Business Intelligence

Quick: A seller is listing a new product on Amazon. They report the product normally lists for $89.99 and that they're selling it for $50. What should Amazon do with this information? Is this price gouging or a terrific price?This is a difficult problem...and it happens more than 2 billion times per day!The WW Pricing CX within the Price Perception and Evaluation Org, is looking for a seasoned Senior Business Intelligence Engineer (Sr. BIE) to help us build, report on and analyze metrics for our business, we support all Amazon programs and geographies worldwide.In this role, you will lead efforts to identify and drive projects to increase Amazon’s understanding and influence of pricing. You will develop regular business reporting to baseline current performance and deepen our insights across customer segments and product types. You will help to establish measurements that will be used when running experiments to measure the impact of the experiments on price perception. You will help to influence the development of new models that will influence the way we display products. You will collaborate across teams to develop capacity reporting for project and operational overhead for existing and emergent work-flows. You will help define the data pipeline and self-service tools and driving insights for Pricing CX shown on Amazon. These Pricing CX provide contextual information to Customers about pricing. You will present your work in a variety of forums, including documents that will be reviewed by L10+ stakeholders.The ideal candidate is a motivated self-starter that can work independently in a fast paced, ambiguous environment with limited supervision. You must be a fast learner who can quickly absorb the nuances of Amazon's varied pricing programs and processes. You need to be analytical in your decision making, with a demonstrated ability to drive issues to completion.The position is located in Seattle, WA.As part of this role you will -- Work closely with the partner BIEs, data engineers, PMs, econ and ML teams to identify and address issues and opportunities.- Facilitate and participate in the Price Perception BIE sprint planning and execution process- Analyze key metrics to uncover trends and root causes of issues, answer business questions on key Pricing CX trends worldwide, but also to ask the right ones.- Build metrics to measure key inputs and output metrics that drive Amazon price perception- Develop deep dive tools for key metrics.- Setting the standard in business intelligence for the organization, establishing best practices, and aligning teams and orgs toward simple, coherent approaches.BASIC QUALIFICATIONS- 5+ years of professional or military experience- 5+ years of SQL experience- Experience with theory and practice of design of experiments and statistical analysis of results- Experience in scripting for automation (e.g. Python) and advanced SQL skills.- Experience building measures and metrics, and developing reporting solutions- Experience programming to extract, transform and clean large (multi-TB) data sets ...

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.Key job responsibilities• You will utilize your deep expertise in business analysis, metrics, reporting, and analytic tools/languages like SQL, Excel, and others, to translate data into meaningful insights through collaboration with scientists, software engineers, data engineers and business analysts. • You will have end-to-end ownership of operational, financial, and technical aspects of the insights you are building for the business, and will play an integral role in strategic decision-making.• Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership• Produce written recommendations and insights that will help shape effective metric development and reporting for key stakeholders• Simplify and automate reporting, audits and other data-driven activities• Partner with Engineering teams to enhance data infrastructure, data availability, and broad access to customer insights• To develop and drive best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation• Learn new technology and techniques to meaningfully support product and process innovationBASIC QUALIFICATIONS- At least 4+ years of experience using SQL to query data from databases/data warehouses/cloud data sources/etc. (e.g., Redshift, MySQL, PostgreSQL, MS SQL Server, BigQuery, etc.).- Experience with data visualization using Tableau, Quicksight, or similar tools.- Bachelor’s degree in Statistics, Economics, Math, Finance, Engineering, Computer Science, Information Systems, or a related quantitative field.- Ability to operate successfully and independently in a fast-paced environment.- Comfort with ambiguity and eagerness to learn new skills. ...

