us measure what matters most. Most importantly, you will work across teams to drive alignment of key metrics and performance indicators and set goals that help our teams achieve our long-term visionA successful candidate is highly analytical, able to work extremely effectively in a matrix organization, and adept at synthesizing a variety of technologies and capabilities into products that Advertisers love. You must engage with customers to deeply understand their current and emerging needs. Publisher Technology at Amazon is rapidly evolving and you must develop customer insight to identify solutions and invent on behalf of the customer. We are looking for someone customer obsessed and technology savvy - with a passion for advertising. The ideal candidate will have a well-rounded technical background as well as a history of leading complex, ambiguous projects end-to-end.Key job responsibilities• Own the design, development, and maintenance of ongoing performance metrics, reports, analyses, and dashboards to drive key business decisions• Transform data into actionable insights and influence the direction of the business by delivering automated insights and high-quality metrics dashboards.• Partner with Data Engineering to define data models to develop streamlined automated data and analytical pipelines.• Engage and collaborate with stakeholders to design and develop high quality metrics and dashboards that effectively track evolving business initiatives.• Present and communicate findings and recommendations to product and leadership team.• Engage with leadership and diversified stakeholder groups to understand data needs and recommend Business Intelligence solutions.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 ...

Do you thrive on developing your team to build and leverage best in class data products and solutions to make high-judgement decisions ? Are you looking for a role where you can have a long-term impact on the technology and business? Do you want to play a key role in shaping the future of small business owners in Last Mile delivery? We are looking for an experienced hands-on technical leader to join Lastmile Delivery Service Partner (DSP) Analytics organization. This role will lead team of Business Intelligence Engineers (BIEs) to drive Data & Analytics for DSP Performance measurement and improvements.As a Sr Business and Intelligence manager, this role will guide the data and analytics team to build and maintain data and reporting solutions, manage data infrastructure, develop and improve analytics products, simplify data access and unlock self-service insights. Through tooling, automation, data analysis and statistical modeling , their team will create solutions and feedback loops to continuously measure KPIs and empower Delivery Associates (DAs) and DSPs to improve their and customer’s experience, sentiment and quality.Key job responsibilities* Work with Product and Program managers, org leaders, SDMs, and Tech team members to to build relevant data products and solutions.* Build a team of BIEs, DEs and Data Scientists to create and support datasets, metrics and KPIs to meet DSP business goals.* In partnership with WW DSP Product & Offer and Transportation Experience orgs, develop relevant and defensible metrics and KPIs that drive and track business strategy.* Define and develop data infrastructure, data products , dashboards and visualizations for key metrics and KPIs.* Drive data governance (data integrity, metrics definitions, and single source of truths, accountability and documentation).* Establish strategic partnership with business stakeholders, build team's 1YP/3YP vision and effectively communicate and drive key initiatives.* Recruit, mentor, and lead a high-performing data team, fostering a culture of innovation, collaboration, and professional growth.* Provide guidance, feedback, and performance evaluations to team members, driving their development and success.* Stay updated with the latest technology trends, methodologies, and tools in Analytics, Data Engineering, and Data Science, recommending and implementing technologies that enhance insight capabilities and efficiencies.About the teamWe are the core Amazon DSP data analytics 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- Bachelor's degree- 10+ yrs in Business Intelligence, Data Science, Data Engineering or Software Engineering role.- 5+ years of experience hiring and leading a Data, BI or Science teams.- Experience leading and influencing the data and BI strategy for their organization.- Experience owning/driving roadmap strategy and definitions.- Experience with feature delivery and tradeoffs of a product.- Experience driving and contributing to engineering, technology and data product strategy decisions.- Experience with SQL, Scripting/Programming (Python, R).- 2+ years’ experience with Tableau, Looker or similar BI Reporting Platform.- Experience with data modeling, warehousing and building ETL pipelines.- Analytical and quantitative skills; experience using data and metrics to test and confirm assumptions, and measure success.- Proven ability to identify, analyze, and solve ambiguous problems with an extreme attention to detail. ...

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 ...

Business Intelligence Engineer Come build the future as a Business Intelligence 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 Business Intelligence 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.Apply now and you will be eligible for Amazon Business Intelligence Engineer positions that are based on your preferred location, team, and more. We’re hiring across Amazon Stores in the United States and Canada. Teams with available positions include, but are not limited to:• Consumer Technology: Build new generation features and products for amazon.com, constantly improving the Customer and Seller experience for billions around the globe. Whether building site wide features such as reviews and recommendations, category specific software for the likes of Pharmacy, Electronics, Digital Software and Video Games or seller infrastructure, there are a variety of complex problems to tackle using a range of technologies in the design of your technical solutions. • Operations Technology: Shape the future of transportation planning and execution on a global scale, that impacts hundreds of fulfillment centers, thousands of Amazonians, and millions of customers across the world. Your technology will support thousands of operators worldwide to design, build and run the best-in-class Amazon transportation network. We are building intelligent software to make transportation more reliable, faster, and less costly, providing a better and less expensive experience for our customers.• Human Resources Technology: Create a seamless experience for millions of Amazonians and/or candidates. Whether supporting technologies for onboarding, time and attendance, compensation, amazon.jobs, or recruiting, you’ll deliver robust feature sets, elegant designs, intuitive user interfaces and systems that make it easy for Amazonians to excel at performing critical business functions.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 between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. 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.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 ...

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 ...

