76 to 100 of 332 Amazon QuickSight Jobs in the UK

lineage, and usage metrics to ensure data products are trustworthy, discoverable, and valuable Enable Data Democratization & Self-Service: Build intuitive, well-structured data models to empower BI tools (e.g., QuickSight, Power BI, Tableau) Collaborate with analysts and domain users to promote adoption of self-serve analytics tools Create and maintain data dictionaries, technical and business catalogs, and user onboarding … Familiarity with orchestration tools and observability platforms (Airflow, dbt, Monte Carlo, etc.) Exposure to real-time/streaming pipelines Understanding of information security best practices Familiarity with BI tools (QuickSight, Power BI, Tableau, Looker, etc.) Interest or experience in building internal data communities or enablement programs Working with diverse data sources (APIs, CRMs, SFTP, databases) and formats (Parquet, JSON More ❯

lineage, and usage metrics to ensure data products are trustworthy, discoverable, and valuable Enable Data Democratization & Self-Service: Build intuitive, well-structured data models to empower BI tools (e.g., QuickSight, Power BI, Tableau) Collaborate with analysts and domain users to promote adoption of self-serve analytics tools Create and maintain data dictionaries, technical and business catalogs, and user onboarding … Familiarity with orchestration tools and observability platforms (Airflow, dbt, Monte Carlo, etc.) Exposure to real-time/streaming pipelines Understanding of information security best practices Familiarity with BI tools (QuickSight, Power BI, Tableau, Looker, etc.) Interest or experience in building internal data communities or enablement programs Working with diverse data sources (APIs, CRMs, SFTP, databases) and formats (Parquet, JSON More ❯

driven solutions and shape our data strategy to support business growth. Responsibilities Work with teams to understand objectives, data needs, and analytics goals. Develop strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for diverse data sources. Apply statistical and machine learning techniques for analysis and pattern recognition. Create KPIs and More ❯

with cross-functional teams, and develop data-driven solutions to support business growth. Responsibilities: Understand business objectives and define analytics goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data extraction and transformation. Apply statistical and machine learning techniques for predictive and segmentation analyses. Develop KPIs More ❯

data pipelines and ETL processes for data extraction and transformation. Apply statistical and machine learning techniques for predictive and segmentation analyses. Develop KPIs and dashboards for decision-making using Amazon QuickSight. Perform exploratory data analysis to identify trends and insights. Collaborate with data engineers to optimize data architecture and governance. Requirements: Bachelor's or master's in Computer Science More ❯

influence our data strategy to support business growth. Responsibilities: Understand business objectives, data requirements, and analytics goals with cross-functional teams. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes for data extraction, transformation, and loading. Apply statistical and machine learning techniques for predictive and segmentation More ❯

for data extraction, transformation, and loading. Apply statistical and machine learning techniques for predictive analysis, clustering, segmentation, and pattern recognition. Identify key metrics, develop KPIs, and create dashboards using QuickSight for decision-making. Perform exploratory data analysis to uncover trends and insights for product and user engagement improvements. Work with data engineers to optimize data architecture, quality, and governance More ❯

of BIEs, DEs, DSs, AS, and BAs within the Seller Services organization at Amazon. Our mission is to deliver data-driven analytical solutions that empower sellers to thrive on Amazon's global platform. We specialize in constructing and maintaining intricate standard data pipelines used by thousands of users worldwide to measure, derive, and analyze seller performance. We are currently … and optimizing the seller experience. We leverage massive-scale data, analytics, and machine learning to drive innovation and business success. BASIC QUALIFICATIONS Experience with data visualization tools like Tableau, Quicksight, or similar. Proficiency in scripting languages such as Python, Java, or R. Experience gathering business requirements and using BI tools to extract data, formulate metrics, and build reports. At … accommodations during the application or onboarding process, please visit this link . For other regions, contact your Recruiting Partner. Posted: Multiple dates in 2024 and 2025, with recent updates. Amazon is an equal opportunity employer, committed to diversity and inclusion, and does not discriminate based on protected statuses. More ❯