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.We are looking for a talented Data Engineer to join the Manufacturing Operations, Transportation Operations, and Reverse (MOTOR) organization in support of our Supply Chain Intelligence team. MOTOR manages the manufacturing of datacenter racks and the movement of racks/parts through the supply chain, consisting of transportation, warehousing, and reverse logistics into and out of the data centers. This role performs helps connect the different systems across the supply chain together so operational teams have clean, actionable data to work with. This requires someone with strong analytic skills and business acumen who can work with stakeholders on strategic projects across MOTOR. The ideal candidate relishes working with large volumes of data, enjoys the challenge of highly complex technical contexts, and, above all else, is passionate about data and analytics. Must be an expert working with data modeling with un/structured data, ingestion pipelines and ETL design and business intelligence tools with the business to identify strategic opportunities where improvements in data infrastructure creates out-sized business impact. Candidate is a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail), mentors other engineers in team on high quality tech, and enjoys working in a fast-paced team. Candidate will have a chance to architect the data pipelines needed for optimization and predictive analysis. We're excited to talk to those up to the challenge!Key job responsibilities- Build and maintain the infrastructure to answer questions with data, using software engineering best practices, data management fundamentals, data storage principles, recent advances in distributed systems, and operational excellence best practices. Build datasets that analysts and scientists use to generate actionable insights.- Define the data engineering processes that leverage various AWS services to improve accessibility, redundancy, data integrity, cost, and storage requirements.- Develop high quality solutions for the faster development of the products/models that solve the business needs in a scalable format, while also anticipating future requirements.- Collaborate with Research/Applied Scientists, Data Engineers, Business Intelligence Engineers, Data Scientists, Business Analysts, and Product/Program Managers to understand the business and technical requirements, and make decisions that help make the products/programs smoother. - Interface with other technology/data engineering teams to extract, transform, and load data from a wide variety of data sources using and AWS data technologies.- Lead the technical design and implementation of the data infrastructure.- Design and manage data audit, quality, and reconciliation processes in collaboration with various stakeholders.About the team*Why AWS*Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.*Diverse Experiences*Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.*Work/Life Balance*We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.*Inclusive Team Culture*Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.*Mentorship and Career Growth*We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.This team provides data engineering and business intelligence engineering services to the rest of MOTOR. We are the data experts behind the scenes helping the operational teams focus on operations by ensuring they have accurate, timely data and provide business insights to help improve operational excellence.BASIC QUALIFICATIONS- 1+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)- Experience with one or more scripting language (e.g., Python, KornShell) ...

Conversational search shopping team is looking for an innovative, hands-on and customer-obsessed Business intel engineer. Candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, excellent technical skills and should be able to juggle multiple tasks at once.Key job responsibilitiesIdeal candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience and get the right things done.This job requires you to constantly hit the ground running and have the ability to learn quickly. Primary responsibilities include defining the problem and building analytical frameworks to help the operations to streamline the process, identifying gaps in the existing process by analyzing data and liaising with relevant team(s) to plug it and analyzing data and metrics and sharing update with the internal teams.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 ...

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 ...

