EU Hardlines Marketing Sector: Engineering, Marketing, Advertising and PR Role: Professional Contract Type: Permanent Hours: Full Time DESCRIPTION Work hard. Have fun. Make history. Amazon strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving … customers more of what they want - low prices, vast selection, and convenience - Amazon continues to grow and evolve as a world-class e-commerce destination. EU Hardlines Marketing/CX team is seeking a Marketing/CX Business Intelligence Engineer to help accelerate the team's efforts to improve … focus on making clear insights, model assumptions, tradeoffs, etc. Building an expert understanding of technologies and techniques required to build analytical solutions in the Amazon data ecosystem. Upskilling in new areas as required for different analytical solutions. BASIC QUALIFICATIONS Experience with data visualization using Tableau, Quicksight, or similar tools. More ❯
pipelines, orchestration and modelling. Lead the team in building and maintaining robust data pipelines, data models, and infrastructure using tools such as Airflow, AWS Redshift, DBT and Looker.Ensuring the team follows agile methodologies to improve delivery cadence and responsiveness. Contribute to hands-on coding, particularly in areas requiring architectural … to foster team growth and development Strong understanding of the data engineering lifecycle, from ingestion to consumption Hands-on experience with our data stack (Redshift, Airflow, Python, DVT, MongoDB, AWS, Looker, Docker) Understanding of data modelling, transformation, and orchestration best practices Experience delivering both internal analytics platforms and external More ❯
pipelines, orchestration and modelling. Lead the team in building and maintaining robust data pipelines, data models, and infrastructure using tools such as Airflow, AWS Redshift, DBT and Looker.Ensuring the team follows agile methodologies to improve delivery cadence and responsiveness. Contribute to hands-on coding, particularly in areas requiring architectural … to foster team growth and development Strong understanding of the data engineering lifecycle, from ingestion to consumption Hands-on experience with our data stack (Redshift, Airflow, Python, DVT, MongoDB, AWS, Looker, Docker) Understanding of data modelling, transformation, and orchestration best practices Experience delivering both internal analytics platforms and external More ❯
pipelines, orchestration and modelling. Lead the team in building and maintaining robust data pipelines, data models, and infrastructure using tools such as Airflow, AWS Redshift, DBT and Looker.Ensuring the team follows agile methodologies to improve delivery cadence and responsiveness. Contribute to hands-on coding, particularly in areas requiring architectural … to foster team growth and development Strong understanding of the data engineering lifecycle, from ingestion to consumption Hands-on experience with our data stack (Redshift, Airflow, Python, DVT, MongoDB, AWS, Looker, Docker) Understanding of data modelling, transformation, and orchestration best practices Experience delivering both internal analytics platforms and external More ❯
Business Intelligence Engineer, Amazon Sub Same Day The role of the Sub Same Day business is to provide ultrafast speeds (2-hour and same-day scheduled) and reliable delivery for a curated selection of Amazon's top-selling items and daily essentials, fulfilling customer expectations for speed and … talented, driven, and experienced Business Analyst to contribute to the evolution and success of one of the fastest-growing businesses in the company. Joining Amazon means partnering with a dynamic team that values innovation and success in a fast-paced environment. The Business Analyst will influence critical business decisions … escalating anomalies as needed. Providing input on business actions based on analytical findings. BASIC QUALIFICATIONS 5+ years of experience analyzing and interpreting data using Redshift, Oracle, NoSQL, etc. Experience with data visualization tools such as Tableau, Quicksight, or similar. Experience with data modeling, warehousing, and building ETL pipelines. Experience More ❯
Job ID: Amazon UK Services Ltd. Do you want a role with deep meaning and the ability to make a massive impact? Hiring top talent is not only critical to Amazon's success-it can literally change the world. It took a lot of great hires to deliver … the Intelligent Talent Acquisition (ITA) team, you'll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy that Amazon's Talent Acquisition operation needs. ITA is an industry-leading people science and technology organization made up of scientists, engineers, analysts, product professionals and … replacing the "game of chance" with a merit-based approach that gives candidates the chance to showcase their true skills. Each year we help Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of associates in the right quantity, at the More ❯
Business Intelligence Engineer, WHS Data Job ID: Services LLC At Amazon, the Leadership Principle "Strive to be Earth's Best Employer" challenges us to create "a safer, more productive, higher performing, more diverse, and more just work environment," and reinforces that nothing is more important than the safety and … data integrity, consistency, analysis, validations, and documentation -Learn new technology and techniques to meaningfully support product and process innovation A day in the life 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 … 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 More ❯
The EU Hardlines Customer Insights & Analytics team consists of five technical experts - four Business Intelligence Engineers and one Research Specialist - driving data innovation across Amazon's European stores. Our vision is for all prospective Hardlines customers to be inspired to shop through highly relevant, personalised, and aspirational experiences, powered … PREFERRED QUALIFICATIONS Master's degree in statistics, data science, or an equivalent quantitative field. Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc. Experience with theory and practice of information retrieval, data science, machine learning and data mining. Experience with theory and practice of … design of experiments and statistical analysis of results. Experience with Python, Spark SQL, QuickSight, AWS Lambda & React.js - Core tools of team. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and More ❯
