Business Intelligence

Amazon is seeking a business intelligence engineer for a high visibility role supporting Prime Video Advertising. This role sits within the finance & strategy org, and provides opportunities for impactful contributions to the Prime Video business. Business intelligence engineers partner with finance, strategy, and other stakeholders to solve complex problems, including, reporting & tooling automation, business analysis, and strategic planning. This role will oversee reporting and analysis of Prime Video FreeVee, and other ads related products. - Partner with Finance and Strategy managers to design reports and analyses which answer important business questions. - Build impactful, scalable data pipelines and automated reporting products. - Produce meaningful, timely, and actionable analyses to inform sports business decisions.- Design and implement metrics to measure effectiveness of new products. - Work with data engineers, economists, and product managers to optimize PV reporting and analysis infrastructure and operations. 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 ...

Do you love solving problems whose solutions make the world a better place? As the Amazon Community Impact team, we lead philanthropic initiatives for leveraging Amazon's assets for good, concentrating on the pillars of Education, Housing Equity, Disaster Relief, Food Security, and support for employees and teams volunteering in our communities. https://www.aboutamazon.com/impact/communityAs a Data Engineer you will work in a small, highly collaborative, results-oriented tech team (BIEs, DEs, SDEs), and will be partnering with Product and Program Managers, in a environment that leverages agile planning techniques. The successful candidate will write high-quality code, and work with various stakeholders to design, implement, and support a scalable data infrastructure for business intelligence and analysis, balancing and aligning their requirements with the team long term data vision. We are looking for an engineer who is comfortable working through ambiguity and is a creative problem solver. And, of course, has a passion for the community.Key job responsibilitiesAs a Data Engineer, you will design, develop and enhance scalable data systems and pipelines supporting Amazon's ability to scale our work with community partners, and to measure the activity and impact globally. You will build conceptual data models to harmonize disparate data sets, and technical solutions that scale across use cases. You will become a subject matter expert for community, impact and charitable giving data pipelines across dozens of internal and external data streams, while striving for efficiency by aligning data systems and data management approaches with organizational needs. You will collaborate with other data engineers, software developers, business intelligence engineers as well as program and product partners to deliver end to end solutions that meet business goals. You will work with your internal customers to balance customer requirements with team requirements and develop data solutions to help your team and business evolve.A day in the lifeYou'll be part of a bigger tech team (SDEs, DEs, and BIEs) joining all their ceremonies, starting with the sprint planning, dailies, demos and retrospectives.The ACI team has created and launched the following projects as part of their day to day, with our tech owners playing a key role. We look forward to hearing your ideas for what could be next:Disaster Relief by Amazon: https://www.aboutamazon.com/news/community/amazons-disaster-relief-doesnt-end-with-donationsFood Security: https://www.aboutamazon.com/impact/helpforhunger Donations Hub:https://business.amazon.com/en/discover-more/blog/donationshubMeet an Amazonian:https://www.aboutamazon.com/news/community/amazon-employees-share-their-stories-to-spark-student-curiosity-in-techBASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL ...

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 ...

AWS is one of Amazon’s largest and fastest growing businesses, serving millions of customers in more than 190 countries. We use cloud computing to reshape the way global enterprises use information technology. We are looking for entrepreneurial, analytical, creative, flexible leaders to help us redefine the information technology industry. If you want to join a fast-paced, innovative team that is making history, this is the place for you.The AWS Finance Analytics and Science Team (FAST) team is responsible for many of the key functions needed by the AWS global sales organization, including building and operating the data resources that provide the AWS sales organization with insights into all areas of business performance. The successful candidate will be an expert with SQL, ETL (and general data wrangling), and have exemplary communication skills. The candidate will need to be comfortable with ambiguity in a fast-paced and ever-changing environment, and able to think big while paying careful attention to detail. The candidate will know and love working with business intelligence tools and can partner with customers to answer key business questions.Key job responsibilities· Work with business customers to gather requirements and deliver complete data analytical solutions· Learn why customers are asking for data and what their underlying questions and business goals are· Own the design, development, and maintenance of ongoing metrics and analyses used to drive key business decisions· Recognize and adopt best practices, including data integrity, accuracy, and reliability, as well as documentation· Drive data democratization throughout the organization, enabling others to self-serve their data needsBASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

Amazon 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 ...