FBA organization is looking for a customer focused, analytically and technically skilled business intelligence engineer to support the Inventory Optimization organization's analytic needs.This position will be part of the business analytics team responsible for building out analysis, visualization tools and processes for the FBA FIO businesses. The successful candidate will be able to retrieve, integrate, visualize and present critical data in a format that is immediately useful to improve the business decision process. This role requires an individual with excellent analytical abilities, deep business acumen and comfort with technical teams and systems. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and enjoying working with large scale of data.Key job responsibilitiesa. Collaborate with research sciences, product and technology teams in driving step function changes towards influencing seller experience improvements.b. Collaborate with senior leadership to implement advanced analytics algorithms and model evaluation framework across Capacity and Inventory Management domainsb. Own analytics for key domains across inventory optimization services and deliver self-service analytics at scalec. Own data governance and stewardship for business critical metrics that influence technology investment decisionsd. Analyze and visualize transaction data to determine seller behaviors, and output solid analysis with recommendations.e. Create scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation.f. Lead projects from start to finish including project management, data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.g. Develop queries, statistical analysis, and visualizations for ad-hoc requests and projects, as well as ongoing reportingBASIC 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 has the world’s most complex supply chain: we fulfill global demand for hundreds of millions of products at lightning fast delivery speeds. We need your skills to optimize our supply chain, with the end goal of delighting our customers. A core part of the supply chain operations is Demand and Inbound Forecasting: We forecast the demand and arrival of tens of millions of products. The forecasts are used to make many decisions, such as automatically order hundreds of millions worth of inventory, decide where to place that inventory, and establish labor plans for WW warehouses.We are looking for a Sr. Business Intelligence Engineer to lead the development of new tools to monitor and improve forecast health. You will do this by detecting, diagnosing and correcting forecast problems and generating metrics and insights. You will have the resources and tools to help you deliver this mission and support from partner teams like Data Engineering/Data Science/Product.A successful candidate will be customer obsessed - the Forecasting org has 50+ unique customers. You will need to balance long-term thinking with short-term actions. You will be comfortable navigating an ambiguous environment, know how to confirm and reconfirm assumptions, and be able to harmonize disparate points of view.Key job responsibilities- Develop solutions that utilize the highest standards of analytical rigor with data integrity to provide reporting against large, multi-dimensional datasets and multiple sources- Partner with scientists, engineers, product managers, and program managers to build and productionize forecasting metrics; perform analysis to identify the root cause of issues and generate actionable insights to guide the appropriate solution- Engage stakeholders in constructive dialogues to convert business problems into logic problems that can be solved with data, statistics, and scripting- Build internal and customer-facing dashboards to provide metrics and convey insights which highlight forecast performance and explain variance- Manage and execute entire projects or components of large projects from start to finish including project management, data gathering and manipulation, data modeling and finding synthesis, and communication of insights and recommendations- Mentor team members by coaching them on the analytics lifecycle, including identifying the optimal analytical method, building and automating the solution, and generating insights from the resultsA day in the life- Engage regularly with customers to identify and prioritize forecast improvement opportunities- Define and deliver a long-term vision to solve the customer's problems and improve forecast accuracy- Lead the definition and governance of key business metrics, and engineer data-driven processes that drive business value- Create and foster an environment that values and promotes an inclusive approach to problem solving and continuous learningAbout the teamWe are ASIN Forecasting Analytics Team. We monitor the ASIN demand and inbound inventory forecasts for Amazon Businesses WW. We report on historical forecast performance, the changes of future forecasts, and the health of future forecasts. We develop intervention models to correct forecasts when defects exist or for scenarios that are not addressed adequately by core models. In addition to forecast accuracy, we help manage forecast volatility.We partner with stakeholder teams to assess the future forecast against existing supply conditions. BASIC QUALIFICATIONS- 7+ years of professional or military experience- 6+ 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 in scripting for automation (e.g. Python) and advanced SQL skills.- Experience with theory and practice of design of experiments and statistical analysis of results- Experience with theory and practice of information retrieval, data science, machine learning and data mining- Experience with AWS technologies- Master's degree in statistics, data science, or an equivalent quantitative field- Experience managing, analyzing and communicating results to senior leadership ...

