51 to 75 of 160 Amazon QuickSight Jobs in the UK excluding London

shaping our data strategy and supporting business growth. Responsibilities: Work with teams to understand objectives, data needs, and analytics goals. Develop and implement 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 segmentation … analyses. Identify key metrics, develop KPIs, and create dashboards using Amazon QuickSight. 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 related fields. Experience as a Data More ❯

to develop data-driven solutions and shape our data strategy. 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 predictive and pattern analysis. Create KPIs More ❯

our data strategy to support business growth. Responsibilities: Collaborate with teams to understand objectives, identify data needs, and set analytics goals. Implement 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 analysis, clustering More ❯

QuickSight. Design data pipelines and ETL processes for data extraction, transformation, and loading. Apply statistical and machine learning techniques for predictive and segmentation analyses. Develop KPIs and dashboards with 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 More ❯

Strong SQL skills, with the ability to write complex queries across multiple platforms; Python knowledge is a plus. Experience with data visualisation tools such as Tableau (preferred), PowerBI, or Quicksight is desirable. Join us as we redefine travel experiences and create memories for millions of passengers. At Jet2.com and Jet2holidays , your potential has no limits. Apply today and let More ❯

and shape our data strategy to support business growth. Responsibilities: Work with teams to understand objectives, data needs, and analytics goals. Develop data analysis strategies using AWS tools like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data ingestion and transformation. 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. Collaborate on data architecture, quality, and governance improvements. Requirements: Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or related field. Experience as a Data Scientist, especially with AWS analytics services. Proficiency in AWS tools like Redshift, Athena, EMR More ❯

cross-functional teams, and develop data-driven solutions to support business growth. Responsibilities: Work with teams to understand objectives and define analytics goals. Develop 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 Amazon QuickSight for decision-making. Perform exploratory data analysis to uncover insights. Collaborate with data engineers on data architecture and governance in AWS. Requirements: Bachelor's or master's degree in relevant fields. Experience as a Data Scientist, preferably with AWS. Proficiency in AWS analytics tools. Understanding of data modeling, ETL, and warehousing. Skills in More ❯

functional teams, and develop data-driven solutions to support business growth. Responsibilities Understand business objectives and define analytics goals with teams. 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. Create dashboards and … KPIs using 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, preferably with AWS analytics services. Proficiency in AWS tools More ❯

Sr. Business Intelligence Engineer (BIE), UK Insights & Innovation Job ID: 2813637 | Amazon EU SARL (UK Branch) The UK Insights and Innovation (I&I) team is looking for an innovative and customer-obsessed Business Intelligence Engineer to define the BIE roadmap on projects which drive early stage thinking for the UK. Are you somebody that likes to use big data … within UK I&I. Example data solutions include 1) helping Global Store understand where growth opportunities lie and 2) supporting expansion to Ireland and defining new reporting structures for Amazon’s latest store in Europe. Recent analytical projects include an investigation of cross-border channels to reduce unnecessary long-distance shipments when the customer need could be met with … project outcomes as well as technical stakeholders, setting tech requirements for the engineering team. BASIC QUALIFICATIONS Experience in the data/BI space Experience with data visualization using Tableau, Quicksight, or similar tools Experience with SQL Experience working directly with business stakeholders to translate between data and business needs Experience using Cloud Storage and Computing technologies such as AWS More ❯

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 with Amazon QuickSight 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 More ❯

teams to develop data-driven solutions that 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 into AWS. Apply statistical and machine learning techniques for predictive and pattern … analyses. Develop KPIs and dashboards for decision-making using Amazon QuickSight. Perform exploratory data analysis to uncover insights for product and user behavior improvements. Work with data engineers on data architecture, quality, and governance in AWS. Requirements: Bachelor's or master's degree in relevant fields. Experience as a Data Scientist in cloud environments, especially AWS. Proficiency in AWS More ❯

our data strategy and support business growth. Responsibilities: Collaborate with teams to understand objectives, define data requirements, and set analytics goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes to load data into AWS for analysis. 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 user engagement improvements. Work with data engineers to optimize data architecture, quality, and governance in AWS. Requirements: Bachelor's or master's degree in related fields. Experience as a Data Scientist, especially with AWS analytics. Proficiency More ❯

data strategies and support business growth. Responsibilities Collaborate with teams to understand objectives, define data requirements, and set analytics goals. Develop and implement 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 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 and build data pipelines and ETL processes. Apply statistical and machine learning techniques for predictive and pattern analyses. Develop KPIs, dashboards, and visualizations More ❯

