901 to 925 of 1,780 Visualisation Jobs in the UK

systems used by support agents. Handle ad-hoc requests including bug fixes, data pulls, and general analytics support. Key Technologies & Tools: Languages: SQL (5+ years), Python (5+ years) Data Visualization: Tableau, MicroStrategy (or similar) Integration Tools: Azure Data Factory, Airflow (or similar) Data Modelling & Pipeline Design Ideal Candidate Background: Proven experience working in fast-paced environments such as big tech More ❯

with Data Warehousing (DWH) ideally with Snowflake or similar cloud data platforms (Databricks or Redshift) Experience with DBT, Kafka, Airflow, and modern ELT/ETL frameworks Familiarity with data visualisation tools like Sisense, Looker, or Tableau Solid understanding of data architecture, transformation workflows, and pipeline orchestration Clear communicator who can collaborate with both technical and non-technical stakeholders Comfortable working More ❯

with Data Warehousing (DWH) ideally with Snowflake or similar cloud data platforms (Databricks or Redshift) Experience with DBT, Kafka, Airflow, and modern ELT/ETL frameworks Familiarity with data visualisation tools like Sisense, Looker, or Tableau Solid understanding of data architecture, transformation workflows, and pipeline orchestration Clear communicator who can collaborate with both technical and non-technical stakeholders Comfortable working More ❯

a successful track record in managing HR projects, people data, reporting and analytics? Are you experienced in HRIS and/or rostering systems, designing or interpreting dashboards and data visualisation and can use AI tools in day to day practice? You will be reporting to the Director of HR and OD and working with a team of 9 in HR More ❯

related field. Proven experience in developing and maintaining data infrastructures. Proficiency in SQL and Python for data manipulation, automation, and analysis. Experience with Business Intelligence (BI) tools and data visualization is a plus. In-depth understanding of risk modelling, including factor risk models and stress testing. Ability to clearly communicate complex risk modelling techniques to non-experts. Familiarity with platforms More ❯

related field. Proven experience in developing and maintaining data infrastructures. Proficiency in SQL and Python for data manipulation, automation, and analysis. Experience with Business Intelligence (BI) tools and data visualization is a plus. In-depth understanding of risk modelling, including factor risk models and stress testing. Ability to clearly communicate complex risk modelling techniques to non-experts. Familiarity with platforms More ❯

reporting and analysis: 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 More ❯

Hands on experience working with machine learning teams; understanding of the core concepts of model evaluation techniques and metrics, and suitable choices of their usage Experience working with data visualisation tools, particularly Grafana Strong communication skills for client-facing interactions Collaborative mindset for cross-functional work Nice to Have Experience with image based machine learning Experience with AI/ML More ❯

Hands on experience working with machine learning teams; understanding of the core concepts of model evaluation techniques and metrics, and suitable choices of their usage Experience working with data visualisation tools, particularly Grafana Strong communication skills for client-facing interactions Collaborative mindset for cross-functional work Nice to Have Experience with image based machine learning Experience with AI/ML More ❯

live interactive workshops lead by Data Scientists, via tailored online learning. You will also have a dedicated Data Mentor. Role Develop your skills in data analysis, coding and data visualisation software Work with business stakeholders to design and deliver analytical solutions and reports Work with other data professionals including and business stakeholders to automate and productionise outputs Communicate with stakeholders More ❯

compliance with our DSPs. Minimum Qualifications Experience programming to extract, transform, and clean large datasets. Proficiency in scripting (e.g., Python) and SQL. Experience administering AWS technologies. Experience with data visualization tools like Quicksight. Ability to translate data into business insights and communicate effectively. Experience managing stakeholders and working in ambiguous environments. Bachelor's degree. Excellent communication skills. Experience working with More ❯

experience - 5+ years 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 More ❯

responsible for ensuring designing and developing operational dashboards using PowerBI and the broader Power Platform suite. Whilst primarily responsible for designing, developing, testing, and maintaining reports using PowerBI data visualisation tool as the preferred technology, you will be working collaboratively across the business to define and develop custom reports and dashboards that deliver real-time information to support the business More ❯