Amazon’s global fulfillment network enables any merchant to ship items that are ordered on Amazon to any place on earth. There is a complex network of ways in which items move between vendor locations, Amazon warehouses, and customer locations as well as several intermediate locations through which packages travel before reaching the customer. With a scale of millions of packages, each with different attributes and delivery requirements, what results is a highly dense graph of nodes.We have built a highly respected BI and Data Engineering team which is focused on solving complex problems in worldwide transportation using workflows, optimization algorithms, and machine learning systems. These are large-scale distributed systems handling millions of packages being shipped through the Amazon logistics network.As a Business Intelligence Engineer, you will develop datasets, dashboards, reports, and visualizations using BI tools, and provide data-driven recommendations to support strategic planning within Amazon Shipping. Additionally, you will deliver across planned projects that will improve overall cost and profitability for the business.Key job responsibilitiesData Management and Integration: Collect, process, and manage large datasets from various sources, ensuring data accuracy, consistency, and accessibility.Data Analysis: Analyze complex data sets to identify trends, patterns, and insights that can inform business decisions.Reporting and Visualization: Develop and maintain dashboards, reports, and visualizations to present data insights in an understandable and actionable format.Stakeholder Collaboration: Work closely with stakeholders to understand their data needs, provide data-driven recommendations, and support strategic planning.Tool and Technology Utilization: Utilize and stay updated with the latest BI tools and technologies to enhance data analysis and reporting capabilities.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 ...

Love science and data? So do we! The Alexa Devices, Sales & Marketing organization is looking for an experienced Data Engineer to deliver solutions that help deepen our understanding of customers. You will be joining the Alexa Marketing Science (AMS) team, whose mission is to surface timely, scientifically-grounded insights about customers to guide marketing and product leaders.The ideal candidate has excellent technical skills, analytical abilities, written and verbal communication skills, and the ability to influence cross-functional teams. They are an expert with SQL, ETL, Tableau (or similar data visualization tools) and have an ability to quickly translate business requirements into technical solutions. The candidate is a self-starter and team player and able to think big while paying careful attention to detail.As a Data Engineer, you will be working in one of the world's largest and most complex data warehouse environments using the latest set of tools. We help marketing and product teams in Alexa Devices understand our customers by providing data and metrics that provide insight into user experience. Our team is responsible for mission critical research and analytical reports and metrics that are viewed at the highest levels in the organization. We are also working on near-real-time analytics using the latest set of tools for data visualization and investing in Big Data technologies. You should have deep expertise in the design, creation, management, and business use of extremely large datasets, as well as data security and privacy standards and best practices.The role offers a unique opportunity to manage and build new data storage, pipelining, and visualization solutions from the ground up. You should possess high attention to detail, have excellent communication skills, resourceful, customer focused, team oriented, and have an ability to work independently under time constraints to meet deadlines. You will be comfortable thinking big and diving deep. A proven track record in taking on end-to-end ownership and successfully delivering results in a fast-paced, dynamic business environment is strongly preferred. Above all you should be passionate about working with large data sets and someone who loves to bring datasets together to answer business questions and drive change.Key job responsibilities· Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using AWS services and internal BDT tools· Implement data structures using best practices in data modeling, ETL/ELT processes, and SQL, Redshift, and OLAP technologies to support research needs· Interface with researchers and business stakeholders, gathering requirements and support ad-hoc data access to large data sets· Build and deliver high quality data sets to support research scientists and customer reporting needs· Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers· Become a subject matter expert on Alexa and Amazon data sources relevant to Alexa marketing researchers’ use cases, and assist non-technical stakeholders with understanding and visualizing data· Educate the team on best practices for upholding data security and data privacy standards· Maintain clear and consistent documentation of relevant data sources and code frameworksAbout the teamThe Alexa Marketing Science (AMS) team is a team of Research Scientists and UX Researchers that surfaces timely, scientifically-grounded insights about customers to guide marketing and product leaders.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS ...

