11 of 11 Amazon QuickSight Jobs in the City of London

will include: • Own business-critical reporting that is leveraged globally by hundreds of users; from developing and maintaining large-scale data structures and ETL pipelines to creating reporting in Quicksight or Excel. • Gather business requirements from key stakeholders in Finance and Business teams, and translate into scalable and automated solutions. • Provide informed analysis, insight and recommendations around our business … develop data processes to enable more scalable and accurate reporting. 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 data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data More ❯

will include: • Own business-critical reporting that is leveraged globally by hundreds of users; from developing and maintaining large-scale data structures and ETL pipelines to creating reporting in Quicksight or Excel. • Gather business requirements from key stakeholders in Finance and Business teams, and translate into scalable and automated solutions. • Provide informed analysis, insight and recommendations around our business … develop data processes to enable more scalable and accurate reporting. 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 data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data More ❯

Data or BI space Experience with virtualization tools and data understanding Job Responsibilities: Own and maintain global business-critical reporting, including data structures, ETL pipelines, and reporting tools like Quicksight or Excel. Translate business requirements into scalable, automated solutions. Provide analysis and insights to support decision-making. Collaborate with Data Engineering and Analytics teams to improve data sources and … processes. Experience Requirements: Data analysis with Redshift, Oracle, NoSQL, etc. Data visualization skills with Tableau, Quicksight, or similar. Data modeling, warehousing, and ETL pipeline development. Statistical analysis with R, SAS, Matlab. SQL and scripting with Python for data processing. Preferred Qualifications: Experience with AWS services like EC2, DynamoDB, S3, Redshift. Experience in data mining, ETL, and handling large datasets More ❯

Data Engineer - Leading Energy Company - London (Tech Stack: Data Engineer, Databricks, Python, PySpark, Power BI, AWS QuickSight, AWS, TSQL, ETL, Agile Methodologies) Company Overview: Join a dynamic team, a leading player in the energy sector, committed to innovation and sustainable solutions. Our client are seeking a talented Data Engineer to help build and optimise our data infrastructure, enabling them 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 ❯

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 ❯

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, or QlikSense . Ability to create well-documented, scalable, and reusable data solutions. Strong Pre sales experience within a consulting environment Desirable Skills Experience with big data More ❯

of computing Technical tools you may use as a Senior Consultant AWS, Azure Cost-explorer AWS Console & CLI Cloudwatch APIs (further performance metrics) Monitoring tools for CPU Tagging and quicksight Reporting software, e.g. Cloudheath PRTG Zabex MatLab GitHub J-Meter Gatling Scripting and coding software PowerQuery PowerBI If this sounds like something you might be interested in then we More ❯

in tech with a knowledge of computing Technical tools you may use as a Senior Consultant Cost-explorer Cloudwatch APIs (further performance metrics) Monitoring tools for CPU Tagging and quicksight Reporting software, e.g. Cloudheath PRTG MatLab GitHub J-Meter Gatling Scripting and coding software PowerQuery PowerBI If this sounds like something you might be interested in then we want More ❯

and Customer Success teams. You’ll play a key role in making data more accessible and useful, whether that’s through writing reliable SQL queries, building clear dashboards in Quicksight, or promptly responding to data requests with practical, well-structured, and data-grounded answers.In this role, you’ll also be proactive in identifying recurring data requests and working to … real questions, helping teams understand what’s happening and why, and maintaining clarity in how we define and share metrics. Key Responsibilities : Build and maintain clear, reliable dashboards in Quicksight to support day-to-day decision-making across teams. Write clean, well-structured, performant SQL queries to power reports, dashboards, and ad-hoc analysis. Work closely with Sales, Customer … how we manage and share data knowledge internally, from documentation to dashboard standards. Requirements : Strong working knowledge of SQL and Python Experience building and maintaining dashboards using tools like Amazon Quicksight, Tableau, or Looker. Strong attention to detail and a methodical approach to solving data problems. Good communication skills (able to explain findings clearly to both technical and More ❯

and Customer Success teams. You’ll play a key role in making data more accessible and useful, whether that’s through writing reliable SQL queries, building clear dashboards in Quicksight, or promptly responding to data requests with practical, well-structured, and data-grounded answers.In this role, you’ll also be proactive in identifying recurring data requests and working to … real questions, helping teams understand what’s happening and why, and maintaining clarity in how we define and share metrics. Key Responsibilities : Build and maintain clear, reliable dashboards in Quicksight to support day-to-day decision-making across teams. Write clean, well-structured, performant SQL queries to power reports, dashboards, and ad-hoc analysis. Work closely with Sales, Customer … how we manage and share data knowledge internally, from documentation to dashboard standards. Requirements : Strong working knowledge of SQL and Python Experience building and maintaining dashboards using tools like Amazon Quicksight, Tableau, or Looker. Strong attention to detail and a methodical approach to solving data problems. Good communication skills (able to explain findings clearly to both technical and More ❯