/Computer Science/Finance Experience of working in a Data Scientist role for 1+ years Experience with PowerBI/Qlik or similar style technologies for building pipelines for visualisation Experience working with SAP/Oracle or similar ERP systems for product, sales and pricing data Proficiency in Python, with some knowledge of querying databases Knowledge of machine learning techniques More ❯

role. Strong proficiency in and MS Excel. Excellent data analysis and reporting skills. Ability to work collaboratively and effectively communicate with stakeholders. Nice-to-Have Qualifications: Experience with data visualization tools like Tableau or Qlikview. About Aquent Talent: Aquent Talent connects the best talent in marketing, creative, and design with the world's biggest brands. Aquent is an equal-opportunity More ❯

Confidence in turning data into action, surfacing trends, explaining performance, and prioritising improvements. Familiarity with CRO and behavioural analytics tools (e.g. Hotjar, Optimizely, ContentSquare). Experience with BI and visualisation tools such as Looker, Tableau, or Power BI. Ability to work independently and collaborate cross-functionally with Product, Marketing, UX, and Tech teams. Previous exposure to web replatforming or digital More ❯

knowledge in working with data systems and managing large data sets. Database & API Management : Ability to manage and optimize databases and APIs for efficient data integration and delivery. Data Visualization & Reporting : Expertise in building interactive dashboards and reports using tools like Tableau , Power BI , and Pyramid . SQL : Proficient in SQL or similar querying languages for data extraction and analysis. More ❯

knowledge in working with data systems and managing large data sets. Database & API Management : Ability to manage and optimize databases and APIs for efficient data integration and delivery. Data Visualization & Reporting : Expertise in building interactive dashboards and reports using tools like Tableau , Power BI , and Pyramid . SQL : Proficient in SQL or similar querying languages for data extraction and analysis. More ❯

knowledge in working with data systems and managing large data sets. Database & API Management : Ability to manage and optimize databases and APIs for efficient data integration and delivery. Data Visualization & Reporting : Expertise in building interactive dashboards and reports using tools like Tableau , Power BI , and Pyramid . SQL : Proficient in SQL or similar querying languages for data extraction and analysis. More ❯

knowledge in working with data systems and managing large data sets. Database & API Management : Ability to manage and optimize databases and APIs for efficient data integration and delivery. Data Visualization & Reporting : Expertise in building interactive dashboards and reports using tools like Tableau , Power BI , and Pyramid . SQL : Proficient in SQL or similar querying languages for data extraction and analysis. More ❯

knowledge in working with data systems and managing large data sets. Database & API Management : Ability to manage and optimize databases and APIs for efficient data integration and delivery. Data Visualization & Reporting : Expertise in building interactive dashboards and reports using tools like Tableau , Power BI , and Pyramid . SQL : Proficient in SQL or similar querying languages for data extraction and analysis. More ❯

when things are complex or incomplete. What You'll Bring Strong hands-on expertise in DBT, SQL, Snowflake , and orchestration tools like Airflow. Experience with Azure Data Factory and visualisation tools such as Power BI. Deep knowledge of agile data development methodologies and best practices. A passion for automation-first thinking and platform engineering. Proven experience in technical leadership and More ❯

degree level (in a relevant finance related subject e.g. Economics, Mathematics, Statistics, Accountancy) Experience of working in a Professional Services environment is beneficial but not essential Experience of using visualisation tools, e.g. Power BI, would be beneficial Advanced Excel skills and a good working knowledge of Microsoft Office products (e.g. Word, PowerPoint) Team player, with the ability to work in More ❯

degree level (in a relevant finance related subject e.g. Economics, Mathematics, Statistics, Accountancy) Experience of working in a Professional Services environment is beneficial but not essential Experience of using visualisation tools, e.g. Power BI, would be beneficial Advanced Excel skills and a good working knowledge of Microsoft Office products (e.g. Word, PowerPoint) Team player, with the ability to work in More ❯

with a proven track record Relevant experience in analyzing large data sets, data quality, and data warehousing to identify improvement opportunities Relevant experience creating dashboards using Excel, SQL, and visualization tools PREFERRED QUALIFICATIONS Prior experience as a capacity planner or S&OP analyst. Previous coding experience in R, Python, or VBA. Amazon is an equal opportunities employer. We believe passionately More ❯