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

The Intelligent Talent Acquisition (ITA) organization develops data solutions for all aspects of hiring across Amazon. Joining ITA is your opportunity to make an impact across multiple layers of the company and the workforce. Amazon’s mission is to be the most customer centric company in the world and ITA supports our Talent Acquisition (TA) organization of the mission by hiring hundreds of thousands of hourly associates and corporate employees across multiple types of roles and businesses.Key job responsibilities1. Able to coordinate and understand the interaction between business metrics, UX interaction and adoption data, and the resilience and monitoring of our technical platform2. Skilled at generating insights that support product managers, designers and software leaders in their quest to deliver products customers love3. Create stories with data in QuickSight or related tools that recognize patterns and trends4. Work with data from disparate systems and storage mechanisms including Adobe Analytics, KTAL, RUM, CloudWatch and Pendo5. Advise on areas of opportunity in forums like monthly business reviews, quarterly planning and monthly team meetings6. Interpret and advise on A/B testing data, using classical or Bayesian statistics7. Familiarity with LLM-supported analytics tools and methodsA day in the lifeAs a Business Intelligence Engineer, you will generate insights that will guide operational excellence, business strategy, and success for our products focusing on Candidates across Recruiting. Data analysis is at the core Amazon’s culture, and your work will have a direct impact on decision making and strategy for our organization. You will be gathering customer insights, mining data, making recommendations, and helping senior leaders make key business decisions. You will have the opportunity to work with large and diverse data sets to gather insights using data from across AWS Infrastructure.About the teamOur Data team enables Technical Product Managers, Software Development Managers and Engineers to measure success of their Hiring tools, improve it and innovate. Come help us hire the best, build great tools for our hiring managers and recruiters, and help the millions of candidates applying and visiting our career portal (people like you!) find their next amazing opportunity. BASIC QUALIFICATIONS- 4+ 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 Global Risk Management & Claims team is seeking a highly skilled and detail-oriented Business Analyst with a robust background in economic theory, auto claims management, and data analytics. The ideal candidate will possess an in-depth understanding of insurance claims processes, a keen interest in economic principles, and proficiency in dissecting complex datasets. As a Business Analyst, you will play a pivotal role in extracting valuable insights from claims data, employing economic theories to evaluate risk factors, utilizing data metrics to optimize our claims management processes, and providing strategic recommendations to key stakeholders.Key job responsibilities- Partner with cross functional business teams to consult, develop and implement metrics, automated reporting/process solutions, and process improvements to meet business needs.- Apply economic theories and models to assess claims trends, evaluate risk factors, and predict future claim performance.- Conduct in-depth economic analyses to evaluate the financial impact of claims and recommend cost-effective strategies for claims resolution.- Utilize advanced data analytics techniques to evaluate large and complex claims datasets.- Generating actionable insights through the development of key performance metrics, dashboards and analytics.- Identify opportunities for process improvements and automation within the organization.A day in the lifeIn this role, the Business Analyst will partner with key stakeholders to dive deep into business challenges and loss trends, aiming to unearth crucial insights. The ideal candidate will cultivate partnerships across various business lines to gather business requirements, develop metrics and reporting, establish key performance indicators for third-party vendors, deliver actionable insights to mitigate financial and operational risks. This position demands an adaptable individual with exceptional analytical skills and strong business acumen. The ideal candidate is customer obsessed, both internally and externally, and will work back from the customer to meet business objectives.BASIC QUALIFICATIONS- Bachelor's degree- 5+ years of tax, finance or a related analytical field experience- 3+ years of Excel or Tableau (data manipulation, macros, charts and pivot tables) experience- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders- Experience in Casualty Insurance claims management. ...

Senior Business Intelligence Engineer Come build the future as a Senior 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 Senior 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 Senior 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 responsibilitiesYou 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; build solutions to have maximum scale and self-service ability by stakeholders• 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- 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 ...

