Responsibilities: Collaborate with cross-functional teams to understand business objectives, identify data requirements, and define analytics goals. Develop and implement data analysis strategies using AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines and ETL processes to extract, transform, and load data from diverse sources … advanced statistical and machine learning techniques to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop meaningful KPIs, and build dashboards and visualisations using AmazonQuickSight to enable data-driven decision-making. Conduct exploratory data analysis to uncover trends, patterns, and insights that inform product enhancements, user behaviour, and engagement strategies. Collaborate with … Mathematics, or a related field. 2.Proven experience as a Data Scientist, preferably in a cloud-based environment using AWS analytics services. 3.Strong proficiency in AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. 4.Solid understanding of data modelling, ETL processes, and data warehousing concepts. 5.Proficiency in statistical analysis, data mining, and More ❯
Responsibilities: Collaborate with cross-functional teams to understand business objectives, identify data requirements, and define analytics goals. Develop and implement data analysis strategies using AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines and ETL processes to extract, transform, and load data from diverse sources … advanced statistical and machine learning techniques to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop meaningful KPIs, and build dashboards and visualisations using AmazonQuickSight to enable data-driven decision-making. Conduct exploratory data analysis to uncover trends, patterns, and insights that inform product enhancements, user behaviour, and engagement strategies. Collaborate with … a related field. 2. Proven experience as a Data Scientist, preferably in a cloud-based environment using AWS analytics services. 3. Strong proficiency in AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. 4. Solid understanding of data modelling, ETL processes, and data warehousing concepts. 5. Proficiency in statistical analysis, data More ❯
and develop data-driven solutions to support business growth. Responsibilities: Work 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 diverse data sources. Apply statistical and machine learning techniques for analysis and insights. Create dashboards and KPIs … using AmazonQuickSight for decision-making. Perform exploratory data analysis to identify trends and insights. Collaborate with data engineers on data architecture and governance. Requirements: Bachelor's or master's degree in a related field. Experience as a Data Scientist, preferably with AWS analytics services. Proficiency in AWS tools like Redshift, Athena, EMR, QuickSight. Understanding of data modeling More ❯
skills to drive impactful outcomes. Your ability to cultivate a customer-centric mindset, will be instrumental in navigating the complex landscape of our initiatives for Specialty Reading charter within Amazon Books. A successful candidate will possess: Strong analytical and problem-solving skills, leveraging data and metrics to inform strategic decisions. Impeccable attention to detail and a clear and compelling … decision making. BASIC QUALIFICATIONS - 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with scripting language (e.g., Python, Java, or … hours ago) Posted: June 11, 2025 (Updated about 13 hours ago) Posted: May 22, 2025 (Updated about 14 hours ago) Posted: June 10, 2025 (Updated about 21 hours ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. More ❯
London, England, United Kingdom Hybrid / WFH Options
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Responsibilities: Collaborate with cross-functional teams to understand business objectives, identify data requirements, and define analytics goals. Develop and implement data analysis strategies using AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines and ETL processes to extract, transform, and load data from diverse sources … advanced statistical and machine learning techniques to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop meaningful KPIs, and build dashboards and visualisations using AmazonQuickSight to enable data-driven decision-making. Conduct exploratory data analysis to uncover trends, patterns, and insights that inform product enhancements, user behaviour, and engagement strategies. Collaborate with … Mathematics, or a related field. 2.Proven experience as a Data Scientist, preferably in a cloud-based environment using AWS analytics services. 3.Strong proficiency in AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. 4.Solid understanding of data modelling, ETL processes, and data warehousing concepts. 5.Proficiency in statistical analysis, data mining, and More ❯
solutions and shape our data strategy to support business growth. Responsibilities Collaborate with teams to understand 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 analysis. Apply statistical and machine learning techniques for predictive and pattern analyses. Create dashboards and … KPIs using AmazonQuickSight for decision-making. Perform exploratory data analysis to identify trends and insights. Work with data engineers on data architecture, quality, and governance. Requirements Bachelor's or master's in CS, Statistics, Mathematics, or related. Experience as a Data Scientist, preferably with AWS analytics. Proficiency in AWS services like Redshift, Athena, EMR, QuickSight. Knowledge of More ❯