Business Intelligence Engineer, APAC Retail BI Amazon has an exciting opportunity for a Business Intelligence Engineer to join our online retail team. The Retail team operates as a merchant in Amazon, owning functions like merchandising, marketing, inventory management, vendor management, and program management. In this pivotal role, you’ll support these functions with business intelligence derived from our … vast data resources, contributing to the long-term growth and success of Amazon in the APAC region. You will collaborate with stakeholders from Pricing Program to contribute to Amazon’s pricing strategies, partner with vendor and inventory managers to improve product cost structures, and support the marketing team in developing strategies using large volumes of complex data. Responsibilities … include exploring datasets, writing complex SQL queries, building data pipelines and visualizations with AWS Quicksight, and developing machine learning models to predict key outcomes. Key job responsibilities As a BI Engineer in the APAC Retail BI team, you will build partnerships with stakeholders to gain business understanding and develop insights and recommendations. You’ll work with local and international More ❯

to shape our data strategy and support business growth. Responsibilities Collaborate with teams to understand business objectives and define analytics goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes from diverse sources into AWS. Apply statistical and machine learning techniques for predictive and segmentation analyses. … Create dashboards and KPIs with Amazon QuickSight for decision-making. Perform exploratory data analysis to identify trends and insights. Work with data engineers to optimize data architecture, quality, and governance in AWS. Requirements Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or related field. Experience as a Data Scientist in a cloud environment, preferably with More ❯

and offer access to social media opportunities. Responsibilities: Collaborate with cross-functional teams to understand business objectives and define analytics goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes for data extraction, transformation, and loading into AWS. Apply statistical and machine learning techniques for predictive … and segmentation analyses. Develop KPIs and dashboards using Amazon QuickSight for data-driven decision-making. Perform exploratory data analysis to uncover trends and insights. Work with data engineers to optimize data architecture, quality, and governance in AWS. Requirements: Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or related fields. Proven experience as a Data Scientist More ❯

and develop data-driven solutions to support business growth. Responsibilities Collaborate with teams to understand objectives and define analytics goals. Develop data analysis strategies using AWS tools such as Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data extraction and transformation. Apply statistical and machine learning techniques for predictive and pattern analysis. Develop KPIs … and dashboards using Amazon QuickSight for decision-making. Perform exploratory data analysis to identify trends and insights. Work with data engineers on data architecture, quality, and governance in AWS. Requirements Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or related fields. Experience as a Data Scientist, preferably with AWS analytics services. Proficiency in AWS tools More ❯

work and offer access to social media opportunities. Responsibilities: Collaborate with cross-functional teams to define analytics goals and data requirements. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes for data extraction, transformation, and loading into AWS. Apply statistical and machine learning techniques for predictive … and pattern analysis. Create dashboards and KPIs using Amazon QuickSight to support decision-making. Perform exploratory data analysis to identify trends and insights for product and engagement improvements. Work with data engineers to optimize data architecture, quality, and governance in AWS. Requirements: Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or related field. Proven experience More ❯

shape our data strategy and support business growth. Responsibilities: Work with teams to understand business goals, data needs, and analytics objectives. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes for data extraction, transformation, and loading into AWS. Apply statistical and machine learning techniques for predictive … and segmentation analyses. Identify key metrics, develop KPIs, and create dashboards with Amazon QuickSight for decision-making. Perform exploratory data analysis to identify trends and insights for product and user engagement improvements. Collaborate with data engineers to optimize data architecture, quality, and governance in AWS. Requirements: Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or More ❯

Collaborate with cross-functional teams to develop data-driven solutions that support business growth. Responsibilities: Work with teams to understand data needs and analytics goals. Use AWS tools like Amazon Redshift, Athena, EMR, and QuickSight for data analysis. Create data pipelines and ETL processes for data integration. Apply statistical and machine learning techniques for analysis and modeling. Develop More ❯

data-driven solutions, shape data strategy, and drive business growth. Responsibilities Understand business objectives, identify data requirements, and define analytics goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes from diverse sources. Apply statistical and machine learning techniques for predictive and segmentation analyses. Identify key … metrics, develop KPIs, and create dashboards with Amazon QuickSight. Perform exploratory data analysis to uncover trends and insights. Work with data engineers to optimise data architecture, quality, and governance. Requirements Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or related field. Experience as a Data Scientist, preferably with AWS analytics services. Proficiency in AWS services like More ❯

recommendations, shaping our data strategy and driving growth. Responsibilities Work with teams to understand business goals, data needs, and analytics objectives. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes from various sources into AWS. Apply statistical and machine learning techniques for predictive and pattern analysis. … Identify key metrics, create KPIs, and develop dashboards with Amazon QuickSight. Perform exploratory data analysis to uncover trends and insights for product and engagement improvements. Collaborate with data engineers to optimize data architecture, quality, and governance in AWS. Requirements Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or related field. Experience as a Data Scientist, preferably More ❯

recommendations, shaping our data strategy to drive growth. Responsibilities: Collaborate with teams to understand business goals, data needs, and analytics objectives. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for diverse data sources. Apply statistical and machine learning techniques for predictive and segmentation analyses. Identify key metrics … develop KPIs, and create dashboards with Amazon QuickSight. Perform exploratory data analysis to identify trends and insights. Work with data engineers to optimize data architecture, quality, and governance in AWS. Requirements: Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or related field. Experience as a Data Scientist, preferably with AWS analytics services. Proficiency in AWS tools More ❯