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.Amazon Web Services (AWS) is the world leader in providing a highly reliable, scalable, low-cost infrastructure platform in the cloud powering hundreds of thousands of businesses in hundreds of countries around the world. As part of the AWS Infrastructure organization, Data Center Planning and Delivery (DCPD) prepares for, plans, and builds the data centers that comprise the AWS cloud.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 seeking a highly skilled and motivated Business and Data Analyst in Seattle, WA to manage and solve business critical problems using requirements analysis, build data reports/ dashboards to deliver financial insights to the business. This role has direct impact on the day-to-day decision making of large-scale capacity delivery and financial programs.This role drives operational excellence, by: 1) deep diving critical financial insights and data, 2) identifying solutions to streamline current processes and visualizations, and 3) using knowledge of infrastructure projects and financial insights to advise or influence business decisions that have cross-region impact. You must be highly analytical and possess a strong passion for analytics and accountability, set high standards with a focus on superior business success you must also have a passion for process improvement and constantly looking for ways to work more efficiently. You will use your judgment, analytical talent, technical aptitude, and leadership to collaborate with a diverse set of stakeholders across multiple time zones, design solutions, remove blockers, and find creative ways to invent and simplify centralized solutions.Key job responsibilities• Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for business intelligence analytics.• Implementing data structures using best practices in data modeling to provide on-line reporting and analysis using business intelligence tools and a logical abstraction layer against large, multi-dimensional datasets and multiple sources.• Gathering business and functional requirements and translating the gathered requirements into robust, scalable, operable solutions that work well within the overall data architecture.• Analyzing source data systems and driving best practices in source teams.• Analyzing large amounts of data, discovering and solving real world problems, and building metrics and business cases to help business teams to make decisions.• Participating in the full development life cycle, end-to-end, from design, implementation and testing, to documentation, delivery, support, and maintenance to produce comprehensive, usable dataset documentation and metadata.• Evaluating and making decisions around dataset implementations designed and proposed by peer data engineers. Identifying business process improvements from the data level.• Analyzing and evaluating business process, and through data driven insights proposing and implementing business process improvement.About the teamAWS 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. 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.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. 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.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. BASIC QUALIFICATIONS- Bachelor's degree in finance, accounting, business, economics, engineering , analytics, mathematics, statistics or a related technical or quantitative field- 4+ years of business analyst, data analyst or similar role experience- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- 4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- 4+ years of experience partnering with executive-level leaders to identifying and solving business issues ...

Amazon Fulfillment Technologies (AFT) is seeking an experienced Business Intelligence Engineer who is passionate about leveraging data to deliver actionable insight to improve senior level business decision making. Amazon Fulfillment Technologies (AFT) powers the physical engine at the heart of Amazon. AFT builds and operates software, hardware, and processes that run the global network of fulfillment centers that move many billions of units of inventory, employ tens of thousands of people, and ensure that customers get what they want when we promised we would get it to them. We do this by building automated solutions to handle things that technology does well, while relying on people to handle things that humans do well. Our team collaborates with machine learning scientists, product managers, engineers, Suppliers, fulfillment associates, and with a variety of customers across Amazon worldwide. Key job responsibilities• Design, develop and maintain scaled, automated, user-friendly systems, reports, and dashboards enabling stakeholders to manage the business and make effective decisions.• Work with PMs and Business stakeholders in understanding the business requirements and implementing solutions to support analytics and reports.• Conduct ad hoc data analysis and data quality investigations.• Implement training and documentation solutions that enables stakeholders to get the most out of our self-serve reporting tools.• Develop and support the analytical technologies that give our customers timely, flexible and structured access to their data.• Defining, developing and maintaining critical business and operational reports reviewed on a weekly, monthly, quarterly, and annual basis• Analysis of historical data to extract meaningful insights and learnings from large and complicated data sets identify trends and support decision making, including written and verbal presentation of results and recommendations• Collaborating with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of machine learning models• Understanding of Amazon’s data resources, which to use, how, and whenA 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 Coverage2. Maternity and Parental Leave Options3. 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 teamAmazon Fulfillment Technologies (AFT) powers Amazon’s global fulfillment network. We invent and deliver software, hardware, and data science solutions that orchestrate processes, robots, machines, and people. We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it.InboundAFT’s Inbound team delivers innovative solutions to automatically receive and process billions of units of inventory from Amazon’s vendors and third-party sellers worldwide, making the merchandise quickly available to Amazon customers.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 ...