Data Engineer - Insurance Company - Didcot (Tech Stack: Data Engineer, Databricks, Python, Power BI, AWS QuickSight, AWS, TSQL, ETL, Agile Methodologies) We're working in partnership with a forward-thinking insurance company based in Didcot that's heavily investing in data and technology to drive smarter decisions and better outcomes for their customers.As part of this growth, they are now More ❯

Manager, Business Intelligence, Amazon Prime Our vision for Prime is to build India's largest subscription program that is loved by its members, delivers disproportionate value and drives growth of India business. In order to achieve this mission, we are on a multi-year journey to re-imagine Prime program and build a program to meets needs of large … of delivering results managing a business intelligence or analytics team, including employee development and performance management experience - Experience with SQL - Experience with ETL - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software PREFERRED QUALIFICATIONS - 4+ years of working with very large data warehousing environment … support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. More ❯

analysis strategies, building data pipelines, applying machine learning techniques, creating dashboards, and optimizing data architecture. Responsibilities: Understand business objectives and define analytics goals. Develop strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes. Apply statistical and machine learning techniques for analysis. Create dashboards and KPIs for decision-making. Conduct exploratory data More ❯

architectures, ETL/ELT patterns, and metadata/data quality management. • Expertise in Matillion, Redshift, Glue, Lambda, DynamoDB, and data pipeline automation. • Familiarity with data visualisation platforms such as Quicksight, Tableau, or Looker. • Knowledge of CI/CD processes and infrastructure-as-code. • Eligible for SC clearance (active clearance highly advantageous). Desirable Skills • Exposure to large data processing More ❯

high-quality data solutions. Key Skills Strong proficiency in SQL, Python, and Spark. Experience with metadata-driven ETL/ELT. Experience with AWS Glue, Databrew, S3, AWS Lambda, PostgreSQL, Quicksight Version Control (Gitlab) and CI/CD Familiar with security and networking principles, especially in an AWS deployment. Understanding and experience handling both structured and unstructured data. AWS focused More ❯

reporting: Conducting in-depth data analysis, generating reports, and providing actionable insights for client projects. Data and BI visualisation: Producing BI dashboards using industry-standard tools - Power BI, Tableau, Quicksight etc. Client interaction: Collaborating with clients to understand their needs, translating these into analytical solutions, and presenting findings in a clear, actionable manner. Mentoring and/or line managing More ❯

reporting: Conducting in-depth data analysis, generating reports, and providing actionable insights for client projects. Data and BI visualisation: Producing BI dashboards using industry-standard tools - Power BI, Tableau, Quicksight etc. Client interaction: Collaborating with clients to understand their needs, translating these into analytical solutions, and presenting findings in a clear, actionable manner. Mentoring and/or line managing More ❯

reporting: Conducting in-depth data analysis, generating reports, and providing actionable insights for client projects. Data and BI visualisation: Producing BI dashboards using industry-standard tools - Power BI, Tableau, Quicksight etc. Client interaction: Collaborating with clients to understand their needs, translating these into analytical solutions, and presenting findings in a clear, actionable manner. Mentoring and/or line managing More ❯

agile, collaborative ways Learning how to work effectively in fast-paced, agile environments as part of multidisciplinary teams Building confidence in using visualisation tools (such as Power BI or QuickSight ) to communicate insights from data By the end of the programme, you'll have the technical skills, commercial awareness, and collaborative mindset needed to launch your career as a More ❯

Data Engineer - Non-Profit/Health Charity - Cambridge (Tech Stack: Data Engineer, Python, Azure, Power BI, AWS QuickSight, AWS, TSQL, ETL, Agile Methodologies) Our client, a health-focused non-profit based in Cambridge, is seeking a Lead Data Engineer with deep AWS expertise to help shape their cloud data infrastructure. This role is ideal for someone passionate about using … data to support health research and services that positively impact lives. Key Responsibilities: Lead the architecture and delivery of scalable data platforms using Amazon Web Services (AWS) . Build and maintain end-to-end data pipelines and support the team in adopting CI/CD practices. Leverage AWS tools such as S3 , Glue , Redshift , and Lambda to process and More ❯

high-quality data solutions. Key Skills -Strong proficiency in SQL, Python, and Spark. Experience with metadata-driven ETL/ELT. -Experience with AWS Glue, Databrew, S3, AWS Lambda, PostgreSQL, Quicksight -Version Control (Gitlab) and CI/CD -Familiar with security and networking principles, especially in an AWS deployment. -Understanding and experience handling both structured and unstructured data. -AWS focused More ❯