At Amazon.com we are working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. Amazon’s Consumables Category Productivity team is looking for an analytical, driven, and creative leader to drive strategically important operational initiatives through business intelligence and leveraging the power of data analytics.The Business Intelligence Engineer (BIE) is an innovative, results driven professional that executes continuous improvement through data-driven actions. The individual must exercise strong judgment and autonomy in the identification and execution of strategic improvement plans built on cross-Category, Technology, and Operations partnerships. This role will impact and inform how Amazon executes Consumables businesses across the NA Store. The individual should possess a track record of successful relationship management, strong business and analytical acumen, and experience working with technology and engineering teams. Great communication skills, ability to think big and influence cross Amazon teams and high ownership to deliver successful results will be essential.Key job responsibilities• Creating new reporting to inform business reviews, deep dive analyzer tools, and more emerging strategy efforts.• Improving auditing tools to understand relevant inputs and identify gaps in technology systems to support creation of new capabilities to drive business operating leverage.• Building insights-oriented visualization tools in Quicksight or Tableau to enhance existing ways of work for category leaders, vendor managers, finance partners, and stakeholder partner teams.• Challenging existing process and work streams with data-driven insights that offer alternatives that are cost neutral, or favorable, but drive much more scalable execution.• Partnering across Consumables teams as well as central teams to create an intelligence roadmap that addresses core areas for automation, scale, and business financial productivity.• Scaling roadmap and solutions across categories by ensuring cross-company impact is measured and supported by stakeholder businesses.• Understanding the value chain within the broader Amazon.com site experience to inform new insights on customer engagement.• Developing a knowledge repository for Consumables data intelligence as part of an evolving center of excellence that can be referred to outside of US Consumables.BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience writing complex SQL queries- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

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 Senior Business Analyst with broad technical skills to develop data visualizations and build automation solutions that drive business decision making and process improvement. The ideal candidate will draw upon advanced analytical, problem solving skills, and passion for delivering business insights and analytics. We look for candidates who are excellent communicators, self-motivated, flexible, hardworking, and who like to have fun.The complexity of research and skills for a (Senior) Business Analyst is well beyond basic data entry and extraction. It involves design and development of automated data pipelines, sophisticated analytical modeling and intuitive data visualization. This role will directly be responsible for maintaining front end code using Python, SQL, HTML, Java, and R, or other similar coding languages. Proficiency in the aforementioned languages is not required, but an ability to be a quick learner and gain proficiency is required for a successfully candidate. This role will have high level visibility due to the nature of the toolsets being maintained, built, and the network impact of analysis conducted. This role has great exposure to a broad scope that can really help shape the future of operational fulfillment and promotes career progression.Key job responsibilities- Provide data management processes such as accessing raw data feeds, building queries and macros, writing VBA code, organizing data and designing reports that present status-at-a-glance visualization for business performance.- Retrieving and analyzing large sets of data using Excel, SQL, and other data management systems.- Designing and implementing reporting solutions to enable stakeholders to manage the business and make effective decisions.- Taking ownership of reporting processes to ensure that each report is accurate and timely with a high degree of customer focus in resolving data discrepancies.- Building and managing related key performance indicators (KPIs) to measure, control, and benchmark reporting processes.- Monitoring existent metrics, building new metrics, and partnering with internal teams to identify process and system improvement opportunities.- Supporting cross-functional teams on the day-to-day execution of the existent program implementation.- Generating complex queries to dive deep on process issues- Innovating to improve customer experienceBASIC QUALIFICATIONS- Bachelor's degree- Experience in writing SQL queries and creating business intelligence reports using Tableau, Power BI- 5+ years of tax, finance or a related analytical field experience- Experience with Excel- Experience making business recommendations and influencing stakeholders- Experience with QuickSight dashboard and visual creation ...

The Seller Insights and Planning team’s mission is to create an ecosystem within Fullfilled By Amazon (FBA) where sellers can thrive and delight customers. We achieve this through eliminating defects that increase seller costs, planning our investment strategy into under-penetrated segments, and orchestrating multi-year worldwide initiatives that span across business, technology and operations. As a Sr Business Analyst, you will play a pivotal role in converting data into actionable business insights that solve complex, high-impact problems, and enhance the success of WW FBA sellers. By leveraging data, you drive operational efficiencies, provide key data-driven insights, enable new opportunities and innovate on behalf of sellers. This role requires you to present complex information in an accessible format to leadership, answering key business questions. Beyond executing required skills, you will also influence, educate, and drive results in a fast-paced, ambiguous environment. Key job responsibilities- Proactively evaluate WW FBA business performance to identify areas of opportunity, define the analytical requirements needed for further deep dive, and present summarized findings to senior leadership. - Partner with WW FBA stakeholders to develop and align on business metrics, automated reporting structures, and process improvements to meet business requirements. - Aggregate data from multiple sources related to WW FBA seller performance, customer feedback, and operational metrics and compile it into a digestible and actionable format.- Directly perform adhoc analysis to determine the root cause issues of ambiguous systemic challenges at the request of senior leadership. Participate in strategic and tactical planning discussions. A day in the lifeBachelor's degree in a quantitative field 5+ years of writing advanced SQL queries 5+ years of business analyst, data analyst or similar role experience5+ years of Excel (pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau or Power BI Experience defining requirements to achieve complex business solutionsAbility to transform data and metrics into visualizations and summaries for L10+ audiencesProficient written and verbal communication skills with comfortability presenting to L10+ audiencesBASIC QUALIFICATIONS- Bachelor's degree in business or analytical discipline- 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- 5+ years of Excel or Tableau (data manipulation, macros, charts and pivot tables) experience- 5+ years of business analyst, data analyst or similar role experience- Ability to transform data and metrics into visualizations and summaries for senior leader audiences ...