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 ...

Interested in working with the latest technology in the cloud computing space? Amazon is looking for talented and enthusiastic data engineers to join the People Engine Organization. Our team is responsible for integrating HR system to 100+ downstream systems. This job requires you to hit the ground running and your ability to learn quickly will define your success. Expertise on Core Java, SQL (Oracle/Presto), AWS services like Athena, S3, Batch, Lambda, DynamoDb, CloudWatch is a must. If you’re thrilled by the idea of ownership, passionate about HR Data and comfortable with the pace of a company shipping software in cycles measured in weeks not years, we would love to connect with you.Key job responsibilities• Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.• Contribute to the architecture and implementation of next generation data and BI solutions from the ground up.• Manage AWS resources including S3, Athena, Batch, lambda etc.• Optimize automated processes for performance and fault tolerance.• Optimize support for ad-hoc analysis across various data sources• Collaborate with BI Engineers, Software Engineers, and cross-functionally to deliver high quality data architecture and pipelines.• Make large and/or complex data more accessible, understandable and usable by applications and teams.A day in the lifeAs a Data Engineer, you will provide technical leadership, lead data engineering initiatives and build end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective. You strive for simplicity, demonstrate creativity and sound judgement. You deliver data solutions that are customer focused, easy to consume and create business impact. You have a strategic and long term view on architecting advanced data eco systems. You are experienced in building efficient and scalable data services and have the ability to integrate data systems with AWS tools and services to support a variety of customer use cases/applications.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines ...

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 ...

The Go-To-Market (GTM) Team for Contact Center Management System (CCMS) within the Customer Engagement Technologies (CET) organization is seeking a highly skilled and motivated individual to help drive migrations from old legacy tools to Amazon Connect for WW Customer Service. This team is also responsible for leading functional testing, triaging emerging issues, and developing new testing solutions. An successful candidate is skilled at process development and documentation, as well as stakeholder management. You are a highly adept communicator, able to effectively build alignment with a diverse set of stakeholders, and identify and resolve the root cause of defects within current systems.Key job responsibilities- Maintain constant communication with site operations, leadership, technology teams and other internal clients customer experience status across different business lines. This involves working with various tools which are used to obtain information required by the stakeholders. - Plan and execute business and User Acceptance Testing prior to marketplace launch. - Conduct root cause analysis of issues identified during testing, and ensure timely escalation of findings to appropriate teams. - Deliver results according to project Go-To-Market strategy, and schedules, while maintaining SLAs on velocity, productivity, and quality. - Handle exceptions where there is a deviation from launch plans to maintain business continuity. - Generate and analyze metrics to identify problem areas. Suggest solutions or changes for improvement and amend SOPs once approved. - Manage projects, identify requirements, and work with various teams to improve tools and identify automation opportunities.A day in the lifeLeading the functional testing in the form of incubation launch and friends n family [first 30/60 days], including emerging issues follow-up and reporting, testing solutions, prepare and execute UAT to support the incubation phases and full launch with key stakeholders.Overall Scope: - Connect Testing Design and Planning - Internal UAT (Instance/Infrastructure Test) - Connect Functional, Configuration and Feature Testing - Handshake validation for Connect focused on CET products and integration (MU Bot, Foresight, etc.) - Bug Triaging and Driving Issue Resolution - Internal and GO CSA Testing along with GO Sites (Firewall etc.) - Direct Dial Telecom Testing (In-Country Toll-Free Number/Direct Inward Dialing Number) - Friends and Family/Incubation Readiness and First Responders Room support - Support Daily Sunset inputs for GEPM and Stakeholders- Full Launch Readiness and First Responders Room support- Miscellaneous support for Launches, Migrations, and Expansions including Ad-hoc meetings, triaging, launch readiness etc. 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) PlanAbout the teamThis position will be a testing specialist on the Go-to-Market team and will be focused on the global migration of customer service onto Amazon Connect. This position is tasked to work closely with our customer service Operations teams, CCMS Tech, Product, and CET engineering teams to understand testing scope, create test plans and a test repository, facilitate UAT and deal with bug triaging and issue resolution for setting up our CSA network on Connect as we migrate from our legacy system onto this new product. This role will extensively test the Connect functionality, access, setups and configurations and all other go-to-market readiness to ensure the store is launch ready.BASIC QUALIFICATIONS- Bachelor's degree or equivalent- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders- Experience partnering with executive-level leaders to identifying and solving business issues ...