Seller Partner Services (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.The Localization & Language Expansion Team (LELI) develops high-quality, user-centered content for the companies and individuals who sell goods and services through Amazon, and for the team that helps sellers when they contact Seller Support.The team's goal is to deliver/localize content that provides Selling Partners and Customers a direct path between an issue and it’s resolution, by providing timely and helpful documentation in 27 languages across 19 stores.The team is looking for a talented, driven, self-directed Business Analyst to join an organization that is responsible for the success of implementation of content management programs. This person will be responsible for ensuring we meet our key deliverables, on time with high quality, and communicating status to internal and external stakeholders. This person will also help provide the analytics and insights to improve the process for building our tools on a global scale. This Business Analyst must have advanced proficiency in SQL, statistical analysis and Excel (including Pivot Tables, dynamic dashboards, array functions, Power Pivots, VBA, etc.) and can build instrumented dashboards for impact analysis and reporting.Also has program management skills to work closely with the Product Managers, process engineering, Operations and Customer Excellence teams on process improvement initiatives, root cause analysis and A/B testing. Successful candidates will have a strong analytical skills, program management background, be detail oriented, and have excellent problem solving abilities. The candidate should also have strong communication and project management skills, enabling them to work with key business stakeholders to understand requirements and shape analytical deliverables. He/she should also have a demonstrated ability to think strategically and analytically about business, product, and technical challenges, with the ability to work cross-organizationally.Key job responsibilitiesThis role is requiring an individual who thinks big and will build reporting capability for Localization and Language Expansion analytics. The ideal candidate for this role will should be:Able to proactively identify problems with significant business impact; facilitate analysis to identify problems and opportunities.Work with team leadership to understand the customer needs and concerns as well as define solutions.Translate basic business problem statements into analysis requirements. Work with internal customers to define best output based on expressed stakeholder needs.Use analytical and statistical rigor to solve complex problems and drive business decisions.Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.Write queries and output efficiently, and have in-depth knowledge of the data available in area of expertise. Pull the data needed with standard query syntax; periodically identify more advanced methods of query optimization. Convert data to make it analysis-ready.Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.Monitor and troubleshoot operational or data issues in the data pipelines.Review and audit existing ETL jobs and SQL queries.BASIC QUALIFICATIONS- 3+ years of tax, finance or a related analytical field experience- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- 3+ years of business or financial analysis experience- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders- Experience with Excel ...

How often have you had an opportunity to be a member of a team that is tasked with resolving customer needs through disruptive and innovative technology? Everyone on the team needs to be entrepreneurial, wear many hats and work in a fast-paced, ambiguous, and highly collaborative environment that’s more startup than big company. If this sounds intriguing, then we’d like to talk to you about a role in the WWDE - Concessions Analytics team. This team is focused on the customer remediation experience, building technology to identify and personalize the concessions experience for customers. To continue providing the best resolution options for customers, we seek a passionate, results-oriented, Business Intelligence Engineer (BIE). The Business Intelligence Engineer will partner with Software Developers, Data Engineers, , Program & Product Managers to provide insights on customer feedback, create key performance indicators for our products, and assist in feature engineering and pipeline development. The ideal candidate has strong business judgment, organization skills, backbone, experience measuring product performance, and collaborates well with product owners to answer key questions. The operating environment is fast paced and dynamic, however has a strong team spirited and welcoming culture. To thrive, you must be detail oriented, enthusiastic and flexible, in return you will gain experience in one of Amazon's core businesses.Key job responsibilities - Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. - Partner with operations/business teams/economist/machine learning (ML) teams to consult, develop and implement key performance indicators (KPI’s), automated reporting/process solutions and data infrastructure improvements to meet business needs. - Develop the end-to-end automation of pipelines for applications and ML models - Apply analytic skill to extract meaningful insights and learnings from large and complicated data sets. - Serve as liaison with Business and technical teams to achieve project objectives, requiring data gathering, problem solving, modeling, and communication of insights and recommendations.A day in the lifeIf you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! Benefits Summary:Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:1. Medical, Dental, and Vision Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) PlanBASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience writing complex SQL queries- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Bachelor's Degree ...