highlight their work and facilitate access to social media opportunities. Responsibilities: Collaborate with teams to understand 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 analysis and pattern recognition. Develop KPIs … and dashboards using AmazonQuickSight for decision-making. Perform exploratory data analysis to uncover trends and insights. Work with data engineers to optimize data architecture and governance in AWS. Requirements: Bachelor's or master's in CS, Statistics, Mathematics, or related field. Experience as a Data Scientist, preferably with AWS analytics. Proficiency in AWS services like Redshift, Athena More ❯
solutions and shape our data strategy to support business growth. Responsibilities Collaborate with teams to understand objectives and define analytics goals. Implement 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 and pattern recognition. Develop KPIs and … dashboards using AmazonQuickSight for decision-making. Perform exploratory data analysis to identify trends and insights. Work with data engineers to optimize data architecture 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 services. Proficiency in AWS tools like Redshift More ❯
work and offer access to social media opportunities. Job Responsibilities: Collaborate with teams to understand business goals and define analytics objectives. 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 … analysis. Develop KPIs and create dashboards using AmazonQuickSight 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 fields. Experience as a Data Scientist, especially with AWS analytics More ❯
teams, and develop data-driven solutions to support business growth. Responsibilities: Work with teams to understand 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 analysis, clustering, and pattern recognition. … Develop KPIs and dashboards using AmazonQuickSight for decision-making. Perform exploratory data analysis to identify 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 fields. Experience as a Data Scientist, preferably with AWS analytics services. Proficiency in AWS tools like Redshift More ❯
and develop data-driven solutions to support 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 predictive and segmentation analyses. Create dashboards and … KPIs using AmazonQuickSight for decision-making. Perform exploratory data analysis to identify trends and insights. Collaborate with data engineers 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 services. Proficiency in AWS tools like Redshift More ❯
will shape our data strategy and support 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 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 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 field. Experience as a Data Scientist, preferably with AWS analytics. Proficiency in AWS … analytics services (Redshift, Athena, EMR, QuickSight). Understanding of data modeling, ETL, and data warehousing. Skills in statistical analysis, data mining, and machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, and data visualization tools. Strong analytical and problem-solving skills. Experience with social media analytics and user behavior. Knowledge of big data technologies like More ❯
Business Analyst, Stranded Inventory Reduction Program At Amazon, we strive to be the most innovative and customer centric company on the planet. Come work with us to develop innovative products, tools and research driven solutions in a fast-paced environment by collaborating with smart and passionate leaders, program managers and software developers. This role is based out of our … data integrity, test design, analysis, validation, and documentation BASIC QUALIFICATIONS - 5+ 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 Advanced SQL to pull data from a database or data warehouse and scripting experience (Python … hours ago) Posted: May 28, 2025 (Updated about 10 hours ago) Posted: April 4, 2025 (Updated about 11 hours ago) Posted: June 4, 2025 (Updated about 18 hours ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. More ❯
Design and build data pipelines and ETL processes from diverse sources into AWS. Apply statistical and machine learning techniques for predictive and segmentation analyses. Develop KPIs and dashboards using AmazonQuickSight for decision-making. Perform exploratory data analysis to identify trends and insights. Work with data engineers to optimize data architecture, quality, and governance. Requirements: Bachelor's or More ❯
W2 Responsibilities: Develop, optimize, and maintain data ingestion flows using Apache Kafka, Apache Nifi, and MySQL/PostgreSQL. Develop within AWS cloud services such as RedShift, SageMaker, API Gateway, QuickSight, and Athena. Coordinate with data owners to ensure proper configuration. Document SOPs related to streaming, batch configuration, or API management. Record details of data ingestion activities for team understanding. … organizational levels. Analytical, organizational, and problem-solving skills. Experience with data observability tools like Grafana, Splunk, AWS CloudWatch, Kibana, etc. Knowledge of container technologies such as Docker, Kubernetes, and Amazon EKS. Education Requirements: Bachelor’s Degree in Computer Science, Engineering, or related field, or at least 8 years of equivalent work experience. 8+ years of IT data/system More ❯