Analyst , Customer Experience and Business Trends (CXBT) Capability Team Are you Customer obsessed, eager to create opportunities and influence business decisions to improve the customer experience across our different Amazon businesses? Customer Experience and Business Trends (CXBT) Capability team is looking for an experienced, talented and highly motivated individual to join our Global Capability team based in Bangalore. As … a Business Analyst (BA) , you will contribute to critical global services that measure Amazon's end-to-end Customer Experience. This role will bring innovation, a strategic perspective, a passionate voice, and an ability to prioritize and execute on a fast-moving set of priorities, competitive pressures, and operational initiatives. You will partner closely with program and technology teams … globally. We are a team of builders that develop products, services, ideas and various ways of leveraging data to influence products and service offerings - for almost every business at Amazon - for every customer (e.g., consumers, developers, sellers/brands, employees, investors, streamers, gamers). Our approach is based on determining the customer need, along with problem solving, and we More ❯

and offer access to social media opportunities. Responsibilities: Collaborate with cross-functional teams to understand objectives, data requirements, and analytics goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes for data extraction, transformation, and loading into AWS. Apply statistical and machine learning techniques for predictive … and segmentation analyses. Identify key metrics, develop KPIs, and create dashboards using Amazon QuickSight. Perform exploratory data analysis to uncover trends and insights for product and engagement improvements. Work with data engineers to optimize data architecture, quality, and governance in AWS. Requirements: Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or related fields. Proven experience as More ❯

recommendations, shaping our data strategy and supporting business growth. Responsibilities: Work with teams to understand objectives, data needs, and analytics goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for diverse data sources. Apply statistical and machine learning techniques for analysis, clustering, and pattern recognition. Identify key … metrics, develop KPIs, and create dashboards with Amazon QuickSight. Perform exploratory data analysis to uncover trends and insights. Collaborate on data architecture, quality, and governance in AWS. Requirements: Bachelor's or master's in Computer Science, Statistics, Mathematics, or related field. Experience as a Data Scientist, especially with AWS analytics. Proficiency in AWS services like Redshift, Athena, EMR, QuickSight. More ❯

recommendations, shaping our data strategy and supporting business growth. Responsibilities: Collaborate with teams to understand objectives, data needs, and analytics goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes for data extraction, transformation, and loading. Apply statistical and machine learning techniques for predictive and segmentation … analyses. Identify key metrics, develop KPIs, and create dashboards with Amazon QuickSight. Conduct exploratory data analysis to identify trends and insights. Work with data engineers to optimize data architecture, quality, and governance in AWS. Requirements: Bachelor's or master's in Computer Science, Statistics, Mathematics, or related field. Proven experience as a Data Scientist, especially with AWS analytics. Strong More ❯

will shape our data strategy and support business growth. Responsibilities: Collaborate with teams to understand objectives, data requirements, and analytics goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes for data extraction, transformation, and loading into AWS. Apply statistical and machine learning techniques for predictive … and segmentation analyses. Identify key metrics, develop KPIs, and create dashboards using Amazon QuickSight. Conduct exploratory data analysis to identify trends and insights for product and user engagement improvements. Work with data engineers to optimize data architecture, quality, and governance in AWS. Requirements: Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or related fields. Experience as More ❯

our data strategy and support business growth. Responsibilities: Collaborate with teams to understand objectives, identify data needs, and set analytics goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes from diverse sources into AWS. Apply statistical and machine learning techniques for predictive and pattern analyses. … Identify key metrics, develop KPIs, and create dashboards using Amazon QuickSight. Perform exploratory data analysis to uncover trends and insights. Work with data engineers to optimize data architecture, quality, and governance. Requirements: Bachelor's or master's in Computer Science, Statistics, Mathematics, or related field. Proven experience as a Data Scientist, especially with AWS analytics. Strong proficiency in AWS More ❯

shaping our data strategy and driving growth. Responsibilities: Collaborate with teams to understand objectives, identify data needs, and define analytics goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data extraction, transformation, and loading into AWS. Apply statistical and machine learning techniques for predictive and pattern … analyses. Identify key metrics, develop KPIs, and create dashboards with Amazon QuickSight. Perform exploratory data analysis to uncover trends and insights. Work with data engineers to optimize data architecture, quality, and governance. Requirements: Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or related field. Experience as a Data Scientist, preferably with AWS analytics. Proficiency in AWS More ❯