talented individuals passionate about solving complex problems and driving impactful business decisions for our executives. The AIM team owns critical Tier 1 metrics for Amazon Retail stores, providing key insights to improve store health monitoring. We focus on enhancing selection, product availability, inventory efficiency, and inventory readiness to fulfill … and loading (ETL) large datasets from diverse sources. Implement data structures using best practices in data modeling, ETL/ELT processes, and SQL, AWS - Redshift, and OLAP technologies, Model data and metadata for ad hoc and pre-built reporting. Work with product tech teams and build robust and scalable … accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race More ❯
Senior Business Intelligence Engineer, EU Hardlines CX, IDQ & Marketing Job ID: Amazon EU SARL (UK Branch) Shape the future of online shopping through data-driven insights! Join our EU Hardlines analytics team where you'll combine Customer Experience analysis with Item Data Quality innovation to improve how millions discover … The EU Hardlines Customer Insights & Analytics team consists of five technical experts - four Business Intelligence Engineers and one Research Specialist - driving data innovation across Amazon's European stores. Our vision is for all prospective Hardlines customers to be inspired to shop through highly relevant, personalised, and aspirational experiences, powered … PREFERRED QUALIFICATIONS - Master's degree in statistics, data science, or an equivalent quantitative field. - Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc. - Experience with theory and practice of information retrieval, data science, machine learning and data mining. - Experience with theory and practice of More ❯
Role : AWS Architect Location :London, UK (Hybrid) Duration :Contract/permanent We are seeking a highly experienced and skilled Lead AWS Architect with 12-15 years of experience in IT architecture and cloud solutions. The ideal candidate will have a More ❯
Join us on our mission to make a better world of work. Culture Amp is the world's leading employee experience platform, revolutionizing how 25 million employees across more than 6,500 companies create a better world of work. Culture More ❯
Business Intelligence Engineer (In Stock), Amazon Fresh Job ID: Amazon EU SARL (UK Branch) Do you enjoy transforming data into actionable insights and taking a data-driven approach to solving complex business problems? Amazon Fresh is looking for a pro-active Business Intelligence Engineer with strong technical … reports for both internal and external business reviews. Respond with urgency to high priority requests from senior business leaders. About the Team Within International Amazon Fresh, AIS (Analytics, Insights and Science) strives to empower decision-making with actionable insights across banners. The team intentionally balances delivering value quickly (Minimum … intake for emerging initiatives along with providing on-call and office hours for our stakeholders. BASIC QUALIFICATIONS Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. Experience with data visualization using Tableau, Quicksight, or similar tools. Experience with one or more industry analytics visualization tools (e.g. Excel More ❯
exercises. Strong Excel skills required. Systems & Tools: Business Applications: Microsoft Office Suite, Project, Visio, Excel power user, Smartsheets, Hive Data applications and languages: Datorama, Amazon S3, Redshift, MS SQL Server, Alteryx, Tableau, R, Python Marketing and media platforms: Prisma, MediaOcean, Doubleclick, Google Analytics, Adobe Analytics (Omniture), DV360, Google More ❯
architecture and cloud-first designs. Leadership will be crucial in navigating the complex landscape of interdependent tools and platforms, many developed concurrently by other Amazon teams. The role requires managing ambiguity, making strategic decisions with incomplete information, and adapting plans as new internal products evolve. Strong cross-functional partnerships … integrate emerging technologies and new internal products into the modernization roadmap. 7. Drive the evaluation and adoption of data analytics AWS services and internal Amazon products, making strategic "Build vs Buy" decisions. A day in the life Your typical day is dynamic and multifaceted, balancing strategic initiatives with day … larger goals of your data infrastructure modernization initiative. About the team WW Operations Finance Standardization and Automation improves customer experience and business outcomes across Amazon Operations Finance through innovative technical solutions, standardization and automation of processes and use of modern data analytics technology. BASIC QUALIFICATIONS - Experience in processing data More ❯
Supply Chain challenges? Do you have a desire to make a major contribution to the future, in the rapid growth environment of Cloud Computing? Amazon Web Services is looking for a highly motivated, analytical and detail oriented candidate to help build scalable, predictive and prescriptive business analytics solutions that … has a track record of using data to influence decision makers. Key job responsibilities In this role, you will: Understand a broad range of Amazon's data resources and processes. Manipulate/mine data from database tables using SQL, and from log files by writing scripts (e.g. PERL, Python … gets things done at an effective pace, gets results and is comfortable working with tight deadlines and changing priorities. About the team 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 More ❯
rekindle program Note: For more details on rekindle program, please visit - rekindle program Amazon's India Ad Tech organization is seeking a highly quantitative, enthusiastic Data Engineer to drive the development of Ads analytics and insights. Be a part of an innovative and passionate team, responsible for building a … successful, sustainable and strategic international business for Amazon, from the ground up. You will succeed in this role if you are an organized self-starter who can learn new technologies quickly and excel in a fast-paced environment. In this position, you will be a key contributor and partner … high-volume, high-performance data structures for analytics and Reporting. Implement data structures using best practices in data modeling, ETL processes, and SQL, AWS - Redshift, and OLAP technologies, Model data and metadata for ad hoc and pre-built reporting. Work with product tech teams and build robust and scalable More ❯