with data privacy regulations. Technical Competencies The role is a hands-on technical leadership role with advanced experience in at least most of the following technologies Cloud Platforms: AWS (Amazon Web Services): Knowledge of services like S3, EC2, Lambda, RDS, Redshift, EMR, SageMaker, Glue, and Kinesis. Azure: Proficiency in services like Azure Blob Storage, Azure Data Lake, VMs, Azure … Formation, Azure Purview. Data Security Tools: AWS Key Management Service (KMS), Azure Key Vault. Data Analytics & BI: Visualization Tools: Tableau, Power BI, Looker, and Grafana. Analytics Services: AWS Athena, AmazonQuickSight, Azure Stream Analytics. Development & Collaboration Tools: Version Control: Git (and platforms like GitHub, GitLab). CI/CD Tools: Jenkins, Travis CI, AWS CodePipeline, Azure DevOps. Other More ❯
driven solutions, and contribute to the company's growth. Responsibilities Collaborate with teams to define analytics goals and understand business objectives. Implement 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 pattern analyses. Develop KPIs and … dashboards for decision-making using Amazon QuickSight. Conduct exploratory data analysis to identify trends and insights. Work with data engineers to optimize data architecture and governance. Requirements Bachelor's or master's degree in relevant fields. Experience with AWS analytics services and cloud-based data analysis. Proficiency in AWS tools, data modeling, ETL, and data warehousing. Skills in statistical More ❯
driven solutions and shape our data strategy to drive growth. Responsibilities: Work with teams to understand objectives, data needs, and analytics goals. Develop analytics strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design 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. Perform exploratory data analysis to find 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 with More ❯
and shape our data strategy to support 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 from various sources into AWS. Apply statistical and machine learning techniques for predictive and pattern analysis. … Identify key metrics, develop KPIs, and create dashboards with Amazon QuickSight. Perform exploratory data analysis to uncover trends and inform product and user engagement strategies. 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 More ❯
teams, 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 services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data extraction, transformation, and loading. Apply statistical and machine learning techniques for predictive and pattern analysis. Create … dashboards and visualizations for decision-making using Amazon QuickSight. Conduct exploratory data analysis to uncover insights for product and engagement improvements. Work with data engineers on data architecture, quality, and governance in AWS. Requirements: Bachelor's or master's degree in a relevant field. Experience as a Data Scientist, especially with AWS analytics services. Proficiency in AWS services such More ❯
work and open access to social media opportunities. 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 and build data pipelines and ETL processes for diverse data sources into AWS. Apply statistical and machine learning techniques for predictive, prescriptive analyses … clustering, segmentation, and pattern recognition. Identify key metrics, develop KPIs, and create dashboards and visualizations with 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 More ❯
opportunities in the social media space. Responsibilities: Collaborate with cross-functional teams to understand business 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 from various sources into AWS. Apply statistical and machine learning techniques for predictive and pattern analysis. … Identify key metrics, develop KPIs, and create dashboards with 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 field. Experience as a Data Scientist, especially More ❯
and offer access to social media opportunities. Responsibilities: Collaborate with cross-functional teams to understand business goals and define 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. 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 field. Proven experience as a Data More ❯
to develop data-driven solutions that foster 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 and implement 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 using Amazon QuickSight. Perform exploratory data analysis to uncover trends and insights. Collaborate on data architecture, quality, and governance improvements. Requirements: Bachelor's or master's degree in relevant fields such as Computer Science, Statistics, or Mathematics. Proven experience as a Data Scientist, especially with AWS analytics tools. Strong proficiency in AWS More ❯
shaping our data strategy and supporting business 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 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 in AWS. Requirements: Bachelor's or master's in Computer Science, Statistics, Mathematics, or related fields. Experience as a Data Scientist, especially with AWS analytics services. Proficiency in AWS services like More ❯