Amazon is seeking an experienced Business Analyst to join our Selling Partner Experience (SPX) Finance team. In this pivotal role, you will serve as a critical contributor focused on driving financial planning, forecasting, and reporting to ensure visibility into the performance of our growing programs.The ideal candidate will have a proven track record of using advanced data analysis and SQL skills to provide strategic decision support. You will work closely with leadership to offer guidance, oversight, and support in this exciting and evolving space.As the Selling Partner business has rapidly expanded worldwide, we need to scale our financial planning and reporting models. In this role, you will focus on building and enhancing critical financial models, uncovering key insights, and communicating your findings to key stakeholders.In addition to your core analytical abilities, you will also contribute to the development of policies, processes, and tools to address Seller-facing challenges in collaboration with cross-functional teams. This position requires a critical thinker with strong organizational, problem-solving, and communication skills.At the heart of this role is a passion for using data to discover and solve real-world problems. You will have the opportunity to work in a fast-paced, ambiguous environment and directly influence the success of our Selling Partner Experience.Key job responsibilities- Build and maintain recurring metrics and reports.- Complete ad hoc data retrieval and analysis using relational databases, Excel and other data management systems.- Design and implement reporting solutions enabling stakeholders to manage the business and make effective decisions.- Oversee financial reporting for your business area. Understand input drivers and validate integrity of the reporting to influence strategic decision-making and planning. Use data to identify disruptive ideas and provide advice to business leaders across the globe. - Build financial model, sensitivity analysis and provide recommendations for new business initiatives.- Conduct impactful data analyses to identify opportunities, develop recommendations, and effectively communicate complex financial insights to drive critical business decisions through clear, concise, and tailored written and verbal presentations.BASIC QUALIFICATIONS- 3+ years of tax, finance or a related analytical field experience- 3+ years of business analyst, data analyst or similar role experience- Experience with SQL- Experience with Excel- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders ...

The People Analytics, Insights, and Research (PAIR) team within PXT supports two of Amazon’s most exciting businesses: Devices & Services (the innovators behind Echo, Kindle, Ring and Kuiper Low-orbit satellite program) and Artificial General Intelligence (the team behind Generative AI foundational model development at Amazon). We are seeking an experienced, curious and motivated Sr. Business Analyst to act as our direct liaison and “Analyst in the Line” for several PXT organizations supporting Devices businesses. Our work is dedicated to empowering leaders and enabling action through data and science. In addition to standard reporting, we seek to leverage analytics to help our leaders focus their efforts in ways that will engage, retain and grow their team members to propel the business forward.Key job responsibilities- Interview stakeholders to gather business requirements and translate them into data and analytic deliveries to be actioned by yourself and the team.- Write Extract-Transform-Load (ETL) jobs using sql and Amazon Big Data Technology in order to create fully-automated business metrics and insights.- Own the design, development, and maintenance of business-driven people metrics, reports, analyses, dashboards, etc. in order to drive key business decisions- Monitor and troubleshoot operational or data issues in the data pipelines and work with appropriate upstream data owners to resolve.- Review and audit existing team-owned ETL jobs, SQL queries, permission structures and metrics presentation for accuracy and to maintain the highest standard.- Identify and recommend opportunities to Junior analysts in order to enhance capability and quality of team operations and outputs.- Learn and understand a growing range of Amazon and specifically PXT data resources and discover how, and when to use which data sets.A day in the life- Work closely with HR teams across the globe, building on your strong analytical skills to support multiple teams with regular production of metrics and analytics that are meaningful and scalable.- Use your skills in ETL, automation, and data visualization to provide actionable insights for our teams.- Develop, automate and maintain Monthly and Quarterly business reviews for leaders in supported businesses- Conduct and present statistical analysis, such as regressions, chi-square testing, and confidence intervals in order to distill decisions from large-scale data.- Establish scalable, efficient and automated processes for large scale data analyses- Provide ad-hoc or special project data analysis to PXT Business Partners and Devices Business Leaders that enable them to achieve their people KPIs, drive decision making and create new strategies.About the teamThe PAIR team is a multi-functional team which leverages diverse skills of engineers, analysts and researchers in order to curate an optimal set of tools and innovative products for our customers in PXT and in the D&S and AGI businesses.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- Bachelor's degree- Experience defining requirements and using data and metrics to draw business insights- Experience with Excel- Experience with SQL- Experience making business recommendations and influencing stakeholders ...