Join Amazon's Global Logistics team as a Business Intelligence Engineer and help shape the future of our cross-border logistics capabilities. You'll build cutting-edge analytical solutions and data automations that drive efficiency and reliability in our import operations. This role offers a unique opportunity to work with a diverse, global team and make a significant impact on Amazon's supply chain.Key job responsibilities- Design and develop scalable data warehouse solutions and pipelines- Create complex data processing jobs using SQL, Python, and AWS technologies- Collaborate with stakeholders to understand business needs and deliver insights- Conduct advanced data analyses to support decision-making processes- Implement best practices in reporting, analysis, and documentationA day in the lifeYour day begins with a virtual stand-up meeting, connecting with team members across the US and Europe. You dive into analyzing a complex dataset related to import shipment delays, using your SQL and Python skills to uncover insights. By midday, you're collaborating with logistics program managers to translate these findings into actionable recommendations. In the afternoon, you're fine-tuning a Redshift query to improve dashboard performance, then jumping on a call with the data engineering team to discuss integrating a new data source. You conclude your day by documenting your progress and outlining priorities for the following day, ensuring continuous advancement of the team's analytical capabilities.About the teamThe Global Logistics Analytics team is a dynamic group of data enthusiasts dedicated to enhancing Amazon's cross-border logistics. We leverage world-class technologies and internal solutions to increase product selection and reduce costs for customers. Our team thrives on complexity, values continuous learning, and is passionate about using data to drive business decisions.Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan Learn more about our benefits here: https://www.amazon.jobs/en/internal/benefits/us-benefits-and-stockBASIC QUALIFICATIONS- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- 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)- Experience with building and maintain basic data artifacts (e.g. ETL, data models, queries) ...

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

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

Amazon.com’s Buyer Risk Prevention (BRP) mission is to make Amazon the safest and most trusted place worldwide to transact online. Amazon runs one of the most dynamic e-commerce marketplaces in the world, with nearly 2 million sellers worldwide selling hundreds of millions of items in ten countries. BRP safeguards every financial transaction across all Amazon sites. As such, BRP designs and builds the software systems, risk models and operational processes that minimize risk and maximize trust in Amazon.com. BRP organization is looking for a Business Analyst for its In Region support team. The team is being grown to provide insights and support for BRP in our emerging marketplaces and provide analytical solutions to help drive operational efficiencies, uncover the hidden risks and trends, reduce investigation errors and bad debt, improve customer experience and predict & recommend the optimizations for future state of BRP buyer abuse in each country. Key job responsibilitiesAs a Business Analyst, you will be responsible for modeling complex problems, discovering insights and identifying opportunities through the use of business intelligence, data mining and visualization techniques. You will need to collaborate effectively with internal stakeholders and cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. The candidate 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 present the insights in concise and effective manner. Additionally, the candidate 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: - Use analytics and data mining techniques to solve complex problems and drive business decisions. - Employ the appropriate tools, methodologies to discover patterns of risks, abuse and help reduce bad debt - Design experiments, test hypotheses, and build actionable models to optimize BRP in a specific country - Solve analytical problems, and effectively communicate methodologies and results - Build analyses for product launches - Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies - Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus areaBASIC 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 ...