Are you passionate about working with Amazon-scale data, analytics/science, and state-of-the-art data infrastructure? Do you love bringing data together from diverse systems and sources, and solving complex analytics problems for creating deep understanding of customer behavior and generating actionable business insights? Does the … operations leaders, machine-learning scientists, and software engineers excite you? The Analytics Manager will lead a critical team of business-intelligence engineers leveraging massive, Amazon-scale data to help us improve decision-making, increase operational efficiency, and delight our customers with new and improved experiences. The team will sit … or similar tools Experience in scripting for automation (e.g. Python) and advanced SQL skills. Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc. PREFERRED QUALIFICATIONS A master's degree in a relevant field. More than 6 years of experience in related fields. Demonstrated track More ❯
and beyond in analyzing usage data to derive new insights and fuel customer success. BASIC QUALIFICATIONS 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL, etc. experience. Experience with data visualization using Tableau, Quicksight, or similar tools. Experience with one or more industry analytics visualization tools (e.g. … including support for the interview or onboarding process, please visit this link for more information. Posted: April 11, 2025 (Updated about 1 hour ago) Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race More ❯
relationships based on trust and value. The Role The Data Engineer will propose and implement solutions using a range of AWS infrastructure, including S3, Redshift, Lambda, Step Functions, DynamoDB, AWS Glue, and Matillion. They will liaise with clients to define requirements, refine solutions, and ultimately hand them over to … Experience in analysing and cleansing data using a variety of tools and techniques. Familiarity with AWS data lake-related components. Hands-on experience with Redshift, Glue, and S3. Extensive experience in ETL and using patterns for cloud data warehouse solutions (e.g. ELT). Hands-on experience with Matillion. Familiarity … XML, CSV, Parquet, etc. Experience with building and maintaining data dictionaries/meta-data. Experience with Linux and cloud environments. Data Visualisation Technologies (e.g. Amazon QuickSight, Tableau, Looker, QlikSense). Desirable experience: Familiarity with large data techniques (Hadoop, MapReduce, Spark, etc.) Familiarity with providing data via a microservice API. More ❯
Japanese language skill (reading, writing, speaking) is required for this position. Amazon is one of the world's largest and most customer-centric companies, continuously innovating to make customers' lives easier. We are seeking a Business Intelligence Engineer to join our dynamic team, driving data-driven decision-making and … to join the BI team of a tech organization under S&A, a global partner for Ops Finance. As a Business Intelligence Engineer at Amazon, you will play a pivotal role in leveraging data to drive insights and support strategic decision-making across the organization. You will be responsible … building and evaluating data models is highly preferred. Create compelling data visualizations and dashboards to communicate insights effectively. Knowledge of AWS products such as Redshift, QuickSight, or similar experience with other cloud tech stack. Collaborate with product, engineering, and business teams to translate ambiguous problems into tech requirements and More ❯
Business Intelligence Analyst, AWS Cloud Logistics Job ID: Amazon Asia-Pacific Resources Private Limited (Singapore) 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 … career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. 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 … supported in the workplace and at home, there's nothing we can't achieve. BASIC QUALIFICATIONS - 1+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization software (e.g., AWS QuickSight or Tableau) or open-source project - Experience with one or more scripting More ❯
and enjoys working both independently and collaboratively. Key Responsibilities as a Principal Data Engineer Propose and implement data solutions using AWS services including S3, Redshift, Lambda, Step Functions, DynamoDB, AWS Glue, and Matillion . Work directly with clients to define requirements, refine solutions, and ensure successful handover to internal … team culture. Required Qualifications & Skills Strong experience in ETL processes and cloud data warehouse patterns . Hands-on expertise with AWS services (S3, Glue, Redshift). Proficiency with Matillion for data transformation. Experience working with various relational databases . Familiarity with data visualization tools such as QuickSight, Tableau, Looker More ❯
and enjoys working both independently and collaboratively. Key Responsibilities as a Principal Data Engineer Propose and implement data solutions using AWS services including S3, Redshift, Lambda, Step Functions, DynamoDB, AWS Glue, and Matillion . Work directly with clients to define requirements, refine solutions, and ensure successful handover to internal … team culture. Required Qualifications & Skills Strong experience in ETL processes and cloud data warehouse patterns . Hands-on expertise with AWS services (S3, Glue, Redshift). Proficiency with Matillion for data transformation. Experience working with various relational databases . Familiarity with data visualization tools such as QuickSight, Tableau, Looker More ❯
solutions that drive business outcomes. Systems & Tools: Business Applications: Microsoft Office Suite, Project, Visio, Excel power user, Smartsheets, Hive Data applications and languages: Datorama, Amazon S3, Redshift, MS SQL Server, Alteryx, Tableau, R, Python Marketing and media platforms: Prisma, MediaOcean, Doubleclick, Google Analytics, Adobe Analytics (Omniture), DV360, Google More ❯