Amazon is a fast paced innovative company that is developing software that no one has attempted before. If you are a data engineer who is passionate about writing code and loves to build large scale data pipelines which are , scalable, high throughput, fault tolerant and always available, then get in touch with us.The Item and Offers team is responsible for a variety of services that form a core part of the Amazon eCommerce platform. We are primarily responsible for developing the services that process all of the Item information from millions of merchants who want to sell through the Amazon family of websites. Our expertise lies in managing billions of products in the catalog and developing large scale distributed systems that process hundreds of millions of changes to the catalog every day in real time. The team offers a unique blend of hard computer science problems and an opportunity to help the businesses model their new ideas.Are you passionate about working with large datasets and code? Do you want to build and manage data engineering solutions that process a broad range of data schemas? Do you want to continuously improve the data pipelines that operate at Amazon’s catalog scale while ensuring our customer’s trust? If yes, then come join the Catalog Data Works (CDW) team with the charter to provide useful, fresh and historical catalog data that teams at Amazon can analyze and leverage for their business use cases. The published by this team are a critical component of building a catalog that earns our customers’ trust.As a Sr. Data Engineer in the CDW team, you will own complex big data pipelines and data solutions to provide highly availability datasets. You will work with large data sets (in petabytes) and transformations involving multiple data sources to enable downstream analytics for our stakeholders. You will build and manage large datasets to help teams drive data-driven decisions through analytical and business metrics dashboards.The Data Engineer will play a crucial role in designing, developing, and maintaining efficient and scalable data pipelines, data models, and data warehousing solutions. This position will be responsible for ensuring data integrity, quality, and availability across the organization, enabling data-driven decision-making and supporting business analytics and insight initiatives.Key job responsibilities• Define and optimize data models for rapid analytics on catalog product data, improving freshness and LLM consumption while reducing costs and undifferentiated work.• Automate metrics generation to support S-team goals, including pack hierarchy scaling and standard KPIs, while leading strategy for scaling self-serve analysis and dashboards.• Mentor engineers, establish best practices in data engineering and operational excellence, and stay current with latest technologies to recommend innovations.• Conduct comprehensive data discovery, profiling, and performance analysis for various sources, designing effective models for Page0, entitlement, propensity, and other relevant data.• Collaborate with stakeholders to translate requirements into optimized data structures, while establishing and enforcing data governance policies to maintain quality, consistency, and security.• Take a long-term view of data solutions, proactively addressing architecture deficiencies and making appropriate trade-offs for usability, security, maintainability, scalability, and extensibility.• Resolve root causes of endemic problems, unblocking innovation for related teams, and build consensus with stakeholders to influence and determine the best path forward.About the teamBASIC QUALIFICATIONS- Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent- 5+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience mentoring team members on best practices- Experience in at least one modern scripting or programming language, such as Python, Java or Scala- Experience in dimensional data modeling and schema design- Experience with diverse data formats: Parquet, JSON, big data formats, and table formats like Apache Iceberg ...