Amazon Ads is Hiring! Amazon Advertising is dedicated to driving measurable outcomes for brand advertisers, agencies, authors, and entrepreneurs. Amazon Advertising seeks the world's brightest and best talents to lead next-generation solutions that enable advertisers to reach customers across our owned and operated sites, on other high-quality publisher sites across the web, and on millions of desktops, mobile, and connected TV devices. We start with the customer and work backwards in everything we do, including Advertising. We seek candidates who want to join a team focused on building large-scale systems that integrate across multiple sources to provide unique advertising products. These products will provide sales enablement to the sales team to drive advertisement business’s growth. As a Sr.Business Intelligence Engineer, you will mine large amount of data, build metrics and drive customer adoption. You will play a leadership role in our team – the team will look to you for advice on analytical and business problems. You will work closely with customers, product managers, and engineers to drive automated analytics, reporting and decision making. If you love working with huge data sets and delivering the insights you discover through business intelligence reporting, then this is the job for you. If you enjoy dealing with high ambiguity, complexity and broad scope that will be at the epicenter of our initiative, come join us!What does it take to succeed in this role? Excited by the scale at which we work. A roll-up-your- sleeves attitude. You should be a self-starter who loves working with Business Intelligence tools and thrives on dealing with the intricate complexity of large data sets. You are analytical and creative and you don’t quit.Key job responsibilities• Analyze data to find actionable insights that lead to business insights and opportunities.• Build dashboards and custom reports to track performance and investigate key business questions.• Engage with diversified customer groups to understand their needs and deliver business intelligence solutions.• Partner with Data engineers to define the data elements that the team should leverage to enable capabilities.• Recommend new metrics, techniques and strategies to improve the operational and quality metrics.• Recognize and adopt best practices in reporting and analysis: data integrity, validation, and documentation.A day in the life• Empathize with the customer and understand their problems and needs.• Dive deep to find the root cause of the problem and suggest solutions (short/mid/long term).• Perform benefits and tradeoff assessment to assess the best solution considering the timeline and available resources.• Collaborate with the tech team and bring the solutions to life (build world class products).• Participate in the tech discussion and ensure that the product is scalable and sustainable.• Connect with the customer throughout the product lifecycle and ensure we exceed their expectation.About the teamHighly cross functional team that has product managers, business intelligence and full stack engineers who collectively collaborate to solve the problems faced by customers. We thrive by brainstorming and bouncing off solutions that transform the lives of our customers.BASIC QUALIFICATIONS- 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 ...

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 ...

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

Conversational search shopping team is looking for an innovative, hands-on and customer-obsessed Business intel engineer. Candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, excellent technical skills and should be able to juggle multiple tasks at once.Key job responsibilitiesIdeal candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience and get the right things done.This job requires you to constantly hit the ground running and have the ability to learn quickly. Primary responsibilities include defining the problem and building analytical frameworks to help the operations to streamline the process, identifying gaps in the existing process by analyzing data and liaising with relevant team(s) to plug it and analyzing data and metrics and sharing update with the internal teams.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 ...

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

Amazon Robotics 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 that work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we can’t even imagine yet. 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.Our Team The Amazon Robotics Sortation Analytics team discovers insights in vast and varied robotic data to help our engineering teams understand how their technologies operate across Amazon’s network of warehouses. We collaborate with designers, software and hardware engineers, and operations teams to understand product requirements, make feature trade-offs, design, and operate new applications of Amazon Robotics technology. We conduct relevant, insightful analysis and communicate the results through white papers and presentations. Our methods include design of experiments, statistical modeling, machine learning, financial analysis, and data visualization.Key job responsibilitiesWhat You Will Do You will collaborate cross-functionally with engineering teams, program managers, and leaders throughout the organization to deliver projects aimed at characterizing and improving the performance of new robotic automation technology in Amazon's network of warehouses. In this role, you will use a combination of unified and disparate data sources to uncover insights delivered through decision-driving analytics white-papers and automated data visualizations to influence the development and deployment of cutting edge robotic technology. You will collaborate with Data Scientists, Data Engineers, and Program Managers to define and deliver world class analytics tools and insights to shape the robotic technology landscape. What We Are Looking For A jack-of-all-trades data professional with a passion for delivering insightful and influential solutions to challenging and ambiguous problems. A practiced analyst, who uses data engineering, statistics, data visualization, and data science to influence decision making in cross-functional teams. We are seeking someone who can think holistically through compound problems to understand how systems work together to define and execute projects which drive improvements to robotic architecture or design. A day in the lifeAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 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 teamThe Amazon Robotics Business Intelligence, Analytics, and Data Science team discovers insights in vast and varied robotic data to support decision-making for engineering and operations customer teams. We collaborate with designers, software and hardware engineers, and operations teams to understand system performance, make feature and design trade-offs, and inform decisions on new applications of Amazon Robotics technology. We conduct relevant, insightful analysis and communicate the results through white papers and data visualizations. Our methods include design of experiments, statistical modeling, machine learning, financial analysis, and data visualization.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 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- 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 ...